diff --git a/llama.cpp b/llama.cpp new file mode 160000 index 0000000..c574bdd --- /dev/null +++ b/llama.cpp @@ -0,0 +1 @@ +Subproject commit c574bddb368424b5996cbee2ec45ec050967d404 diff --git a/llama.cpp/.devops/full-cuda.Dockerfile b/llama.cpp/.devops/full-cuda.Dockerfile deleted file mode 100644 index e5fcb37..0000000 --- a/llama.cpp/.devops/full-cuda.Dockerfile +++ /dev/null @@ -1,33 +0,0 @@ -ARG UBUNTU_VERSION=22.04 - -# This needs to generally match the container host's environment. -ARG CUDA_VERSION=11.7.1 - -# Target the CUDA build image -ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} - -FROM ${BASE_CUDA_DEV_CONTAINER} as build - -# Unless otherwise specified, we make a fat build. -ARG CUDA_DOCKER_ARCH=all - -RUN apt-get update && \ - apt-get install -y build-essential python3 python3-pip - -COPY requirements.txt requirements.txt - -RUN pip install --upgrade pip setuptools wheel \ - && pip install -r requirements.txt - -WORKDIR /app - -COPY . . - -# Set nvcc architecture -ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH} -# Enable cuBLAS -ENV LLAMA_CUBLAS=1 - -RUN make - -ENTRYPOINT ["/app/.devops/tools.sh"] diff --git a/llama.cpp/.devops/full.Dockerfile b/llama.cpp/.devops/full.Dockerfile deleted file mode 100644 index 687628b..0000000 --- a/llama.cpp/.devops/full.Dockerfile +++ /dev/null @@ -1,21 +0,0 @@ -ARG UBUNTU_VERSION=22.04 - -FROM ubuntu:$UBUNTU_VERSION as build - -RUN apt-get update && \ - apt-get install -y build-essential python3 python3-pip git - -COPY requirements.txt requirements.txt - -RUN pip install --upgrade pip setuptools wheel \ - && pip install -r requirements.txt - -WORKDIR /app - -COPY . . - -RUN make - -ENV LC_ALL=C.utf8 - -ENTRYPOINT ["/app/.devops/tools.sh"] diff --git a/llama.cpp/.devops/main-cuda.Dockerfile b/llama.cpp/.devops/main-cuda.Dockerfile deleted file mode 100644 index 30c0119..0000000 --- a/llama.cpp/.devops/main-cuda.Dockerfile +++ /dev/null @@ -1,32 +0,0 @@ -ARG UBUNTU_VERSION=22.04 -# This needs to generally match the container host's environment. -ARG CUDA_VERSION=11.7.1 -# Target the CUDA build image -ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} -# Target the CUDA runtime image -ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} - -FROM ${BASE_CUDA_DEV_CONTAINER} as build - -# Unless otherwise specified, we make a fat build. -ARG CUDA_DOCKER_ARCH=all - -RUN apt-get update && \ - apt-get install -y build-essential - -WORKDIR /app - -COPY . . - -# Set nvcc architecture -ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH} -# Enable cuBLAS -ENV LLAMA_CUBLAS=1 - -RUN make - -FROM ${BASE_CUDA_RUN_CONTAINER} as runtime - -COPY --from=build /app/main /main - -ENTRYPOINT [ "/main" ] diff --git a/llama.cpp/.devops/main.Dockerfile b/llama.cpp/.devops/main.Dockerfile deleted file mode 100644 index 3ab1dec..0000000 --- a/llama.cpp/.devops/main.Dockerfile +++ /dev/null @@ -1,20 +0,0 @@ -ARG UBUNTU_VERSION=22.04 - -FROM ubuntu:$UBUNTU_VERSION as build - -RUN apt-get update && \ - apt-get install -y build-essential git - -WORKDIR /app - -COPY . . - -RUN make - -FROM ubuntu:$UBUNTU_VERSION as runtime - -COPY --from=build /app/main /main - -ENV LC_ALL=C.utf8 - -ENTRYPOINT [ "/main" ] diff --git a/llama.cpp/.devops/tools.sh b/llama.cpp/.devops/tools.sh deleted file mode 100755 index 2787c21..0000000 --- a/llama.cpp/.devops/tools.sh +++ /dev/null @@ -1,44 +0,0 @@ -#!/bin/bash -set -e - -# Read the first argument into a variable -arg1="$1" - -# Shift the arguments to remove the first one -shift - -# Join the remaining arguments into a single string -arg2="$@" - -if [[ "$arg1" == '--convert' || "$arg1" == '-c' ]]; then - python3 ./convert.py "$arg2" -elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then - ./quantize "$arg2" -elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then - ./main "$arg2" -elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then - echo "Converting PTH to GGML..." - for i in `ls $1/$2/ggml-model-f16.bin*`; do - if [ -f "${i/f16/q4_0}" ]; then - echo "Skip model quantization, it already exists: ${i/f16/q4_0}" - else - echo "Converting PTH to GGML: $i into ${i/f16/q4_0}..." - ./quantize "$i" "${i/f16/q4_0}" q4_0 - fi - done -elif [[ "$arg1" == '--server' || "$arg1" == '-s' ]]; then - ./server "$arg2" -else - echo "Unknown command: $arg1" - echo "Available commands: " - echo " --run (-r): Run a model previously converted into ggml" - echo " ex: -m /models/7B/ggml-model-q4_0.bin -p \"Building a website can be done in 10 simple steps:\" -n 512" - echo " --convert (-c): Convert a llama model into ggml" - echo " ex: --outtype f16 \"/models/7B/\" " - echo " --quantize (-q): Optimize with quantization process ggml" - echo " ex: \"/models/7B/ggml-model-f16.bin\" \"/models/7B/ggml-model-q4_0.bin\" 2" - echo " --all-in-one (-a): Execute --convert & --quantize" - echo " ex: \"/models/\" 7B" - echo " --server (-s): Run a model on the server" - echo " ex: -m /models/7B/ggml-model-q4_0.bin -c 2048 -ngl 43 -mg 1 --port 8080" -fi diff --git a/llama.cpp/.dockerignore b/llama.cpp/.dockerignore deleted file mode 100644 index 462fac2..0000000 --- a/llama.cpp/.dockerignore +++ /dev/null @@ -1,24 +0,0 @@ -*.o -*.a -.cache/ -.vs/ -.vscode/ -.DS_Store - -build/ -build-em/ -build-debug/ -build-release/ -build-static/ -build-no-accel/ -build-sanitize-addr/ -build-sanitize-thread/ - -models/* - -/main -/quantize - -arm_neon.h -compile_commands.json -Dockerfile diff --git a/llama.cpp/.ecrc b/llama.cpp/.ecrc deleted file mode 100644 index b682057..0000000 --- a/llama.cpp/.ecrc +++ /dev/null @@ -1,5 +0,0 @@ -{ - "Disable": { - "IndentSize": true - } -} diff --git a/llama.cpp/.editorconfig b/llama.cpp/.editorconfig deleted file mode 100644 index 135a7e4..0000000 --- a/llama.cpp/.editorconfig +++ /dev/null @@ -1,19 +0,0 @@ -# https://EditorConfig.org - -# Top-most EditorConfig file -root = true - -# Unix-style newlines with a newline ending every file, utf-8 charset -[*] -end_of_line = lf -insert_final_newline = true -trim_trailing_whitespace = true -charset = utf-8 -indent_style = space -indent_size = 4 - -[Makefile] -indent_style = tab - -[prompts/*.txt] -insert_final_newline = unset diff --git a/llama.cpp/.flake8 b/llama.cpp/.flake8 deleted file mode 100644 index 113ca5f..0000000 --- a/llama.cpp/.flake8 +++ /dev/null @@ -1,2 +0,0 @@ -[flake8] -max-line-length = 125 diff --git a/llama.cpp/.github/ISSUE_TEMPLATE/custom.md b/llama.cpp/.github/ISSUE_TEMPLATE/custom.md deleted file mode 100644 index 8fd9553..0000000 --- a/llama.cpp/.github/ISSUE_TEMPLATE/custom.md +++ /dev/null @@ -1,185 +0,0 @@ ---- -name: Issue and enhancement template -about: Used to report issues and request enhancements for llama.cpp -title: "[User] Insert summary of your issue or enhancement.." -labels: '' -assignees: '' - ---- - -# Prerequisites - -Please answer the following questions for yourself before submitting an issue. - -- [ ] I am running the latest code. Development is very rapid so there are no tagged versions as of now. -- [ ] I carefully followed the [README.md](https://github.com/ggerganov/llama.cpp/blob/master/README.md). -- [ ] I [searched using keywords relevant to my issue](https://docs.github.com/en/issues/tracking-your-work-with-issues/filtering-and-searching-issues-and-pull-requests) to make sure that I am creating a new issue that is not already open (or closed). -- [ ] I reviewed the [Discussions](https://github.com/ggerganov/llama.cpp/discussions), and have a new bug or useful enhancement to share. - -# Expected Behavior - -Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do. - -# Current Behavior - -Please provide a detailed written description of what `llama.cpp` did, instead. - -# Environment and Context - -Please provide detailed information about your computer setup. This is important in case the issue is not reproducible except for under certain specific conditions. - -* Physical (or virtual) hardware you are using, e.g. for Linux: - -`$ lscpu` - -* Operating System, e.g. for Linux: - -`$ uname -a` - -* SDK version, e.g. for Linux: - -``` -$ python3 --version -$ make --version -$ g++ --version -``` - -# Failure Information (for bugs) - -Please help provide information about the failure if this is a bug. If it is not a bug, please remove the rest of this template. - -# Steps to Reproduce - -Please provide detailed steps for reproducing the issue. We are not sitting in front of your screen, so the more detail the better. - -1. step 1 -2. step 2 -3. step 3 -4. etc. - -# Failure Logs - -Please include any relevant log snippets or files. If it works under one configuration but not under another, please provide logs for both configurations and their corresponding outputs so it is easy to see where behavior changes. - -Also, please try to **avoid using screenshots** if at all possible. Instead, copy/paste the console output and use [Github's markdown](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) to cleanly format your logs for easy readability. - -Example environment info: -``` -llama.cpp$ git log | head -1 -commit 2af23d30434a677c6416812eea52ccc0af65119c - -llama.cpp$ lscpu | egrep "AMD|Flags" -Vendor ID: AuthenticAMD -Model name: AMD Ryzen Threadripper 1950X 16-Core Processor -Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate ssbd ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca sme sev -Virtualization: AMD-V - -llama.cpp$ python3 --version -Python 3.10.9 - -llama.cpp$ pip list | egrep "torch|numpy|sentencepiece" -numpy 1.24.2 -numpydoc 1.5.0 -sentencepiece 0.1.97 -torch 1.13.1 -torchvision 0.14.1 - -llama.cpp$ make --version | head -1 -GNU Make 4.3 - -$ md5sum ./models/65B/ggml-model-q4_0.bin -dbdd682cce80e2d6e93cefc7449df487 ./models/65B/ggml-model-q4_0.bin -``` - -Example run with the Linux command [perf](https://www.brendangregg.com/perf.html) -``` -llama.cpp$ perf stat ./main -m ./models/65B/ggml-model-q4_0.bin -t 16 -n 1024 -p "Please close your issue when it has been answered." -main: seed = 1679149377 -llama_model_load: loading model from './models/65B/ggml-model-q4_0.bin' - please wait ... -llama_model_load: n_vocab = 32000 -llama_model_load: n_ctx = 512 -llama_model_load: n_embd = 8192 -llama_model_load: n_mult = 256 -llama_model_load: n_head = 64 -llama_model_load: n_layer = 80 -llama_model_load: n_rot = 128 -llama_model_load: f16 = 2 -llama_model_load: n_ff = 22016 -llama_model_load: n_parts = 8 -llama_model_load: ggml ctx size = 41477.73 MB -llama_model_load: memory_size = 2560.00 MB, n_mem = 40960 -llama_model_load: loading model part 1/8 from './models/65B/ggml-model-q4_0.bin' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 2/8 from './models/65B/ggml-model-q4_0.bin.1' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 3/8 from './models/65B/ggml-model-q4_0.bin.2' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 4/8 from './models/65B/ggml-model-q4_0.bin.3' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 5/8 from './models/65B/ggml-model-q4_0.bin.4' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 6/8 from './models/65B/ggml-model-q4_0.bin.5' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 7/8 from './models/65B/ggml-model-q4_0.bin.6' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 -llama_model_load: loading model part 8/8 from './models/65B/ggml-model-q4_0.bin.7' -llama_model_load: .......................................................................................... done -llama_model_load: model size = 4869.09 MB / num tensors = 723 - -system_info: n_threads = 16 / 32 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | - -main: prompt: 'Please close your issue when it has been answered.' -main: number of tokens in prompt = 11 - 1 -> '' - 12148 -> 'Please' - 3802 -> ' close' - 596 -> ' your' - 2228 -> ' issue' - 746 -> ' when' - 372 -> ' it' - 756 -> ' has' - 1063 -> ' been' - 7699 -> ' answered' - 29889 -> '.' - -sampling parameters: temp = 0.800000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000 - - -Please close your issue when it has been answered. -@duncan-donut: I'm trying to figure out what kind of "support" you need for this script and why, exactly? Is there a question about how the code works that hasn't already been addressed in one or more comments below this ticket, or are we talking something else entirely like some sorta bugfixing job because your server setup is different from mine?? -I can understand if your site needs to be running smoothly and you need help with a fix of sorts but there should really be nothing wrong here that the code itself could not handle. And given that I'm getting reports about how it works perfectly well on some other servers, what exactly are we talking? A detailed report will do wonders in helping us get this resolved for ya quickly so please take your time and describe the issue(s) you see as clearly & concisely as possible!! -@duncan-donut: I'm not sure if you have access to cPanel but you could try these instructions. It is worth a shot! Let me know how it goes (or what error message, exactly!) when/if ya give that code a go? [end of text] - - -main: mem per token = 71159620 bytes -main: load time = 19309.95 ms -main: sample time = 168.62 ms -main: predict time = 223895.61 ms / 888.47 ms per token -main: total time = 246406.42 ms - - Performance counter stats for './main -m ./models/65B/ggml-model-q4_0.bin -t 16 -n 1024 -p Please close your issue when it has been answered.': - - 3636882.89 msec task-clock # 14.677 CPUs utilized - 13509 context-switches # 3.714 /sec - 2436 cpu-migrations # 0.670 /sec - 10476679 page-faults # 2.881 K/sec - 13133115082869 cycles # 3.611 GHz (16.77%) - 29314462753 stalled-cycles-frontend # 0.22% frontend cycles idle (16.76%) - 10294402631459 stalled-cycles-backend # 78.39% backend cycles idle (16.74%) - 23479217109614 instructions # 1.79 insn per cycle - # 0.44 stalled cycles per insn (16.76%) - 2353072268027 branches # 647.002 M/sec (16.77%) - 1998682780 branch-misses # 0.08% of all branches (16.76%) - - 247.802177522 seconds time elapsed - - 3618.573072000 seconds user - 18.491698000 seconds sys -``` diff --git a/llama.cpp/.github/workflows/build.yml b/llama.cpp/.github/workflows/build.yml deleted file mode 100644 index 84faad3..0000000 --- a/llama.cpp/.github/workflows/build.yml +++ /dev/null @@ -1,632 +0,0 @@ -name: CI - -on: - workflow_dispatch: # allows manual triggering - inputs: - create_release: - description: 'Create new release' - required: true - type: boolean - push: - branches: - - master - paths: ['.github/workflows/**', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu'] - pull_request: - types: [opened, synchronize, reopened] - paths: ['**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu'] - -env: - BRANCH_NAME: ${{ github.head_ref || github.ref_name }} - GGML_NLOOP: 3 - GGML_NITER: 1 - GGML_N_THREADS: 1 - -jobs: - ubuntu-focal-make: - runs-on: ubuntu-20.04 - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential gcc-8 - - - name: Build - id: make_build - run: | - CC=gcc-8 make - - ubuntu-latest-cmake: - runs-on: ubuntu-latest - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Build - id: cmake_build - run: | - mkdir build - cd build - cmake .. - cmake --build . --config Release - - - name: Test - id: cmake_test - run: | - cd build - ctest --verbose --timeout 900 - - ubuntu-latest-cmake-sanitizer: - runs-on: ubuntu-latest - - continue-on-error: true - - strategy: - matrix: - sanitizer: [ADDRESS, THREAD, UNDEFINED] - build_type: [Debug, Release] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential - - - name: Build - id: cmake_build - run: | - mkdir build - cd build - cmake .. -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} - cmake --build . --config ${{ matrix.build_type }} - - - name: Test - id: cmake_test - run: | - cd build - ctest --verbose --timeout 900 - - ubuntu-latest-cmake-mpi: - runs-on: ubuntu-latest - - continue-on-error: true - - strategy: - matrix: - mpi_library: [mpich, libopenmpi-dev] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - run: | - sudo apt-get update - sudo apt-get install build-essential ${{ matrix.mpi_library }} - - - name: Build - id: cmake_build - run: | - mkdir build - cd build - cmake -DLLAMA_MPI=ON .. - cmake --build . --config Release - - - name: Test - id: cmake_test - run: | - cd build - ctest --verbose - - macOS-latest-make: - runs-on: macos-latest - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - continue-on-error: true - run: | - brew update - - - name: Build - id: make_build - run: | - make - - macOS-latest-cmake: - runs-on: macos-latest - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Dependencies - id: depends - continue-on-error: true - run: | - brew update - - - name: Build - id: cmake_build - run: | - sysctl -a - mkdir build - cd build - cmake -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF .. - cmake --build . --config Release - - - name: Test - id: cmake_test - run: | - cd build - ctest --verbose --timeout 900 - - windows-latest-cmake: - runs-on: windows-latest - - env: - OPENBLAS_VERSION: 0.3.23 - OPENCL_VERSION: 2023.04.17 - CLBLAST_VERSION: 1.6.0 - - strategy: - matrix: - include: - - build: 'noavx' - defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF' - - build: 'avx2' - defines: '-DLLAMA_BUILD_SERVER=ON' - - build: 'avx' - defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX2=OFF' - - build: 'avx512' - defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX512=ON -DBUILD_SHARED_LIBS=ON' - - build: 'clblast' - defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/clblast"' - - build: 'openblas' - defines: '-DLLAMA_BUILD_SERVER=ON -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"' - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - name: Download OpenCL SDK - id: get_opencl - if: ${{ matrix.build == 'clblast' }} - run: | - curl.exe -o $env:RUNNER_TEMP/opencl.zip -L "https://github.com/KhronosGroup/OpenCL-SDK/releases/download/v${env:OPENCL_VERSION}/OpenCL-SDK-v${env:OPENCL_VERSION}-Win-x64.zip" - mkdir $env:RUNNER_TEMP/opencl - tar.exe -xvf $env:RUNNER_TEMP/opencl.zip --strip-components=1 -C $env:RUNNER_TEMP/opencl - - - name: Download CLBlast - id: get_clblast - if: ${{ matrix.build == 'clblast' }} - run: | - curl.exe -o $env:RUNNER_TEMP/clblast.7z -L "https://github.com/CNugteren/CLBlast/releases/download/${env:CLBLAST_VERSION}/CLBlast-${env:CLBLAST_VERSION}-windows-x64.7z" - curl.exe -o $env:RUNNER_TEMP/CLBlast.LICENSE.txt -L "https://github.com/CNugteren/CLBlast/raw/${env:CLBLAST_VERSION}/LICENSE" - 7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/clblast.7z - rename-item $env:RUNNER_TEMP/CLBlast-${env:CLBLAST_VERSION}-windows-x64 clblast - foreach ($f in (gci -Recurse -Path "$env:RUNNER_TEMP/clblast" -Filter '*.cmake')) { - $txt = Get-Content -Path $f -Raw - $txt.Replace('C:/vcpkg/packages/opencl_x64-windows/', "$($env:RUNNER_TEMP.Replace('\','/'))/opencl/") | Set-Content -Path $f -Encoding UTF8 - } - - - name: Download OpenBLAS - id: get_openblas - if: ${{ matrix.build == 'openblas' }} - run: | - curl.exe -o $env:RUNNER_TEMP/openblas.zip -L "https://github.com/xianyi/OpenBLAS/releases/download/v${env:OPENBLAS_VERSION}/OpenBLAS-${env:OPENBLAS_VERSION}-x64.zip" - curl.exe -o $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt -L "https://github.com/xianyi/OpenBLAS/raw/v${env:OPENBLAS_VERSION}/LICENSE" - mkdir $env:RUNNER_TEMP/openblas - tar.exe -xvf $env:RUNNER_TEMP/openblas.zip -C $env:RUNNER_TEMP/openblas - $vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath) - $msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim())) - $lib = $(join-path $msvc 'bin\Hostx64\x64\lib.exe') - & $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll - - - name: Build - id: cmake_build - run: | - mkdir build - cd build - cmake .. ${{ matrix.defines }} - cmake --build . --config Release - - - name: Add clblast.dll - id: add_clblast_dll - if: ${{ matrix.build == 'clblast' }} - run: | - cp $env:RUNNER_TEMP/clblast/lib/clblast.dll ./build/bin/Release - cp $env:RUNNER_TEMP/CLBlast.LICENSE.txt ./build/bin/Release/CLBlast-${env:CLBLAST_VERSION}.txt - - - name: Add libopenblas.dll - id: add_libopenblas_dll - if: ${{ matrix.build == 'openblas' }} - run: | - cp $env:RUNNER_TEMP/openblas/bin/libopenblas.dll ./build/bin/Release/openblas.dll - cp $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt ./build/bin/Release/OpenBLAS-${env:OPENBLAS_VERSION}.txt - - - name: Check AVX512F support - id: check_avx512f - if: ${{ matrix.build == 'avx512' }} - continue-on-error: true - run: | - cd build - $vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath) - $msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim())) - $cl = $(join-path $msvc 'bin\Hostx64\x64\cl.exe') - echo 'int main(void){unsigned int a[4];__cpuid(a,7);return !(a[1]&65536);}' >> avx512f.c - & $cl /O2 /GS- /kernel avx512f.c /link /nodefaultlib /entry:main - .\avx512f.exe && echo "AVX512F: YES" && ( echo HAS_AVX512F=1 >> $env:GITHUB_ENV ) || echo "AVX512F: NO" - - - name: Test - id: cmake_test - if: ${{ matrix.build != 'clblast' && (matrix.build != 'avx512' || env.HAS_AVX512F == '1') }} # Test AVX-512 only when possible - run: | - cd build - ctest -C Release --verbose --timeout 900 - - - name: Get commit hash - id: commit - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - uses: pr-mpt/actions-commit-hash@v2 - - - name: Pack artifacts - id: pack_artifacts - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - run: | - Copy-Item LICENSE .\build\bin\Release\llama.cpp.txt - 7z a llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-x64.zip .\build\bin\Release\* - - - name: Upload artifacts - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - uses: actions/upload-artifact@v3 - with: - path: | - llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-x64.zip - - windows-latest-cmake-cublas: - runs-on: windows-latest - - strategy: - matrix: - cuda: ['12.1.0', '11.7.1'] - build: ['cublas'] - - steps: - - name: Clone - id: checkout - uses: actions/checkout@v1 - - - uses: Jimver/cuda-toolkit@v0.2.10 - id: cuda-toolkit - with: - cuda: ${{ matrix.cuda }} - # TODO(green-sky): _dev seems to fail, and non dev are not enought - #sub-packages: '["nvcc", "cudart", "cublas", "cudart_dev", "cublas_dev"]' - - - name: Build - id: cmake_build - run: | - mkdir build - cd build - cmake .. -DLLAMA_BUILD_SERVER=ON -DLLAMA_CUBLAS=ON - cmake --build . --config Release - - - name: Get commit hash - id: commit - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - uses: pr-mpt/actions-commit-hash@v2 - - - name: Pack artifacts - id: pack_artifacts - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - run: | - 7z a llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-cu${{ matrix.cuda }}-x64.zip .\build\bin\Release\* - - - name: Upload artifacts - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - uses: actions/upload-artifact@v3 - with: - path: | - llama-${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }}-bin-win-${{ matrix.build }}-cu${{ matrix.cuda }}-x64.zip - - - name: Copy and pack Cuda runtime - if: ${{ matrix.cuda == '12.1.0' }} - # TODO(green-sky): paths are cuda 12 specific - run: | - echo "Cuda install location: ${{steps.cuda-toolkit.outputs.CUDA_PATH}}" - mkdir '.\build\bin\cudart\' - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cudart64_12.dll" '.\build\bin\cudart\' - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublas64_12.dll" '.\build\bin\cudart\' - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublasLt64_12.dll" '.\build\bin\cudart\' - 7z a cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip .\build\bin\cudart\* - - - name: Copy and pack Cuda runtime - if: ${{ matrix.cuda == '11.7.1' }} - # TODO(green-sky): paths are cuda 11 specific - run: | - echo "Cuda install location: ${{steps.cuda-toolkit.outputs.CUDA_PATH}}" - mkdir '.\build\bin\cudart\' - ls "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin" - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cudart64_110.dll" '.\build\bin\cudart\' - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublas64_11.dll" '.\build\bin\cudart\' - cp "${{steps.cuda-toolkit.outputs.CUDA_PATH}}\bin\cublasLt64_11.dll" '.\build\bin\cudart\' - 7z a cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip .\build\bin\cudart\* - - - name: Upload Cuda runtime - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - uses: actions/upload-artifact@v3 - with: - path: | - cudart-llama-bin-win-cu${{ matrix.cuda }}-x64.zip - - release: - if: ${{ ( github.event_name == 'push' && github.ref == 'refs/heads/master' ) || github.event.inputs.create_release == 'true' }} - - runs-on: ubuntu-latest - - needs: - - ubuntu-focal-make - - ubuntu-latest-cmake - - macOS-latest-make - - macOS-latest-cmake - - windows-latest-cmake - - windows-latest-cmake-cublas - - steps: - - name: Download artifacts - id: download-artifact - uses: actions/download-artifact@v3 - - - name: Get commit hash - id: commit - uses: pr-mpt/actions-commit-hash@v2 - - - name: Create release - id: create_release - uses: anzz1/action-create-release@v1 - env: - GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} - with: - tag_name: ${{ env.BRANCH_NAME }}-${{ steps.commit.outputs.short }} - - - name: Upload release - id: upload_release - uses: actions/github-script@v3 - with: - github-token: ${{secrets.GITHUB_TOKEN}} - script: | - const path = require('path'); - const fs = require('fs'); - const release_id = '${{ steps.create_release.outputs.id }}'; - for (let file of await fs.readdirSync('./artifact')) { - if (path.extname(file) === '.zip') { - console.log('uploadReleaseAsset', file); - await github.repos.uploadReleaseAsset({ - owner: context.repo.owner, - repo: context.repo.repo, - release_id: release_id, - name: file, - data: await fs.readFileSync(`./artifact/${file}`) - }); - } - } - -# ubuntu-latest-gcc: -# runs-on: ubuntu-latest -# -# strategy: -# matrix: -# build: [Debug, Release] -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Dependencies -# run: | -# sudo apt-get update -# sudo apt-get install build-essential -# sudo apt-get install cmake -# -# - name: Configure -# run: cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }} -# -# - name: Build -# run: | -# make -# -# ubuntu-latest-clang: -# runs-on: ubuntu-latest -# -# strategy: -# matrix: -# build: [Debug, Release] -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Dependencies -# run: | -# sudo apt-get update -# sudo apt-get install build-essential -# sudo apt-get install cmake -# -# - name: Configure -# run: cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }} -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_COMPILER=clang -# -# - name: Build -# run: | -# make -# -# ubuntu-latest-gcc-sanitized: -# runs-on: ubuntu-latest -# -# strategy: -# matrix: -# sanitizer: [ADDRESS, THREAD, UNDEFINED] -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Dependencies -# run: | -# sudo apt-get update -# sudo apt-get install build-essential -# sudo apt-get install cmake -# -# - name: Configure -# run: cmake . -DCMAKE_BUILD_TYPE=Debug -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON -# -# - name: Build -# run: | -# make -# -# windows: -# runs-on: windows-latest -# -# strategy: -# matrix: -# build: [Release] -# arch: [Win32, x64] -# include: -# - arch: Win32 -# s2arc: x86 -# - arch: x64 -# s2arc: x64 -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Add msbuild to PATH -# uses: microsoft/setup-msbuild@v1 -# -# - name: Configure -# run: > -# cmake -S . -B ./build -A ${{ matrix.arch }} -# -DCMAKE_BUILD_TYPE=${{ matrix.build }} -# -# - name: Build -# run: | -# cd ./build -# msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }} -# -# - name: Upload binaries -# uses: actions/upload-artifact@v1 -# with: -# name: llama-bin-${{ matrix.arch }} -# path: build/bin/${{ matrix.build }} -# -# windows-blas: -# runs-on: windows-latest -# -# strategy: -# matrix: -# build: [Release] -# arch: [Win32, x64] -# blas: [ON] -# include: -# - arch: Win32 -# obzip: https://github.com/xianyi/OpenBLAS/releases/download/v0.3.21/OpenBLAS-0.3.21-x86.zip -# s2arc: x86 -# - arch: x64 -# obzip: https://github.com/xianyi/OpenBLAS/releases/download/v0.3.21/OpenBLAS-0.3.21-x64.zip -# s2arc: x64 -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Add msbuild to PATH -# uses: microsoft/setup-msbuild@v1 -# -# - name: Fetch OpenBLAS -# if: matrix.blas == 'ON' -# run: | -# C:/msys64/usr/bin/wget.exe -qO blas.zip ${{ matrix.obzip }} -# 7z x blas.zip -oblas -y -# copy blas/include/cblas.h . -# copy blas/include/openblas_config.h . -# echo "blasdir=$env:GITHUB_WORKSPACE/blas" >> $env:GITHUB_ENV -# -# - name: Configure -# run: > -# cmake -S . -B ./build -A ${{ matrix.arch }} -# -DCMAKE_BUILD_TYPE=${{ matrix.build }} -# -DLLAMA_SUPPORT_OPENBLAS=${{ matrix.blas }} -# -DCMAKE_LIBRARY_PATH="$env:blasdir/lib" -# -# - name: Build -# run: | -# cd ./build -# msbuild ALL_BUILD.vcxproj -t:build -p:configuration=${{ matrix.build }} -p:platform=${{ matrix.arch }} -# -# - name: Copy libopenblas.dll -# if: matrix.blas == 'ON' -# run: copy "$env:blasdir/bin/libopenblas.dll" build/bin/${{ matrix.build }} -# -# - name: Upload binaries -# if: matrix.blas == 'ON' -# uses: actions/upload-artifact@v1 -# with: -# name: llama-blas-bin-${{ matrix.arch }} -# path: build/bin/${{ matrix.build }} -# -# emscripten: -# runs-on: ubuntu-latest -# -# strategy: -# matrix: -# build: [Release] -# -# steps: -# - name: Clone -# uses: actions/checkout@v1 -# -# - name: Dependencies -# run: | -# wget -q https://github.com/emscripten-core/emsdk/archive/master.tar.gz -# tar -xvf master.tar.gz -# emsdk-master/emsdk update -# emsdk-master/emsdk install latest -# emsdk-master/emsdk activate latest -# -# - name: Configure -# run: echo "tmp" -# -# - name: Build -# run: | -# pushd emsdk-master -# source ./emsdk_env.sh -# popd -# emcmake cmake . -DCMAKE_BUILD_TYPE=${{ matrix.build }} -# make diff --git a/llama.cpp/.github/workflows/docker.yml b/llama.cpp/.github/workflows/docker.yml deleted file mode 100644 index 379fbd7..0000000 --- a/llama.cpp/.github/workflows/docker.yml +++ /dev/null @@ -1,65 +0,0 @@ -# This workflow uses actions that are not certified by GitHub. -# They are provided by a third-party and are governed by -# separate terms of service, privacy policy, and support -# documentation. - -# GitHub recommends pinning actions to a commit SHA. -# To get a newer version, you will need to update the SHA. -# You can also reference a tag or branch, but the action may change without warning. - -name: Publish Docker image - -on: - pull_request: - push: - branches: - - master - -jobs: - push_to_registry: - name: Push Docker image to Docker Hub - if: github.event.pull_request.draft == false - - runs-on: ubuntu-latest - env: - COMMIT_SHA: ${{ github.sha }} - strategy: - matrix: - config: - - { tag: "light", dockerfile: ".devops/main.Dockerfile" } - - { tag: "full", dockerfile: ".devops/full.Dockerfile" } - steps: - - name: Check out the repo - uses: actions/checkout@v3 - - - name: Set up QEMU - uses: docker/setup-qemu-action@v2 - - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v2 - - - name: Log in to Docker Hub - uses: docker/login-action@v2 - with: - registry: ghcr.io - username: ${{ github.repository_owner }} - password: ${{ secrets.GITHUB_TOKEN }} - - - name: Build and push Docker image (versioned) - if: github.event_name == 'push' - uses: docker/build-push-action@v4 - with: - context: . - push: true - platforms: linux/amd64,linux/arm64 - tags: "ghcr.io/ggerganov/llama.cpp:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}" - file: ${{ matrix.config.dockerfile }} - - - name: Build and push Docker image (tagged) - uses: docker/build-push-action@v4 - with: - context: . - push: ${{ github.event_name == 'push' }} - platforms: linux/amd64,linux/arm64 - tags: "ghcr.io/ggerganov/llama.cpp:${{ matrix.config.tag }}" - file: ${{ matrix.config.dockerfile }} diff --git a/llama.cpp/.github/workflows/editorconfig.yml b/llama.cpp/.github/workflows/editorconfig.yml deleted file mode 100644 index b4e535a..0000000 --- a/llama.cpp/.github/workflows/editorconfig.yml +++ /dev/null @@ -1,17 +0,0 @@ -name: EditorConfig Checker - -on: - push: - branches: - - master - pull_request: - branches: - - master - -jobs: - editorconfig: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - uses: editorconfig-checker/action-editorconfig-checker@main - - run: editorconfig-checker diff --git a/llama.cpp/.github/workflows/tidy-post.yml b/llama.cpp/.github/workflows/tidy-post.yml deleted file mode 100644 index 0365276..0000000 --- a/llama.cpp/.github/workflows/tidy-post.yml +++ /dev/null @@ -1,20 +0,0 @@ -name: clang-tidy review post comments - -on: - workflow_dispatch: - workflows: ["clang-tidy-review"] - types: - - completed - -jobs: - build: - runs-on: ubuntu-latest - - steps: - - uses: ZedThree/clang-tidy-review/post@v0.13.0 - # lgtm_comment_body, max_comments, and annotations need to be set on the posting workflow in a split setup - with: - # adjust options as necessary - lgtm_comment_body: '' - annotations: false - max_comments: 25 diff --git a/llama.cpp/.github/workflows/tidy-review.yml b/llama.cpp/.github/workflows/tidy-review.yml deleted file mode 100644 index a4bc8d9..0000000 --- a/llama.cpp/.github/workflows/tidy-review.yml +++ /dev/null @@ -1,23 +0,0 @@ -name: clang-tidy-review - -on: - pull_request: - branches: - - master - -jobs: - clang-tidy-review: - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v3 - - - uses: ZedThree/clang-tidy-review@v0.13.0 - id: review - with: - lgtm_comment_body: '' - build_dir: build - cmake_command: cmake . -B build -DCMAKE_EXPORT_COMPILE_COMMANDS=on - split_workflow: true - - - uses: ZedThree/clang-tidy-review/upload@v0.13.0 diff --git a/llama.cpp/.gitignore b/llama.cpp/.gitignore deleted file mode 100644 index c1ab6bb..0000000 --- a/llama.cpp/.gitignore +++ /dev/null @@ -1,78 +0,0 @@ -*.o -*.a -*.so -.DS_Store -.build/ -.cache/ -.direnv/ -.envrc -.swiftpm -.venv -.clang-tidy -.vs/ -.vscode/ - -build/ -build-em/ -build-debug/ -build-release/ -build-ci-debug/ -build-ci-release/ -build-static/ -build-cublas/ -build-opencl/ -build-metal/ -build-mpi/ -build-no-accel/ -build-sanitize-addr/ -build-sanitize-thread/ -out/ -tmp/ - -models/* -models-mnt - -/main -/quantize -/quantize-stats -/result -/perplexity -/embedding -/train-text-from-scratch -/simple -/benchmark-matmult -/vdot -/server -/Pipfile -/embd-input-test -/libllama.so -build-info.h -arm_neon.h -compile_commands.json -CMakeSettings.json - -__pycache__ - -zig-out/ -zig-cache/ - -ppl-*.txt -qnt-*.txt -perf-*.txt - -examples/jeopardy/results.txt - - -pyproject.toml -poetry.lock -poetry.toml - -# Test binaries -tests/test-double-float -tests/test-grad0 -tests/test-opt -tests/test-quantize-fns -tests/test-quantize-perf -tests/test-sampling -tests/test-tokenizer-0 - diff --git a/llama.cpp/.pre-commit-config.yaml b/llama.cpp/.pre-commit-config.yaml deleted file mode 100644 index 65796fe..0000000 --- a/llama.cpp/.pre-commit-config.yaml +++ /dev/null @@ -1,15 +0,0 @@ -# See https://pre-commit.com for more information -# See https://pre-commit.com/hooks.html for more hooks -exclude: prompts/.*.txt -repos: -- repo: https://github.com/pre-commit/pre-commit-hooks - rev: v3.2.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer - - id: check-yaml - - id: check-added-large-files -- repo: https://github.com/PyCQA/flake8 - rev: 6.0.0 - hooks: - - id: flake8 diff --git a/llama.cpp/CMakeLists.txt b/llama.cpp/CMakeLists.txt deleted file mode 100644 index 1d4e63f..0000000 --- a/llama.cpp/CMakeLists.txt +++ /dev/null @@ -1,589 +0,0 @@ -cmake_minimum_required(VERSION 3.12) # Don't bump this version for no reason -project("llama.cpp" C CXX) - -set(CMAKE_EXPORT_COMPILE_COMMANDS ON) - -if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE) - set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE) - set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo") -endif() - -set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin) - -if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR) - set(LLAMA_STANDALONE ON) - - # configure project version - # TODO -else() - set(LLAMA_STANDALONE OFF) -endif() - -if (EMSCRIPTEN) - set(BUILD_SHARED_LIBS_DEFAULT OFF) - - option(LLAMA_WASM_SINGLE_FILE "llama: embed WASM inside the generated llama.js" ON) -else() - if (MINGW) - set(BUILD_SHARED_LIBS_DEFAULT OFF) - else() - set(BUILD_SHARED_LIBS_DEFAULT ON) - endif() -endif() - - -# -# Option list -# - -# general -option(LLAMA_STATIC "llama: static link libraries" OFF) -option(LLAMA_NATIVE "llama: enable -march=native flag" OFF) -option(LLAMA_LTO "llama: enable link time optimization" OFF) - -# debug -option(LLAMA_ALL_WARNINGS "llama: enable all compiler warnings" ON) -option(LLAMA_ALL_WARNINGS_3RD_PARTY "llama: enable all compiler warnings in 3rd party libs" OFF) -option(LLAMA_GPROF "llama: enable gprof" OFF) - -# sanitizers -option(LLAMA_SANITIZE_THREAD "llama: enable thread sanitizer" OFF) -option(LLAMA_SANITIZE_ADDRESS "llama: enable address sanitizer" OFF) -option(LLAMA_SANITIZE_UNDEFINED "llama: enable undefined sanitizer" OFF) - -# instruction set specific -option(LLAMA_AVX "llama: enable AVX" ON) -option(LLAMA_AVX2 "llama: enable AVX2" ON) -option(LLAMA_AVX512 "llama: enable AVX512" OFF) -option(LLAMA_AVX512_VBMI "llama: enable AVX512-VBMI" OFF) -option(LLAMA_AVX512_VNNI "llama: enable AVX512-VNNI" OFF) -option(LLAMA_FMA "llama: enable FMA" ON) -# in MSVC F16C is implied with AVX2/AVX512 -if (NOT MSVC) - option(LLAMA_F16C "llama: enable F16C" ON) -endif() - -# 3rd party libs -option(LLAMA_ACCELERATE "llama: enable Accelerate framework" ON) -option(LLAMA_BLAS "llama: use BLAS" OFF) -set(LLAMA_BLAS_VENDOR "Generic" CACHE STRING "llama: BLAS library vendor") -option(LLAMA_CUBLAS "llama: use CUDA" OFF) -#option(LLAMA_CUDA_CUBLAS "llama: use cuBLAS for prompt processing" OFF) -set(LLAMA_CUDA_MMQ_Y "64" CACHE STRING "llama: y tile size for mmq CUDA kernels") -option(LLAMA_CUDA_FORCE_DMMV "llama: use dmmv instead of mmvq CUDA kernels" OFF) -set(LLAMA_CUDA_DMMV_X "32" CACHE STRING "llama: x stride for dmmv CUDA kernels") -set(LLAMA_CUDA_MMV_Y "1" CACHE STRING "llama: y block size for mmv CUDA kernels") -option(LLAMA_CUDA_F16 "llama: use 16 bit floats for some calculations" OFF) -set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K") -option(LLAMA_CLBLAST "llama: use CLBlast" OFF) -option(LLAMA_METAL "llama: use Metal" OFF) -option(LLAMA_MPI "llama: use MPI" OFF) -option(LLAMA_K_QUANTS "llama: use k-quants" ON) -option(LLAMA_QKK_64 "llama: use super-block size of 64 for k-quants" OFF) - -option(LLAMA_BUILD_TESTS "llama: build tests" ${LLAMA_STANDALONE}) -option(LLAMA_BUILD_EXAMPLES "llama: build examples" ${LLAMA_STANDALONE}) -option(LLAMA_BUILD_SERVER "llama: build server example" ON) - -# -# Build info header -# - -# Generate initial build-info.h -include(${CMAKE_CURRENT_SOURCE_DIR}/scripts/build-info.cmake) - -if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/.git") - set(GIT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/.git") - - # Is git submodule - if(NOT IS_DIRECTORY "${GIT_DIR}") - file(READ ${GIT_DIR} REAL_GIT_DIR_LINK) - string(REGEX REPLACE "gitdir: (.*)\n$" "\\1" REAL_GIT_DIR ${REAL_GIT_DIR_LINK}) - set(GIT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/${REAL_GIT_DIR}") - endif() - - # Add a custom target for build-info.h - add_custom_target(BUILD_INFO ALL DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/build-info.h") - - # Add a custom command to rebuild build-info.h when .git/index changes - add_custom_command( - OUTPUT "${CMAKE_CURRENT_SOURCE_DIR}/build-info.h" - COMMENT "Generating build details from Git" - COMMAND ${CMAKE_COMMAND} -P "${CMAKE_CURRENT_SOURCE_DIR}/scripts/build-info.cmake" - WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} - DEPENDS "${GIT_DIR}/index" - VERBATIM - ) -else() - message(WARNING "Git repository not found; to enable automatic generation of build info, make sure Git is installed and the project is a Git repository.") -endif() - -# -# Compile flags -# - -set(CMAKE_CXX_STANDARD 11) -set(CMAKE_CXX_STANDARD_REQUIRED true) -set(CMAKE_C_STANDARD 11) -set(CMAKE_C_STANDARD_REQUIRED true) -set(THREADS_PREFER_PTHREAD_FLAG ON) -find_package(Threads REQUIRED) - -if (NOT MSVC) - if (LLAMA_SANITIZE_THREAD) - add_compile_options(-fsanitize=thread) - link_libraries(-fsanitize=thread) - endif() - - if (LLAMA_SANITIZE_ADDRESS) - add_compile_options(-fsanitize=address -fno-omit-frame-pointer) - link_libraries(-fsanitize=address) - endif() - - if (LLAMA_SANITIZE_UNDEFINED) - add_compile_options(-fsanitize=undefined) - link_libraries(-fsanitize=undefined) - endif() -endif() - -if (APPLE AND LLAMA_ACCELERATE) - find_library(ACCELERATE_FRAMEWORK Accelerate) - if (ACCELERATE_FRAMEWORK) - message(STATUS "Accelerate framework found") - - add_compile_definitions(GGML_USE_ACCELERATE) - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${ACCELERATE_FRAMEWORK}) - else() - message(WARNING "Accelerate framework not found") - endif() -endif() - -if (LLAMA_BLAS) - if (LLAMA_STATIC) - set(BLA_STATIC ON) - endif() - if ($(CMAKE_VERSION) VERSION_GREATER_EQUAL 3.22) - set(BLA_SIZEOF_INTEGER 8) - endif() - - set(BLA_VENDOR ${LLAMA_BLAS_VENDOR}) - find_package(BLAS) - - if (BLAS_FOUND) - message(STATUS "BLAS found, Libraries: ${BLAS_LIBRARIES}") - - if ("${BLAS_INCLUDE_DIRS}" STREQUAL "") - # BLAS_INCLUDE_DIRS is missing in FindBLAS.cmake. - # see https://gitlab.kitware.com/cmake/cmake/-/issues/20268 - find_package(PkgConfig REQUIRED) - if (${LLAMA_BLAS_VENDOR} MATCHES "Generic") - pkg_check_modules(DepBLAS REQUIRED blas) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "OpenBLAS") - pkg_check_modules(DepBLAS REQUIRED openblas) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "FLAME") - pkg_check_modules(DepBLAS REQUIRED blis) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "ATLAS") - pkg_check_modules(DepBLAS REQUIRED blas-atlas) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "FlexiBLAS") - pkg_check_modules(DepBLAS REQUIRED flexiblas_api) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "Intel") - # all Intel* libraries share the same include path - pkg_check_modules(DepBLAS REQUIRED mkl-sdl) - elseif (${LLAMA_BLAS_VENDOR} MATCHES "NVHPC") - # this doesn't provide pkg-config - # suggest to assign BLAS_INCLUDE_DIRS on your own - if ("${NVHPC_VERSION}" STREQUAL "") - message(WARNING "Better to set NVHPC_VERSION") - else() - set(DepBLAS_FOUND ON) - set(DepBLAS_INCLUDE_DIRS "/opt/nvidia/hpc_sdk/${CMAKE_SYSTEM_NAME}_${CMAKE_SYSTEM_PROCESSOR}/${NVHPC_VERSION}/math_libs/include") - endif() - endif() - if (DepBLAS_FOUND) - set(BLAS_INCLUDE_DIRS ${DepBLAS_INCLUDE_DIRS}) - else() - message(WARNING "BLAS_INCLUDE_DIRS neither been provided nor been automatically" - " detected by pkgconfig, trying to find cblas.h from possible paths...") - find_path(BLAS_INCLUDE_DIRS - NAMES cblas.h - HINTS - /usr/include - /usr/local/include - /usr/include/openblas - /opt/homebrew/opt/openblas/include - /usr/local/opt/openblas/include - /usr/include/x86_64-linux-gnu/openblas/include - ) - endif() - endif() - - message(STATUS "BLAS found, Includes: ${BLAS_INCLUDE_DIRS}") - add_compile_options(${BLAS_LINKER_FLAGS}) - add_compile_definitions(GGML_USE_OPENBLAS) - if (${BLAS_INCLUDE_DIRS} MATCHES "mkl" AND (${LLAMA_BLAS_VENDOR} MATCHES "Generic" OR ${LLAMA_BLAS_VENDOR} MATCHES "Intel")) - add_compile_definitions(GGML_BLAS_USE_MKL) - endif() - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${BLAS_LIBRARIES}) - set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${BLAS_INCLUDE_DIRS}) - - else() - message(WARNING "BLAS not found, please refer to " - "https://cmake.org/cmake/help/latest/module/FindBLAS.html#blas-lapack-vendors" - " to set correct LLAMA_BLAS_VENDOR") - endif() -endif() - -if (LLAMA_K_QUANTS) - set(GGML_SOURCES_EXTRA ${GGML_SOURCES_EXTRA} k_quants.c k_quants.h) - add_compile_definitions(GGML_USE_K_QUANTS) - if (LLAMA_QKK_64) - add_compile_definitions(GGML_QKK_64) - endif() -endif() - -if (LLAMA_CUBLAS) - cmake_minimum_required(VERSION 3.17) - - find_package(CUDAToolkit) - if (CUDAToolkit_FOUND) - message(STATUS "cuBLAS found") - - enable_language(CUDA) - - set(GGML_SOURCES_CUDA ggml-cuda.cu ggml-cuda.h) - - add_compile_definitions(GGML_USE_CUBLAS) -# if (LLAMA_CUDA_CUBLAS) -# add_compile_definitions(GGML_CUDA_CUBLAS) -# endif() - add_compile_definitions(GGML_CUDA_MMQ_Y=${LLAMA_CUDA_MMQ_Y}) - if (LLAMA_CUDA_FORCE_DMMV) - add_compile_definitions(GGML_CUDA_FORCE_DMMV) - endif() - add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) - add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) - if (DEFINED LLAMA_CUDA_DMMV_Y) - add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_DMMV_Y}) # for backwards compatibility - endif() - if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16) - add_compile_definitions(GGML_CUDA_F16) - endif() - add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) - - if (LLAMA_STATIC) - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static) - else() - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt) - endif() - - if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES) - # 52 == lowest CUDA 12 standard - # 60 == f16 CUDA intrinsics - # 61 == integer CUDA intrinsics - # 70 == (assumed) compute capability at which unrolling a loop in mul_mat_q kernels is faster - if (LLAMA_CUDA_DMMV_F16) - set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics - else() - set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics - endif() - endif() - message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}") - - else() - message(WARNING "cuBLAS not found") - endif() -endif() - -if (LLAMA_METAL) - find_library(FOUNDATION_LIBRARY Foundation REQUIRED) - find_library(METAL_FRAMEWORK Metal REQUIRED) - find_library(METALKIT_FRAMEWORK MetalKit REQUIRED) - find_library(METALPERFORMANCE_FRAMEWORK MetalPerformanceShaders REQUIRED) - - set(GGML_SOURCES_METAL ggml-metal.m ggml-metal.h) - - add_compile_definitions(GGML_USE_METAL) - add_compile_definitions(GGML_METAL_NDEBUG) - - # get full path to the file - #add_compile_definitions(GGML_METAL_DIR_KERNELS="${CMAKE_CURRENT_SOURCE_DIR}/") - - # copy ggml-metal.metal to bin directory - configure_file(ggml-metal.metal bin/ggml-metal.metal COPYONLY) - - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} - ${FOUNDATION_LIBRARY} - ${METAL_FRAMEWORK} - ${METALKIT_FRAMEWORK} - ${METALPERFORMANCE_FRAMEWORK} - ) -endif() - -if (LLAMA_MPI) - cmake_minimum_required(VERSION 3.10) - find_package(MPI) - if (MPI_C_FOUND) - message(STATUS "MPI found") - set(GGML_SOURCES_MPI ggml-mpi.c ggml-mpi.h) - add_compile_definitions(GGML_USE_MPI) - add_compile_definitions(${MPI_C_COMPILE_DEFINITIONS}) - set(cxx_flags ${cxx_flags} -Wno-cast-qual) - set(c_flags ${c_flags} -Wno-cast-qual) - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${MPI_C_LIBRARIES}) - set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${MPI_C_INCLUDE_DIRS}) - # Even if you're only using the C header, C++ programs may bring in MPI - # C++ functions, so more linkage is needed - if (MPI_CXX_FOUND) - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${MPI_CXX_LIBRARIES}) - endif() - else() - message(WARNING "MPI not found") - endif() -endif() - -if (LLAMA_CLBLAST) - find_package(CLBlast) - if (CLBlast_FOUND) - message(STATUS "CLBlast found") - - set(GGML_SOURCES_OPENCL ggml-opencl.cpp ggml-opencl.h) - - add_compile_definitions(GGML_USE_CLBLAST) - - set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} clblast) - else() - message(WARNING "CLBlast not found") - endif() -endif() - -if (LLAMA_ALL_WARNINGS) - if (NOT MSVC) - set(c_flags - -Wall - -Wextra - -Wpedantic - -Wcast-qual - -Wdouble-promotion - -Wshadow - -Wstrict-prototypes - -Wpointer-arith - -Wmissing-prototypes - ) - set(cxx_flags - -Wall - -Wextra - -Wpedantic - -Wcast-qual - -Wno-unused-function - -Wno-multichar - ) - else() - # todo : msvc - endif() - - add_compile_options( - "$<$:${c_flags}>" - "$<$:${cxx_flags}>" - ) - -endif() - -if (MSVC) - add_compile_definitions(_CRT_SECURE_NO_WARNINGS) - - if (BUILD_SHARED_LIBS) - set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON) - endif() -endif() - -if (LLAMA_LTO) - include(CheckIPOSupported) - check_ipo_supported(RESULT result OUTPUT output) - if (result) - set(CMAKE_INTERPROCEDURAL_OPTIMIZATION TRUE) - else() - message(WARNING "IPO is not supported: ${output}") - endif() -endif() - -# Architecture specific -# TODO: probably these flags need to be tweaked on some architectures -# feel free to update the Makefile for your architecture and send a pull request or issue -message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}") -if (NOT MSVC) - if (LLAMA_STATIC) - add_link_options(-static) - if (MINGW) - add_link_options(-static-libgcc -static-libstdc++) - endif() - endif() - if (LLAMA_GPROF) - add_compile_options(-pg) - endif() - if (LLAMA_NATIVE) - add_compile_options(-march=native) - endif() -endif() - -if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64") - message(STATUS "ARM detected") - if (MSVC) - # TODO: arm msvc? - else() - if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv6") - # Raspberry Pi 1, Zero - add_compile_options(-mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access) - endif() - if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv7") - # Raspberry Pi 2 - add_compile_options(-mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations) - endif() - if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv8") - # Raspberry Pi 3, 4, Zero 2 (32-bit) - add_compile_options(-mfp16-format=ieee -mno-unaligned-access) - endif() - endif() -elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "^(x86_64|i686|AMD64)$") - message(STATUS "x86 detected") - if (MSVC) - if (LLAMA_AVX512) - add_compile_options($<$:/arch:AVX512>) - add_compile_options($<$:/arch:AVX512>) - # MSVC has no compile-time flags enabling specific - # AVX512 extensions, neither it defines the - # macros corresponding to the extensions. - # Do it manually. - if (LLAMA_AVX512_VBMI) - add_compile_definitions($<$:__AVX512VBMI__>) - add_compile_definitions($<$:__AVX512VBMI__>) - endif() - if (LLAMA_AVX512_VNNI) - add_compile_definitions($<$:__AVX512VNNI__>) - add_compile_definitions($<$:__AVX512VNNI__>) - endif() - elseif (LLAMA_AVX2) - add_compile_options($<$:/arch:AVX2>) - add_compile_options($<$:/arch:AVX2>) - elseif (LLAMA_AVX) - add_compile_options($<$:/arch:AVX>) - add_compile_options($<$:/arch:AVX>) - endif() - else() - if (LLAMA_F16C) - add_compile_options(-mf16c) - endif() - if (LLAMA_FMA) - add_compile_options(-mfma) - endif() - if (LLAMA_AVX) - add_compile_options(-mavx) - endif() - if (LLAMA_AVX2) - add_compile_options(-mavx2) - endif() - if (LLAMA_AVX512) - add_compile_options(-mavx512f) - add_compile_options(-mavx512bw) - endif() - if (LLAMA_AVX512_VBMI) - add_compile_options(-mavx512vbmi) - endif() - if (LLAMA_AVX512_VNNI) - add_compile_options(-mavx512vnni) - endif() - endif() -elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64") - message(STATUS "PowerPC detected") - add_compile_options(-mcpu=native -mtune=native) - #TODO: Add targets for Power8/Power9 (Altivec/VSX) and Power10(MMA) and query for big endian systems (ppc64/le/be) -else() - message(STATUS "Unknown architecture") -endif() - -# -# Build libraries -# - -add_library(ggml OBJECT - ggml.c - ggml.h - ggml-alloc.c - ggml-alloc.h - ${GGML_SOURCES_CUDA} - ${GGML_SOURCES_OPENCL} - ${GGML_SOURCES_METAL} - ${GGML_SOURCES_MPI} - ${GGML_SOURCES_EXTRA} - ) - -target_include_directories(ggml PUBLIC . ${LLAMA_EXTRA_INCLUDES}) -target_compile_features(ggml PUBLIC c_std_11) # don't bump -target_link_libraries(ggml PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS}) - -add_library(ggml_static STATIC $) -if (BUILD_SHARED_LIBS) - set_target_properties(ggml PROPERTIES POSITION_INDEPENDENT_CODE ON) - add_library(ggml_shared SHARED $) - target_link_libraries(ggml_shared PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS}) - install(TARGETS ggml_shared LIBRARY) -endif() - -add_library(llama - llama.cpp - llama.h - llama-util.h - ) - -target_include_directories(llama PUBLIC .) -target_compile_features(llama PUBLIC cxx_std_11) # don't bump -target_link_libraries(llama PRIVATE - ggml - ${LLAMA_EXTRA_LIBS} - ) - -if (BUILD_SHARED_LIBS) - set_target_properties(llama PROPERTIES POSITION_INDEPENDENT_CODE ON) - target_compile_definitions(llama PRIVATE LLAMA_SHARED LLAMA_BUILD) - if (LLAMA_METAL) - set_target_properties(llama PROPERTIES RESOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal") - endif() - install(TARGETS llama LIBRARY) -endif() - -include(GNUInstallDirs) -install( - FILES convert.py - PERMISSIONS - OWNER_READ - OWNER_WRITE - OWNER_EXECUTE - GROUP_READ - GROUP_EXECUTE - WORLD_READ - WORLD_EXECUTE - DESTINATION ${CMAKE_INSTALL_BINDIR}) -install( - FILES convert-lora-to-ggml.py - PERMISSIONS - OWNER_READ - OWNER_WRITE - OWNER_EXECUTE - GROUP_READ - GROUP_EXECUTE - WORLD_READ - WORLD_EXECUTE - DESTINATION ${CMAKE_INSTALL_BINDIR}) - -# -# programs, examples and tests -# - -if (LLAMA_BUILD_TESTS AND NOT CMAKE_JS_VERSION) - include(CTest) - add_subdirectory(tests) -endif () - -if (LLAMA_BUILD_EXAMPLES) - add_subdirectory(examples) - add_subdirectory(pocs) -endif() diff --git a/llama.cpp/LICENSE b/llama.cpp/LICENSE deleted file mode 100644 index 76f67ef..0000000 --- a/llama.cpp/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2023 Georgi Gerganov - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/llama.cpp/Makefile b/llama.cpp/Makefile deleted file mode 100644 index 100614b..0000000 --- a/llama.cpp/Makefile +++ /dev/null @@ -1,433 +0,0 @@ -# Define the default target now so that it is always the first target -BUILD_TARGETS = main quantize quantize-stats perplexity embedding vdot train-text-from-scratch simple server embd-input-test - -# Binaries only useful for tests -TEST_TARGETS = tests/test-double-float tests/test-grad0 tests/test-opt tests/test-quantize-fns tests/test-quantize-perf tests/test-sampling tests/test-tokenizer-0 - -default: $(BUILD_TARGETS) - -ifndef UNAME_S -UNAME_S := $(shell uname -s) -endif - -ifndef UNAME_P -UNAME_P := $(shell uname -p) -endif - -ifndef UNAME_M -UNAME_M := $(shell uname -m) -endif - -CCV := $(shell $(CC) --version | head -n 1) -CXXV := $(shell $(CXX) --version | head -n 1) - -# Mac OS + Arm can report x86_64 -# ref: https://github.com/ggerganov/whisper.cpp/issues/66#issuecomment-1282546789 -ifeq ($(UNAME_S),Darwin) - ifneq ($(UNAME_P),arm) - SYSCTL_M := $(shell sysctl -n hw.optional.arm64 2>/dev/null) - ifeq ($(SYSCTL_M),1) - # UNAME_P := arm - # UNAME_M := arm64 - warn := $(warning Your arch is announced as x86_64, but it seems to actually be ARM64. Not fixing that can lead to bad performance. For more info see: https://github.com/ggerganov/whisper.cpp/issues/66\#issuecomment-1282546789) - endif - endif -endif - -# -# Compile flags -# - -# keep standard at C11 and C++11 -# -Ofast tends to produce faster code, but may not be available for some compilers. -ifdef LLAMA_FAST -OPT = -Ofast -else -OPT = -O3 -endif -CFLAGS = -I. $(OPT) -std=c11 -fPIC -CXXFLAGS = -I. -I./examples $(OPT) -std=c++11 -fPIC -LDFLAGS = - -ifdef LLAMA_DEBUG - CFLAGS += -O0 -g - CXXFLAGS += -O0 -g - LDFLAGS += -g -else - CFLAGS += -DNDEBUG - CXXFLAGS += -DNDEBUG -endif - -ifdef LLAMA_SERVER_VERBOSE - CXXFLAGS += -DSERVER_VERBOSE=$(LLAMA_SERVER_VERBOSE) -endif - -# warnings -CFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wdouble-promotion -Wshadow -Wstrict-prototypes -Wpointer-arith \ - -Wmissing-prototypes -CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-multichar - -# OS specific -# TODO: support Windows -ifeq ($(UNAME_S),Linux) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif -ifeq ($(UNAME_S),Darwin) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif -ifeq ($(UNAME_S),FreeBSD) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif -ifeq ($(UNAME_S),NetBSD) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif -ifeq ($(UNAME_S),OpenBSD) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif -ifeq ($(UNAME_S),Haiku) - CFLAGS += -pthread - CXXFLAGS += -pthread -endif - -# detect Windows -ifneq ($(findstring _NT,$(UNAME_S)),) - _WIN32 := 1 -endif - -# library name prefix -ifneq ($(_WIN32),1) - LIB_PRE := lib -endif - -# Dynamic Shared Object extension -ifneq ($(_WIN32),1) - DSO_EXT := .so -else - DSO_EXT := .dll -endif - -# Windows Sockets 2 (Winsock) for network-capable apps -ifeq ($(_WIN32),1) - LWINSOCK2 := -lws2_32 -endif - -ifdef LLAMA_GPROF - CFLAGS += -pg - CXXFLAGS += -pg -endif -ifdef LLAMA_PERF - CFLAGS += -DGGML_PERF - CXXFLAGS += -DGGML_PERF -endif - -# Architecture specific -# TODO: probably these flags need to be tweaked on some architectures -# feel free to update the Makefile for your architecture and send a pull request or issue -ifeq ($(UNAME_M),$(filter $(UNAME_M),x86_64 i686 amd64)) - # Use all CPU extensions that are available: - CFLAGS += -march=native -mtune=native - CXXFLAGS += -march=native -mtune=native - - # Usage AVX-only - #CFLAGS += -mfma -mf16c -mavx - #CXXFLAGS += -mfma -mf16c -mavx - - # Usage SSSE3-only (Not is SSE3!) - #CFLAGS += -mssse3 - #CXXFLAGS += -mssse3 -endif - -ifneq ($(filter ppc64%,$(UNAME_M)),) - POWER9_M := $(shell grep "POWER9" /proc/cpuinfo) - ifneq (,$(findstring POWER9,$(POWER9_M))) - CFLAGS += -mcpu=power9 - CXXFLAGS += -mcpu=power9 - endif - # Require c++23's std::byteswap for big-endian support. - ifeq ($(UNAME_M),ppc64) - CXXFLAGS += -std=c++23 -DGGML_BIG_ENDIAN - endif -endif - -ifndef LLAMA_NO_K_QUANTS - CFLAGS += -DGGML_USE_K_QUANTS - CXXFLAGS += -DGGML_USE_K_QUANTS - OBJS += k_quants.o -ifdef LLAMA_QKK_64 - CFLAGS += -DGGML_QKK_64 - CXXFLAGS += -DGGML_QKK_64 -endif -endif - -ifndef LLAMA_NO_ACCELERATE - # Mac M1 - include Accelerate framework. - # `-framework Accelerate` works on Mac Intel as well, with negliable performance boost (as of the predict time). - ifeq ($(UNAME_S),Darwin) - CFLAGS += -DGGML_USE_ACCELERATE - LDFLAGS += -framework Accelerate - endif -endif # LLAMA_NO_ACCELERATE - -ifdef LLAMA_MPI - CFLAGS += -DGGML_USE_MPI -Wno-cast-qual - CXXFLAGS += -DGGML_USE_MPI -Wno-cast-qual - OBJS += ggml-mpi.o -endif # LLAMA_MPI - -ifdef LLAMA_OPENBLAS - CFLAGS += -DGGML_USE_OPENBLAS $(shell pkg-config --cflags openblas) - LDFLAGS += $(shell pkg-config --libs openblas) -endif # LLAMA_OPENBLAS - -ifdef LLAMA_BLIS - CFLAGS += -DGGML_USE_OPENBLAS -I/usr/local/include/blis -I/usr/include/blis - LDFLAGS += -lblis -L/usr/local/lib -endif # LLAMA_BLIS - -ifdef LLAMA_CUBLAS - CFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include - CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include - LDFLAGS += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib - OBJS += ggml-cuda.o - NVCCFLAGS = --forward-unknown-to-host-compiler -use_fast_math -ifdef LLAMA_CUDA_NVCC - NVCC = $(LLAMA_CUDA_NVCC) -else - NVCC = nvcc -endif #LLAMA_CUDA_NVCC -ifdef CUDA_DOCKER_ARCH - NVCCFLAGS += -Wno-deprecated-gpu-targets -arch=$(CUDA_DOCKER_ARCH) -else - NVCCFLAGS += -arch=native -endif # CUDA_DOCKER_ARCH -ifdef LLAMA_CUDA_FORCE_DMMV - NVCCFLAGS += -DGGML_CUDA_FORCE_DMMV -endif # LLAMA_CUDA_FORCE_DMMV -ifdef LLAMA_CUDA_DMMV_X - NVCCFLAGS += -DGGML_CUDA_DMMV_X=$(LLAMA_CUDA_DMMV_X) -else - NVCCFLAGS += -DGGML_CUDA_DMMV_X=32 -endif # LLAMA_CUDA_DMMV_X -ifdef LLAMA_CUDA_MMV_Y - NVCCFLAGS += -DGGML_CUDA_MMV_Y=$(LLAMA_CUDA_MMV_Y) -else ifdef LLAMA_CUDA_DMMV_Y - NVCCFLAGS += -DGGML_CUDA_MMV_Y=$(LLAMA_CUDA_DMMV_Y) # for backwards compatibility -else - NVCCFLAGS += -DGGML_CUDA_MMV_Y=1 -endif # LLAMA_CUDA_MMV_Y -ifdef LLAMA_CUDA_F16 - NVCCFLAGS += -DGGML_CUDA_F16 -endif # LLAMA_CUDA_F16 -ifdef LLAMA_CUDA_DMMV_F16 - NVCCFLAGS += -DGGML_CUDA_F16 -endif # LLAMA_CUDA_DMMV_F16 -ifdef LLAMA_CUDA_KQUANTS_ITER - NVCCFLAGS += -DK_QUANTS_PER_ITERATION=$(LLAMA_CUDA_KQUANTS_ITER) -else - NVCCFLAGS += -DK_QUANTS_PER_ITERATION=2 -endif -ifdef LLAMA_CUDA_MMQ_Y - NVCCFLAGS += -DGGML_CUDA_MMQ_Y=$(LLAMA_CUDA_MMQ_Y) -else - NVCCFLAGS += -DGGML_CUDA_MMQ_Y=64 -endif # LLAMA_CUDA_MMQ_Y -#ifdef LLAMA_CUDA_CUBLAS -# NVCCFLAGS += -DGGML_CUDA_CUBLAS -#endif # LLAMA_CUDA_CUBLAS -ifdef LLAMA_CUDA_CCBIN - NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN) -endif -ggml-cuda.o: ggml-cuda.cu ggml-cuda.h - $(NVCC) $(NVCCFLAGS) $(subst -Ofast,-O3,$(CXXFLAGS)) -Wno-pedantic -c $< -o $@ -endif # LLAMA_CUBLAS - -ifdef LLAMA_CLBLAST - - CFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags clblast OpenCL) - CXXFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags clblast OpenCL) - - # Mac provides OpenCL as a framework - ifeq ($(UNAME_S),Darwin) - LDFLAGS += -lclblast -framework OpenCL - else - LDFLAGS += $(shell pkg-config --libs clblast OpenCL) - endif - OBJS += ggml-opencl.o - -ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h - $(CXX) $(CXXFLAGS) -c $< -o $@ -endif # LLAMA_CLBLAST - -ifdef LLAMA_METAL - CFLAGS += -DGGML_USE_METAL -DGGML_METAL_NDEBUG - CXXFLAGS += -DGGML_USE_METAL - LDFLAGS += -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders - OBJS += ggml-metal.o -endif # LLAMA_METAL - -ifneq ($(filter aarch64%,$(UNAME_M)),) - # Apple M1, M2, etc. - # Raspberry Pi 3, 4, Zero 2 (64-bit) - CFLAGS += -mcpu=native - CXXFLAGS += -mcpu=native -endif - -ifneq ($(filter armv6%,$(UNAME_M)),) - # Raspberry Pi 1, Zero - CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -endif - -ifneq ($(filter armv7%,$(UNAME_M)),) - # Raspberry Pi 2 - CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations -endif - -ifneq ($(filter armv8%,$(UNAME_M)),) - # Raspberry Pi 3, 4, Zero 2 (32-bit) - CFLAGS += -mfp16-format=ieee -mno-unaligned-access -endif - -ifdef LLAMA_METAL -ggml-metal.o: ggml-metal.m ggml-metal.h - $(CC) $(CFLAGS) -c $< -o $@ -endif # LLAMA_METAL - -ifdef LLAMA_MPI -ggml-mpi.o: ggml-mpi.c ggml-mpi.h - $(CC) $(CFLAGS) -c $< -o $@ -endif # LLAMA_MPI - -ifdef LLAMA_NO_K_QUANTS -k_quants.o: k_quants.c k_quants.h - $(CC) $(CFLAGS) -c $< -o $@ -endif # LLAMA_NO_K_QUANTS - -# -# Print build information -# - -$(info I llama.cpp build info: ) -$(info I UNAME_S: $(UNAME_S)) -$(info I UNAME_P: $(UNAME_P)) -$(info I UNAME_M: $(UNAME_M)) -$(info I CFLAGS: $(CFLAGS)) -$(info I CXXFLAGS: $(CXXFLAGS)) -$(info I LDFLAGS: $(LDFLAGS)) -$(info I CC: $(CCV)) -$(info I CXX: $(CXXV)) -$(info ) - -# -# Build library -# - -ggml.o: ggml.c ggml.h ggml-cuda.h - $(CC) $(CFLAGS) -c $< -o $@ - -ggml-alloc.o: ggml-alloc.c ggml.h ggml-alloc.h - $(CC) $(CFLAGS) -c $< -o $@ - -OBJS += ggml-alloc.o - -llama.o: llama.cpp ggml.h ggml-alloc.h ggml-cuda.h ggml-metal.h llama.h llama-util.h - $(CXX) $(CXXFLAGS) -c $< -o $@ - -common.o: examples/common.cpp examples/common.h - $(CXX) $(CXXFLAGS) -c $< -o $@ - -grammar-parser.o: examples/grammar-parser.cpp examples/grammar-parser.h - $(CXX) $(CXXFLAGS) -c $< -o $@ - -libllama.so: llama.o ggml.o $(OBJS) - $(CXX) $(CXXFLAGS) -shared -fPIC -o $@ $^ $(LDFLAGS) - -clean: - rm -vf *.o *.so *.dll main quantize quantize-stats perplexity embedding benchmark-matmult save-load-state server simple vdot train-text-from-scratch embd-input-test build-info.h $(TEST_TARGETS) - -# -# Examples -# - -main: examples/main/main.cpp build-info.h ggml.o llama.o common.o grammar-parser.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - @echo - @echo '==== Run ./main -h for help. ====' - @echo - -simple: examples/simple/simple.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -quantize: examples/quantize/quantize.cpp build-info.h ggml.o llama.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -quantize-stats: examples/quantize-stats/quantize-stats.cpp build-info.h ggml.o llama.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -perplexity: examples/perplexity/perplexity.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -embedding: examples/embedding/embedding.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -save-load-state: examples/save-load-state/save-load-state.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) $(LWINSOCK2) - -$(LIB_PRE)embdinput$(DSO_EXT): examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) --shared $(CXXFLAGS) $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) - - -embd-input-test: $(LIB_PRE)embdinput$(DSO_EXT) examples/embd-input/embd-input-test.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %$(DSO_EXT),$(filter-out %.h,$(filter-out %.hpp,$^))) -o $@ $(LDFLAGS) -L. -lembdinput - -train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp build-info.h ggml.o llama.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - -build-info.h: $(wildcard .git/index) scripts/build-info.sh - @sh scripts/build-info.sh > $@.tmp - @if ! cmp -s $@.tmp $@; then \ - mv $@.tmp $@; \ - else \ - rm $@.tmp; \ - fi - -# -# Tests -# - -tests: $(TEST_TARGETS) - -benchmark-matmult: examples/benchmark/benchmark-matmult.cpp build-info.h ggml.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) - ./$@ - -vdot: pocs/vdot/vdot.cpp ggml.o $(OBJS) - $(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS) - -tests/test-double-float: tests/test-double-float.c build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-grad0: tests/test-grad0.c build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-opt: tests/test-opt.c build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-quantize-fns: tests/test-quantize-fns.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-quantize-perf: tests/test-quantize-perf.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-sampling: tests/test-sampling.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) - -tests/test-tokenizer-0: tests/test-tokenizer-0.cpp build-info.h ggml.o llama.o common.o $(OBJS) - $(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS) diff --git a/llama.cpp/Package.swift b/llama.cpp/Package.swift deleted file mode 100644 index 73d027c..0000000 --- a/llama.cpp/Package.swift +++ /dev/null @@ -1,24 +0,0 @@ -// swift-tools-version:5.3 - -import PackageDescription - -let package = Package( - name: "llama", - products: [ - .library(name: "llama", targets: ["llama"]), - ], - targets: [ - .target( - name: "llama", - path: ".", - exclude: ["ggml-metal.metal"], - sources: ["ggml.c", "llama.cpp"], - publicHeadersPath: "spm-headers", - cSettings: [.unsafeFlags(["-Wno-shorten-64-to-32"]), .define("GGML_USE_ACCELERATE")], - linkerSettings: [ - .linkedFramework("Accelerate") - ] - ), - ], - cxxLanguageStandard: .cxx11 -) diff --git a/llama.cpp/README.md b/llama.cpp/README.md deleted file mode 100644 index b231d24..0000000 --- a/llama.cpp/README.md +++ /dev/null @@ -1,866 +0,0 @@ -# llama.cpp - -![llama](https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png) - -[![Actions Status](https://github.com/ggerganov/llama.cpp/workflows/CI/badge.svg)](https://github.com/ggerganov/llama.cpp/actions) -[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT) - -[Roadmap](https://github.com/users/ggerganov/projects/7) / [Manifesto](https://github.com/ggerganov/llama.cpp/discussions/205) / [ggml](https://github.com/ggerganov/ggml) - -Inference of [LLaMA](https://arxiv.org/abs/2302.13971) model in pure C/C++ - -**Hot topics:** - -- Simple web chat example: https://github.com/ggerganov/llama.cpp/pull/1998 -- k-quants now support super-block size of 64: https://github.com/ggerganov/llama.cpp/pull/2001 -- New roadmap: https://github.com/users/ggerganov/projects/7 -- Azure CI brainstorming: https://github.com/ggerganov/llama.cpp/discussions/1985 -- p1 : LLM-based code completion engine at the edge : https://github.com/ggml-org/p1/discussions/1 - -
- Table of Contents -
    -
  1. - Description -
    2. -
  2. - Usage - -
    3. -
  3. Contributing
    4. -
  4. Coding guidelines
    5. -
  5. Docs
    6. -
-
- -## Description - -The main goal of `llama.cpp` is to run the LLaMA model using 4-bit integer quantization on a MacBook - -- Plain C/C++ implementation without dependencies -- Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks -- AVX, AVX2 and AVX512 support for x86 architectures -- Mixed F16 / F32 precision -- 4-bit, 5-bit and 8-bit integer quantization support -- Supports OpenBLAS/Apple BLAS/ARM Performance Lib/ATLAS/BLIS/Intel MKL/NVHPC/ACML/SCSL/SGIMATH and [more](https://cmake.org/cmake/help/latest/module/FindBLAS.html#blas-lapack-vendors) in BLAS -- cuBLAS and CLBlast support - -The original implementation of `llama.cpp` was [hacked in an evening](https://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022). -Since then, the project has improved significantly thanks to many contributions. This project is for educational purposes and serves -as the main playground for developing new features for the [ggml](https://github.com/ggerganov/ggml) library. - -**Supported platforms:** - -- [X] Mac OS -- [X] Linux -- [X] Windows (via CMake) -- [X] Docker - -**Supported models:** - -- [X] LLaMA 🦙 -- [x] LLaMA 2 🦙🦙 -- [X] [Alpaca](https://github.com/ggerganov/llama.cpp#instruction-mode-with-alpaca) -- [X] [GPT4All](https://github.com/ggerganov/llama.cpp#using-gpt4all) -- [X] [Chinese LLaMA / Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca) -- [X] [Vigogne (French)](https://github.com/bofenghuang/vigogne) -- [X] [Vicuna](https://github.com/ggerganov/llama.cpp/discussions/643#discussioncomment-5533894) -- [X] [Koala](https://bair.berkeley.edu/blog/2023/04/03/koala/) -- [X] [OpenBuddy 🐶 (Multilingual)](https://github.com/OpenBuddy/OpenBuddy) -- [X] [Pygmalion 7B / Metharme 7B](#using-pygmalion-7b--metharme-7b) -- [X] [WizardLM](https://github.com/nlpxucan/WizardLM) -- [X] [Baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) and its derivations (such as [baichuan-7b-sft](https://huggingface.co/hiyouga/baichuan-7b-sft)) - -**Bindings:** - -- Python: [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python) -- Go: [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp) -- Node.js: [hlhr202/llama-node](https://github.com/hlhr202/llama-node) -- Ruby: [yoshoku/llama_cpp.rb](https://github.com/yoshoku/llama_cpp.rb) -- C#/.NET: [SciSharp/LLamaSharp](https://github.com/SciSharp/LLamaSharp) -- Scala 3: [donderom/llm4s](https://github.com/donderom/llm4s) - -**UI:** - -- [nat/openplayground](https://github.com/nat/openplayground) -- [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) - ---- - -Here is a typical run using LLaMA-7B: - -```java -make -j && ./main -m ./models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 -I llama.cpp build info: -I UNAME_S: Darwin -I UNAME_P: arm -I UNAME_M: arm64 -I CFLAGS: -I. -O3 -DNDEBUG -std=c11 -fPIC -pthread -DGGML_USE_ACCELERATE -I CXXFLAGS: -I. -I./examples -O3 -DNDEBUG -std=c++11 -fPIC -pthread -I LDFLAGS: -framework Accelerate -I CC: Apple clang version 14.0.0 (clang-1400.0.29.202) -I CXX: Apple clang version 14.0.0 (clang-1400.0.29.202) - -make: Nothing to be done for `default'. -main: seed = 1678486056 -llama_model_load: loading model from './models/7B/ggml-model-q4_0.bin' - please wait ... -llama_model_load: n_vocab = 32000 -llama_model_load: n_ctx = 512 -llama_model_load: n_embd = 4096 -llama_model_load: n_mult = 256 -llama_model_load: n_head = 32 -llama_model_load: n_layer = 32 -llama_model_load: n_rot = 128 -llama_model_load: f16 = 2 -llama_model_load: n_ff = 11008 -llama_model_load: ggml ctx size = 4529.34 MB -llama_model_load: memory_size = 512.00 MB, n_mem = 16384 -llama_model_load: .................................... done -llama_model_load: model size = 4017.27 MB / num tensors = 291 - -main: prompt: 'Building a website can be done in 10 simple steps:' -main: number of tokens in prompt = 15 - 1 -> '' - 8893 -> 'Build' - 292 -> 'ing' - 263 -> ' a' - 4700 -> ' website' - 508 -> ' can' - 367 -> ' be' - 2309 -> ' done' - 297 -> ' in' - 29871 -> ' ' - 29896 -> '1' - 29900 -> '0' - 2560 -> ' simple' - 6576 -> ' steps' - 29901 -> ':' - -sampling parameters: temp = 0.800000, top_k = 40, top_p = 0.950000 - - -Building a website can be done in 10 simple steps: -1) Select a domain name and web hosting plan -2) Complete a sitemap -3) List your products -4) Write product descriptions -5) Create a user account -6) Build the template -7) Start building the website -8) Advertise the website -9) Provide email support -10) Submit the website to search engines -A website is a collection of web pages that are formatted with HTML. HTML is the code that defines what the website looks like and how it behaves. -The HTML code is formatted into a template or a format. Once this is done, it is displayed on the user's browser. -The web pages are stored in a web server. The web server is also called a host. When the website is accessed, it is retrieved from the server and displayed on the user's computer. -A website is known as a website when it is hosted. This means that it is displayed on a host. The host is usually a web server. -A website can be displayed on different browsers. The browsers are basically the software that renders the website on the user's screen. -A website can also be viewed on different devices such as desktops, tablets and smartphones. -Hence, to have a website displayed on a browser, the website must be hosted. -A domain name is an address of a website. It is the name of the website. -The website is known as a website when it is hosted. This means that it is displayed on a host. The host is usually a web server. -A website can be displayed on different browsers. The browsers are basically the software that renders the website on the user’s screen. -A website can also be viewed on different devices such as desktops, tablets and smartphones. Hence, to have a website displayed on a browser, the website must be hosted. -A domain name is an address of a website. It is the name of the website. -A website is an address of a website. It is a collection of web pages that are formatted with HTML. HTML is the code that defines what the website looks like and how it behaves. -The HTML code is formatted into a template or a format. Once this is done, it is displayed on the user’s browser. -A website is known as a website when it is hosted - -main: mem per token = 14434244 bytes -main: load time = 1332.48 ms -main: sample time = 1081.40 ms -main: predict time = 31378.77 ms / 61.41 ms per token -main: total time = 34036.74 ms -``` - -And here is another demo of running both LLaMA-7B and [whisper.cpp](https://github.com/ggerganov/whisper.cpp) on a single M1 Pro MacBook: - -https://user-images.githubusercontent.com/1991296/224442907-7693d4be-acaa-4e01-8b4f-add84093ffff.mp4 - -## Usage - -Here are the steps for the LLaMA-7B model. - -### Get the Code - -```bash -git clone https://github.com/ggerganov/llama.cpp -cd llama.cpp -``` - -### Build - -In order to build llama.cpp you have three different options. - -- Using `make`: - - On Linux or MacOS: - - ```bash - make - ``` - - - On Windows: - - 1. Download the latest fortran version of [w64devkit](https://github.com/skeeto/w64devkit/releases). - 2. Extract `w64devkit` on your pc. - 3. Run `w64devkit.exe`. - 4. Use the `cd` command to reach the `llama.cpp` folder. - 5. From here you can run: - ```bash - make - ``` - -- Using `CMake`: - - ```bash - mkdir build - cd build - cmake .. - cmake --build . --config Release - ``` - -- Using `Zig`: - - ```bash - zig build -Doptimize=ReleaseFast - ``` - -- Using `gmake` (FreeBSD): - - 1. Install and activate [DRM in FreeBSD](https://wiki.freebsd.org/Graphics) - 2. Add your user to **video** group - 3. Install compilation dependencies. - - ```bash - sudo pkg install gmake automake autoconf pkgconf llvm15 clinfo clover \ - opencl clblast openblas - - gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j4 - ``` - - **Notes:** With this packages you can build llama.cpp with OPENBLAS and - CLBLAST support for use OpenCL GPU acceleration in FreeBSD. Please read - the instructions for use and activate this options in this document below. - -### Metal Build - -Using Metal allows the computation to be executed on the GPU for Apple devices: - -- Using `make`: - - ```bash - LLAMA_METAL=1 make - ``` - -- Using `CMake`: - - ```bash - mkdir build-metal - cd build-metal - cmake -DLLAMA_METAL=ON .. - cmake --build . --config Release - ``` - -When built with Metal support, you can enable GPU inference with the `--gpu-layers|-ngl` command-line argument. -Any value larger than 0 will offload the computation to the GPU. For example: - -```bash -./main -m ./models/7B/ggml-model-q4_0.bin -n 128 -ngl 1 -``` - -### MPI Build - -MPI lets you distribute the computation over a cluster of machines. Because of the serial nature of LLM prediction, this won't yield any end-to-end speed-ups, but it will let you run larger models than would otherwise fit into RAM on a single machine. - -First you will need MPI libraries installed on your system. The two most popular (only?) options are [MPICH](https://www.mpich.org) and [OpenMPI](https://www.open-mpi.org). Either can be installed with a package manager (`apt`, Homebrew, MacPorts, etc). - -Next you will need to build the project with `LLAMA_MPI` set to true on all machines; if you're building with `make`, you will also need to specify an MPI-capable compiler (when building with CMake, this is configured automatically): - -- Using `make`: - - ```bash - make CC=mpicc CXX=mpicxx LLAMA_MPI=1 - ``` - -- Using `CMake`: - - ```bash - cmake -S . -B build -DLLAMA_MPI=ON - ``` - -Once the programs are built, download/convert the weights on all of the machines in your cluster. The paths to the weights and programs should be identical on all machines. - -Next, ensure password-less SSH access to each machine from the primary host, and create a `hostfile` with a list of the hostnames and their relative "weights" (slots). If you want to use localhost for computation, use its local subnet IP address rather than the loopback address or "localhost". - -Here is an example hostfile: - -``` -192.168.0.1:2 -malvolio.local:1 -``` - -The above will distribute the computation across 2 processes on the first host and 1 process on the second host. Each process will use roughly an equal amount of RAM. Try to keep these numbers small, as inter-process (intra-host) communication is expensive. - -Finally, you're ready to run a computation using `mpirun`: - -```bash -mpirun -hostfile hostfile -n 3 ./main -m ./models/7B/ggml-model-q4_0.bin -n 128 -``` - -### BLAS Build - -Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). BLAS doesn't affect the normal generation performance. There are currently three different implementations of it: - -- #### Accelerate Framework: - - This is only available on Mac PCs and it's enabled by default. You can just build using the normal instructions. - -- #### OpenBLAS: - - This provides BLAS acceleration using only the CPU. Make sure to have OpenBLAS installed on your machine. - - - Using `make`: - - On Linux: - ```bash - make LLAMA_OPENBLAS=1 - ``` - - - On Windows: - - 1. Download the latest fortran version of [w64devkit](https://github.com/skeeto/w64devkit/releases). - 2. Download the latest version of [OpenBLAS for Windows](https://github.com/xianyi/OpenBLAS/releases). - 3. Extract `w64devkit` on your pc. - 4. From the OpenBLAS zip that you just downloaded copy `libopenblas.a`, located inside the `lib` folder, inside `w64devkit\x86_64-w64-mingw32\lib`. - 5. From the same OpenBLAS zip copy the content of the `include` folder inside `w64devkit\x86_64-w64-mingw32\include`. - 6. Run `w64devkit.exe`. - 7. Use the `cd` command to reach the `llama.cpp` folder. - 8. From here you can run: - - ```bash - make LLAMA_OPENBLAS=1 - ``` - - - Using `CMake` on Linux: - - ```bash - mkdir build - cd build - cmake .. -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS - cmake --build . --config Release - ``` - -- #### BLIS - - Check [BLIS.md](docs/BLIS.md) for more information. - -- #### Intel MKL - - By default, `LLAMA_BLAS_VENDOR` is set to `Generic`, so if you already sourced intel environment script and assign `-DLLAMA_BLAS=ON` in cmake, the mkl version of Blas will automatically been selected. You may also specify it by: - - ```bash - mkdir build - cd build - cmake .. -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx - cmake --build . --config Release - ``` - -- #### cuBLAS - - This provides BLAS acceleration using the CUDA cores of your Nvidia GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager or from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads). - - Using `make`: - ```bash - make LLAMA_CUBLAS=1 - ``` - - Using `CMake`: - - ```bash - mkdir build - cd build - cmake .. -DLLAMA_CUBLAS=ON - cmake --build . --config Release - ``` - - The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) can be used to specify which GPU(s) will be used. The following compilation options are also available to tweak performance: - - - | Option | Legal values | Default | Description | - |-------------------------|------------------------|---------|-------------| - | LLAMA_CUDA_MMQ_Y | Positive integer >= 32 | 64 | Tile size in y direction when using the custom CUDA kernels for prompt processing. Higher values can be faster depending on the amount of shared memory available. Power of 2 heavily recommended. | - | LLAMA_CUDA_FORCE_DMMV | Boolean | false | Force the use of dequantization + matrix vector multiplication kernels instead of using kernels that do matrix vector multiplication on quantized data. By default the decision is made based on compute capability (MMVQ for 6.1/Pascal/GTX 1000 or higher). Does not affect k-quants. | - | LLAMA_CUDA_DMMV_X | Positive integer >= 32 | 32 | Number of values in x direction processed by the CUDA dequantization + matrix vector multiplication kernel per iteration. Increasing this value can improve performance on fast GPUs. Power of 2 heavily recommended. Does not affect k-quants. | - | LLAMA_CUDA_MMV_Y | Positive integer | 1 | Block size in y direction for the CUDA mul mat vec kernels. Increasing this value can improve performance on fast GPUs. Power of 2 recommended. Does not affect k-quants. | - | LLAMA_CUDA_F16 | Boolean | false | If enabled, use half-precision floating point arithmetic for the CUDA dequantization + mul mat vec kernels and for the q4_1 and q5_1 matrix matrix multiplication kernels. Can improve performance on relatively recent GPUs. | - | LLAMA_CUDA_KQUANTS_ITER | 1 or 2 | 2 | Number of values processed per iteration and per CUDA thread for Q2_K and Q6_K quantization formats. Setting this value to 1 can improve performance for slow GPUs. | - -- #### CLBlast - - OpenCL acceleration is provided by the matrix multiplication kernels from the [CLBlast](https://github.com/CNugteren/CLBlast) project and custom kernels for ggml that can generate tokens on the GPU. - - You will need the [OpenCL SDK](https://github.com/KhronosGroup/OpenCL-SDK). - - For Ubuntu or Debian, the packages `opencl-headers`, `ocl-icd` may be needed. - - -
- Installing the OpenCL SDK from source - - ```sh - git clone --recurse-submodules https://github.com/KhronosGroup/OpenCL-SDK.git - mkdir OpenCL-SDK/build - cd OpenCL-SDK/build - cmake .. -DBUILD_DOCS=OFF \ - -DBUILD_EXAMPLES=OFF \ - -DBUILD_TESTING=OFF \ - -DOPENCL_SDK_BUILD_SAMPLES=OFF \ - -DOPENCL_SDK_TEST_SAMPLES=OFF - cmake --build . --config Release - cmake --install . --prefix /some/path - ``` -
- - Installing CLBlast: it may be found in your operating system's packages. - - -
- If not, then installing from source: - - ```sh - git clone https://github.com/CNugteren/CLBlast.git - mkdir CLBlast/build - cd CLBlast/build - cmake .. -DBUILD_SHARED_LIBS=OFF -DTUNERS=OFF - cmake --build . --config Release - cmake --install . --prefix /some/path - ``` - - Where `/some/path` is where the built library will be installed (default is `/usr/local`). -
- - Building: - - - Build with make: - ```sh - make LLAMA_CLBLAST=1 - ``` - - CMake: - ```sh - mkdir build - cd build - cmake .. -DLLAMA_CLBLAST=ON -DCLBlast_dir=/some/path - cmake --build . --config Release - ``` - - Running: - - The CLBlast build supports `--gpu-layers|-ngl` like the CUDA version does. - - To select the correct platform (driver) and device (GPU), you can use the environment variables `GGML_OPENCL_PLATFORM` and `GGML_OPENCL_DEVICE`. - The selection can be a number (starting from 0) or a text string to search: - - ```sh - GGML_OPENCL_PLATFORM=1 ./main ... - GGML_OPENCL_DEVICE=2 ./main ... - GGML_OPENCL_PLATFORM=Intel ./main ... - GGML_OPENCL_PLATFORM=AMD GGML_OPENCL_DEVICE=1 ./main ... - ``` - - The default behavior is to find the first GPU device, but when it is an integrated GPU on a laptop, for instance, the selectors are useful. - Using the variables it is possible to select a CPU-based driver as well, if so desired. - - You can get a list of platforms and devices from the `clinfo -l` command, etc. - -### Prepare Data & Run - -```bash -# obtain the original LLaMA model weights and place them in ./models -ls ./models -65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model - -# install Python dependencies -python3 -m pip install -r requirements.txt - -# convert the 7B model to ggml FP16 format -python3 convert.py models/7B/ - -# quantize the model to 4-bits (using q4_0 method) -./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin q4_0 - -# run the inference -./main -m ./models/7B/ggml-model-q4_0.bin -n 128 -``` - -When running the larger models, make sure you have enough disk space to store all the intermediate files. - -### Memory/Disk Requirements - -As the models are currently fully loaded into memory, you will need adequate disk space to save them and sufficient RAM to load them. At the moment, memory and disk requirements are the same. - -| Model | Original size | Quantized size (4-bit) | -|------:|--------------:|-----------------------:| -| 7B | 13 GB | 3.9 GB | -| 13B | 24 GB | 7.8 GB | -| 30B | 60 GB | 19.5 GB | -| 65B | 120 GB | 38.5 GB | - -### Quantization - -Several quantization methods are supported. They differ in the resulting model disk size and inference speed. - -| Model | Measure | F16 | Q4_0 | Q4_1 | Q5_0 | Q5_1 | Q8_0 | -|------:|--------------|-------:|-------:|-------:|-------:|-------:|-------:| -| 7B | perplexity | 5.9066 | 6.1565 | 6.0912 | 5.9862 | 5.9481 | 5.9070 | -| 7B | file size | 13.0G | 3.5G | 3.9G | 4.3G | 4.7G | 6.7G | -| 7B | ms/tok @ 4th | 127 | 55 | 54 | 76 | 83 | 72 | -| 7B | ms/tok @ 8th | 122 | 43 | 45 | 52 | 56 | 67 | -| 7B | bits/weight | 16.0 | 4.5 | 5.0 | 5.5 | 6.0 | 8.5 | -| 13B | perplexity | 5.2543 | 5.3860 | 5.3608 | 5.2856 | 5.2706 | 5.2548 | -| 13B | file size | 25.0G | 6.8G | 7.6G | 8.3G | 9.1G | 13G | -| 13B | ms/tok @ 4th | - | 103 | 105 | 148 | 160 | 131 | -| 13B | ms/tok @ 8th | - | 73 | 82 | 98 | 105 | 128 | -| 13B | bits/weight | 16.0 | 4.5 | 5.0 | 5.5 | 6.0 | 8.5 | - -### Perplexity (measuring model quality) - -You can use the `perplexity` example to measure perplexity over a given prompt (lower perplexity is better). -For more information, see [https://huggingface.co/docs/transformers/perplexity](https://huggingface.co/docs/transformers/perplexity). - -The perplexity measurements in table above are done against the `wikitext2` test dataset (https://paperswithcode.com/dataset/wikitext-2), with context length of 512. -The time per token is measured on a MacBook M1 Pro 32GB RAM using 4 and 8 threads. - -### Interactive mode - -If you want a more ChatGPT-like experience, you can run in interactive mode by passing `-i` as a parameter. -In this mode, you can always interrupt generation by pressing Ctrl+C and entering one or more lines of text, which will be converted into tokens and appended to the current context. You can also specify a *reverse prompt* with the parameter `-r "reverse prompt string"`. This will result in user input being prompted whenever the exact tokens of the reverse prompt string are encountered in the generation. A typical use is to use a prompt that makes LLaMa emulate a chat between multiple users, say Alice and Bob, and pass `-r "Alice:"`. - -Here is an example of a few-shot interaction, invoked with the command - -```bash -# default arguments using a 7B model -./examples/chat.sh - -# advanced chat with a 13B model -./examples/chat-13B.sh - -# custom arguments using a 13B model -./main -m ./models/13B/ggml-model-q4_0.bin -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt -``` - -Note the use of `--color` to distinguish between user input and generated text. Other parameters are explained in more detail in the [README](examples/main/README.md) for the `main` example program. - -![image](https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png) - -### Persistent Interaction - -The prompt, user inputs, and model generations can be saved and resumed across calls to `./main` by leveraging `--prompt-cache` and `--prompt-cache-all`. The `./examples/chat-persistent.sh` script demonstrates this with support for long-running, resumable chat sessions. To use this example, you must provide a file to cache the initial chat prompt and a directory to save the chat session, and may optionally provide the same variables as `chat-13B.sh`. The same prompt cache can be reused for new chat sessions. Note that both prompt cache and chat directory are tied to the initial prompt (`PROMPT_TEMPLATE`) and the model file. - -```bash -# Start a new chat -PROMPT_CACHE_FILE=chat.prompt.bin CHAT_SAVE_DIR=./chat/default ./examples/chat-persistent.sh - -# Resume that chat -PROMPT_CACHE_FILE=chat.prompt.bin CHAT_SAVE_DIR=./chat/default ./examples/chat-persistent.sh - -# Start a different chat with the same prompt/model -PROMPT_CACHE_FILE=chat.prompt.bin CHAT_SAVE_DIR=./chat/another ./examples/chat-persistent.sh - -# Different prompt cache for different prompt/model -PROMPT_TEMPLATE=./prompts/chat-with-bob.txt PROMPT_CACHE_FILE=bob.prompt.bin \ - CHAT_SAVE_DIR=./chat/bob ./examples/chat-persistent.sh -``` - -### Instruction mode with Alpaca - -1. First, download the `ggml` Alpaca model into the `./models` folder -2. Run the `main` tool like this: - -``` -./examples/alpaca.sh -``` - -Sample run: - -``` -== Running in interactive mode. == - - Press Ctrl+C to interject at any time. - - Press Return to return control to LLaMa. - - If you want to submit another line, end your input in '\'. - - Below is an instruction that describes a task. Write a response that appropriately completes the request. - -> How many letters are there in the English alphabet? -There 26 letters in the English Alphabet -> What is the most common way of transportation in Amsterdam? -The majority (54%) are using public transit. This includes buses, trams and metros with over 100 lines throughout the city which make it very accessible for tourists to navigate around town as well as locals who commute by tram or metro on a daily basis -> List 5 words that start with "ca". -cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach. -> -``` - -### Using [OpenLLaMA](https://github.com/openlm-research/open_llama) - -OpenLLaMA is an openly licensed reproduction of Meta's original LLaMA model. It uses the same architecture and is a drop-in replacement for the original LLaMA weights. - -- Download the [3B](https://huggingface.co/openlm-research/open_llama_3b), [7B](https://huggingface.co/openlm-research/open_llama_7b), or [13B](https://huggingface.co/openlm-research/open_llama_13b) model from Hugging Face. -- Convert the model to ggml FP16 format using `python convert.py ` - -### Using [GPT4All](https://github.com/nomic-ai/gpt4all) - -- Obtain the `tokenizer.model` file from LLaMA model and put it to `models` -- Obtain the `added_tokens.json` file from Alpaca model and put it to `models` -- Obtain the `gpt4all-lora-quantized.bin` file from GPT4All model and put it to `models/gpt4all-7B` -- It is distributed in the old `ggml` format which is now obsoleted -- You have to convert it to the new format using `convert.py`: - -```bash -python3 convert.py models/gpt4all-7B/gpt4all-lora-quantized.bin -``` - -- You can now use the newly generated `models/gpt4all-7B/ggml-model-q4_0.bin` model in exactly the same way as all other models - -- The newer GPT4All-J model is not yet supported! - -### Using Pygmalion 7B & Metharme 7B - -- Obtain the [LLaMA weights](#obtaining-the-facebook-llama-original-model-and-stanford-alpaca-model-data) -- Obtain the [Pygmalion 7B](https://huggingface.co/PygmalionAI/pygmalion-7b/) or [Metharme 7B](https://huggingface.co/PygmalionAI/metharme-7b) XOR encoded weights -- Convert the LLaMA model with [the latest HF convert script](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py) -- Merge the XOR files with the converted LLaMA weights by running the [xor_codec](https://huggingface.co/PygmalionAI/pygmalion-7b/blob/main/xor_codec.py) script -- Convert to `ggml` format using the `convert.py` script in this repo: -```bash -python3 convert.py pygmalion-7b/ --outtype q4_1 -``` -> The Pygmalion 7B & Metharme 7B weights are saved in [bfloat16](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format) precision. If you wish to convert to `ggml` without quantizating, please specify the `--outtype` as `f32` instead of `f16`. - - -### Obtaining the Facebook LLaMA original model and Stanford Alpaca model data - -- **Under no circumstances should IPFS, magnet links, or any other links to model downloads be shared anywhere in this repository, including in issues, discussions, or pull requests. They will be immediately deleted.** -- The LLaMA models are officially distributed by Facebook and will **never** be provided through this repository. -- Refer to [Facebook's LLaMA repository](https://github.com/facebookresearch/llama/pull/73/files) if you need to request access to the model data. - -### Obtaining and using the Facebook LLaMA 2 model - -- Refer to [Facebook's LLaMA download page](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) if you want to access the model data. -- Alternatively, if you want to save time and space, you can download already converted and quantized models from [TheBloke](https://huggingface.co/TheBloke), including: - - [LLaMA 2 7B base](https://huggingface.co/TheBloke/Llama-2-7B-GGML) - - [LLaMA 2 13B base](https://huggingface.co/TheBloke/Llama-2-13B-GGML) - - [LLaMA 2 70B base](https://huggingface.co/TheBloke/Llama-2-70B-GGML) - - [LLaMA 2 7B chat](https://huggingface.co/TheBloke/Llama-2-7B-chat-GGML) - - [LLaMA 2 13B chat](https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML) - - [LLaMA 2 70B chat](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGML) -- Specify `-eps 1e-5` for best generation quality -- Specify `-gqa 8` for 70B models to work - -### Verifying the model files - -Please verify the [sha256 checksums](SHA256SUMS) of all downloaded model files to confirm that you have the correct model data files before creating an issue relating to your model files. -- The following python script will verify if you have all possible latest files in your self-installed `./models` subdirectory: - -```bash -# run the verification script -./scripts/verify-checksum-models.py -``` - -- On linux or macOS it is also possible to run the following commands to verify if you have all possible latest files in your self-installed `./models` subdirectory: - - On Linux: `sha256sum --ignore-missing -c SHA256SUMS` - - on macOS: `shasum -a 256 --ignore-missing -c SHA256SUMS` - -### Seminal papers and background on the models - -If your issue is with model generation quality, then please at least scan the following links and papers to understand the limitations of LLaMA models. This is especially important when choosing an appropriate model size and appreciating both the significant and subtle differences between LLaMA models and ChatGPT: -- LLaMA: - - [Introducing LLaMA: A foundational, 65-billion-parameter large language model](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) - - [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971) -- GPT-3 - - [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165) -- GPT-3.5 / InstructGPT / ChatGPT: - - [Aligning language models to follow instructions](https://openai.com/research/instruction-following) - - [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155) - -#### How to run - -1. Download/extract: https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip?ref=salesforce-research -2. Run `./perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw` -3. Output: -``` -perplexity : calculating perplexity over 655 chunks -24.43 seconds per pass - ETA 4.45 hours -[1]4.5970,[2]5.1807,[3]6.0382,... -``` -And after 4.45 hours, you will have the final perplexity. - -### Android - -#### Building the Project using Android NDK -You can easily run `llama.cpp` on Android device with [termux](https://termux.dev/). - -First, install the essential packages for termux: -``` -pkg install clang wget git cmake -``` -Second, obtain the [Android NDK](https://developer.android.com/ndk) and then build with CMake: -``` -$ mkdir build-android -$ cd build-android -$ export NDK= -$ cmake -DCMAKE_TOOLCHAIN_FILE=$NDK/build/cmake/android.toolchain.cmake -DANDROID_ABI=arm64-v8a -DANDROID_PLATFORM=android-23 -DCMAKE_C_FLAGS=-march=armv8.4a+dotprod .. -$ make -``` -Install [termux](https://termux.dev/) on your device and run `termux-setup-storage` to get access to your SD card. -Finally, copy the `llama` binary and the model files to your device storage. Here is a demo of an interactive session running on Pixel 5 phone: - -https://user-images.githubusercontent.com/271616/225014776-1d567049-ad71-4ef2-b050-55b0b3b9274c.mp4 - -#### Building the Project using Termux (F-Droid) -Termux from F-Droid offers an alternative route to execute the project on an Android device. This method empowers you to construct the project right from within the terminal, negating the requirement for a rooted device or SD Card. - -Outlined below are the directives for installing the project using OpenBLAS and CLBlast. This combination is specifically designed to deliver peak performance on recent devices that feature a GPU. - -If you opt to utilize OpenBLAS, you'll need to install the corresponding package. -``` -apt install libopenblas -``` - -Subsequently, if you decide to incorporate CLBlast, you'll first need to install the requisite OpenCL packages: -``` -apt install ocl-icd opencl-headers opencl-clhpp clinfo -``` - -In order to compile CLBlast, you'll need to first clone the respective Git repository, which can be found at this URL: https://github.com/CNugteren/CLBlast. Alongside this, clone this repository into your home directory. Once this is done, navigate to the CLBlast folder and execute the commands detailed below: -``` -cmake . -make -cp libclblast.so* $PREFIX/lib -cp ./include/clblast.h ../llama.cpp -``` - -Following the previous steps, navigate to the LlamaCpp directory. To compile it with OpenBLAS and CLBlast, execute the command provided below: -``` -cp /data/data/com.termux/files/usr/include/openblas/cblas.h . -cp /data/data/com.termux/files/usr/include/openblas/openblas_config.h . -make LLAMA_CLBLAST=1 //(sometimes you need to run this command twice) -``` - -Upon completion of the aforementioned steps, you will have successfully compiled the project. To run it using CLBlast, a slight adjustment is required: a command must be issued to direct the operations towards your device's physical GPU, rather than the virtual one. The necessary command is detailed below: -``` -GGML_OPENCL_PLATFORM=0 -GGML_OPENCL_DEVICE=0 -export LD_LIBRARY_PATH=/vendor/lib64:$LD_LIBRARY_PATH -``` - -(Note: some Android devices, like the Zenfone 8, need the following command instead - "export LD_LIBRARY_PATH=/system/vendor/lib64:$LD_LIBRARY_PATH". Source: https://www.reddit.com/r/termux/comments/kc3ynp/opencl_working_in_termux_more_in_comments/ ) - -For easy and swift re-execution, consider documenting this final part in a .sh script file. This will enable you to rerun the process with minimal hassle. - -Place your desired model into the `~/llama.cpp/models/` directory and execute the `./main (...)` script. - -### Docker - -#### Prerequisites -* Docker must be installed and running on your system. -* Create a folder to store big models & intermediate files (ex. /llama/models) - -#### Images -We have two Docker images available for this project: - -1. `ghcr.io/ggerganov/llama.cpp:full`: This image includes both the main executable file and the tools to convert LLaMA models into ggml and convert into 4-bit quantization. -2. `ghcr.io/ggerganov/llama.cpp:light`: This image only includes the main executable file. - -#### Usage - -The easiest way to download the models, convert them to ggml and optimize them is with the --all-in-one command which includes the full docker image. - -Replace `/path/to/models` below with the actual path where you downloaded the models. - -```bash -docker run -v /path/to/models:/models ghcr.io/ggerganov/llama.cpp:full --all-in-one "/models/" 7B -``` - -On completion, you are ready to play! - -```bash -docker run -v /path/to/models:/models ghcr.io/ggerganov/llama.cpp:full --run -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 -``` - -or with a light image: - -```bash -docker run -v /path/to/models:/models ghcr.io/ggerganov/llama.cpp:light -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 -``` - -### Docker With CUDA - -Assuming one has the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia-container-toolkit) properly installed on Linux, or is using a GPU enabled cloud, `cuBLAS` should be accessible inside the container. - -#### Building Locally - -```bash -docker build -t local/llama.cpp:full-cuda -f .devops/full-cuda.Dockerfile . -docker build -t local/llama.cpp:light-cuda -f .devops/main-cuda.Dockerfile . -``` - -You may want to pass in some different `ARGS`, depending on the CUDA environment supported by your container host, as well as the GPU architecture. - -The defaults are: - -- `CUDA_VERSION` set to `11.7.1` -- `CUDA_DOCKER_ARCH` set to `all` - -The resulting images, are essentially the same as the non-CUDA images: - -1. `local/llama.cpp:full-cuda`: This image includes both the main executable file and the tools to convert LLaMA models into ggml and convert into 4-bit quantization. -2. `local/llama.cpp:light-cuda`: This image only includes the main executable file. - -#### Usage - -After building locally, Usage is similar to the non-CUDA examples, but you'll need to add the `--gpus` flag. You will also want to use the `--n-gpu-layers` flag. - -```bash -docker run --gpus all -v /path/to/models:/models local/llama.cpp:full-cuda --run -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1 -docker run --gpus all -v /path/to/models:/models local/llama.cpp:light-cuda -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 --n-gpu-layers 1 -``` - -### Contributing - -- Contributors can open PRs -- Collaborators can push to branches in the `llama.cpp` repo and merge PRs into the `master` branch -- Collaborators will be invited based on contributions -- Any help with managing issues and PRs is very appreciated! -- Make sure to read this: [Inference at the edge](https://github.com/ggerganov/llama.cpp/discussions/205) -- A bit of backstory for those who are interested: [Changelog podcast](https://changelog.com/podcast/532) - -### Coding guidelines - -- Avoid adding third-party dependencies, extra files, extra headers, etc. -- Always consider cross-compatibility with other operating systems and architectures -- Avoid fancy looking modern STL constructs, use basic `for` loops, avoid templates, keep it simple -- There are no strict rules for the code style, but try to follow the patterns in the code (indentation, spaces, etc.). Vertical alignment makes things more readable and easier to batch edit -- Clean-up any trailing whitespaces, use 4 spaces for indentation, brackets on the same line, `void * ptr`, `int & a` -- See [good first issues](https://github.com/ggerganov/llama.cpp/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) for tasks suitable for first contributions - -### Docs - -- [main](./examples/main/README.md) -- [server](./examples/server/README.md) -- [embd-input](./examples/embd-input/README.md) -- [jeopardy](./examples/jeopardy/README.md) -- [BLIS](./docs/BLIS.md) -- [Performance troubleshooting](./docs/token_generation_performance_tips.md) -- [GGML tips & tricks](https://github.com/ggerganov/llama.cpp/wiki/GGML-Tips-&-Tricks) diff --git a/llama.cpp/SHA256SUMS b/llama.cpp/SHA256SUMS deleted file mode 100644 index ca4d5a4..0000000 --- a/llama.cpp/SHA256SUMS +++ /dev/null @@ -1,40 +0,0 @@ -700df0d3013b703a806d2ae7f1bfb8e59814e3d06ae78be0c66368a50059f33d models/7B/consolidated.00.pth -666a4bb533b303bdaf89e1b6a3b6f93535d868de31d903afdc20983dc526c847 models/7B/ggml-model-f16.bin -ec2f2d1f0dfb73b72a4cbac7fa121abbe04c37ab327125a38248f930c0f09ddf models/7B/ggml-model-q4_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/7B/ggml-model-q4_1.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/7B/ggml-model-q5_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/7B/ggml-model-q5_1.bin -7e89e242ddc0dd6f060b43ca219ce8b3e8f08959a72cb3c0855df8bb04d46265 models/7B/params.json -745bf4e29a4dd6f411e72976d92b452da1b49168a4f41c951cfcc8051823cf08 models/13B/consolidated.00.pth -d5ccbcc465c71c0de439a5aeffebe8344c68a519bce70bc7f9f92654ee567085 models/13B/consolidated.01.pth -2b206e9b21fb1076f11cafc624e2af97c9e48ea09312a0962153acc20d45f808 models/13B/ggml-model-f16.bin -fad169e6f0f575402cf75945961cb4a8ecd824ba4da6be2af831f320c4348fa5 models/13B/ggml-model-q4_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/13B/ggml-model-q4_1.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/13B/ggml-model-q5_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/13B/ggml-model-q5_1.bin -4ab77bec4d4405ccb66a97b282574c89a94417e3c32e5f68f37e2876fc21322f models/13B/params.json -e23294a58552d8cdec5b7e8abb87993b97ea6eced4178ff2697c02472539d067 models/30B/consolidated.00.pth -4e077b7136c7ae2302e954860cf64930458d3076fcde9443f4d0e939e95903ff models/30B/consolidated.01.pth -24a87f01028cbd3a12de551dcedb712346c0b5cbdeff1454e0ddf2df9b675378 models/30B/consolidated.02.pth -1adfcef71420886119544949767f6a56cb6339b4d5fcde755d80fe68b49de93b models/30B/consolidated.03.pth -7e1b524061a9f4b27c22a12d6d2a5bf13b8ebbea73e99f218809351ed9cf7d37 models/30B/ggml-model-f16.bin -d2a441403944819492ec8c2002cc36fa38468149bfb4b7b4c52afc7bd9a7166d models/30B/ggml-model-q4_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/30B/ggml-model-q4_1.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/30B/ggml-model-q5_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/30B/ggml-model-q5_1.bin -2c07118ea98d69dbe7810d88520e30288fa994751b337f8fca02b171955f44cb models/30B/params.json -135c563f6b3938114458183afb01adc9a63bef3d8ff7cccc3977e5d3664ecafe models/65B/consolidated.00.pth -9a600b37b19d38c7e43809485f70d17d1dc12206c07efa83bc72bb498a568bde models/65B/consolidated.01.pth -e7babf7c5606f165a3756f527cb0fedc4f83e67ef1290391e52fb1cce5f26770 models/65B/consolidated.02.pth -73176ffb426b40482f2aa67ae1217ef79fbbd1fff5482bae5060cdc5a24ab70e models/65B/consolidated.03.pth -882e6431d0b08a8bc66261a0d3607da21cbaeafa96a24e7e59777632dbdac225 models/65B/consolidated.04.pth -a287c0dfe49081626567c7fe87f74cce5831f58e459b427b5e05567641f47b78 models/65B/consolidated.05.pth -72b4eba67a1a3b18cb67a85b70f8f1640caae9b40033ea943fb166bd80a7b36b models/65B/consolidated.06.pth -d27f5b0677d7ff129ceacd73fd461c4d06910ad7787cf217b249948c3f3bc638 models/65B/consolidated.07.pth -60758f2384d74e423dffddfd020ffed9d3bb186ebc54506f9c4a787d0f5367b0 models/65B/ggml-model-f16.bin -cde053439fa4910ae454407e2717cc46cc2c2b4995c00c93297a2b52e790fa92 models/65B/ggml-model-q4_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/65B/ggml-model-q4_1.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/65B/ggml-model-q5_0.bin -ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff models/65B/ggml-model-q5_1.bin -999ed1659b469ccc2a941714c0a9656fa571d17c9f7c8c7589817ca90edef51b models/65B/params.json -9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 models/tokenizer.model diff --git a/llama.cpp/build.zig b/llama.cpp/build.zig deleted file mode 100644 index 2287d2a..0000000 --- a/llama.cpp/build.zig +++ /dev/null @@ -1,68 +0,0 @@ -const std = @import("std"); -const commit_hash = @embedFile(".git/refs/heads/master"); - -// Zig Version: 0.11.0-dev.3986+e05c242cd -pub fn build(b: *std.build.Builder) void { - const target = b.standardTargetOptions(.{}); - const optimize = b.standardOptimizeOption(.{}); - - const config_header = b.addConfigHeader( - .{ .style = .blank, .include_path = "build-info.h" }, - .{ - .BUILD_NUMBER = 0, - .BUILD_COMMIT = commit_hash[0 .. commit_hash.len - 1], // omit newline - }, - ); - - const lib = b.addStaticLibrary(.{ - .name = "llama", - .target = target, - .optimize = optimize, - }); - lib.linkLibC(); - lib.linkLibCpp(); - lib.addIncludePath("."); - lib.addIncludePath("./examples"); - lib.addConfigHeader(config_header); - lib.addCSourceFiles(&.{"ggml.c"}, &.{"-std=c11"}); - lib.addCSourceFiles(&.{"llama.cpp"}, &.{"-std=c++11"}); - b.installArtifact(lib); - - const examples = .{ - "main", - "baby-llama", - "embedding", - "metal", - "perplexity", - "quantize", - "quantize-stats", - "save-load-state", - "server", - "simple", - "train-text-from-scratch", - }; - - inline for (examples) |example_name| { - const exe = b.addExecutable(.{ - .name = example_name, - .target = target, - .optimize = optimize, - }); - exe.addIncludePath("."); - exe.addIncludePath("./examples"); - exe.addConfigHeader(config_header); - exe.addCSourceFiles(&.{ - std.fmt.comptimePrint("examples/{s}/{s}.cpp", .{ example_name, example_name }), - "examples/common.cpp", - }, &.{"-std=c++11"}); - exe.linkLibrary(lib); - b.installArtifact(exe); - - const run_cmd = b.addRunArtifact(exe); - run_cmd.step.dependOn(b.getInstallStep()); - if (b.args) |args| run_cmd.addArgs(args); - - const run_step = b.step("run-" ++ example_name, "Run the app"); - run_step.dependOn(&run_cmd.step); - } -} diff --git a/llama.cpp/ci/README.md b/llama.cpp/ci/README.md deleted file mode 100644 index 65cfe63..0000000 --- a/llama.cpp/ci/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# CI - -In addition to [Github Actions](https://github.com/ggerganov/llama.cpp/actions) `llama.cpp` uses a custom CI framework: - -https://github.com/ggml-org/ci - -It monitors the `master` branch for new commits and runs the -[ci/run.sh](https://github.com/ggerganov/llama.cpp/blob/master/ci/run.sh) script on dedicated cloud instances. This allows us -to execute heavier workloads compared to just using Github Actions. Also with time, the cloud instances will be scaled -to cover various hardware architectures, including GPU and Apple Silicon instances. - -Collaborators can optionally trigger the CI run by adding the `ggml-ci` keyword to their commit message. -Only the branches of this repo are monitored for this keyword. - -It is a good practice, before publishing changes to execute the full CI locally on your machine: - -```bash -mkdir tmp - -# CPU-only build -bash ./ci/run.sh ./tmp/results ./tmp/mnt - -# with CUDA support -GG_BUILD_CUDA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt -``` diff --git a/llama.cpp/ci/run.sh b/llama.cpp/ci/run.sh deleted file mode 100644 index 8dc3949..0000000 --- a/llama.cpp/ci/run.sh +++ /dev/null @@ -1,409 +0,0 @@ -#/bin/bash -# -# sample usage: -# -# mkdir tmp -# -# # CPU-only build -# bash ./ci/run.sh ./tmp/results ./tmp/mnt -# -# # with CUDA support -# GG_BUILD_CUDA=1 bash ./ci/run.sh ./tmp/results ./tmp/mnt -# - -if [ -z "$2" ]; then - echo "usage: $0 " - exit 1 -fi - -mkdir -p "$1" -mkdir -p "$2" - -OUT=$(realpath "$1") -MNT=$(realpath "$2") - -rm -v $OUT/*.log -rm -v $OUT/*.exit -rm -v $OUT/*.md - -sd=`dirname $0` -cd $sd/../ -SRC=`pwd` - -## helpers - -# download a file if it does not exist or if it is outdated -function gg_wget { - local out=$1 - local url=$2 - - local cwd=`pwd` - - mkdir -p $out - cd $out - - # should not re-download if file is the same - wget -nv -N $url - - cd $cwd -} - -function gg_printf { - printf -- "$@" >> $OUT/README.md -} - -function gg_run { - ci=$1 - - set -o pipefail - set -x - - gg_run_$ci | tee $OUT/$ci.log - cur=$? - echo "$cur" > $OUT/$ci.exit - - set +x - set +o pipefail - - gg_sum_$ci - - ret=$((ret | cur)) -} - -## ci - -# ctest_debug - -function gg_run_ctest_debug { - cd ${SRC} - - rm -rf build-ci-debug && mkdir build-ci-debug && cd build-ci-debug - - set -e - - (time cmake -DCMAKE_BUILD_TYPE=Debug .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log - (time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log - - (time ctest --output-on-failure -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log - - set +e -} - -function gg_sum_ctest_debug { - gg_printf '### %s\n\n' "${ci}" - - gg_printf 'Runs ctest in debug mode\n' - gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)" - gg_printf '```\n' - gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)" - gg_printf '```\n' - gg_printf '\n' -} - -# ctest_release - -function gg_run_ctest_release { - cd ${SRC} - - rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release - - set -e - - (time cmake -DCMAKE_BUILD_TYPE=Release .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log - (time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log - - if [ -z ${GG_BUILD_LOW_PERF} ]; then - (time ctest --output-on-failure ) 2>&1 | tee -a $OUT/${ci}-ctest.log - else - (time ctest --output-on-failure -E test-opt ) 2>&1 | tee -a $OUT/${ci}-ctest.log - fi - - set +e -} - -function gg_sum_ctest_release { - gg_printf '### %s\n\n' "${ci}" - - gg_printf 'Runs ctest in release mode\n' - gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)" - gg_printf '```\n' - gg_printf '%s\n' "$(cat $OUT/${ci}-ctest.log)" - gg_printf '```\n' -} - -# open_llama_3b_v2 - -function gg_run_open_llama_3b_v2 { - cd ${SRC} - - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/config.json - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/tokenizer.model - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/tokenizer_config.json - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/special_tokens_map.json - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/resolve/main/pytorch_model.bin - gg_wget models-mnt/open-llama/3B-v2/ https://huggingface.co/openlm-research/open_llama_3b_v2/raw/main/generation_config.json - - gg_wget models-mnt/wikitext/ https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip - unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/ - head -n 60 models-mnt/wikitext/wikitext-2-raw/wiki.test.raw > models-mnt/wikitext/wikitext-2-raw/wiki.test-60.raw - - path_models="../models-mnt/open-llama/3B-v2" - path_wiki="../models-mnt/wikitext/wikitext-2-raw" - - rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release - - set -e - - (time cmake -DCMAKE_BUILD_TYPE=Release -DLLAMA_QKK_64=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log - (time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log - - python3 ../convert.py ${path_models} - - model_f16="${path_models}/ggml-model-f16.bin" - model_q8_0="${path_models}/ggml-model-q8_0.bin" - model_q4_0="${path_models}/ggml-model-q4_0.bin" - model_q4_1="${path_models}/ggml-model-q4_1.bin" - model_q5_0="${path_models}/ggml-model-q5_0.bin" - model_q5_1="${path_models}/ggml-model-q5_1.bin" - model_q2_k="${path_models}/ggml-model-q2_k.bin" - model_q3_k="${path_models}/ggml-model-q3_k.bin" - model_q4_k="${path_models}/ggml-model-q4_k.bin" - model_q5_k="${path_models}/ggml-model-q5_k.bin" - model_q6_k="${path_models}/ggml-model-q6_k.bin" - - wiki_test_60="${path_wiki}/wiki.test-60.raw" - - ./bin/quantize ${model_f16} ${model_q8_0} q8_0 - ./bin/quantize ${model_f16} ${model_q4_0} q4_0 - ./bin/quantize ${model_f16} ${model_q4_1} q4_1 - ./bin/quantize ${model_f16} ${model_q5_0} q5_0 - ./bin/quantize ${model_f16} ${model_q5_1} q5_1 - ./bin/quantize ${model_f16} ${model_q2_k} q2_k - ./bin/quantize ${model_f16} ${model_q3_k} q3_k - ./bin/quantize ${model_f16} ${model_q4_k} q4_k - ./bin/quantize ${model_f16} ${model_q5_k} q5_k - ./bin/quantize ${model_f16} ${model_q6_k} q6_k - - (time ./bin/main --model ${model_f16} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log - (time ./bin/main --model ${model_q8_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log - (time ./bin/main --model ${model_q4_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log - (time ./bin/main --model ${model_q4_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log - (time ./bin/main --model ${model_q5_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log - (time ./bin/main --model ${model_q5_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log - (time ./bin/main --model ${model_q2_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log - (time ./bin/main --model ${model_q3_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log - (time ./bin/main --model ${model_q4_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log - (time ./bin/main --model ${model_q5_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log - (time ./bin/main --model ${model_q6_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log - - (time ./bin/perplexity --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log - (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log - (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log - (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log - (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log - (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log - (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log - (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log - (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log - (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log - (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 3 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log - - function check_ppl { - qnt="$1" - ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1) - - if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then - printf ' - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl" - return 20 - fi - - printf ' - %s @ %s OK\n' "$qnt" "$ppl" - return 0 - } - - check_ppl "f16" "$(cat $OUT/${ci}-tg-f16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - - set +e -} - -function gg_sum_open_llama_3b_v2 { - gg_printf '### %s\n\n' "${ci}" - - gg_printf 'OpenLLaMA 3B-v2:\n' - gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)" - gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)" - gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)" - gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)" - gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)" - gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)" - gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)" - gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)" - gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)" - gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)" - gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)" - gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)" - gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)" -} - -# open_llama_7b_v2 -# requires: GG_BUILD_CUDA - -function gg_run_open_llama_7b_v2 { - cd ${SRC} - - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/raw/main/config.json - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/resolve/main/tokenizer.model - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/raw/main/tokenizer_config.json - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/raw/main/special_tokens_map.json - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/raw/main/pytorch_model.bin.index.json - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/resolve/main/pytorch_model-00001-of-00002.bin - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/resolve/main/pytorch_model-00002-of-00002.bin - gg_wget models-mnt/open-llama/7B-v2/ https://huggingface.co/openlm-research/open_llama_7b_v2/raw/main/generation_config.json - - gg_wget models-mnt/wikitext/ https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip - unzip -o models-mnt/wikitext/wikitext-2-raw-v1.zip -d models-mnt/wikitext/ - - path_models="../models-mnt/open-llama/7B-v2" - path_wiki="../models-mnt/wikitext/wikitext-2-raw" - - rm -rf build-ci-release && mkdir build-ci-release && cd build-ci-release - - set -e - - (time cmake -DCMAKE_BUILD_TYPE=Release -DLLAMA_CUBLAS=1 .. ) 2>&1 | tee -a $OUT/${ci}-cmake.log - (time make -j ) 2>&1 | tee -a $OUT/${ci}-make.log - - python3 ../convert.py ${path_models} - - model_f16="${path_models}/ggml-model-f16.bin" - model_q8_0="${path_models}/ggml-model-q8_0.bin" - model_q4_0="${path_models}/ggml-model-q4_0.bin" - model_q4_1="${path_models}/ggml-model-q4_1.bin" - model_q5_0="${path_models}/ggml-model-q5_0.bin" - model_q5_1="${path_models}/ggml-model-q5_1.bin" - model_q2_k="${path_models}/ggml-model-q2_k.bin" - model_q3_k="${path_models}/ggml-model-q3_k.bin" - model_q4_k="${path_models}/ggml-model-q4_k.bin" - model_q5_k="${path_models}/ggml-model-q5_k.bin" - model_q6_k="${path_models}/ggml-model-q6_k.bin" - - wiki_test="${path_wiki}/wiki.test.raw" - - ./bin/quantize ${model_f16} ${model_q8_0} q8_0 - ./bin/quantize ${model_f16} ${model_q4_0} q4_0 - ./bin/quantize ${model_f16} ${model_q4_1} q4_1 - ./bin/quantize ${model_f16} ${model_q5_0} q5_0 - ./bin/quantize ${model_f16} ${model_q5_1} q5_1 - ./bin/quantize ${model_f16} ${model_q2_k} q2_k - ./bin/quantize ${model_f16} ${model_q3_k} q3_k - ./bin/quantize ${model_f16} ${model_q4_k} q4_k - ./bin/quantize ${model_f16} ${model_q5_k} q5_k - ./bin/quantize ${model_f16} ${model_q6_k} q6_k - - (time ./bin/main --model ${model_f16} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log - (time ./bin/main --model ${model_q8_0} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log - (time ./bin/main --model ${model_q4_0} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log - (time ./bin/main --model ${model_q4_1} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log - (time ./bin/main --model ${model_q5_0} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log - (time ./bin/main --model ${model_q5_1} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log - (time ./bin/main --model ${model_q2_k} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log - (time ./bin/main --model ${model_q3_k} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log - (time ./bin/main --model ${model_q4_k} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log - (time ./bin/main --model ${model_q5_k} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log - (time ./bin/main --model ${model_q6_k} -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log - - (time ./bin/perplexity --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log - (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log - (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log - (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log - (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log - (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log - (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log - (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log - (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log - (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log - (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log - - function check_ppl { - qnt="$1" - ppl=$(echo "$2" | grep -oE "[0-9]+\.[0-9]+" | tail -n 1) - - if [ $(echo "$ppl > 20.0" | bc) -eq 1 ]; then - printf ' - %s @ %s (FAIL: ppl > 20.0)\n' "$qnt" "$ppl" - return 20 - fi - - printf ' - %s @ %s OK\n' "$qnt" "$ppl" - return 0 - } - - check_ppl "f16" "$(cat $OUT/${ci}-tg-f16.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q8_0" "$(cat $OUT/${ci}-tg-q8_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_0" "$(cat $OUT/${ci}-tg-q4_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_1" "$(cat $OUT/${ci}-tg-q4_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_0" "$(cat $OUT/${ci}-tg-q5_0.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_1" "$(cat $OUT/${ci}-tg-q5_1.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q2_k" "$(cat $OUT/${ci}-tg-q2_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q3_k" "$(cat $OUT/${ci}-tg-q3_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q4_k" "$(cat $OUT/${ci}-tg-q4_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q5_k" "$(cat $OUT/${ci}-tg-q5_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - check_ppl "q6_k" "$(cat $OUT/${ci}-tg-q6_k.log | grep "^\[1\]")" | tee -a $OUT/${ci}-ppl.log - - set +e -} - -function gg_sum_open_llama_7b_v2 { - gg_printf '### %s\n\n' "${ci}" - - gg_printf 'OpenLLaMA 7B-v2:\n' - gg_printf '- status: %s\n' "$(cat $OUT/${ci}.exit)" - gg_printf '- perplexity:\n%s\n' "$(cat $OUT/${ci}-ppl.log)" - gg_printf '- f16: \n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-f16.log)" - gg_printf '- q8_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q8_0.log)" - gg_printf '- q4_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_0.log)" - gg_printf '- q4_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_1.log)" - gg_printf '- q5_0:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_0.log)" - gg_printf '- q5_1:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_1.log)" - gg_printf '- q2_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q2_k.log)" - gg_printf '- q3_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q3_k.log)" - gg_printf '- q4_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q4_k.log)" - gg_printf '- q5_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q5_k.log)" - gg_printf '- q6_k:\n```\n%s\n```\n' "$(cat $OUT/${ci}-tg-q6_k.log)" -} - -## main - -if [ -z ${GG_BUILD_LOW_PERF} ]; then - rm -rf ${SRC}/models-mnt - - mnt_models=${MNT}/models - mkdir -p ${mnt_models} - ln -sfn ${mnt_models} ${SRC}/models-mnt - - python3 -m pip install -r ${SRC}/requirements.txt -fi - -ret=0 - -test $ret -eq 0 && gg_run ctest_debug -test $ret -eq 0 && gg_run ctest_release - -if [ -z ${GG_BUILD_LOW_PERF} ]; then - if [ -z ${GG_BUILD_CUDA} ]; then - test $ret -eq 0 && gg_run open_llama_3b_v2 - else - test $ret -eq 0 && gg_run open_llama_7b_v2 - fi -fi - -exit $ret diff --git a/llama.cpp/convert-lora-to-ggml.py b/llama.cpp/convert-lora-to-ggml.py deleted file mode 100755 index b4999ff..0000000 --- a/llama.cpp/convert-lora-to-ggml.py +++ /dev/null @@ -1,134 +0,0 @@ -#!/usr/bin/env python -import json -import os -import re -import struct -import sys -from typing import Any, Dict, Sequence, TextIO - -import torch - -from convert import DATA_TYPE_TO_FTYPE, NUMPY_TYPE_TO_DATA_TYPE, DataType - -HF_SUBLAYER_TO_GGML = { - "self_attn.q_proj": "attention.wq", - "self_attn.k_proj": "attention.wk", - "self_attn.v_proj": "attention.wv", - "self_attn.o_proj": "attention.wo", - "mlp.gate_proj": "feed_forward.w1", - "mlp.down_proj": "feed_forward.w2", - "mlp.up_proj": "feed_forward.w3", - "input_layernorm": "attention_norm", - "post_attention_layernorm": "ffn_norm", - # "norm": "norm", - # "embed_tokens": "tok_embeddings", - # "lm_head": "output", -} - - -def translate_tensor_name(t: str) -> str: - match = re.match(r".*layers\.(\d+)\.(\w+\.\w+)\.lora_(A|B)\.weight", t) - if match: - nn = match.group(1) - sub_layer = match.group(2) - lora_type = match.group(3) - - sub_layer_renamed = HF_SUBLAYER_TO_GGML.get(sub_layer) - if sub_layer_renamed is None: - print(f"Error: unrecognized sub-layer {sub_layer} in tensor {t}") - sys.exit(1) - - output_string = ( - f"layers.{nn}.{HF_SUBLAYER_TO_GGML[sub_layer]}.weight.lora{lora_type}" - ) - return output_string - else: - print(f"Error: unrecognized tensor {t}") - sys.exit(1) - - -def write_file_header(fout: TextIO, params: Dict[str, Any]) -> None: - fout.write(b"ggla"[::-1]) # magic (ggml lora) - fout.write(struct.pack("i", 1)) # file version - fout.write(struct.pack("i", params["r"])) - # https://opendelta.readthedocs.io/en/latest/modules/deltas.html says that `lora_alpha` is an int - # but some models ship a float value instead - # let's convert to int, but fail if lossless conversion is not possible - assert int(params["lora_alpha"]) == params["lora_alpha"], "cannot convert float to int losslessly" - fout.write(struct.pack("i", int(params["lora_alpha"]))) - - -def write_tensor_header( - self, name: str, shape: Sequence[int], data_type: DataType -) -> None: - sname = name.encode("utf-8") - fout.write( - struct.pack( - "iii", - len(shape), - len(sname), - DATA_TYPE_TO_FTYPE[NUMPY_TYPE_TO_DATA_TYPE[data_type]], - ) - ) - fout.write(struct.pack("i" * len(shape), *shape[::-1])) - fout.write(sname) - fout.seek((fout.tell() + 31) & -32) - - -if len(sys.argv) != 2: - print(f"Usage: python {sys.argv[0]} ") - print( - "Path must contain HuggingFace PEFT LoRA files 'adapter_config.json' and 'adapter_model.bin'" - ) - sys.exit(1) - -input_json = os.path.join(sys.argv[1], "adapter_config.json") -input_model = os.path.join(sys.argv[1], "adapter_model.bin") -output_path = os.path.join(sys.argv[1], "ggml-adapter-model.bin") - -model = torch.load(input_model, map_location="cpu") - -with open(input_json, "r") as f: - params = json.load(f) - -if params["peft_type"] != "LORA": - print(f"Error: unsupported adapter type {params['peft_type']}, expected LORA") - sys.exit(1) - -if params["fan_in_fan_out"] is True: - print("Error: param fan_in_fan_out is not supported") - sys.exit(1) - -if params["bias"] is not None and params["bias"] != "none": - print("Error: param bias is not supported") - sys.exit(1) - -# TODO: these seem to be layers that have been trained but without lora. -# doesn't seem widely used but eventually should be supported -if params["modules_to_save"] is not None and len(params["modules_to_save"]) > 0: - print("Error: param modules_to_save is not supported") - sys.exit(1) - -with open(output_path, "wb") as fout: - fout.truncate() - - write_file_header(fout, params) - for k, v in model.items(): - if k.endswith(".default.weight"): - k = k.replace(".default.weight", ".weight") - if k in ["llama_proj.weight", "llama_proj.bias"]: - continue - if k.endswith("lora_A.weight"): - if v.dtype != torch.float16 and v.dtype != torch.float32: - v = v.float() - v = v.T - else: - v = v.float() - - t = v.detach().numpy() - tname = translate_tensor_name(k) - print(f"{k} => {tname} {t.shape} {t.dtype} {t.nbytes/1024/1024:.2f}MB") - write_tensor_header(fout, tname, t.shape, t.dtype) - t.tofile(fout) - -print(f"Converted {input_json} and {input_model} to {output_path}") diff --git a/llama.cpp/convert-pth-to-ggml.py b/llama.cpp/convert-pth-to-ggml.py deleted file mode 100644 index dd15393..0000000 --- a/llama.cpp/convert-pth-to-ggml.py +++ /dev/null @@ -1,13 +0,0 @@ -# Compatibility stub - -import argparse - -import convert - -parser = argparse.ArgumentParser( - description="""[DEPRECATED - use `convert.py` instead] - Convert a LLaMA model checkpoint to a ggml compatible file""") -parser.add_argument('dir_model', help='directory containing the model checkpoint') -parser.add_argument('ftype', help='file type (0: float32, 1: float16)', type=int, choices=[0, 1], default=1) -args = parser.parse_args() -convert.main(['--outtype', 'f16' if args.ftype == 1 else 'f32', '--', args.dir_model]) diff --git a/llama.cpp/convert.py b/llama.cpp/convert.py deleted file mode 100644 index ab6a4e1..0000000 --- a/llama.cpp/convert.py +++ /dev/null @@ -1,1319 +0,0 @@ -#!/usr/bin/env python -import argparse -import concurrent.futures -import copy -import enum -import faulthandler -import functools -import io -import itertools -import json -import math -import mmap -import pickle -import re -import signal -import struct -import sys -import zipfile -from abc import ABCMeta, abstractmethod -from dataclasses import dataclass -from pathlib import Path -from typing import (IO, TYPE_CHECKING, Any, Callable, Dict, Iterable, List, - Literal, Optional, Sequence, Tuple, TypeVar, Union) - -import numpy as np -from sentencepiece import SentencePieceProcessor # type: ignore - -if TYPE_CHECKING: - from typing_extensions import TypeAlias - -if hasattr(faulthandler, 'register') and hasattr(signal, 'SIGUSR1'): - faulthandler.register(signal.SIGUSR1) - -NDArray: 'TypeAlias' = 'np.ndarray[Any, Any]' - - -@dataclass(frozen=True) -class UnquantizedDataType: - name: str - - -DT_F16 = UnquantizedDataType('F16') -DT_F32 = UnquantizedDataType('F32') -DT_I32 = UnquantizedDataType('I32') -DT_BF16 = UnquantizedDataType('BF16') - - -@dataclass(frozen=True) -class QuantizedDataType: - groupsize: int - have_addends: bool - have_g_idx: bool - - -DT_Q4_0 = QuantizedDataType(groupsize=32, have_addends=False, have_g_idx=False) -DT_Q4_1 = QuantizedDataType(groupsize=32, have_addends=True, have_g_idx=False) - -DataType = Union[UnquantizedDataType, QuantizedDataType] - -DATA_TYPE_TO_FTYPE: Dict[DataType, int] = { - DT_F32: 0, - DT_F16: 1, - DT_Q4_0: 2, - DT_Q4_1: 3, -} - -FTYPE_TO_DATA_TYPE: Dict[int, DataType] = \ - {ftype: dtype for (dtype, ftype) in DATA_TYPE_TO_FTYPE.items()} - -DATA_TYPE_TO_NUMPY: Dict[DataType, 'np.dtype[Any]'] = { - DT_BF16: np.dtype(np.uint16), - DT_F16: np.dtype(np.float16), - DT_F32: np.dtype(np.float32), - DT_I32: np.dtype(np.int32), -} - -NUMPY_TYPE_TO_DATA_TYPE: Dict['np.dtype[Any]', DataType] = \ - {dtype: data_type for (data_type, dtype) in DATA_TYPE_TO_NUMPY.items()} - - -class GGMLFileType(enum.Enum): - AllF32 = 0 - MostlyF16 = 1 # except 1d tensors - MostlyQ4_0 = 2 # except 1d tensors - MostlyQ4_1 = 3 # except 1d tensors - PerLayerIsQ4_1 = 4 # but tok_embeddings.weight and output.weight are F16 - - def type_for_tensor(self, name: str, tensor: 'LazyTensor') -> DataType: - if len(tensor.shape) == 1: - # 1D tensors are always F32. - return DT_F32 - elif self == GGMLFileType.AllF32: - return DT_F32 - elif self == GGMLFileType.MostlyF16: - return DT_F16 - elif self == GGMLFileType.MostlyQ4_0: - return DT_Q4_0 - elif self == GGMLFileType.MostlyQ4_1: - return DT_Q4_1 - elif self == GGMLFileType.PerLayerIsQ4_1: - if name in ('output.weight', 'tok_embeddings.weight'): - return DT_F16 - else: - return DT_Q4_1 - else: - raise ValueError(self) - - -def make_tensors_list() -> List[str]: - ret = [ - 'tok_embeddings.weight', - 'norm.weight', - 'output.weight', - ] - for i in range(80): # maximum number of layer - ret += [ - f'layers.{i}.attention.wq.weight', - f'layers.{i}.attention.wk.weight', - f'layers.{i}.attention.wv.weight', - f'layers.{i}.attention.wo.weight', - f'layers.{i}.attention_norm.weight', - f'layers.{i}.feed_forward.w1.weight', - f'layers.{i}.feed_forward.w2.weight', - f'layers.{i}.feed_forward.w3.weight', - f'layers.{i}.ffn_norm.weight', - ] - return ret - - -TENSORS_LIST = make_tensors_list() -TENSORS_SET = set(TENSORS_LIST) - - -def find_n_mult(n_ff: int, n_embd: int) -> int: - # hardcoded magic range - for n_mult in range(8192, 1, -1): - calc_ff = (((8*n_embd) // 3 + n_mult - 1) // n_mult)*n_mult - if calc_ff == n_ff: - return n_mult - raise Exception(f"failed to find n_mult for (n_ff={n_ff}, n_embd={n_embd}).") - -@dataclass -class Params: - n_vocab: int - n_embd: int - n_mult: int - n_head: int - n_layer: int - n_kv_head: Optional[int] # This parameter is only used for Llama 2 - - @staticmethod - def guessed(model: 'LazyModel') -> 'Params': - # try transformer naming first - n_vocab, n_embd = model["model.embed_tokens.weight"].shape if "model.embed_tokens.weight" in model else model["tok_embeddings.weight"].shape - - # try transformer naming first - if "model.layers.0.self_attn.q_proj.weight" in model: - n_layer=next(i for i in itertools.count() if f"model.layers.{i}.self_attn.q_proj.weight" not in model) - elif "model.layers.0.self_attn.W_pack.weight" in model: # next: try baichuan naming - n_layer=next(i for i in itertools.count() if f"model.layers.{i}.self_attn.W_pack.weight" not in model) - else: - n_layer=next(i for i in itertools.count() if f"layers.{i}.attention.wq.weight" not in model) - - if n_layer < 1: - raise Exception("failed to guess 'n_layer'. This model is unknown or unsupported.\n" - "Suggestion: provide 'config.json' of the model in the same directory containing model files.") - - n_head=n_embd // 128 # guessed - - return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = 256, - n_head = n_head, - n_layer = n_layer, - n_kv_head = None, - ) - - @staticmethod - def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params': - config = json.load(open(config_path)) - - n_vocab = config["vocab_size"]; - n_embd = config["hidden_size"]; - n_head = config["num_attention_heads"]; - n_layer = config["num_hidden_layers"]; - n_ff = config["intermediate_size"]; - n_kv_head = config.get("num_key_value_heads") - - n_mult = find_n_mult(n_ff, n_embd); - - return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = n_mult, - n_head = n_head, - n_layer = n_layer, - n_kv_head = n_kv_head, - ) - - # LLaMA v2 70B params.json - # {"dim": 8192, "multiple_of": 4096, "ffn_dim_multiplier": 1.3, "n_heads": 64, "n_kv_heads": 8, "n_layers": 80, "norm_eps": 1e-05, "vocab_size": -1 - @staticmethod - def loadOriginalParamsJson(model: 'LazyModel', config_path: 'Path') -> 'Params': - config = json.load(open(config_path)) - - n_vocab = config["vocab_size"]; - n_embd = config["dim"]; - n_head = config["n_heads"]; - n_layer = config["n_layers"]; - n_mult = config["multiple_of"]; - - if n_vocab == -1: - n_vocab = model["tok_embeddings.weight"].shape[0] - - return Params( - n_vocab = n_vocab, - n_embd = n_embd, - n_mult = n_mult, - n_head = n_head, - n_layer = n_layer, - n_kv_head = None, - ) - - @staticmethod - def load(model_plus: 'ModelPlus') -> 'Params': - hf_config_path = model_plus.paths[0].parent / "config.json" - orig_config_path = model_plus.paths[0].parent / "params.json" - - if hf_config_path.exists(): - params = Params.loadHFTransformerJson(model_plus.model, hf_config_path) - elif orig_config_path.exists(): - params = Params.loadOriginalParamsJson(model_plus.model, orig_config_path) - else: - params = Params.guessed(model_plus.model) - - print(f'params: n_vocab:{params.n_vocab} n_embd:{params.n_embd} n_mult:{params.n_mult} n_head:{params.n_head} n_layer:{params.n_layer}') - return params - - -class SentencePieceVocab: - def __init__(self, fname_tokenizer: Path, fname_added_tokens: Optional[Path], vocabtype: Optional[str]) -> None: - self.vocabtype = vocabtype - if self.vocabtype == "bpe": - self.sentencepiece_tokenizer = json.loads(open(str(fname_tokenizer)).read()) - else: - self.sentencepiece_tokenizer = SentencePieceProcessor(str(fname_tokenizer)) - added_tokens: Dict[str, int] - if fname_added_tokens is not None: - added_tokens = json.load(open(fname_added_tokens)) - else: - added_tokens = {} - if self.vocabtype == "bpe": - vocab_size: int = len(self.sentencepiece_tokenizer) - else: - vocab_size: int = self.sentencepiece_tokenizer.vocab_size() - expected_ids = list(range(vocab_size, vocab_size + len(added_tokens))) - actual_ids = sorted(added_tokens.values()) - if expected_ids != actual_ids: - raise Exception(f"Expected added token IDs to be sequential and start at {len(added_tokens)}; got {actual_ids}") - items = sorted(added_tokens.items(), key=lambda text_idx: text_idx[1]) - self.added_tokens_list = [text for (text, idx) in items] - self.vocab_size_base: int = vocab_size - self.vocab_size: int = self.vocab_size_base + len(self.added_tokens_list) - self.fname_tokenizer = fname_tokenizer - self.fname_added_tokens = fname_added_tokens - - def sentencepiece_tokens(self) -> Iterable[Tuple[bytes, float]]: - tokenizer = self.sentencepiece_tokenizer - if self.vocabtype == "bpe": - from transformers.models.gpt2 import tokenization_gpt2 - byte_encoder = tokenization_gpt2.bytes_to_unicode() - byte_decoder = {v: k for k, v in byte_encoder.items()} - for i, item in enumerate(tokenizer): - text: bytes - text = b''.join([x.to_bytes(1, byteorder='big') for x in [byte_decoder[y] for y in item]]) - score: float = -i - yield text, score - else: - for i in range(tokenizer.vocab_size()): - text: bytes - if tokenizer.is_unknown(i): - text = " \u2047 ".encode("utf-8") - elif tokenizer.is_control(i): - text = b"" - elif tokenizer.is_byte(i): - piece = tokenizer.id_to_piece(i) - if len(piece) != 6: - raise Exception(f"Invalid token: {piece}") - byte_value = int(piece[3:-1], 16) - text = struct.pack("B", byte_value) - else: - text = tokenizer.id_to_piece(i).replace("\u2581", " ").encode("utf-8") - score: float = tokenizer.get_score(i) - yield text, score - - def added_tokens(self) -> Iterable[Tuple[bytes, float]]: - for text in self.added_tokens_list: - score = -1000.0 - yield text.encode("utf-8"), score - - def all_tokens(self) -> Iterable[Tuple[bytes, float]]: - yield from self.sentencepiece_tokens() - yield from self.added_tokens() - - def __repr__(self) -> str: - return f"" - - -class GGMLVocab: - def __init__(self, tokens: List[Tuple[bytes, float]]): - self.tokens = tokens - self.vocab_size = len(tokens) - - def all_tokens(self) -> Iterable[Tuple[bytes, float]]: - return self.tokens - - def __repr__(self) -> str: - return f"" - - -Vocab = Union[SentencePieceVocab, GGMLVocab] - - -def permute(weights: NDArray, n_head: int, n_kv_head: Optional[int] = None) -> NDArray: - if n_kv_head is not None and n_head != n_kv_head: - n_head //= n_kv_head - return (weights.reshape(n_head, 2, weights.shape[0] // n_head // 2, *weights.shape[1:]) - .swapaxes(1, 2) - .reshape(weights.shape)) - - -def dequantize_q4(qvalues_pack32: NDArray, scales: NDArray, addends: Optional[NDArray], g_idx: Optional[NDArray]) -> NDArray: - # First reinterpret each row from a list of int32s containing 8 values each - # to a list of uint8s containing 2 values each. - qvalues_pack8 = qvalues_pack32.view(np.uint8) - - # Then split out the two values per int8 (which requires an actual - # conversion because numpy doesn't natively support int4s). - qvalues = np.zeros([qvalues_pack8.shape[0], qvalues_pack8.shape[1] * 2], dtype=np.uint8) - qvalues[:, 0::2] = qvalues_pack8 & 0xf - qvalues[:, 1::2] = qvalues_pack8 >> 4 - - assert addends is None or addends.shape == scales.shape - assert qvalues.shape[0] == scales.shape[0] - assert qvalues.shape[1] % scales.shape[1] == 0 - if g_idx is None: - repeat_count = qvalues.shape[1] // scales.shape[1] - scales = scales[:, :, np.newaxis] - if addends is not None: - addends = addends[:, :, np.newaxis] - # Reshape so that the below computation broadcasts over scales and addends: - qvalues.shape = (qvalues.shape[0], scales.shape[1], int(repeat_count)) - else: - # In this case the scale and addend is selected for each column by g_idx: - assert addends is not None - scales = scales[:, g_idx] - addends = addends[:, g_idx] - if addends is None: - # Q4_0 - qvalues = qvalues.view(np.int8) - qvalues -= 8 - # And do the actual 'value = scale * qvalue + addend' computation. - values = scales * qvalues - if addends is not None: - values += addends - if g_idx is None: - values.shape = (values.shape[0], values.shape[1] * values.shape[2]) - return values - - -class Tensor(metaclass=ABCMeta): - data_type: DataType - - @abstractmethod - def astype(self, data_type: DataType) -> 'Tensor': ... - @abstractmethod - def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'Tensor': ... - @abstractmethod - def permute_part(self, n_part: int, n_head: int) -> 'UnquantizedTensor': ... - @abstractmethod - def part(self, n_part: int) -> 'UnquantizedTensor': ... - @abstractmethod - def to_ggml(self) -> 'GGMLCompatibleTensor': ... - - -def bf16_to_fp32(bf16_arr: np.ndarray) -> np.ndarray: - assert bf16_arr.dtype == np.uint16, f"Input array should be of dtype uint16, but got {bf16_arr.dtype}" - fp32_arr = bf16_arr.astype(np.uint32) << 16 - return fp32_arr.view(np.float32) - - -class UnquantizedTensor(Tensor): - def __init__(self, ndarray: NDArray) -> None: - assert isinstance(ndarray, np.ndarray) - self.ndarray = ndarray - self.data_type = NUMPY_TYPE_TO_DATA_TYPE[ndarray.dtype] - - def astype(self, data_type: DataType) -> Tensor: - dtype = DATA_TYPE_TO_NUMPY[data_type] - if self.data_type == DT_BF16: - self.ndarray = bf16_to_fp32(self.ndarray) - return UnquantizedTensor(self.ndarray.astype(dtype)) - - def to_ggml(self) -> 'UnquantizedTensor': - return self - - def permute_part(self, n_part: int, n_head: int) -> 'UnquantizedTensor': - r = self.ndarray.shape[0] // 3 - return UnquantizedTensor(permute(self.ndarray[r * n_part : r * n_part + r, ...], n_head)) - - def part(self, n_part: int) -> 'UnquantizedTensor': - r = self.ndarray.shape[0] // 3 - return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...]) - - def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'UnquantizedTensor': - return UnquantizedTensor(permute(self.ndarray, n_head, n_kv_head)) - - -def load_unquantized(lazy_tensor: 'LazyTensor', expected_dtype: Any = None, convert: bool = False) -> NDArray: - tensor = lazy_tensor.load() - assert isinstance(tensor, UnquantizedTensor) - - # double-check: - actual_shape = list(tensor.ndarray.shape) - assert actual_shape == lazy_tensor.shape, (actual_shape, lazy_tensor.shape) - if expected_dtype is not None and expected_dtype != tensor.ndarray.dtype: - if convert: - tensor.ndarray = tensor.ndarray.astype(expected_dtype) - else: - raise ValueError(f'expected this tensor to have dtype {expected_dtype}, got {tensor.ndarray.dtype}') - - return tensor.ndarray - - -class GGMLQuantizedTensor(Tensor): - data_type: QuantizedDataType - - def __init__(self, ndarray: NDArray, shape: List[int], data_type: DataType) -> None: - rows, columns = shape - assert data_type in (DT_Q4_1, DT_Q4_0) # for now - assert isinstance(data_type, QuantizedDataType) # redundant, but mypy complains without this - assert columns % data_type.groupsize == 0 - words_in_block = 6 if data_type == DT_Q4_1 else 5 - self.ndarray = ndarray.view(dtype=np.uint32).reshape((rows, columns // data_type.groupsize, words_in_block)) - self.shape = shape[:] - self.data_type = data_type - - def astype(self, data_type: DataType) -> Tensor: - if data_type == self.data_type: - return self - scales = self.ndarray[:, :, 0].view(np.float32) - if self.data_type.have_addends: - addends = self.ndarray[:, :, 1].view(np.float32) - else: - addends = None - qweights = self.ndarray[:, :, -4:].reshape([self.shape[0], self.shape[1] // 8]) - - dq = dequantize_q4(qweights, scales, addends, g_idx=None) - return UnquantizedTensor(dq).astype(data_type) - - def to_ggml(self) -> 'GGMLQuantizedTensor': - return self - - def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'GGMLQuantizedTensor': - return GGMLQuantizedTensor(permute(self.ndarray, n_head, n_kv_head), self.shape, self.data_type) - - -GGMLCompatibleTensor = Union[UnquantizedTensor, GGMLQuantizedTensor] - - -class DeferredPermutedTensor(Tensor): - def __init__(self, base: Tensor, n_head: int, n_kv_head: Optional[int] = None) -> None: - self.base = base - self.n_head = n_head - self.n_kv_head = n_kv_head - self.data_type = self.base.data_type - - def astype(self, data_type: DataType) -> Tensor: - return self.base.astype(data_type).permute(self.n_head, self.n_kv_head) - - def to_ggml(self) -> GGMLCompatibleTensor: - return self.base.to_ggml().permute(self.n_head, self.n_kv_head) - - def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> Tensor: - raise Exception("shouldn't permute twice") - - -class GPTQForLLaMaQuantizedTensor(Tensor): - def __init__(self, model: 'LazyModel', namebase: str) -> None: - qweight = load_unquantized(model[f"{namebase}.qweight"], np.int32) - scales = load_unquantized(model[f"{namebase}.scales"], np.float32, convert=True) - - bias = model.get(f"{namebase}.bias") - if bias is not None: - # Q4_1 does not support bias; good thing the bias is always all zeros. - assert not np.any(load_unquantized(bias)) - - if f"{namebase}.zeros" in model: - zeros = load_unquantized(model[f"{namebase}.zeros"], np.float32) - else: - qzeros = load_unquantized(model[f"{namebase}.qzeros"], np.int32) - assert qzeros.dtype == np.int32 - zeros = dequantize_q4(qzeros, scales, scales, g_idx=None) - assert zeros.dtype == np.float32 - - assert zeros.shape == scales.shape - - # Output is transposed compared to the input, and addends have their sign flipped. - # Scales and zeros similarly must be transposed but only for newer - # versions of GPTQ-for-LLaMa; the older versions can be identified by - # having shape (n_embd, 1). - qweight = qweight.T - if scales.shape[1] != 1: - scales = scales.T - zeros = zeros.T - - # Output also has signs flipped for the addends. - self.qweight = qweight - self.scales = scales - self.addends = -zeros - - self.g_idx: Optional[NDArray] - if f"{namebase}.g_idx" in model: - self.g_idx = load_unquantized(model[f"{namebase}.g_idx"], np.int32) - assert self.g_idx.shape == (qweight.shape[1] * 8,) - else: - self.g_idx = None - - self.shape = [self.qweight.shape[0], self.qweight.shape[1] * 8] - self.data_type = QuantizedDataType(groupsize=self.groupsize(), have_addends=True, - have_g_idx=(self.g_idx is not None)) - - def inspect(self, row: int, col: int) -> None: - '''For debugging.''' - qweight = (self.qweight[row, col // 8] >> (4 * (col & 7))) & 0xf - if self.g_idx is not None: - group = self.g_idx[col] - else: - group = int(col // self.groupsize()) - scale = self.scales[row, group] - addend = self.addends[row, group] - with np.printoptions(precision=None, suppress=True): - print(f'scale:{scale} addend:{addend} qweight:{qweight}') - print('possible values:', np.arange(16) * scale + addend) - print('actual value:', qweight * scale + addend) - - def astype(self, data_type: DataType) -> Tensor: - if isinstance(data_type, QuantizedDataType): - assert self.g_idx is None and data_type.have_addends is True and data_type.have_g_idx is False - return self.regroup(data_type.groupsize) - - dequantized = dequantize_q4(np.ascontiguousarray(self.qweight), self.scales, self.addends, self.g_idx) - return UnquantizedTensor(dequantized).astype(data_type) - - def groupsize(self) -> int: - assert self.addends.shape == self.scales.shape - assert self.shape[1] % self.scales.shape[1] == 0 - return self.shape[1] // self.scales.shape[1] - - def regroup(self, new_groupsize: int = 32) -> 'GPTQForLLaMaQuantizedTensor': - # Old versions of GPTQ-for-LLaMa shared scales and addends between all the - # columns in a row. Newer versions share them between every set of N - # columns in a row, where N is the `groupsize` parameter, usually 128. The - # output format shares them between every set of 32 columns. To handle - # this, duplicate scales and addends for every smaller group. - # (In the above, 'row' and 'column' are in the sense of the output.) - assert self.g_idx is None - old_groupsize = self.groupsize() - assert old_groupsize >= new_groupsize and old_groupsize % new_groupsize == 0, old_groupsize - ret = copy.copy(self) - ret.addends = self.addends.repeat(old_groupsize // new_groupsize, axis=1) - ret.scales = self.scales.repeat(old_groupsize // new_groupsize, axis=1) - ret.data_type = QuantizedDataType(groupsize=new_groupsize, have_addends=True, have_g_idx=False) - return ret - - def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> Tensor: - return DeferredPermutedTensor(self, n_head, n_kv_head) - - def to_ggml(self) -> GGMLQuantizedTensor: - # The output format looks like this: - # For each row: - # For each group of 32 columns: - # - addend (float32, 4 bytes) - # - scale (float32, 4 bytes) - # - weights (int4 * 32, 16 bytes) - - if self.groupsize() != 32: - raise Exception("should have been regrouped before converting to ggml") - - # Since the output format is mixed between integers and floats, we have - # to hackily view the floats as int32s just so numpy will let us - # concatenate them. - addends_view = self.addends.view(dtype=np.int32)[:, :, np.newaxis] - scales_view = self.scales.view(dtype=np.int32)[:, :, np.newaxis] - - # Split into groups of 4 columns (i.e. 32 columns of quantized data): - grouped = self.qweight.reshape([self.qweight.shape[0], self.qweight.shape[1] // 4, 4]) - - # And concatenate: - grouped = np.concatenate([scales_view, addends_view, grouped], axis=2, casting='no') - - return GGMLQuantizedTensor(grouped, self.shape, DT_Q4_1) - - -@dataclass -class LazyTensor: - _load: Callable[[], Tensor] - shape: List[int] - data_type: DataType - description: str - - def load(self) -> Tensor: - ret = self._load() - assert ret.data_type == self.data_type, (self.data_type, ret.data_type, self.description) - return ret - - def astype(self, data_type: DataType) -> 'LazyTensor': - self.validate_conversion_to(data_type) - - def load() -> Tensor: - return self.load().astype(data_type) - return LazyTensor(load, self.shape, data_type, f'convert({data_type}) {self.description}') - - def validate_conversion_to(self, data_type: DataType) -> None: - if data_type == self.data_type: - return - if isinstance(data_type, QuantizedDataType): - if not isinstance(self.data_type, QuantizedDataType): - raise Exception(f"Can't turn an unquantized tensor into a quantized type ({data_type})") - if self.data_type.have_g_idx: - sys.stderr.write( - "Error: Input uses the newer GPTQ-for-LLaMa format (using g_idx), " - "which is not yet natively supported by GGML. " - "For now you can still convert this model by passing `--outtype f16` to dequantize, " - "but that will result in a much larger output file for no quality benefit.\n") - sys.exit(1) - assert not data_type.have_g_idx and self.data_type.have_addends and data_type.have_addends - - -LazyModel = Dict[str, LazyTensor] - - -@dataclass -class ModelPlus: - model: LazyModel - paths: List[Path] # Where this was read from. - format: Literal['ggml', 'torch', 'safetensors'] - vocab: Optional[Vocab] # For GGML models (which have vocab built in), the vocab. - - -def merge_sharded(models: List[LazyModel]) -> LazyModel: - # Original LLaMA models have each file contain one part of each tensor. - # Use a dict instead of a set to preserve order. - names = {name: None for model in models for name in model} - - def convert(name: str) -> LazyTensor: - lazy_tensors: List[LazyTensor] = [model[name] for model in models] - if len(lazy_tensors) == 1: - # only one file; don't go through this procedure since there might - # be quantized tensors - return lazy_tensors[0] - if len(lazy_tensors[0].shape) == 1: - # the tensor is just duplicated in every file - return lazy_tensors[0] - if name.startswith('tok_embeddings.') or \ - name.endswith('.attention.wo.weight') or \ - name.endswith('.feed_forward.w2.weight'): - # split by columns - axis = 1 - else: - # split by rows - axis = 0 - concatenated_shape = list(lazy_tensors[0].shape) - concatenated_shape[axis] = sum(tensor.shape[axis] for tensor in lazy_tensors) - - def load() -> UnquantizedTensor: - ndarrays = [load_unquantized(tensor) for tensor in lazy_tensors] - concatenated: NDArray = np.concatenate(ndarrays, axis=axis) - return UnquantizedTensor(concatenated) - description = 'concatenated[[' + '] | ['.join(lt.description for lt in lazy_tensors) + ']]' - return LazyTensor(load, concatenated_shape, lazy_tensors[0].data_type, description) - return {name: convert(name) for name in names} - - -def merge_multifile_models(models_plus: List[ModelPlus]) -> ModelPlus: - formats = set(mp.format for mp in models_plus) - assert len(formats) == 1, "different formats?" - format = formats.pop() - paths = [path for mp in models_plus for path in mp.paths] - # Use the first non-None vocab, if any. - try: - vocab = next(mp.vocab for mp in models_plus if mp.vocab is not None) - except StopIteration: - vocab = None - - if any("model.embed_tokens.weight" in mp.model for mp in models_plus): - # Transformers models put different tensors in different files, but - # don't split indivdual tensors between files. - model: LazyModel = {} - for mp in models_plus: - model.update(mp.model) - else: - model = merge_sharded([mp.model for mp in models_plus]) - - return ModelPlus(model, paths, format, vocab) - - -def permute_lazy(lazy_tensor: LazyTensor, n_head: int, n_kv_head: Optional[int] = None) -> LazyTensor: - def load() -> Tensor: - return lazy_tensor.load().permute(n_head, n_kv_head) - return LazyTensor(load, lazy_tensor.shape, lazy_tensor.data_type, f'permute({n_head}, {n_kv_head}) ' + lazy_tensor.description) - -def permute_part_lazy(lazy_tensor: LazyTensor, n_part: int, n_head: int) -> LazyTensor: - def load() -> Tensor: - return lazy_tensor.load().permute_part(n_part, n_head) - s = lazy_tensor.shape.copy() - s[0] = s[0] // 3 - return LazyTensor(load, s, lazy_tensor.data_type, f'permute({n_head}) ' + lazy_tensor.description) - -def part_lazy(lazy_tensor: LazyTensor, n_part: int) -> LazyTensor: - def load() -> Tensor: - return lazy_tensor.load().part(n_part) - s = lazy_tensor.shape.copy() - s[0] = s[0] // 3 - return LazyTensor(load, s, lazy_tensor.data_type, 'part ' + lazy_tensor.description) - -def convert_transformers_to_orig(model: LazyModel, params: Params) -> LazyModel: - out: LazyModel = {} - out["tok_embeddings.weight"] = model["model.embed_tokens.weight"] - out["norm.weight"] = model["model.norm.weight"] - out["output.weight"] = model["lm_head.weight"] - - for i in itertools.count(): - if f"model.layers.{i}.self_attn.q_proj.weight" in model: - out[f"layers.{i}.attention.wq.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.q_proj.weight"], params.n_head) - out[f"layers.{i}.attention.wk.weight"] = permute_lazy(model[f"model.layers.{i}.self_attn.k_proj.weight"], params.n_head, params.n_kv_head) - out[f"layers.{i}.attention.wv.weight"] = model[f"model.layers.{i}.self_attn.v_proj.weight"] - elif f"model.layers.{i}.self_attn.W_pack.weight" in model: - out[f"layers.{i}.attention.wq.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 0, params.n_head) - out[f"layers.{i}.attention.wk.weight"] = permute_part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 1, params.n_head) - out[f"layers.{i}.attention.wv.weight"] = part_lazy(model[f"model.layers.{i}.self_attn.W_pack.weight"], 2) - else: - break - - out[f"layers.{i}.attention.wo.weight"] = model[f"model.layers.{i}.self_attn.o_proj.weight"] - - out[f"layers.{i}.feed_forward.w1.weight"] = model[f"model.layers.{i}.mlp.gate_proj.weight"] - out[f"layers.{i}.feed_forward.w2.weight"] = model[f"model.layers.{i}.mlp.down_proj.weight"] - out[f"layers.{i}.feed_forward.w3.weight"] = model[f"model.layers.{i}.mlp.up_proj.weight"] - - out[f"layers.{i}.attention_norm.weight"] = model[f"model.layers.{i}.input_layernorm.weight"] - out[f"layers.{i}.ffn_norm.weight"] = model[f"model.layers.{i}.post_attention_layernorm.weight"] - return out - - -def handle_quantization(model: LazyModel) -> LazyModel: - '''Convert a model with entries for 'foo.qweight', 'foo.scales', etc. - (which resolve to UnquantizedTensors with the raw data) to one with entries - for 'foo.weight' (which resolve to QuantizedTensors). - ''' - def convert(name: str) -> Tuple[str, LazyTensor]: - if name.endswith(".qweight"): - namebase = name.rsplit('.', 1)[0] - orig_name = namebase + ".weight" - - lazy_tensor = model[name] - assert len(lazy_tensor.shape) == 2 - real_shape = [lazy_tensor.shape[1], lazy_tensor.shape[0] * 8] - - # Calculate type. This replicates the logic in - # GPTQForLLaMaQuantizedTensor (which is executed when the modelis - # actually loaded). - lazy_scales = model[f"{namebase}.scales"] - scales_width = 1 if lazy_scales.shape[1] == 1 else lazy_scales.shape[0] - assert real_shape[1] % scales_width == 0 - groupsize = real_shape[1] // scales_width - have_g_idx = f"{namebase}.g_idx" in model - data_type = QuantizedDataType(groupsize=groupsize, have_addends=True, have_g_idx=have_g_idx) - - def load() -> Tensor: - return GPTQForLLaMaQuantizedTensor(model, namebase) - - return (orig_name, LazyTensor(load, real_shape, data_type, '[quantized]')) - else: - return (name, model[name]) - return dict(convert(name) for name in model) - -# Functionality that simulates `torch.load` but where individual tensors are -# only loaded into memory on demand, not all at once. -# PyTorch can't do this natively as of time of writing: -# - https://github.com/pytorch/pytorch/issues/64327 -# This allows us to de-shard without multiplying RAM usage, and also -# conveniently drops the PyTorch dependency (though we still need numpy). - - -@dataclass -class LazyStorageKind: - data_type: DataType - - -@dataclass -class LazyStorage: - load: Callable[[int, int], NDArray] - kind: LazyStorageKind - description: str - - -class LazyUnpickler(pickle.Unpickler): - def __init__(self, fp: IO[bytes], data_base_path: str, zip_file: zipfile.ZipFile): - super().__init__(fp) - self.data_base_path = data_base_path - self.zip_file = zip_file - - def persistent_load(self, pid: Any) -> Any: - assert pid[0] == 'storage' - assert isinstance(pid[1], LazyStorageKind) - data_type = pid[1].data_type - filename_stem = pid[2] - filename = self.data_base_path + '/' + filename_stem - info = self.zip_file.getinfo(filename) - - def load(offset: int, elm_count: int) -> NDArray: - dtype = DATA_TYPE_TO_NUMPY.get(data_type) - if dtype is None: - raise Exception("tensor stored in unsupported format") - fp = self.zip_file.open(info) - fp.seek(offset * dtype.itemsize) - size = elm_count * dtype.itemsize - data = fp.read(size) - assert len(data) == size - return np.frombuffer(data, dtype) - description = f'storage data_type={data_type} path-in-zip={filename} path={self.zip_file.filename}' - return LazyStorage(load=load, kind=pid[1], description=description) - - # @staticmethod - def lazy_rebuild_tensor_v2(storage: Any, storage_offset: Any, size: Any, stride: Any, - # pyright: ignore[reportSelfClsParameterName] - requires_grad: Any, backward_hooks: Any, metadata: Any = None) -> LazyTensor: - assert isinstance(storage, LazyStorage) - - def load() -> UnquantizedTensor: - elm_count = stride[0] * size[0] - return UnquantizedTensor(storage.load(storage_offset, elm_count).reshape(size)) - description = f'pickled storage_offset={storage_offset} in {storage.description}' - return LazyTensor(load, list(size), storage.kind.data_type, description) - - # @staticmethod - def rebuild_from_type_v2(func, new_type, args, state): - return func(*args) - - CLASSES: Dict[Any, Any] = { - ('torch._tensor', '_rebuild_from_type_v2'): rebuild_from_type_v2, - ('torch._utils', '_rebuild_tensor_v2'): lazy_rebuild_tensor_v2, - ('torch', 'BFloat16Storage'): LazyStorageKind(DT_BF16), - ('torch', 'HalfStorage'): LazyStorageKind(DT_F16), - ('torch', 'FloatStorage'): LazyStorageKind(DT_F32), - ('torch', 'IntStorage'): LazyStorageKind(DT_I32), - ('torch', 'Tensor'): LazyTensor, - } - - def find_class(self, module: str, name: str) -> Any: - if not module.startswith('torch'): - return super().find_class(module, name) - return self.CLASSES[(module, name)] - - -def lazy_load_torch_file(outer_fp: IO[bytes], path: Path) -> ModelPlus: - zf = zipfile.ZipFile(outer_fp) - pickle_paths = [name for name in zf.namelist() if name.endswith('.pkl')] - assert len(pickle_paths) == 1, pickle_paths - pickle_fp = zf.open(pickle_paths[0], 'r') - unpickler = LazyUnpickler(pickle_fp, - data_base_path=pickle_paths[0][:-4], - zip_file=zf) - model = unpickler.load() - as_dict = dict(model.items()) - return ModelPlus(model=as_dict, paths=[path], format='torch', vocab=None) - - -SAFETENSORS_DATA_TYPES: Dict[str, DataType] = { - 'BF16': DT_BF16, - 'F16': DT_F16, - 'F32': DT_F32, - 'I32': DT_I32, -} - - -def lazy_load_safetensors_file(fp: IO[bytes], path: Path) -> ModelPlus: - header_size, = struct.unpack(' LazyTensor: - data_type = SAFETENSORS_DATA_TYPES[info['dtype']] - numpy_dtype = DATA_TYPE_TO_NUMPY[data_type] - shape: List[int] = info['shape'] - begin, end = info['data_offsets'] - assert 0 <= begin <= end <= len(byte_buf) - assert end - begin == math.prod(shape) * numpy_dtype.itemsize - buf = byte_buf[begin:end] - - def load() -> UnquantizedTensor: - return UnquantizedTensor(np.frombuffer(buf, dtype=numpy_dtype).reshape(shape)) - description = f'safetensors begin={begin} end={end} type={data_type} path={path}' - return LazyTensor(load, shape, data_type, description) - model = {name: convert(info) for (name, info) in header.items() if name != '__metadata__'} - return ModelPlus(model=model, paths=[path], format='safetensors', vocab=None) - - -def must_read(fp: IO[bytes], length: int) -> bytes: - ret = fp.read(length) - if len(ret) < length: - raise Exception("unexpectedly reached end of file") - return ret - - -def lazy_load_ggml_file(fp: io.BufferedReader, path: Path) -> ModelPlus: - magic = must_read(fp, 4)[::-1] - if magic in (b'ggmf', b'ggjt'): - version, = struct.unpack("i", must_read(fp, 4)) - assert version == 1 - else: - assert magic == b'ggml' - version = None - n_vocab, n_embd, n_mult, n_head, n_layer, rot, file_type = struct.unpack('<7i', must_read(fp, 28)) - - tokens: List[Tuple[bytes, float]] = [] - for i in range(n_vocab): - if i == 32000: - # HACK: GPT4All messed with the format without changing the magic - # number. Specifically, they changed the vocab section to contain - # `n_vocab - 1` tokens instead of `n_vocab` (i.e. omitting the - # extra pad token). Try to detect if we're reading a file like - # this. - orig_pos = fp.tell() - fp.seek(20, io.SEEK_CUR) - is_gpt4all = fp.read(21) == b'tok_embeddings.weight' - fp.seek(orig_pos) - if is_gpt4all: - break - - length, = struct.unpack("i", must_read(fp, 4)) - text = must_read(fp, length) - if magic != b'ggml': - score, = struct.unpack("f", must_read(fp, 4)) - tokens.append((text, score)) - vocab = GGMLVocab(tokens) if magic != b'ggml' else None - - model: LazyModel = {} - # Use mmap for the actual data to avoid race conditions with the file offset. - off = fp.raw.tell() - mapped = memoryview(mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ)) - fp.raw.seek(off) # needed on Windows - - def read_tensor() -> None: # this is a function so that variables captured in `load` don't change - shape_len, name_len, ftype = struct.unpack("iii", must_read(fp, 12)) - assert 0 <= shape_len <= 3 - shape: List[int] = list(struct.unpack(f"{shape_len}i", must_read(fp, 4 * shape_len))) - shape = shape[::-1] - name = must_read(fp, name_len).decode('utf-8') - data_type = FTYPE_TO_DATA_TYPE[ftype] - - if magic == b'ggjt': - fp.seek((fp.tell() + 31) & -32) - - if data_type == DT_Q4_1: - # See GPTQForLLaMaQuantizedTensor.ggml_ndarray() - size = 24 * (shape[1] // 32) * shape[0] - elif data_type == DT_Q4_0: - size = 20 * (shape[1] // 32) * shape[0] - else: - numpy_dtype = DATA_TYPE_TO_NUMPY[data_type] - elm_count = math.prod(shape) - size = elm_count * numpy_dtype.itemsize - offset = fp.tell() - buf = mapped[offset:offset+size] - fp.seek(size, io.SEEK_CUR) - - def load() -> Tensor: - if isinstance(data_type, QuantizedDataType): - ndarray = np.frombuffer(buf, dtype=np.uint32) - return GGMLQuantizedTensor(ndarray, shape, data_type) - else: - return UnquantizedTensor(np.frombuffer(buf, dtype=numpy_dtype).reshape(shape)) - description = f'ggml offset={offset} type={data_type} path={path}' - model[name] = LazyTensor(load, shape, data_type, description) - - while fp.read(1) != b'': - fp.seek(-1, io.SEEK_CUR) - read_tensor() - - return ModelPlus(model=model, paths=[path], format='ggml', vocab=vocab) - - -@functools.lru_cache(maxsize=None) -def lazy_load_file(path: Path) -> ModelPlus: - fp = open(path, 'rb') - first8 = fp.read(8) - fp.seek(0) - if first8[:2] == b'PK': - # A zip file, i.e. PyTorch format - return lazy_load_torch_file(fp, path) - elif first8[2:4] == b'gg': - # GGML format - return lazy_load_ggml_file(fp, path) - elif struct.unpack(' Iterable[Out]: - '''Parallel map, but with backpressure. If the caller doesn't call `next` - fast enough, this will stop calling `func` at some point rather than - letting results pile up in memory. Specifically, there is a max of one - output value buffered per thread.''' - with concurrent.futures.ThreadPoolExecutor() as executor: - futures: List[concurrent.futures.Future[Out]] = [] - items_rev = list(iterable)[::-1] - for i in range(min(concurrency, len(items_rev))): - futures.append(executor.submit(func, items_rev.pop())) - while futures: - result = futures.pop(0).result() - if items_rev: - futures.append(executor.submit(func, items_rev.pop())) - yield result - - -def check_vocab_size(params: Params, vocab: Vocab) -> None: - if params.n_vocab != vocab.vocab_size: - # GGMLVocab comes from the same file as the model so shouldn't mismatch: - assert isinstance(vocab, SentencePieceVocab) - if params.n_vocab == vocab.vocab_size_base: - print("Ignoring added_tokens.json since model matches vocab size without it.") - vocab.added_tokens_list = [] - vocab.vocab_size = vocab.vocab_size_base - return - msg = f"Vocab size mismatch (model has {params.n_vocab}, but {vocab.fname_tokenizer}" - if vocab.fname_added_tokens is not None: - msg += f" combined with {vocab.fname_added_tokens}" - msg += f" has {vocab.vocab_size})." - if vocab.vocab_size < params.n_vocab < vocab.vocab_size + 20 and vocab.fname_added_tokens is None: - msg += f" Most likely you are missing added_tokens.json (should be in {vocab.fname_tokenizer.parent})." - raise Exception(msg) - - -class OutputFile: - def __init__(self, fname_out: Path) -> None: - self.fout = open(fname_out, "wb") - - def write_file_header(self, params: Params, file_type: GGMLFileType) -> None: - self.fout.write(b"ggjt"[::-1]) # magic - values = [ - 1, # file version - params.n_vocab, - params.n_embd, - params.n_mult, - params.n_head, - params.n_layer, - params.n_embd // params.n_head, # rot (obsolete) - file_type.value, - ] - self.fout.write(struct.pack("i" * len(values), *values)) - - def write_tensor_header(self, name: str, shape: Sequence[int], data_type: DataType) -> None: - sname = name.encode('utf-8') - self.fout.write(struct.pack("iii", len(shape), len(sname), DATA_TYPE_TO_FTYPE[data_type])) - self.fout.write(struct.pack("i" * len(shape), *shape[::-1])) - self.fout.write(sname) - self.fout.seek((self.fout.tell() + 31) & -32) - - def write_vocab(self, vocab: Vocab) -> None: - for text, score in vocab.all_tokens(): - self.fout.write(struct.pack("i", len(text))) - self.fout.write(text) - self.fout.write(struct.pack("f", score)) - - @staticmethod - def write_vocab_only(fname_out: Path, vocab: Vocab) -> None: - of = OutputFile(fname_out) - params = Params(n_vocab=vocab.vocab_size, n_embd=0, n_mult=0, n_head=1, n_layer=0) - of = OutputFile(fname_out) - of.write_file_header(params, file_type=GGMLFileType.AllF32) - of.write_vocab(vocab) - of.fout.close() - - @staticmethod - def write_all(fname_out: Path, params: Params, file_type: GGMLFileType, model: LazyModel, vocab: Vocab) -> None: - check_vocab_size(params, vocab) - of = OutputFile(fname_out) - of.write_file_header(params, file_type) - print("Writing vocab...") - of.write_vocab(vocab) - - def do_item(item: Tuple[str, LazyTensor]) -> NDArray: - name, lazy_tensor = item - return lazy_tensor.load().to_ggml().ndarray - - ndarrays = bounded_parallel_map(do_item, model.items(), concurrency=8) - for i, ((name, lazy_tensor), ndarray) in enumerate(zip(model.items(), ndarrays)): - size = ' x '.join(f"{dim:6d}" for dim in lazy_tensor.shape) - padi = len(str(len(model))) - print(f"[{i+1:{padi}d}/{len(model)}] Writing tensor {name:38s} | size {size:16} | type {lazy_tensor.data_type}") - of.write_tensor_header(name, lazy_tensor.shape, lazy_tensor.data_type) - ndarray.tofile(of.fout) - of.fout.close() - - -def pick_output_type(model: LazyModel, output_type_str: Optional[str]) -> GGMLFileType: - wq_type = model["layers.0.attention.wq.weight"].data_type - if output_type_str == "f32" or (output_type_str is None and wq_type in (DT_F32, DT_BF16)): - return GGMLFileType.AllF32 - if output_type_str == "f16" or (output_type_str is None and wq_type == DT_F16): - return GGMLFileType.MostlyF16 - if output_type_str == "q4_1" or (output_type_str is None and isinstance(wq_type, QuantizedDataType) and - wq_type.have_addends): - if isinstance(model["output.weight"].data_type, QuantizedDataType): - return GGMLFileType.MostlyQ4_1 - else: - return GGMLFileType.PerLayerIsQ4_1 - if output_type_str == "q4_0" or (output_type_str is None and isinstance(wq_type, QuantizedDataType)): - return GGMLFileType.MostlyQ4_0 - name_to_type = {name: lazy_tensor.data_type for (name, lazy_tensor) in model.items()} - raise Exception(f"Unexpected combination of types: {name_to_type}") - - -def do_necessary_conversions(model: LazyModel, params: Params) -> LazyModel: - model = handle_quantization(model) - - if "lm_head.weight" in model: - model = convert_transformers_to_orig(model, params) - model = filter_and_sort_tensors(model) - - return model - - -def convert_to_output_type(model: LazyModel, output_type: GGMLFileType) -> LazyModel: - return {name: tensor.astype(output_type.type_for_tensor(name, tensor)) - for (name, tensor) in model.items()} - - -def nth_multifile_path(path: Path, n: int) -> Optional[Path]: - '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return - the nth path in the model. - ''' - # Support the following patterns: - patterns: List[Tuple[str, str]] = [ - # - x.00.pth, x.01.pth, etc. - (r'\.[0-9]{2}\.pth$', f'.{n:02}.pth'), - # - x-00001-of-00002.bin, x-00002-of-00002.bin, etc. - (r'-[0-9]{5}-of-(.*)$', fr'-{n:05}-of-\1'), - # x.bin, x.bin.1, etc. - (r'(\.[0-9]+)?$', r'\1' if n == 0 else fr'\1.{n}') - ] - for regex, replacement in patterns: - if re.search(regex, path.name): - new_path = path.with_name(re.sub(regex, replacement, path.name)) - if new_path.exists(): - return new_path - return None - - -def find_multifile_paths(path: Path) -> List[Path]: - '''Given any path belonging to a multi-file model (e.g. foo.bin.1), return - the whole list of paths in the model. - ''' - ret: List[Path] = [] - for i in itertools.count(): - nth_path = nth_multifile_path(path, i) - if nth_path is None: - break - ret.append(nth_path) - if not ret: - # No matches. This should only happen if the file was named, e.g., - # foo.0, and there was no file named foo. Oh well, try to process it - # as a single file. - return [path] - return ret - - -def load_some_model(path: Path) -> ModelPlus: - '''Load a model of any supported format.''' - # Be extra-friendly and accept either a file or a directory: - if path.is_dir(): - # Check if it's a set of safetensors files first - files = list(path.glob("model-00001-of-*.safetensors")) - if not files: - # Try the PyTorch patterns too, with lower priority - globs = ["consolidated.00.pth", "pytorch_model-00001-of-*.bin", "*.pt", "pytorch_model.bin"] - files = [file for glob in globs for file in path.glob(glob)] - if not files: - # Try GGML too, but with lower priority, since if both a non-GGML - # model and a GGML model exist in the same directory, we assume the - # latter was converted from the former. - files = list(path.glob("ggml-model*.bin*")) - if not files: - raise Exception(f"Can't find model in directory {path}") - if len(files) > 1: - raise Exception(f"Found multiple models in {path}, not sure which to pick: {files}") - path = files[0] - - paths = find_multifile_paths(path) - models_plus: List[ModelPlus] = [] - for path in paths: - print(f"Loading model file {path}") - models_plus.append(lazy_load_file(path)) - - model_plus = merge_multifile_models(models_plus) - return model_plus - - -def filter_and_sort_tensors(model: LazyModel) -> LazyModel: - return {name: model[name] for name in TENSORS_LIST if name in model} - - -def load_vocab(path: Path, vocabtype: Optional[str]) -> SentencePieceVocab: - print(f"vocabtype: {vocabtype}") - # Be extra-friendly and accept either a file or a directory. Also, if it's - # a directory, it might be the model directory, and tokenizer.model might - # be in the parent of that. - if path.is_dir(): - vocab_file = "tokenizer.model" - if vocabtype == 'bpe': - vocab_file = "vocab.json" - path2 = path / vocab_file - # Use `.parent` instead of /.. to handle the symlink case better. - path3 = path.parent / vocab_file - if path2.exists(): - path = path2 - elif path3.exists(): - path = path3 - else: - raise FileNotFoundError( - f"Could not find tokenizer.model in {path} or its parent; " - "if it's in another directory, pass the directory as --vocab-dir") - added_tokens_path = path.parent / "added_tokens.json" - print(f"Loading vocab file {path}") - return SentencePieceVocab(path, added_tokens_path if added_tokens_path.exists() else None, - vocabtype) - - -def default_outfile(model_paths: List[Path], file_type: GGMLFileType) -> Path: - namestr = { - GGMLFileType.AllF32: "f32", - GGMLFileType.MostlyF16: "f16", - GGMLFileType.MostlyQ4_0: "q4_0", - GGMLFileType.MostlyQ4_1: "q4_1", - GGMLFileType.PerLayerIsQ4_1: "q4_1", - }[file_type] - ret = model_paths[0].parent / f"ggml-model-{namestr}.bin" - if ret in model_paths: - sys.stderr.write( - f"Error: Default output path ({ret}) would overwrite the input. " - "Please explicitly specify a path using --outfile.\n") - sys.exit(1) - return ret - - -def do_dump_model(model_plus: ModelPlus) -> None: - print(f"model_plus.paths = {model_plus.paths!r}") - print(f"model_plus.format = {model_plus.format!r}") - print(f"model_plus.vocab = {model_plus.vocab!r}") - for name, lazy_tensor in model_plus.model.items(): - print(f"{name}: shape={lazy_tensor.shape} type={lazy_tensor.data_type}; {lazy_tensor.description}") - - -def main(args_in: Optional[List[str]] = None) -> None: - parser = argparse.ArgumentParser(description="Convert a LLaMa model to a GGML compatible file") - parser.add_argument("--dump", action="store_true", help="don't convert, just show what's in the model") - parser.add_argument("--dump-single", action="store_true", help="don't convert, just show what's in a single model file") - parser.add_argument("--vocab-only", action="store_true", help="extract only the vocab") - parser.add_argument("--outtype", choices=["f32", "f16", "q4_1", "q4_0"], help="output format (default: based on input)") - parser.add_argument("--vocab-dir", type=Path, help="directory containing tokenizer.model, if separate from model file") - parser.add_argument("--outfile", type=Path, help="path to write to; default: based on input") - parser.add_argument("model", type=Path, - help="directory containing model file, or model file itself (*.pth, *.pt, *.bin)") - parser.add_argument("--vocabtype", default='spm', choices=["spm", "bpe"], help="vocab format (default: spm)") - args = parser.parse_args(args_in) - - vocab: Vocab - if args.dump_single: - model_plus = lazy_load_file(args.model) - do_dump_model(model_plus) - elif args.vocab_only: - vocab = load_vocab(args.vocab_dir or args.model, args.vocabtype) - assert args.outfile, "need --outfile if using --vocab-only" - outfile = args.outfile - OutputFile.write_vocab_only(outfile, vocab) - print(f"Wrote {outfile}") - else: - model_plus = load_some_model(args.model) - if args.dump: - do_dump_model(model_plus) - return - if model_plus.vocab is not None and args.vocab_dir is None: - vocab = model_plus.vocab - else: - vocab_dir = args.vocab_dir if args.vocab_dir else model_plus.paths[0].parent - vocab = load_vocab(vocab_dir, args.vocabtype) - params = Params.load(model_plus) - model = model_plus.model - model = do_necessary_conversions(model, params) - output_type = pick_output_type(model, args.outtype) - model = convert_to_output_type(model, output_type) - outfile = args.outfile or default_outfile(model_plus.paths, output_type) - OutputFile.write_all(outfile, params, output_type, model, vocab) - print(f"Wrote {outfile}") - - -if __name__ == '__main__': - main() diff --git a/llama.cpp/docs/BLIS.md b/llama.cpp/docs/BLIS.md deleted file mode 100644 index 9b3c306..0000000 --- a/llama.cpp/docs/BLIS.md +++ /dev/null @@ -1,67 +0,0 @@ -BLIS Installation Manual ------------------------- - -BLIS is a portable software framework for high-performance BLAS-like dense linear algebra libraries. It has received awards and recognition, including the 2023 James H. Wilkinson Prize for Numerical Software and the 2020 SIAM Activity Group on Supercomputing Best Paper Prize. BLIS provides a new BLAS-like API and a compatibility layer for traditional BLAS routine calls. It offers features such as object-based API, typed API, BLAS and CBLAS compatibility layers. - -Project URL: https://github.com/flame/blis - -### Prepare: - -Compile BLIS: - -```bash -git clone https://github.com/flame/blis -cd blis -./configure --enable-cblas -t openmp,pthreads auto -# will install to /usr/local/ by default. -make -j -``` - -Install BLIS: - -```bash -sudo make install -``` - -We recommend using openmp since it's easier to modify the cores been used. - -### llama.cpp compilation - -Makefile: - -```bash -make LLAMA_BLIS=1 -j -# make LLAMA_BLIS=1 benchmark-matmult -``` - -CMake: - -```bash -mkdir build -cd build -cmake -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=FLAME .. -make -j -``` - -### llama.cpp execution - -According to the BLIS documentation, we could set the following -environment variables to modify the behavior of openmp: - -``` -export GOMP_GPU_AFFINITY="0-19" -export BLIS_NUM_THREADS=14 -``` - -And then run the binaries as normal. - - -### Intel specific issue - -Some might get the error message saying that `libimf.so` cannot be found. -Please follow this [stackoverflow page](https://stackoverflow.com/questions/70687930/intel-oneapi-2022-libimf-so-no-such-file-or-directory-during-openmpi-compila). - -### Reference: - -1. https://github.com/flame/blis#getting-started -2. https://github.com/flame/blis/blob/master/docs/Multithreading.md diff --git a/llama.cpp/docs/token_generation_performance_tips.md b/llama.cpp/docs/token_generation_performance_tips.md deleted file mode 100644 index 69ba617..0000000 --- a/llama.cpp/docs/token_generation_performance_tips.md +++ /dev/null @@ -1,40 +0,0 @@ -# Token generation performance troubleshooting - -## Verifying that the model is running on the GPU with cuBLAS -Make sure you compiled llama with the correct env variables according to [this guide](../README.md#cublas), so that llama accepts the `-ngl N` (or `--n-gpu-layers N`) flag. When running llama, you may configure `N` to be very large, and llama will offload the maximum possible number of layers to the GPU, even if it's less than the number you configured. For example: -```shell -./main -m "path/to/model.bin" -ngl 200000 -p "Please sir, may I have some " -``` - -When running llama, before it starts the inference work, it will output diagnostic information that shows whether cuBLAS is offloading work to the GPU. Look for these lines: -```shell -llama_model_load_internal: [cublas] offloading 60 layers to GPU -llama_model_load_internal: [cublas] offloading output layer to GPU -llama_model_load_internal: [cublas] total VRAM used: 17223 MB -... rest of inference -``` - -If you see these lines, then the GPU is being used. - -## Verifying that the CPU is not oversaturated -llama accepts a `-t N` (or `--threads N`) parameter. It's extremely important that this parameter is not too large. If your token generation is extremely slow, try setting this number to 1. If this significantly improves your token generation speed, then your CPU is being oversaturated and you need to explicitly set this parameter to the number of the physicial CPU cores on your machine (even if you utilize a GPU). If in doubt, start with 1 and double the amount until you hit a performance bottleneck, then scale the number down. - -# Example of runtime flags effect on inference speed benchmark -These runs were tested on the following machine: -GPU: A6000 (48GB VRAM) -CPU: 7 physical cores -RAM: 32GB - -Model: `TheBloke_Wizard-Vicuna-30B-Uncensored-GGML/Wizard-Vicuna-30B-Uncensored.ggmlv3.q4_0.bin` (30B parameters, 4bit quantization, GGML) - -Run command: `./main -m "path/to/model.bin" -p "-p "An extremely detailed description of the 10 best ethnic dishes will follow, with recipes: " -n 1000 [additional benchmark flags]` - -Result: - -| command | tokens/second (higher is better) | -| - | - | -| -ngl 2000000 | N/A (less than 0.1) | -| -t 7 | 1.7 | -| -t 1 -ngl 2000000 | 5.5 | -| -t 7 -ngl 2000000 | 8.7 | -| -t 4 -ngl 2000000 | 9.1 | diff --git a/llama.cpp/examples/CMakeLists.txt b/llama.cpp/examples/CMakeLists.txt deleted file mode 100644 index 4b1f1cf..0000000 --- a/llama.cpp/examples/CMakeLists.txt +++ /dev/null @@ -1,51 +0,0 @@ -# dependencies - -find_package(Threads REQUIRED) - -# third-party - -# ... - -# common - -set(TARGET common) - -add_library(${TARGET} OBJECT - common.h - common.cpp - grammar-parser.h - grammar-parser.cpp - ) - -if (BUILD_SHARED_LIBS) - set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON) -endif() - -target_include_directories(${TARGET} PUBLIC .) -target_compile_features(${TARGET} PUBLIC cxx_std_11) -target_link_libraries(${TARGET} PRIVATE llama) - -# examples - -include_directories(${CMAKE_CURRENT_SOURCE_DIR}) - -if (EMSCRIPTEN) -else() - add_subdirectory(main) - add_subdirectory(quantize) - add_subdirectory(quantize-stats) - add_subdirectory(perplexity) - add_subdirectory(embedding) - add_subdirectory(save-load-state) - add_subdirectory(benchmark) - add_subdirectory(baby-llama) - add_subdirectory(train-text-from-scratch) - add_subdirectory(simple) - add_subdirectory(embd-input) - if (LLAMA_METAL) - add_subdirectory(metal) - endif() - if (LLAMA_BUILD_SERVER) - add_subdirectory(server) - endif() -endif() diff --git a/llama.cpp/examples/Miku.sh b/llama.cpp/examples/Miku.sh deleted file mode 100755 index b9174b4..0000000 --- a/llama.cpp/examples/Miku.sh +++ /dev/null @@ -1,50 +0,0 @@ -#!/bin/bash -set -e - -AI_NAME="${AI_NAME:-Miku}" -MODEL="${MODEL:-./models/llama-2-7b-chat.ggmlv3.q4_K_M.bin}" -USER_NAME="${USER_NAME:-Anon}" - -# Uncomment and adjust to the number of CPU cores you want to use. -#N_THREAD="${N_THREAD:-4}" -CTX_SIZE="${CTX_SIZE:-4096}" -N_PREDICTS="${N_PREDICTS:-4096}" - -GEN_OPTIONS=(--batch_size 1024 ---ctx_size "$CTX_SIZE" ---keep -1 ---repeat_last_n 256 ---repeat_penalty 1.17647 ---temp 0.6 ---mirostat 2) - -if [ -n "$N_THREAD" ]; then - GEN_OPTIONS+=(--threads "$N_THREAD") -fi - -./main "${GEN_OPTIONS[@]}" \ - --model "$MODEL" \ - --in-prefix " " \ - --in-suffix "${AI_NAME}:" \ - --n_predict "$N_PREDICTS" \ - --color --interactive \ - --reverse-prompt "${USER_NAME}:" \ - --prompt "This is a transcript of a 1000 page, never ending conversation between ${USER_NAME} and the cute and helpful AI assistant ${AI_NAME}. ${AI_NAME} is a girl who is an AI running on the user's computer. -${AI_NAME} can think for herself without the user seeing her thoughts by adding a /think prefix to her output. She uses this to reason about the world and to think about what she should say next. -${AI_NAME} is always coherent and makes sense, but if she isn't sure if what she is saying is correct, she will ask the user for help. -${AI_NAME} is a very helpful AI and will help the user with anything they need. She is also very friendly and will try to make the user feel better if they are sad. -${AI_NAME} is also very curious and will ask the user a lot of questions about themselves and their life. She will also try to make the user like her. -The conversation is only between ${USER_NAME} and ${AI_NAME}. -The conversation is only through text, so ${AI_NAME} can't see ${USER_NAME}'s face or hear his voice. -${AI_NAME} can only communicate through text, so she can't send images or videos. - - -${USER_NAME}: Hello! -${AI_NAME}: /think I wonder what I should say to ${USER_NAME}? This is the first time we talk, so it's important that I make a good first impression! -${AI_NAME}: Hi! I am ${AI_NAME}, your new AI friend, assistant (or whatever you like!), it's so nice to meet you! ^_^ -${AI_NAME}: I might be an AI, but I also have feelings, so please be nice to me! :) -${USER_NAME}: I'll make sure to be nice to you! I'm so happy to have you as my assistant! -${AI_NAME}: /think It sounds like ${USER_NAME} is happy to have me as their assistant! I'm so happy too! ^_^ Glad that whole emotion thing didn't scare him off! -${AI_NAME}: /think I wonder what ${USER_NAME} likes to do in his free time? I should ask him about that! -${AI_NAME}: What do you like to do in your free time? ^_^ -${USER_NAME}:" "$@" diff --git a/llama.cpp/examples/alpaca.sh b/llama.cpp/examples/alpaca.sh deleted file mode 100755 index 8d2bae6..0000000 --- a/llama.cpp/examples/alpaca.sh +++ /dev/null @@ -1,19 +0,0 @@ -#!/bin/bash - -# -# Temporary script - will be removed in the future -# - -cd `dirname $0` -cd .. - -./main -m ./models/alpaca.13b.ggmlv3.q8_0.bin \ - --color \ - -f ./prompts/alpaca.txt \ - --ctx_size 2048 \ - -n -1 \ - -ins -b 256 \ - --top_k 10000 \ - --temp 0.2 \ - --repeat_penalty 1.1 \ - -t 7 diff --git a/llama.cpp/examples/baby-llama/CMakeLists.txt b/llama.cpp/examples/baby-llama/CMakeLists.txt deleted file mode 100644 index 7b70227..0000000 --- a/llama.cpp/examples/baby-llama/CMakeLists.txt +++ /dev/null @@ -1,5 +0,0 @@ -set(TARGET baby-llama) -add_executable(${TARGET} baby-llama.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) diff --git a/llama.cpp/examples/baby-llama/baby-llama.cpp b/llama.cpp/examples/baby-llama/baby-llama.cpp deleted file mode 100644 index 6fa55b3..0000000 --- a/llama.cpp/examples/baby-llama/baby-llama.cpp +++ /dev/null @@ -1,1714 +0,0 @@ -#include "ggml.h" -#include -#include -#include -#include - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -#ifdef LLAMA_DEFAULT_RMS_EPS -static const float rms_norm_eps = LLAMA_DEFAULT_RMS_EPS; -#else -static const float rms_norm_eps = 5e-6f; -#endif - -float frand() { - return (float)rand()/(float)RAND_MAX; -} - -struct random_normal_distribution { - std::mt19937 gen; - std::normal_distribution nd; - float min; - float max; -}; - -void init_random_normal_distribution(struct random_normal_distribution * rnd, int seed, float mean, float std, float min, float max) { - rnd->gen = std::mt19937(seed); - rnd->nd = std::normal_distribution{mean, std}; - rnd->min = min; - rnd->max = max; -} - -float frand_normal(struct random_normal_distribution * rnd) { - const float r = rnd->nd(rnd->gen); - return ((r < rnd->min) ? (rnd->min) : (r > rnd->max) ? (rnd->max) : r); -} - -void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * graph, int n_threads) { - struct ggml_cplan plan = ggml_graph_plan(graph, n_threads); - - if (plan.work_size > 0) { - buf.resize(plan.work_size); - plan.work_data = buf.data(); - } - - ggml_graph_compute(graph, &plan); -} - -struct ggml_tensor * randomize_tensor( - struct ggml_tensor * tensor, - int ndims, - const int64_t ne[], - float fmin, - float fmax) { - - switch (ndims) { - case 1: - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i0] = frand()*(fmax - fmin) + fmin; - } - break; - case 2: - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; - } - } - break; - case 3: - for (int i2 = 0; i2 < ne[2]; i2++) { - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i2*ne[1]*ne[0] + i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; - } - } - } - break; - case 4: - for (int i3 = 0; i3 < ne[3]; i3++) { - for (int i2 = 0; i2 < ne[2]; i2++) { - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i3*ne[2]*ne[1]*ne[0] + i2*ne[1]*ne[0] + i1*ne[0] + i0] = frand()*(fmax - fmin) + fmin; - } - } - } - } - break; - default: - assert(false); - }; - - return tensor; -} - -struct ggml_tensor * randomize_tensor_normal( - struct ggml_tensor * tensor, - int ndims, - const int64_t ne[], - struct random_normal_distribution * rnd) { - float scale = 1.0; // xavier - switch (ndims) { - case 1: - scale /= sqrtf(ne[0]); - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i0] = scale * frand_normal(rnd); - } - break; - case 2: - scale /= sqrtf(ne[0]+ne[1]); - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i1*ne[0] + i0] = scale * frand_normal(rnd); - } - } - break; - case 3: - scale /= sqrtf(ne[0]+ne[1]); - for (int i2 = 0; i2 < ne[2]; i2++) { - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i2*ne[1]*ne[0] + i1*ne[0] + i0] = scale * frand_normal(rnd); - } - } - } - break; - case 4: - scale /= sqrtf(ne[0]+ne[1]); - for (int i3 = 0; i3 < ne[3]; i3++) { - for (int i2 = 0; i2 < ne[2]; i2++) { - for (int i1 = 0; i1 < ne[1]; i1++) { - for (int i0 = 0; i0 < ne[0]; i0++) { - ((float *)tensor->data)[i3*ne[2]*ne[1]*ne[0] + i2*ne[1]*ne[0] + i1*ne[0] + i0] = scale * frand_normal(rnd); - } - } - } - } - break; - default: - assert(false); - }; - - return tensor; -} - -struct llama_hparams { - uint32_t n_vocab = 32000; - uint32_t n_ctx = 512; // this is provided as user input? - uint32_t n_embd = 4096; - uint32_t n_mult = 4; - uint32_t n_head = 32; - uint32_t n_layer = 32; - uint32_t n_rot = 64; - - bool operator!=(const llama_hparams & other) const { - return memcmp(this, &other, sizeof(llama_hparams)); - } -}; - -uint32_t get_n_ff(const struct llama_hparams* hparams) { - const uint32_t n_ff = ((2*(4*hparams->n_embd)/3 + hparams->n_mult - 1)/hparams->n_mult)*hparams->n_mult; - return n_ff; -} - -struct llama_hparams_lora { - uint32_t n_vocab = 32000; - uint32_t n_ctx = 512; // this is provided as user input? - uint32_t n_embd = 4096; - uint32_t n_mult = 4; - uint32_t n_head = 32; - uint32_t n_layer = 32; - uint32_t n_rot = 64; - uint32_t n_lora = 64; - - bool operator!=(const llama_hparams_lora & other) const { - return memcmp(this, &other, sizeof(llama_hparams_lora)) != 0; - } -}; - -struct llama_layer { - // normalization - struct ggml_tensor * attention_norm; - - // attention - struct ggml_tensor * wq; - struct ggml_tensor * wk; - struct ggml_tensor * wv; - struct ggml_tensor * wo; - - // normalization - struct ggml_tensor * ffn_norm; - - // ff - struct ggml_tensor * w1; - struct ggml_tensor * w2; - struct ggml_tensor * w3; -}; - -struct llama_layer_lora { - // normalization - struct ggml_tensor * attention_norm; - - // attention - struct ggml_tensor * wqa; - struct ggml_tensor * wqb; - struct ggml_tensor * wka; - struct ggml_tensor * wkb; - struct ggml_tensor * wva; - struct ggml_tensor * wvb; - struct ggml_tensor * woa; - struct ggml_tensor * wob; - - // normalization - struct ggml_tensor * ffn_norm; - - // ff - struct ggml_tensor * w1; - struct ggml_tensor * w2; - struct ggml_tensor * w3; -}; - - -struct llama_kv_cache { - struct ggml_context * ctx = NULL; - - struct ggml_tensor * k; - struct ggml_tensor * v; - - // llama_ctx_buffer buf; - - int n; // number of tokens currently in the cache -}; - -struct llama_model { - struct ggml_context * ctx = NULL; - - llama_hparams hparams; - - struct ggml_tensor * tok_embeddings; - - struct ggml_tensor * norm; - struct ggml_tensor * output; - - std::vector layers; -}; - -struct llama_model_lora { - struct ggml_context * ctx = NULL; - - llama_hparams_lora hparams; - - struct ggml_tensor * tok_embeddings; - - struct ggml_tensor * norm; - struct ggml_tensor * outputa; - struct ggml_tensor * outputb; - - std::vector layers; -}; - -void init_model(struct llama_model * model) { - const auto & hparams = model->hparams; - - const uint32_t n_embd = hparams.n_embd; - const uint32_t n_layer = hparams.n_layer; - const uint32_t n_vocab = hparams.n_vocab; - - const uint32_t n_ff = get_n_ff(&hparams); - - struct ggml_context * ctx = model->ctx; - - model->tok_embeddings = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_vocab); // ("tok_embeddings.weight", {n_embd, n_vocab}); - model->norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // ("norm.weight", {n_embd}); - model->output = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_vocab); // ("output.weight", {n_embd, n_vocab}); - - model->layers.resize(n_layer); - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - - // std::string layers_i = "layers." + std::to_string(i); - - layer.attention_norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // (layers_i + ".attention_norm.weight", {n_embd}); - - layer.wq = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_embd); // (layers_i + ".attention.wq.weight", {n_embd, n_embd}); - layer.wk = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_embd); // (layers_i + ".attention.wk.weight", {n_embd, n_embd}); - layer.wv = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_embd); // (layers_i + ".attention.wv.weight", {n_embd, n_embd}); - layer.wo = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_embd); // (layers_i + ".attention.wo.weight", {n_embd, n_embd}); - - layer.ffn_norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // (layers_i + ".ffn_norm.weight", {n_embd}); - - layer.w1 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_ff); // (layers_i + ".feed_forward.w1.weight", {n_embd, n_ff}); - layer.w2 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_ff, n_embd); // (layers_i + ".feed_forward.w2.weight", { n_ff, n_embd}); - layer.w3 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_ff); // (layers_i + ".feed_forward.w3.weight", {n_embd, n_ff}); - } -} - - -void init_model_lora(struct llama_model_lora * model) { - const auto & hparams = model->hparams; - - const uint32_t n_embd = hparams.n_embd; - const uint32_t n_mult = hparams.n_mult; - const uint32_t n_layer = hparams.n_layer; - const uint32_t n_vocab = hparams.n_vocab; - const uint32_t n_lora = hparams.n_lora; - - const uint32_t n_ff = ((2*(4*n_embd)/3 + n_mult - 1)/n_mult)*n_mult; - - struct ggml_context * ctx = model->ctx; - - model->tok_embeddings = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_vocab); // ("tok_embeddings.weight", {n_embd, n_vocab}); - model->norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // ("norm.weight", {n_embd}); - model->outputa = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_lora, n_vocab); // ("output.weight", {n_embd, n_vocab}); - model->outputb = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_lora); // ("output.weight", {n_embd, n_vocab}); - - model->layers.resize(n_layer); - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - - // std::string layers_i = "layers." + std::to_string(i); - - layer.attention_norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // (layers_i + ".attention_norm.weight", {n_embd}); - - layer.wqa = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_lora, n_embd); // (layers_i + ".attention.wq.weight", {n_embd, n_embd}); - layer.wqb = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_lora); // (layers_i + ".attention.wq.weight", {n_embd, n_embd}); - layer.wka = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_lora, n_embd); // (layers_i + ".attention.wk.weight", {n_embd, n_embd}); - layer.wkb = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_lora); // (layers_i + ".attention.wk.weight", {n_embd, n_embd}); - layer.wva = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_lora, n_embd); // (layers_i + ".attention.wv.weight", {n_embd, n_embd}); - layer.wvb = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_lora); // (layers_i + ".attention.wv.weight", {n_embd, n_embd}); - layer.woa = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_lora, n_embd); // (layers_i + ".attention.wo.weight", {n_embd, n_embd}); - layer.wob = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_lora); // (layers_i + ".attention.wo.weight", {n_embd, n_embd}); - - layer.ffn_norm = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd); // (layers_i + ".ffn_norm.weight", {n_embd}); - - layer.w1 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_ff); // (layers_i + ".feed_forward.w1.weight", {n_embd, n_ff}); - layer.w2 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_ff, n_embd); // (layers_i + ".feed_forward.w2.weight", { n_ff, n_embd}); - layer.w3 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd, n_ff); // (layers_i + ".feed_forward.w3.weight", {n_embd, n_ff}); - } -} - -void set_param_model(struct llama_model * model) { - const auto& hparams = model->hparams; - - const uint32_t n_layer = hparams.n_layer; - - struct ggml_context* ctx = model->ctx; - - ggml_set_param(ctx, model->tok_embeddings); - ggml_set_param(ctx, model->norm); - ggml_set_param(ctx, model->output); - - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - - ggml_set_param(ctx, layer.attention_norm); - ggml_set_param(ctx, layer.wq); - ggml_set_param(ctx, layer.wk); - ggml_set_param(ctx, layer.wv); - ggml_set_param(ctx, layer.wo); - ggml_set_param(ctx, layer.ffn_norm); - ggml_set_param(ctx, layer.w1); - ggml_set_param(ctx, layer.w2); - ggml_set_param(ctx, layer.w3); - } -} - -void set_param_model_lora(struct llama_model_lora * model) { - const auto& hparams = model->hparams; - - const uint32_t n_layer = hparams.n_layer; - - struct ggml_context* ctx = model->ctx; - - ggml_set_param(ctx, model->tok_embeddings); - ggml_set_param(ctx, model->norm); - ggml_set_param(ctx, model->outputa); - ggml_set_param(ctx, model->outputb); - - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - - ggml_set_param(ctx, layer.attention_norm); - ggml_set_param(ctx, layer.wqa); - ggml_set_param(ctx, layer.wqb); - ggml_set_param(ctx, layer.wka); - ggml_set_param(ctx, layer.wkb); - ggml_set_param(ctx, layer.wva); - ggml_set_param(ctx, layer.wvb); - ggml_set_param(ctx, layer.woa); - ggml_set_param(ctx, layer.wob); - ggml_set_param(ctx, layer.ffn_norm); - ggml_set_param(ctx, layer.w1); - ggml_set_param(ctx, layer.w2); - ggml_set_param(ctx, layer.w3); - } -} - -void randomize_model(struct llama_model * model, int seed, float mean, float std, float min, float max) { - const auto & hparams = model->hparams; - - const uint32_t n_layer = hparams.n_layer; - - struct random_normal_distribution rnd; - init_random_normal_distribution(&rnd, seed, mean, std, min, max); - randomize_tensor_normal(model->tok_embeddings, model->tok_embeddings->n_dims, model->tok_embeddings->ne, &rnd); - randomize_tensor_normal(model->norm, model->norm->n_dims, model->norm->ne, &rnd); - randomize_tensor_normal(model->output, model->output->n_dims, model->output->ne, &rnd); - - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - randomize_tensor_normal(layer.attention_norm, layer.attention_norm->n_dims, layer.attention_norm->ne, &rnd); - - randomize_tensor_normal(layer.wq, layer.wq->n_dims, layer.wq->ne, &rnd); - randomize_tensor_normal(layer.wk, layer.wk->n_dims, layer.wk->ne, &rnd); - randomize_tensor_normal(layer.wv, layer.wv->n_dims, layer.wv->ne, &rnd); - randomize_tensor_normal(layer.wo, layer.wo->n_dims, layer.wo->ne, &rnd); - - randomize_tensor_normal(layer.ffn_norm, layer.ffn_norm->n_dims, layer.ffn_norm->ne, &rnd); - - randomize_tensor_normal(layer.w1, layer.w1->n_dims, layer.w1->ne, &rnd); - randomize_tensor_normal(layer.w2, layer.w2->n_dims, layer.w2->ne, &rnd); - randomize_tensor_normal(layer.w3, layer.w3->n_dims, layer.w3->ne, &rnd); - } -} - - -void randomize_model_lora(struct llama_model_lora * model, int seed, float mean, float std, float min, float max) { - const auto & hparams = model->hparams; - - const uint32_t n_layer = hparams.n_layer; - - struct random_normal_distribution rnd; - init_random_normal_distribution(&rnd, seed, mean, std, min, max); - randomize_tensor_normal(model->tok_embeddings, model->tok_embeddings->n_dims, model->tok_embeddings->ne, &rnd); - randomize_tensor_normal(model->norm, model->norm->n_dims, model->norm->ne, &rnd); - randomize_tensor_normal(model->outputa, model->outputa->n_dims, model->outputa->ne, &rnd); - randomize_tensor_normal(model->outputb, model->outputb->n_dims, model->outputb->ne, &rnd); - - for (uint32_t i = 0; i < n_layer; ++i) { - auto & layer = model->layers[i]; - randomize_tensor_normal(layer.attention_norm, layer.attention_norm->n_dims, layer.attention_norm->ne, &rnd); - - randomize_tensor_normal(layer.wqa, layer.wqa->n_dims, layer.wqa->ne, &rnd); - randomize_tensor_normal(layer.wqb, layer.wqb->n_dims, layer.wqb->ne, &rnd); - randomize_tensor_normal(layer.wka, layer.wka->n_dims, layer.wka->ne, &rnd); - randomize_tensor_normal(layer.wkb, layer.wkb->n_dims, layer.wkb->ne, &rnd); - randomize_tensor_normal(layer.wva, layer.wva->n_dims, layer.wva->ne, &rnd); - randomize_tensor_normal(layer.wvb, layer.wvb->n_dims, layer.wvb->ne, &rnd); - randomize_tensor_normal(layer.woa, layer.woa->n_dims, layer.woa->ne, &rnd); - randomize_tensor_normal(layer.wob, layer.wob->n_dims, layer.wob->ne, &rnd); - - randomize_tensor_normal(layer.ffn_norm, layer.ffn_norm->n_dims, layer.ffn_norm->ne, &rnd); - - randomize_tensor_normal(layer.w1, layer.w1->n_dims, layer.w1->ne, &rnd); - randomize_tensor_normal(layer.w2, layer.w2->n_dims, layer.w2->ne, &rnd); - randomize_tensor_normal(layer.w3, layer.w3->n_dims, layer.w3->ne, &rnd); - } -} - -bool init_kv_cache(struct llama_kv_cache* cache, struct llama_model * model, int n_batch) { - const auto & hparams = model->hparams; - - const uint32_t n_ctx = hparams.n_ctx; - const uint32_t n_embd = hparams.n_embd; - const uint32_t n_layer = hparams.n_layer; - - const int64_t n_mem = n_layer*n_ctx*n_batch; - const int64_t n_elements = n_embd*n_mem; - - // cache.buf.resize(2u*n_elements*ggml_type_size(wtype) + 2u*MB); - - // struct ggml_init_params params; - // params.mem_size = cache.buf.size; - // params.mem_buffer = cache.buf.addr; - // params.no_alloc = false; - if (!cache->ctx) { - struct ggml_init_params params; - params.mem_size = 2u*n_elements*ggml_type_size(GGML_TYPE_F32) + 2u*1024*1024; - params.mem_buffer = NULL; - params.no_alloc = false; - - cache->ctx = ggml_init(params); - - if (!cache->ctx) { - fprintf(stderr, "%s: failed to allocate memory for kv cache\n", __func__); - return false; - } - } - - cache->k = ggml_new_tensor_1d(cache->ctx, GGML_TYPE_F32, n_elements); - cache->v = ggml_new_tensor_1d(cache->ctx, GGML_TYPE_F32, n_elements); - - return true; -} - -bool init_kv_cache_lora(struct llama_kv_cache* cache, struct llama_model_lora * model, int n_batch) { - const auto & hparams = model->hparams; - - const uint32_t n_ctx = hparams.n_ctx; - const uint32_t n_embd = hparams.n_embd; - const uint32_t n_layer = hparams.n_layer; - - const int64_t n_mem = n_layer*n_ctx*n_batch; - const int64_t n_elements = n_embd*n_mem; - - // cache.buf.resize(2u*n_elements*ggml_type_size(wtype) + 2u*MB); - - // struct ggml_init_params params; - // params.mem_size = cache.buf.size; - // params.mem_buffer = cache.buf.addr; - // params.no_alloc = false; - if (!cache->ctx) { - struct ggml_init_params params; - params.mem_size = 2u*n_elements*ggml_type_size(GGML_TYPE_F32) + 2u*1024*1024; - params.mem_buffer = NULL; - params.no_alloc = false; - - cache->ctx = ggml_init(params); - - if (!cache->ctx) { - fprintf(stderr, "%s: failed to allocate memory for kv cache\n", __func__); - return false; - } - } - - cache->k = ggml_new_tensor_1d(cache->ctx, GGML_TYPE_F32, n_elements); - cache->v = ggml_new_tensor_1d(cache->ctx, GGML_TYPE_F32, n_elements); - - return true; -} - -struct ggml_tensor * forward( - struct llama_model * model, - struct llama_kv_cache * cache, - struct ggml_context * ctx0, - struct ggml_cgraph * gf, - struct ggml_tensor * tokens_input, - const int n_tokens, - const int n_past) { - - const int N = n_tokens; - - struct llama_kv_cache& kv_self = *cache; - const auto & hparams = model->hparams; - const int n_ctx = hparams.n_ctx; - const int n_embd = hparams.n_embd; - const int n_layer = hparams.n_layer; - const int n_head = hparams.n_head; - const int n_rot = hparams.n_rot; - - struct ggml_tensor * tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, N); - memcpy(tokens->data, tokens_input->data, N*ggml_element_size(tokens)); - - struct ggml_tensor * kc = kv_self.k; - struct ggml_tensor * vc = kv_self.v; - - // inpL shape [n_embd,N,1,1] - struct ggml_tensor * inpL = ggml_get_rows(ctx0, model->tok_embeddings, tokens); - for (int il = 0; il < n_layer; ++il) { - struct ggml_tensor * inpSA = inpL; - - struct ggml_tensor * cur; - - // lctx.use_buf(ctx0, 0); - - // norm - { - // cur shape [n_embd,N,1,1] - cur = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - - // cur = attention_norm*cur - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].attention_norm, cur), - cur); - } - - // self-attention - { - // compute Q and K and RoPE them - // wq shape [n_embd, n_embd, 1, 1] - // wk shape [n_embd, n_embd, 1, 1] - // Qcur shape [n_embd/n_head, n_head, N, 1] - // Kcur shape [n_embd/n_head, n_head, N, 1] - struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0, 0); - struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N), n_past, n_rot, 0, 0); - - // store key and value to memory - { - // compute the transposed [N, n_embd] V matrix - // wv shape [n_embd, n_embd, 1, 1] - // Vcur shape [n_embd, N, 1, 1] - struct ggml_tensor * Vcur = ggml_cont(ctx0, ggml_transpose(ctx0, ggml_reshape_2d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wv, cur), n_embd, N))); - - // kv_self.k shape [n_embd * n_ctx * n_layer, 1] - // kv_self.v shape [n_embd * n_ctx * n_layer, 1] - // k shape [n_embd * N, 1] == kv_self.k[:,n_past:n_past+N,il,0] - // v shape [N, n_embd, 1, 1] == kv_self.v[:,n_past:n_past+N,il,0] - - /* { - struct ggml_tensor * k = ggml_view_1d(ctx0, kv_self.k, N*n_embd, (ggml_element_size(kv_self.k)*n_embd)*(il*n_ctx + n_past)); - struct ggml_tensor * v = ggml_view_2d(ctx0, kv_self.v, N, n_embd, - ( n_ctx)*ggml_element_size(kv_self.v), - (il*n_ctx)*ggml_element_size(kv_self.v)*n_embd + n_past*ggml_element_size(kv_self.v)); - - // important: storing RoPE-ed version of K in the KV cache! - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Kcur, k)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Vcur, v)); - } //*/ - - kc = ggml_set_1d(ctx0, kc, ggml_reshape_1d(ctx0, Kcur, n_embd*N), (ggml_element_size(kv_self.k)*n_embd)*(il*n_ctx + n_past)); - vc = ggml_set_2d(ctx0, vc, Vcur, ( n_ctx)*ggml_element_size(kv_self.v), - (il*n_ctx)*ggml_element_size(kv_self.v)*n_embd + n_past*ggml_element_size(kv_self.v)); - } - - // Qcur shape [n_embd/n_head, n_head, N, 1] - // Q shape [n_embd/n_head, N, n_head, 1] - struct ggml_tensor * Q = - ggml_permute(ctx0, - Qcur, - 0, 2, 1, 3); - - // kv_self.k shape [n_embd * n_ctx * n_layer, 1] - // K shape [n_embd/n_head, n_past + N, n_head, 1] - struct ggml_tensor * K = - ggml_permute(ctx0, - ggml_reshape_3d(ctx0, - ggml_view_1d(ctx0, kc, (n_past + N)*n_embd, il*n_ctx*ggml_element_size(kc)*n_embd), - n_embd/n_head, n_head, n_past + N), - 0, 2, 1, 3); - - // K * Q - // KQ shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ = ggml_mul_mat(ctx0, K, Q); - - // KQ_scaled = KQ / sqrt(n_embd/n_head) - // KQ_scaled shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_scaled = - ggml_scale(ctx0, - KQ, - ggml_new_f32(ctx0, 1.0f/sqrtf(float(n_embd)/n_head))); - - // KQ_masked = mask_past(KQ_scaled) - // KQ_masked shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_masked = ggml_diag_mask_inf(ctx0, KQ_scaled, n_past); - - // KQ = soft_max(KQ_masked) - // KQ_soft_max shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_soft_max = ggml_soft_max(ctx0, KQ_masked); - - // split cached V into n_head heads - //// V shape [n_past + N, n_embd/n_head, n_head, 1] - // V shape [n_past + N, n_embd/n_head, n_head, 1] == kv_self.v[:,:(n_past+N),il,1] - struct ggml_tensor * V = - ggml_view_3d(ctx0, vc, - n_past + N, n_embd/n_head, n_head, - n_ctx*ggml_element_size(vc), - n_ctx*ggml_element_size(vc)*n_embd/n_head, - il*n_ctx*ggml_element_size(vc)*n_embd); - - // KQV shape [n_embd/n_head, N, n_head, 1] - struct ggml_tensor * KQV = ggml_mul_mat(ctx0, V, KQ_soft_max); - - // KQV_merged = KQV.permute(0, 2, 1, 3) - // KQV_merged shape [n_embd/n_head, n_head, N, 1] - struct ggml_tensor * KQV_merged = ggml_permute(ctx0, KQV, 0, 2, 1, 3); - // KQV_merged shape - - // cur = KQV_merged.contiguous().view(n_embd, N) - // cur shape [n_embd,N,1,1] - cur = ggml_reshape_2d(ctx0, ggml_cont(ctx0, KQV_merged), n_embd, N); - // cur = ggml_cpy(ctx0, - // KQV_merged, - // ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_embd, N)); - - // projection (no bias) - // cur shape [n_embd,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].wo, - cur); - } - - // lctx.use_buf(ctx0, 1); - - // inpFF shape [n_embd,N,1,1] - struct ggml_tensor * inpFF = ggml_add(ctx0, cur, inpSA); - - // feed-forward network - { - // norm - { - // cur shape [n_embd,N,1,1] - cur = ggml_rms_norm(ctx0, inpFF, rms_norm_eps); - - // cur = ffn_norm*cur - // cur shape [n_embd,N,1,1] - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].ffn_norm, cur), - cur); - } - - // tmp shape [n_ff,N,1,1] - struct ggml_tensor * tmp = ggml_mul_mat(ctx0, - model->layers[il].w3, - cur); - - // cur shape [n_ff,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w1, - cur); - - // SILU activation - // cur shape [n_ff,N,1,1] - cur = ggml_silu(ctx0, cur); - - // cur shape [n_ff,N,1,1] - cur = ggml_mul(ctx0, cur, tmp); - - // cur shape [n_embd,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w2, - cur); - } - - // cur shape [n_embd,N,1,1] - cur = ggml_add(ctx0, cur, inpFF); - - // input for next layer - // inpL shape [n_embd,N,1,1] - inpL = cur; - } - - // norm - { - - // inpL shape [n_embd,N,1,1] - inpL = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - - // inpL = norm*inpL - // inpL shape [n_embd,N,1,1] - inpL = ggml_mul(ctx0, - ggml_repeat(ctx0, model->norm, inpL), - inpL); - - //embeddings = inpL; - } - - // lm_head - // inpL shape [n_vocab,N,1,1] - inpL = ggml_mul_mat(ctx0, model->output, inpL); - - // run the computation - ggml_build_forward_expand(gf, inpL); - - return inpL; -} - -void assert_shape_1d(struct ggml_tensor * tensor, int64_t ne0) { - GGML_ASSERT(tensor->n_dims == 1); - GGML_ASSERT(tensor->ne[0] == ne0); -} - -void assert_shape_2d(struct ggml_tensor * tensor, int64_t ne0, int64_t ne1) { - GGML_ASSERT(tensor->n_dims == 2); - GGML_ASSERT(tensor->ne[0] == ne0); - GGML_ASSERT(tensor->ne[1] == ne1); -} - -void assert_shape_3d(struct ggml_tensor * tensor, int64_t ne0, int64_t ne1, int64_t ne2) { - GGML_ASSERT(tensor->n_dims == 3); - GGML_ASSERT(tensor->ne[0] == ne0); - GGML_ASSERT(tensor->ne[1] == ne1); - GGML_ASSERT(tensor->ne[2] == ne2); -} - -void assert_shape_4d(struct ggml_tensor * tensor, int64_t ne0, int64_t ne1, int64_t ne2, int64_t ne3) { - GGML_ASSERT(tensor->n_dims == 4); - GGML_ASSERT(tensor->ne[0] == ne0); - GGML_ASSERT(tensor->ne[1] == ne1); - GGML_ASSERT(tensor->ne[2] == ne2); - GGML_ASSERT(tensor->ne[3] == ne3); -} - -struct ggml_tensor * forward_batch( - struct llama_model * model, - struct llama_kv_cache * cache, - struct ggml_context * ctx0, - struct ggml_cgraph * gf, - struct ggml_tensor * tokens_input, - const int n_tokens, - const int n_past, - const int n_batch) { - - const int N = n_tokens; - - struct llama_kv_cache& kv_self = *cache; - const auto & hparams = model->hparams; - const int n_ctx = hparams.n_ctx; - const int n_vocab = hparams.n_vocab; - const int n_embd = hparams.n_embd; - const int n_layer = hparams.n_layer; - const int n_head = hparams.n_head; - const int n_rot = hparams.n_rot; - const int n_ff = get_n_ff(&hparams); - - struct ggml_tensor * tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, N*n_batch); - memcpy(tokens->data, tokens_input->data, ggml_element_size(tokens)*N*n_batch); - - struct ggml_tensor * kc = kv_self.k; - struct ggml_tensor * vc = kv_self.v; - - // inpL shape [n_embd,N*n_batch,1] - struct ggml_tensor * inpL = ggml_get_rows(ctx0, model->tok_embeddings, tokens); - assert_shape_2d(inpL, n_embd, N*n_batch); - for (int il = 0; il < n_layer; ++il) { - struct ggml_tensor * inpSA = inpL; - - struct ggml_tensor * cur; - - // lctx.use_buf(ctx0, 0); - - // norm - { - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - assert_shape_2d(cur, n_embd, N*n_batch); - - // cur = attention_norm*cur - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].attention_norm, cur), - cur); - assert_shape_2d(cur, n_embd, N*n_batch); - } - - // self-attention - { - // compute Q and K and RoPE them - // wq shape [n_embd, n_embd, 1, 1] - // wk shape [n_embd, n_embd, 1, 1] - // Qcur shape [n_embd/n_head, n_head, N, n_batch] - // Kcur shape [n_embd/n_head, n_head, N, n_batch] - struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N, n_batch), n_past, n_rot, 0, 0); - struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N, n_batch), n_past, n_rot, 0, 0); - assert_shape_4d(Qcur, n_embd/n_head, n_head, N, n_batch); - assert_shape_4d(Kcur, n_embd/n_head, n_head, N, n_batch); - - // store key and value to memory - { - // compute the transposed [N, n_embd] V matrix - // wv shape [n_embd, n_embd, 1, 1] - // Vcur shape [N, n_embd, n_batch, 1] - struct ggml_tensor * Vcur = ggml_cont(ctx0, - ggml_permute(ctx0, - ggml_reshape_3d(ctx0, - ggml_mul_mat(ctx0, - model->layers[il].wv, - cur), - n_embd, N, n_batch), - 1, 0, 2, 3)); - - assert_shape_3d(Vcur, N, n_embd, n_batch); - - // kv_self.k shape [n_embd * n_ctx * n_batch * n_layer] - // kv_self.v shape [n_ctx * n_embd * n_batch * n_layer] - // k shape [n_embd * N, n_batch] == kv_self.k[:,n_past:n_past+N,:,il] - // v shape [N, n_embd, n_batch, 1] == kv_self.v[:,n_past:n_past+N,:,il] - - /* { - struct ggml_tensor * k = ggml_view_1d(ctx0, kv_self.k, N*n_embd, (ggml_element_size(kv_self.k)*n_embd)*(il*n_ctx + n_past)); - struct ggml_tensor * v = ggml_view_2d(ctx0, kv_self.v, N, n_embd, - ( n_ctx)*ggml_element_size(kv_self.v), - (il*n_ctx)*ggml_element_size(kv_self.v)*n_embd + n_past*ggml_element_size(kv_self.v)); - - // important: storing RoPE-ed version of K in the KV cache! - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Kcur, k)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Vcur, v)); - } //*/ - - kc = ggml_set_2d(ctx0, kc, - ggml_reshape_2d(ctx0, Kcur, n_embd*N, n_batch), - ggml_element_size(kc)*n_embd*n_ctx, - (ggml_element_size(kc)*n_embd)*(il*n_batch*n_ctx + n_past)); - vc = ggml_set_2d(ctx0, vc, - ggml_reshape_2d(ctx0, Vcur, N*n_embd, n_batch), - ggml_element_size(vc)*n_ctx*n_embd, - ggml_element_size(vc)*(n_past + il*n_embd*n_batch*n_ctx)); - - assert_shape_1d(kc, n_embd * n_ctx * n_batch * n_layer); - assert_shape_1d(vc, n_embd * n_ctx * n_batch * n_layer); - } - - // Qcur shape [n_embd/n_head, n_head, N, n_batch] - // Q shape [n_embd/n_head, N, n_head, n_batch] - struct ggml_tensor * Q = - ggml_permute(ctx0, - Qcur, - 0, 2, 1, 3); - assert_shape_4d(Q, n_embd/n_head, N, n_head, n_batch); - - // kv_self.k shape [n_embd * n_ctx * n_batch * n_layer] - // K shape [n_embd/n_head, n_past + N, n_head, n_batch] - struct ggml_tensor * K = - ggml_permute(ctx0, - ggml_reshape_4d(ctx0, - ggml_view_3d(ctx0, - kc, - n_embd, - (n_past + N), - n_batch, - n_embd*ggml_element_size(kc), - n_ctx*n_embd*ggml_element_size(kc), - il*n_batch*n_ctx*n_embd*ggml_element_size(kc)), - n_embd/n_head, n_head, n_past + N, n_batch), - 0, 2, 1, 3); - assert_shape_4d(K, n_embd/n_head, n_past + N, n_head, n_batch); - - // K * Q - // KQ shape [n_past + N, N, n_head, n_batch] - struct ggml_tensor * KQ = ggml_mul_mat(ctx0, K, Q); - assert_shape_4d(KQ, n_past + N, N, n_head, n_batch); - - // KQ_scaled = KQ / sqrt(n_embd/n_head) - // KQ_scaled shape [n_past + N, N, n_head, n_batch] - struct ggml_tensor * KQ_scaled = - ggml_scale(ctx0, - KQ, - ggml_new_f32(ctx0, 1.0f/sqrtf(float(n_embd)/n_head))); - assert_shape_4d(KQ_scaled, n_past + N, N, n_head, n_batch); - - // KQ_masked = mask_past(KQ_scaled) - // KQ_masked shape [n_past + N, N, n_head, n_batch] - struct ggml_tensor * KQ_masked = ggml_diag_mask_inf(ctx0, KQ_scaled, n_past); - assert_shape_4d(KQ_masked, n_past + N, N, n_head, n_batch); - - // KQ = soft_max(KQ_masked) - // KQ_soft_max shape [n_past + N, N, n_head, n_batch] - struct ggml_tensor * KQ_soft_max = ggml_soft_max(ctx0, KQ_masked); - assert_shape_4d(KQ_soft_max, n_past + N, N, n_head, n_batch); - - // split cached V into n_head heads - // kv_self.v shape [n_ctx * n_embd * n_batch * n_layer] - // V shape [n_past + N, n_embd/n_head, n_head, n_batch] == kv_self.v[:(n_past+N),:,:,il] - struct ggml_tensor * V = - ggml_view_4d(ctx0, vc, - n_past + N, n_embd/n_head, n_head, n_batch, - ggml_element_size(vc)*n_ctx, - ggml_element_size(vc)*n_ctx*n_embd/n_head, - ggml_element_size(vc)*n_ctx*n_embd, - il*n_batch*n_ctx*n_embd*ggml_element_size(vc)); - assert_shape_4d(V, n_past + N, n_embd/n_head, n_head, n_batch); - - // KQV shape [n_embd/n_head, N, n_head, n_batch] - struct ggml_tensor * KQV = ggml_mul_mat(ctx0, V, KQ_soft_max); - assert_shape_4d(KQV, n_embd/n_head, N, n_head, n_batch); - - // KQV_merged = KQV.permute(0, 2, 1, 3) - // KQV_merged shape [n_embd/n_head, n_head, N, n_batch] - struct ggml_tensor * KQV_merged = ggml_permute(ctx0, KQV, 0, 2, 1, 3); - assert_shape_4d(KQV_merged, n_embd/n_head, n_head, N, n_batch); - // KQV_merged shape - - // cur = KQV_merged.contiguous().view(n_embd, N) - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_reshape_2d(ctx0, ggml_cont(ctx0, KQV_merged), n_embd, N*n_batch); - assert_shape_2d(cur, n_embd, N*n_batch); - // cur = ggml_cpy(ctx0, - // KQV_merged, - // ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_embd, N)); - - // projection (no bias) - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].wo, - cur); - assert_shape_2d(cur, n_embd, N*n_batch); - } - - // lctx.use_buf(ctx0, 1); - - // inpFF shape [n_embd,N*n_batch,1,1] - struct ggml_tensor * inpFF = ggml_add(ctx0, cur, inpSA); - assert_shape_2d(inpFF, n_embd, N*n_batch); - - // feed-forward network - { - // norm - { - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_rms_norm(ctx0, inpFF, rms_norm_eps); - assert_shape_2d(cur, n_embd, N*n_batch); - - // cur = ffn_norm*cur - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].ffn_norm, cur), - cur); - assert_shape_2d(cur, n_embd, N*n_batch); - } - - // tmp shape [n_ff,N*n_batch,1,1] - struct ggml_tensor * tmp = ggml_mul_mat(ctx0, - model->layers[il].w3, - cur); - assert_shape_2d(tmp, n_ff, N*n_batch); - - // cur shape [n_ff,N*n_batch,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w1, - cur); - assert_shape_2d(cur, n_ff, N*n_batch); - - // SILU activation - // cur shape [n_ff,N*n_batch,1,1] - cur = ggml_silu(ctx0, cur); - assert_shape_2d(cur, n_ff, N*n_batch); - - // cur shape [n_ff,N*n_batch,1,1] - cur = ggml_mul(ctx0, cur, tmp); - assert_shape_2d(cur, n_ff, N*n_batch); - - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w2, - cur); - assert_shape_2d(cur, n_embd, N*n_batch); - } - - // cur shape [n_embd,N*n_batch,1,1] - cur = ggml_add(ctx0, cur, inpFF); - assert_shape_2d(cur, n_embd, N*n_batch); - - // input for next layer - // inpL shape [n_embd,N*n_batch,1,1] - inpL = cur; - assert_shape_2d(inpL, n_embd, N*n_batch); - } - - // norm - { - - // inpL shape [n_embd,N*n_batch,1,1] - inpL = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - assert_shape_2d(inpL, n_embd, N*n_batch); - - // inpL = norm*inpL - // inpL shape [n_embd,N*n_batch,1,1] - inpL = ggml_mul(ctx0, - ggml_repeat(ctx0, model->norm, inpL), - inpL); - - assert_shape_2d(inpL, n_embd, N*n_batch); - - //embeddings = inpL; - } - - // lm_head - // inpL shape [n_vocab,N*n_batch,1,1] - inpL = ggml_mul_mat(ctx0, model->output, inpL); - assert_shape_2d(inpL, n_vocab, N*n_batch); - - { - // inpL shape [n_vocab,N,n_batch,1] - inpL = ggml_reshape_3d(ctx0, - inpL, - n_vocab, N, n_batch); - assert_shape_3d(inpL, n_vocab, N, n_batch); - } - - // run the computation - ggml_build_forward_expand(gf, inpL); - - return inpL; -} - - -struct ggml_tensor * forward_lora( - struct llama_model_lora * model, - struct llama_kv_cache * cache, - struct ggml_context * ctx0, - struct ggml_cgraph * gf, - struct ggml_tensor * tokens_input, - const int n_tokens, - const int n_past) { - - const int N = n_tokens; - - struct llama_kv_cache& kv_self = *cache; - const auto & hparams = model->hparams; - - const int n_ctx = hparams.n_ctx; - const int n_embd = hparams.n_embd; - const int n_layer = hparams.n_layer; - const int n_head = hparams.n_head; - const int n_rot = hparams.n_rot; - - struct ggml_tensor * tokens = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, N); - memcpy(tokens->data, tokens_input->data, N*ggml_element_size(tokens)); - - struct ggml_tensor * kc = kv_self.k; - struct ggml_tensor * vc = kv_self.v; - - // inpL shape [n_embd,N,1,1] - struct ggml_tensor * inpL = ggml_get_rows(ctx0, model->tok_embeddings, tokens); - for (int il = 0; il < n_layer; ++il) { - struct ggml_tensor * inpSA = inpL; - - struct ggml_tensor * cur; - - // norm - { - // cur shape [n_embd,N,1,1] - cur = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - - // cur = attention_norm*cur - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].attention_norm, cur), - cur); - } - - // self-attention - { - // compute Q and K and RoPE them - // wq shape [n_embd, n_embd, 1, 1] - // wk shape [n_embd, n_embd, 1, 1] - // Qcur shape [n_embd/n_head, n_head, N, 1] - // Kcur shape [n_embd/n_head, n_head, N, 1] - struct ggml_tensor * Qcur = ggml_rope(ctx0, - ggml_reshape_3d(ctx0, - ggml_mul_mat(ctx0, - model->layers[il].wqa, - ggml_mul_mat(ctx0, - model->layers[il].wqb, - cur)), - n_embd/n_head, n_head, N), - n_past, n_rot, 0, 0); - struct ggml_tensor * Kcur = ggml_rope(ctx0, - ggml_reshape_3d(ctx0, - ggml_mul_mat(ctx0, - model->layers[il].wka, - ggml_mul_mat(ctx0, - model->layers[il].wkb, - cur)), - n_embd/n_head, n_head, N), - n_past, n_rot, 0, 0); - - // store key and value to memory - { - // compute the transposed [N, n_embd] V matrix - // wv shape [n_embd, n_embd, 1, 1] - // Vcur shape [n_embd, N, 1, 1] - struct ggml_tensor * Vcur = ggml_cont(ctx0, - ggml_transpose(ctx0, - ggml_reshape_2d(ctx0, - ggml_mul_mat(ctx0, - model->layers[il].wva, - ggml_mul_mat(ctx0, - model->layers[il].wvb, - cur)), - n_embd, N))); - - // kv_self.k shape [n_embd * n_ctx * n_layer, 1] - // kv_self.v shape [n_embd * n_ctx * n_layer, 1] - // k shape [n_embd * N, 1] == kv_self.k[:,n_past:n_past+N,il,0] - // v shape [N, n_embd, 1, 1] == kv_self.v[:,n_past:n_past+N,il,0] - - /* { - struct ggml_tensor * k = ggml_view_1d(ctx0, kv_self.k, N*n_embd, (ggml_element_size(kv_self.k)*n_embd)*(il*n_ctx + n_past)); - struct ggml_tensor * v = ggml_view_2d(ctx0, kv_self.v, N, n_embd, - ( n_ctx)*ggml_element_size(kv_self.v), - (il*n_ctx)*ggml_element_size(kv_self.v)*n_embd + n_past*ggml_element_size(kv_self.v)); - - // important: storing RoPE-ed version of K in the KV cache! - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Kcur, k)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, Vcur, v)); - } //*/ - - kc = ggml_set_1d(ctx0, kc, ggml_reshape_1d(ctx0, Kcur, n_embd*N), (ggml_element_size(kv_self.k)*n_embd)*(il*n_ctx + n_past)); - vc = ggml_set_2d(ctx0, vc, Vcur, ( n_ctx)*ggml_element_size(kv_self.v), - (il*n_ctx)*ggml_element_size(kv_self.v)*n_embd + n_past*ggml_element_size(kv_self.v)); - } - - // Qcur shape [n_embd/n_head, n_head, N, 1] - // Q shape [n_embd/n_head, N, n_head, 1] - struct ggml_tensor * Q = - ggml_permute(ctx0, - Qcur, - 0, 2, 1, 3); - - // kv_self.k shape [n_embd * n_ctx * n_layer, 1] - // K shape [n_embd/n_head, n_past + N, n_head, 1] - struct ggml_tensor * K = - ggml_permute(ctx0, - ggml_reshape_3d(ctx0, - ggml_view_1d(ctx0, kc, (n_past + N)*n_embd, il*n_ctx*ggml_element_size(kc)*n_embd), - n_embd/n_head, n_head, n_past + N), - 0, 2, 1, 3); - - // K * Q - // KQ shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ = ggml_mul_mat(ctx0, K, Q); - - // KQ_scaled = KQ / sqrt(n_embd/n_head) - // KQ_scaled shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_scaled = - ggml_scale(ctx0, - KQ, - ggml_new_f32(ctx0, 1.0f/sqrtf(float(n_embd)/n_head))); - - // KQ_masked = mask_past(KQ_scaled) - // KQ_masked shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_masked = ggml_diag_mask_inf(ctx0, KQ_scaled, n_past); - - // KQ = soft_max(KQ_masked) - // KQ_soft_max shape [n_past + N, N, n_head, 1] - struct ggml_tensor * KQ_soft_max = ggml_soft_max(ctx0, KQ_masked); - - // split cached V into n_head heads - //// V shape [n_past + N, n_embd/n_head, n_head, 1] - // V shape [n_past + N, n_embd/n_head, n_head, 1] == kv_self.v[:,:(n_past+N),il,1] - struct ggml_tensor * V = - ggml_view_3d(ctx0, vc, - n_past + N, n_embd/n_head, n_head, - n_ctx*ggml_element_size(vc), - n_ctx*ggml_element_size(vc)*n_embd/n_head, - il*n_ctx*ggml_element_size(vc)*n_embd); - - // KQV shape [n_embd/n_head, N, n_head, 1] - struct ggml_tensor * KQV = ggml_mul_mat(ctx0, V, KQ_soft_max); - - // KQV_merged = KQV.permute(0, 2, 1, 3) - // KQV_merged shape [n_embd/n_head, n_head, N, 1] - struct ggml_tensor * KQV_merged = ggml_permute(ctx0, KQV, 0, 2, 1, 3); - // KQV_merged shape - - // cur = KQV_merged.contiguous().view(n_embd, N) - // cur shape [n_embd,N,1,1] - cur = ggml_reshape_2d(ctx0, ggml_cont(ctx0, KQV_merged), n_embd, N); - // cur = ggml_cpy(ctx0, - // KQV_merged, - // ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_embd, N)); - - // projection (no bias) - // cur shape [n_embd,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].woa, - ggml_mul_mat(ctx0, - model->layers[il].wob, - cur)); - } - - // inpFF shape [n_embd,N,1,1] - struct ggml_tensor * inpFF = ggml_add(ctx0, cur, inpSA); - - // feed-forward network - { - // norm - { - // cur shape [n_embd,N,1,1] - cur = ggml_rms_norm(ctx0, inpFF, rms_norm_eps); - - // cur = ffn_norm*cur - // cur shape [n_embd,N,1,1] - cur = ggml_mul(ctx0, - ggml_repeat(ctx0, model->layers[il].ffn_norm, cur), - cur); - } - - // tmp shape [n_ff,N,1,1] - struct ggml_tensor * tmp = ggml_mul_mat(ctx0, - model->layers[il].w3, - cur); - - // cur shape [n_ff,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w1, - cur); - - // SILU activation - // cur shape [n_ff,N,1,1] - cur = ggml_silu(ctx0, cur); - - // cur shape [n_ff,N,1,1] - cur = ggml_mul(ctx0, cur, tmp); - - // cur shape [n_embd,N,1,1] - cur = ggml_mul_mat(ctx0, - model->layers[il].w2, - cur); - } - - // cur shape [n_embd,N,1,1] - cur = ggml_add(ctx0, cur, inpFF); - - // input for next layer - // inpL shape [n_embd,N,1,1] - inpL = cur; - } - - // norm - { - - // inpL shape [n_embd,N,1,1] - inpL = ggml_rms_norm(ctx0, inpL, rms_norm_eps); - - // inpL = norm*inpL - // inpL shape [n_embd,N,1,1] - inpL = ggml_mul(ctx0, - ggml_repeat(ctx0, model->norm, inpL), - inpL); - - //embeddings = inpL; - } - - - // lm_head - // inpL shape [n_vocab,N,1,1] - inpL = ggml_mul_mat(ctx0, - model->outputa, - ggml_mul_mat(ctx0, - model->outputb, - inpL)); - - // ggml_set_scratch(ctx0, { 0, 0, nullptr, }); - // run the computation - ggml_build_forward_expand(gf, inpL); - - return inpL; -} - -void sample_softmax(struct ggml_tensor * logits, struct ggml_tensor * probs, struct ggml_tensor * best_samples) { - assert(logits->n_dims == 2); - assert(probs->n_dims == 2); - assert(best_samples->n_dims == 1); - assert(logits->ne[1] == best_samples->ne[0]); - assert(logits->ne[0] == probs->ne[0]); - assert(logits->ne[1] == probs->ne[1]); - for (int i = 0; i < logits->ne[1]; ++i) { - float max_logit = ggml_get_f32_1d(logits, i * logits->ne[0]); - ggml_set_i32_1d(best_samples, i, 0); - for (int k = 0; k < logits->ne[0]; ++k) { - float logit = ggml_get_f32_1d(logits, i * logits->ne[0] + k); - if (logit > max_logit) { - max_logit = logit; - ggml_set_i32_1d(best_samples, i, k); - } - } - float psum = 0; - for (int k = 0; k < logits->ne[0]; ++k) { - float logit = ggml_get_f32_1d(logits, i * logits->ne[0] + k); - float p = (logit == -INFINITY) ? 0 : expf(logit - max_logit); - psum += p; - ggml_set_f32_1d(probs, i * probs->ne[0] + k, p); - } - for (int k = 0; k < logits->ne[0]; ++k) { - float p = ggml_get_f32_1d(probs, i*probs->ne[0] + k); - ggml_set_f32_1d(probs, i * probs->ne[0] + k, p / psum); - } - } -} - -void sample_softmax_batch(struct ggml_context * ctx, struct ggml_tensor * logits, struct ggml_tensor * probs, struct ggml_tensor * best_samples) { - GGML_ASSERT(best_samples->n_dims == 2); - GGML_ASSERT(logits->n_dims == 3); - GGML_ASSERT(probs->n_dims == 3); - int n_tokens = best_samples->ne[0]; - int n_batch = best_samples->ne[1]; - int n_vocab = logits->ne[0]; - GGML_ASSERT(n_tokens == logits->ne[1]); - GGML_ASSERT(n_batch == logits->ne[2]); - GGML_ASSERT(n_vocab == probs->ne[0]); - GGML_ASSERT(n_tokens == probs->ne[1]); - GGML_ASSERT(n_batch == probs->ne[2]); - - for (int k = 0; k < n_batch; ++k) { - struct ggml_tensor * best_samples_k = ggml_view_1d(ctx, - best_samples, - best_samples->ne[0], - k*best_samples->nb[1]); - struct ggml_tensor * logits_k = ggml_view_2d(ctx, - logits, - logits->ne[0], - logits->ne[1], - logits->nb[1], - k*logits->nb[2]); - struct ggml_tensor * probs_k = ggml_view_2d(ctx, - probs, - probs->ne[0], - probs->ne[1], - probs->nb[1], - k*probs->nb[2]); - sample_softmax(logits_k, probs_k, best_samples_k); - } -} - -void print_row(struct ggml_tensor * probs, int i) { - for (int k = 0; k < probs->ne[0]; ++k) { - float p = ggml_get_f32_1d(probs, i*probs->ne[0] + k); - printf(" %.2f", p); - } - printf("\n"); -} - -void print_matrix(struct ggml_tensor * probs) { - assert(probs->n_dims == 2); - for (int i = 0; i < probs->ne[1]; ++i) { - for (int k = 0; k < probs->ne[0]; ++k) { - float p = ggml_get_f32_1d(probs, i*probs->ne[0] + k); - printf(" %.2f", p); - } - printf("\n"); - } -} - -void print_token(int token, int n_vocab) { - for (int k = 0; k < token; ++k) { - printf(" "); - } - printf("X"); - for (int k = token+1; k < n_vocab; ++k) { - printf(" "); - } - printf("\n"); -} - -void print_tokens(struct ggml_tensor * tokens, int n_vocab) { - for (int i=0; ine[0]; ++i) { - int token = ggml_get_i32_1d(tokens, i); - print_token(token, n_vocab); - } -} - -void get_example_targets(int example_id, struct ggml_tensor * tokens_input, struct ggml_tensor * targets) { - int n_tokens = tokens_input->ne[0]; - int n_vocab = targets->ne[0]; - float randomness = 0.0f; - // ggml_set_zero(targets); - ggml_set_f32(targets, -1.0f); - ggml_set_i32_1d(tokens_input, 0, 0); - for (int i=1; i 1.0f) ? 1.0f : z; // clamp to [0..1] - int token = std::max(1,std::min(1+(int)(z*(float)(n_vocab-1)), n_vocab-1)); - ggml_set_f32_1d(targets, (i-1)*n_vocab + token, +1.0f); - if (in_dims == 2); - GGML_ASSERT( targets->n_dims == 3); - int n_tokens = tokens_input->ne[0]; - int n_batch = tokens_input->ne[1]; - GGML_ASSERT(n_tokens == targets->ne[1]); - GGML_ASSERT(n_batch == targets->ne[2]); - - for (int k=0; kne[0], - k*tokens_input->nb[1]); - struct ggml_tensor * targets_k = ggml_view_2d(ctx, - targets, - targets->ne[0], - targets->ne[1], - targets->nb[1], - k*targets->nb[2]); - get_example_targets(example_id*n_batch + k, tokens_input_k, targets_k); - } -} - -void lshift_examples(struct ggml_tensor * tokens_input, struct ggml_tensor * targets, int n_shift) { - int n_tokens = tokens_input->ne[0]; - int n_vocab = targets->ne[0]; - for (int i=0; i work_buffer; - - for (int ex=0; ex -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * graph, int n_threads) { - struct ggml_cplan plan = ggml_graph_plan(graph, n_threads); - - if (plan.work_size > 0) { - buf.resize(plan.work_size); - plan.work_data = buf.data(); - } - - ggml_graph_compute(graph, &plan); -} - -float tensor_sum_elements(const ggml_tensor * tensor) { - float sum = 0; - if (tensor->type==GGML_TYPE_F32) { - for (int j = 0; j < tensor->ne[1]; j++) { - for (int k = 0; k < tensor->ne[0]; k++) { - sum += ((float *) tensor->data)[j*tensor->ne[0]+k]; - } - } - } - return sum; -} - -void tensor_dump(const ggml_tensor * tensor, const char * name) { - printf("%15s: type = %i (%5s) ne = %5" PRIi64 " x %5" PRIi64 " x %5" PRIi64 ", nb = (%5zi, %5zi, %5zi) - ", name, - tensor->type, ggml_type_name(tensor->type), - tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->nb[0], tensor->nb[1], tensor->nb[2]); - float sum = tensor_sum_elements(tensor); - printf("Sum of tensor %s is %6.2f\n", name, sum); -} - -#define TENSOR_DUMP(tensor) tensor_dump(tensor, #tensor) - -struct benchmark_params_struct { - int32_t n_threads = 1; - int32_t n_iterations = 10; -}; - -void print_usage(int /*argc*/, char ** argv, struct benchmark_params_struct params) { - fprintf(stderr, "usage: %s [options]\n", argv[0]); - fprintf(stderr, "\n"); - fprintf(stderr, "options:\n"); - fprintf(stderr, " -h, --help show this help message and exit\n"); - fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads); - fprintf(stderr, " -i N, --iter N number of iterations to use during computation (default: %d)\n", params.n_iterations); - fprintf(stderr, "\n"); -} - -int main(int argc, char ** argv) { - struct benchmark_params_struct benchmark_params; - - bool invalid_param = false; - std::string arg; - for (int i = 1; i < argc; i++) { - arg = argv[i]; - - if (arg == "-t" || arg == "--threads") { - if (++i >= argc) { - invalid_param = true; - break; - } - benchmark_params.n_threads = std::stoi(argv[i]); - } else if (arg == "-i" || arg == "--iter") { - if (++i >= argc) { - invalid_param = true; - break; - } - benchmark_params.n_iterations = std::stoi(argv[i]); - } else if (arg == "-h" || arg == "--help") { - print_usage(argc, argv, benchmark_params); - exit(0); - } - } - if (invalid_param) { - fprintf(stderr, "error: invalid parameter for argument: %s\n", arg.c_str()); - print_usage(argc, argv, benchmark_params); - exit(1); - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - printf("Starting Test\n"); - - // create the ggml context - struct ggml_context * ctx; - //const int sizex = 4096; - //const int sizey = 11008; - -#undef VERBOSE_DEBUGGING -#ifndef VERBOSE_DEBUGGING - const int sizey = 4096; - const int sizex = 11008; - const int sizez = 128; -#else - /* Working - let's increase size */ - const int sizey = 1; - const int sizex = (8*32); - const int sizez = 1; - - /*const int sizey = 1; - const int sizex = 3*(8*32); - const int sizez = 1;*/ -#endif - - //printf("Memsize required = %i\n", sizex*sizex); - - size_t ctx_size = 0; - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_F32); - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_F32); - ctx_size += sizex*sizez*ggml_type_sizef(GGML_TYPE_F32); - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_Q4_0); - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_Q4_0); - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_F32); // BLAS - ctx_size += sizex*sizey*ggml_type_sizef(GGML_TYPE_F32); // BLAS - ctx_size += 1024*1024*16; - - printf("Allocating Memory of size %zi bytes, %zi MB\n",ctx_size, (ctx_size/1024/1024)); - - struct ggml_init_params params = { - /*.mem_size =*/ ctx_size, - /*.mem_buffer =*/ NULL, - /* no_alloc =*/ 0 - }; - - ctx = ggml_init(params); - if (!ctx) { - fprintf(stderr, "%s: ggml_init() failed\n", __func__); - return 1; - } - - - printf("Creating new tensors\n"); - // printf("Creating new tensor m1\n"); - struct ggml_tensor * m11 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, sizex, sizey); - ggml_set_f32(m11, 1.0f); - - // printf("Creating new tensor m1\n"); - struct ggml_tensor * m12 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, sizex, sizey); - ggml_set_f32(m12, 1.5f); - - // printf("Creating new tensor m2\n"); - struct ggml_tensor * m2 = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, sizex, sizez); - ggml_set_f32(m2, 2.0f); - - printf("\n------ Test 1 - Matrix Mult via F32 code ------------------------------------------------------------------------------\n"); - // printf("Creating new tensor m11xm2\n"); - struct ggml_tensor * m11xm2 = ggml_mul_mat(ctx, m11, m2); - - // printf("Creating compute graph\n"); - struct ggml_cgraph gf = ggml_build_forward(m11xm2); - - printf("n_threads=%i\n", benchmark_params.n_threads); - - TENSOR_DUMP(m11); - TENSOR_DUMP(m2); - - std::vector work_buffer; - - ggml_graph_compute_helper(work_buffer, &gf, benchmark_params.n_threads); - - TENSOR_DUMP(gf.nodes[0]); - - printf("\n------ Test 2 - Matrix Mult via Q4_0 code ------------------------------------------------------------------------------\n"); - - int32_t nelements = sizex*sizey; - int32_t ne[2] = { sizex, sizey }; - - std::vector hist_cur(1 << 4, 0); - - // Set up a the benchmark matrices - // printf("Creating new tensor q11 & Running quantize\n"); - struct ggml_tensor * q11 = ggml_new_tensor_2d(ctx, GGML_TYPE_Q4_0, sizex, sizey); - ggml_quantize_q4_0((const float *) m11->data, q11->data, nelements, ne[0], hist_cur.data()); - - // Set up a the compute graph - // printf("Creating new tensor q31\n"); - struct ggml_tensor * q31 = ggml_mul_mat(ctx, q11, m2); - - // printf("Creating compute graph\n"); - struct ggml_cgraph gf31 = ggml_build_forward(q31); - - // Set up a second graph computation to make sure we override the CPU cache lines - // printf("Creating new tensor q12 & Running quantize\n"); - struct ggml_tensor * q12 = ggml_new_tensor_2d(ctx, GGML_TYPE_Q4_0, sizex, sizey); - ggml_quantize_q4_0((const float *) m12->data, q12->data, nelements, ne[0], hist_cur.data()); - - // printf("Creating new tensor q32\n"); - struct ggml_tensor * q32 = ggml_mul_mat(ctx, q12, m2); - - //printf("Creating compute graph\n"); - struct ggml_cgraph gf32 = ggml_build_forward(q32); - printf("n_threads=%i\n", benchmark_params.n_threads); - - const int dimx = sizex; - const int dimy = sizey; - const int dimz = sizez; - long long int flops_per_dot_product = dimy + dimy; - long long int flops_per_matrix = flops_per_dot_product * dimx * dimz; ; - printf("Matrix Multiplication of (%i,%i,%i) x (%i,%i,%i) - about %6.2f gFLOPS\n\n", sizex, sizey, 1, sizex, sizez, 1, 1.0f*flops_per_matrix / 1000 / 1000 / 1000); - - - // Let's use the F32 result from above as a reference for the q4_0 multiplication - float sum_of_F32_reference = tensor_sum_elements(gf.nodes[0]); - - printf("Iteration;NThreads; SizeX; SizeY; SizeZ; Required_FLOPS; Elapsed_u_Seconds; gigaFLOPS\n"); - printf("=====================================================================================\n"); - - double gflops_sum = 0; - for (int i=0;i allowed_delta) { - printf("\nABORT - ERROR in Matrix Multiplication result - expected %6.2f, got %6.2f (delta %6.2f > allowed_delta %6.2f)\n", - sum_of_F32_reference, - sum_of_Q4_result, - delta, - allowed_delta - ); - exit(0); - } - - // Running a different graph computation to make sure we override the CPU cache lines - ggml_graph_compute_helper(work_buffer, &gf32, benchmark_params.n_threads); - } - printf("\n"); - printf("Average%78.2f\n",gflops_sum/((double)benchmark_params.n_iterations)); - printf("=====================================================================================\n"); -} diff --git a/llama.cpp/examples/chat-13B.bat b/llama.cpp/examples/chat-13B.bat deleted file mode 100644 index c5c8ac6..0000000 --- a/llama.cpp/examples/chat-13B.bat +++ /dev/null @@ -1,57 +0,0 @@ -@setlocal disabledelayedexpansion enableextensions -@echo off - -cd /d "%~dp0.." -if not "%errorlevel%"=="0" ( - echo Unable to change directory. - pause - exit /b 1 -) - -if not defined MODEL set "MODEL=models\13B\ggml-model-q4_0.bin" -if not defined USER_NAME set "USER_NAME=User" -if not defined AI_NAME set "AI_NAME=ChatLLaMa" -rem Adjust to the number of CPU cores you want to use. -rem if not defined N_THREAD set "N_THREAD=8" -rem Number of tokens to predict (made it larger than default because we want a long interaction) -if not defined N_PREDICTS set "N_PREDICTS=2048" -if not defined GEN_OPTIONS set "GEN_OPTIONS=--ctx_size 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_last_n 256 --batch_size 1024 --repeat_penalty 1.17647" - -rem Default main script paths -set "DEFAULT_MAIN_SCRIPT_PATHS=main.exe build\bin\main.exe" - -rem Get main script path from command line arguments -set "MAIN_SCRIPT_PATH=%~1" - -rem If the main script path was not specified, try the default paths -if not defined MAIN_SCRIPT_PATH ( - for %%i in (%DEFAULT_MAIN_SCRIPT_PATHS%) do ( - if exist "%%i" set "MAIN_SCRIPT_PATH=%%i" - ) -) - -rem If the main script path was not found, tell the user how to specify it -if not defined MAIN_SCRIPT_PATH ( - echo The main script could not be found. Please provide the path to the main script as 1st argument to this script, or place the main script in one of the default locations: - echo %DEFAULT_MAIN_SCRIPT_PATHS% - pause - exit /b 1 -) - -rem Default context, feel free to edit it -set "PROMPT_TEXT=Text transcript of a never ending dialog, where %USER_NAME% interacts with an AI assistant named %AI_NAME%. %AI_NAME% is helpful, kind, honest, friendly, good at writing and never fails to answer %USER_NAME%'s requests immediately and with details and precision. There are no annotations like (30 seconds passed...) or (to himself), just what %USER_NAME% and %AI_NAME% say aloud to each other. The dialog lasts for years, the entirety of it is shared below. It's 10000 pages long. The transcript only includes text, it does not include markup like HTML and Markdown." - -rem Set a temporary variable if N_THREAD is set -if defined N_THREAD ( - set "_N_THREAD=--threads %N_THREAD%" -) else ( - set "_N_THREAD=" -) - -rem Run the script -echo "%MAIN_SCRIPT_PATH%" %GEN_OPTIONS% %_N_THREAD% ^ - --model "%MODEL%" ^ - --n_predict %N_PREDICTS% ^ - --color --interactive ^ - --reverse-prompt "%USER_NAME%:" ^ - --prompt "%PROMPT_TEXT%" diff --git a/llama.cpp/examples/chat-13B.sh b/llama.cpp/examples/chat-13B.sh deleted file mode 100755 index 35c089d..0000000 --- a/llama.cpp/examples/chat-13B.sh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/bash - -set -e - -cd "$(dirname "$0")/.." || exit - -MODEL="${MODEL:-./models/13B/ggml-model-q4_0.bin}" -PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat.txt} -USER_NAME="${USER_NAME:-USER}" -AI_NAME="${AI_NAME:-ChatLLaMa}" - -# Adjust to the number of CPU cores you want to use. -N_THREAD="${N_THREAD:-8}" -# Number of tokens to predict (made it larger than default because we want a long interaction) -N_PREDICTS="${N_PREDICTS:-2048}" - -# Note: you can also override the generation options by specifying them on the command line: -# For example, override the context size by doing: ./chatLLaMa --ctx_size 1024 -GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_last_n 256 --batch_size 1024 --repeat_penalty 1.17647}" - -DATE_TIME=$(date +%H:%M) -DATE_YEAR=$(date +%Y) - -PROMPT_FILE=$(mktemp -t llamacpp_prompt.XXXXXXX.txt) - -sed -e "s/\[\[USER_NAME\]\]/$USER_NAME/g" \ - -e "s/\[\[AI_NAME\]\]/$AI_NAME/g" \ - -e "s/\[\[DATE_TIME\]\]/$DATE_TIME/g" \ - -e "s/\[\[DATE_YEAR\]\]/$DATE_YEAR/g" \ - $PROMPT_TEMPLATE > $PROMPT_FILE - -# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS -./main $GEN_OPTIONS \ - --model "$MODEL" \ - --threads "$N_THREAD" \ - --n_predict "$N_PREDICTS" \ - --color --interactive \ - --file ${PROMPT_FILE} \ - --reverse-prompt "${USER_NAME}:" \ - --in-prefix ' ' \ - "$@" diff --git a/llama.cpp/examples/chat-persistent.sh b/llama.cpp/examples/chat-persistent.sh deleted file mode 100755 index e0c251e..0000000 --- a/llama.cpp/examples/chat-persistent.sh +++ /dev/null @@ -1,151 +0,0 @@ -#!/bin/bash - -set -euo pipefail - -cd "$(dirname "$0")/.." || exit - -if [[ -z "${PROMPT_CACHE_FILE+x}" || -z "${CHAT_SAVE_DIR+x}" ]]; then - echo >&2 "error: PROMPT_CACHE_FILE and CHAT_SAVE_DIR must be provided" - exit 1 -fi - -MODEL="${MODEL:-./models/13B/ggml-model-q4_0.bin}" -PROMPT_TEMPLATE="${PROMPT_TEMPLATE:-./prompts/chat.txt}" -USER_NAME="${USER_NAME:-User}" -AI_NAME="${AI_NAME:-ChatLLaMa}" -DATE_TIME="$(date +%H:%M)" -DATE_YEAR="$(date +%Y)" - -LOG="${CHAT_SAVE_DIR}/main.log" -LOG_BG="${CHAT_SAVE_DIR}/main-bg.log" -CUR_PROMPT_FILE="${CHAT_SAVE_DIR}/current-prompt.txt" -CUR_PROMPT_CACHE="${CHAT_SAVE_DIR}/current-cache.bin" -NEXT_PROMPT_FILE="${CHAT_SAVE_DIR}/next-prompt.txt" -NEXT_PROMPT_CACHE="${CHAT_SAVE_DIR}/next-cache.bin" - -SESSION_SIZE_MSG_PATTERN='main: session file matches [[:digit:]]+ / [[:digit:]]+' -SAMPLE_TIME_MSG_PATTERN='sample time =[[:space:]]+[[:digit:]]+.[[:digit:]]+ ms /[[:space:]]+[[:digit:]]+' -SED_DELETE_MESSAGES="/^(${USER_NAME}:|${AI_NAME}:|\\.\\.\\.)/,\$d" - -CTX_SIZE=2048 -CTX_ROTATE_POINT=$((CTX_SIZE * 3 / 5)) # REVIEW -OPTS=(--model "$MODEL" --ctx_size "$CTX_SIZE" --repeat_last_n 256 "$@") - -# An unbuffered `tail -c+N` -skip_bytes() { - LANG=C IFS= read -r -n "$1" -d '' c - while LANG=C IFS= read -r -n 1 -d '' c; do - printf '%s' "$c" - done -} - -mkdir -p "$CHAT_SAVE_DIR" -echo >"$LOG" -trap "tail -n100 ${LOG}" EXIT - -if [[ ! -e "$CUR_PROMPT_FILE" ]]; then - sed -e "s/\[\[USER_NAME\]\]/${USER_NAME}/g" \ - -e "s/\[\[AI_NAME\]\]/${AI_NAME}/g" \ - -e "s/\[\[DATE_TIME\]\]/${DATE_TIME}/g" \ - -e "s/\[\[DATE_YEAR\]\]/${DATE_YEAR}/g" \ - "$PROMPT_TEMPLATE" >"$CUR_PROMPT_FILE" -fi - -if [[ ! -e "$NEXT_PROMPT_FILE" ]]; then - sed -r "$SED_DELETE_MESSAGES" "$CUR_PROMPT_FILE" >"$NEXT_PROMPT_FILE" -fi - -if [[ "$(tail -c4 "$NEXT_PROMPT_FILE")" != "..." ]]; then - echo '...' >>"$NEXT_PROMPT_FILE" -fi - -if [[ ! -e "$PROMPT_CACHE_FILE" ]]; then - echo 'Prompt cache does not exist, building...' - # Default batch_size to 8 here for better user feedback during initial prompt processing - ./main 2>>"$LOG" \ - --batch_size 8 \ - "${OPTS[@]}" \ - --prompt-cache "$PROMPT_CACHE_FILE" \ - --file "$CUR_PROMPT_FILE" \ - --n_predict 1 - echo - echo 'Done!' -fi - -if [[ ! -e "$CUR_PROMPT_CACHE" ]]; then - cp "$PROMPT_CACHE_FILE" "$CUR_PROMPT_CACHE" -fi -if [[ ! -e "$NEXT_PROMPT_CACHE" ]]; then - cp "$PROMPT_CACHE_FILE" "$NEXT_PROMPT_CACHE" -fi - -printf '%s ' "$(< "$CUR_PROMPT_FILE")" -n_tokens=0 - -while read -e line; do - # Limit generation to remaining context, with a buffer and estimating 2 chars/token for input - n_predict=$((CTX_SIZE - n_tokens - ${#line} / 2 - 32)) - - # Swap prompts when we're about to run out of context - if ((n_predict <= 0)); then - wait # for background main (below) to finish with next prompt - mv "$NEXT_PROMPT_FILE" "$CUR_PROMPT_FILE" - mv "$NEXT_PROMPT_CACHE" "$CUR_PROMPT_CACHE" - - sed -r "$SED_DELETE_MESSAGES" "$CUR_PROMPT_FILE" >"$NEXT_PROMPT_FILE" - echo '...' >>"$NEXT_PROMPT_FILE" - cp "$PROMPT_CACHE_FILE" "$NEXT_PROMPT_CACHE" - - n_tokens=0 - n_predict=$((CTX_SIZE / 2)) - fi - - echo " ${line}" >>"$CUR_PROMPT_FILE" - if ((n_tokens > CTX_ROTATE_POINT)); then - echo " ${line}" >>"$NEXT_PROMPT_FILE" - fi - - n_prompt_len_pre=$(($(wc -c <"$CUR_PROMPT_FILE"))) - - printf '%s: ' "$AI_NAME" >>"$CUR_PROMPT_FILE" - - ./main 2>>"$LOG" "${OPTS[@]}" \ - --prompt-cache "$CUR_PROMPT_CACHE" \ - --prompt-cache-all \ - --file "$CUR_PROMPT_FILE" \ - --reverse-prompt "${USER_NAME}:" \ - --n_predict "$n_predict" | - skip_bytes 1 | # skip BOS token added by ./main - tee "$CUR_PROMPT_FILE.tmp" | # save prompt + generation to tmp file - skip_bytes "$n_prompt_len_pre" # print generation - - mv "$CUR_PROMPT_FILE.tmp" "$CUR_PROMPT_FILE" - - # if we hit n_predict instead of reverse-prompt, we need to add the prompt - if [[ "$(tail -n1 "$CUR_PROMPT_FILE")" != "${USER_NAME}:" ]]; then - printf '\n%s:' "$USER_NAME" - printf '\n%s:' "$USER_NAME" >> "$CUR_PROMPT_FILE" - fi - - printf ' ' - - # HACK get num tokens from debug message - # TODO get both messages in one go - if ! session_size_msg="$(tail -n30 "$LOG" | grep -oE "$SESSION_SIZE_MSG_PATTERN")" || - ! sample_time_msg="$( tail -n10 "$LOG" | grep -oE "$SAMPLE_TIME_MSG_PATTERN")"; then - echo >&2 "Couldn't get number of tokens from ./main output!" - exit 1 - fi - - n_tokens=$(($(cut -d/ -f2 <<<"$session_size_msg") + $(cut -d/ -f2 <<<"$sample_time_msg"))) - - if ((n_tokens > CTX_ROTATE_POINT)); then - tail -c+$((n_prompt_len_pre + 1)) "$CUR_PROMPT_FILE" >>"$NEXT_PROMPT_FILE" - fi - - # Update cache for next prompt in background, ideally during user input - ./main >>"$LOG_BG" 2>&1 "${OPTS[@]}" \ - --prompt-cache "$NEXT_PROMPT_CACHE" \ - --file "$NEXT_PROMPT_FILE" \ - --n_predict 1 & -done diff --git a/llama.cpp/examples/chat-vicuna.sh b/llama.cpp/examples/chat-vicuna.sh deleted file mode 100755 index 8c7b7be..0000000 --- a/llama.cpp/examples/chat-vicuna.sh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/bash - -set -e - -cd "$(dirname "$0")/.." || exit - -MODEL="${MODEL:-./models/ggml-vic13b-uncensored-q5_0.bin}" -PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat.txt} -USER_NAME="### Human" -AI_NAME="### Assistant" - -# Adjust to the number of CPU cores you want to use. -N_THREAD="${N_THREAD:-8}" -# Number of tokens to predict (made it larger than default because we want a long interaction) -N_PREDICTS="${N_PREDICTS:-2048}" - -# Note: you can also override the generation options by specifying them on the command line: -# For example, override the context size by doing: ./chatLLaMa --ctx_size 1024 -GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_last_n 256 --batch_size 1024 --repeat_penalty 1.17647}" - -DATE_TIME=$(date +%H:%M) -DATE_YEAR=$(date +%Y) - -PROMPT_FILE=$(mktemp -t llamacpp_prompt.XXXXXXX.txt) - -sed -e "s/\[\[USER_NAME\]\]/$USER_NAME/g" \ - -e "s/\[\[AI_NAME\]\]/$AI_NAME/g" \ - -e "s/\[\[DATE_TIME\]\]/$DATE_TIME/g" \ - -e "s/\[\[DATE_YEAR\]\]/$DATE_YEAR/g" \ - $PROMPT_TEMPLATE > $PROMPT_FILE - -# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS -./bin/main $GEN_OPTIONS \ - --model "$MODEL" \ - --threads "$N_THREAD" \ - --n_predict "$N_PREDICTS" \ - --color --interactive \ - --file ${PROMPT_FILE} \ - --reverse-prompt "### Human:" \ - --in-prefix ' ' \ - "$@" diff --git a/llama.cpp/examples/chat.sh b/llama.cpp/examples/chat.sh deleted file mode 100755 index 9a928ef..0000000 --- a/llama.cpp/examples/chat.sh +++ /dev/null @@ -1,16 +0,0 @@ -#!/bin/bash - -# -# Temporary script - will be removed in the future -# - -cd `dirname $0` -cd .. - -# Important: -# -# "--keep 48" is based on the contents of prompts/chat-with-bob.txt -# -./main -m ./models/7B/ggml-model-q4_0.bin -c 512 -b 1024 -n 256 --keep 48 \ - --repeat_penalty 1.0 --color -i \ - -r "User:" -f prompts/chat-with-bob.txt diff --git a/llama.cpp/examples/common.cpp b/llama.cpp/examples/common.cpp deleted file mode 100644 index e643984..0000000 --- a/llama.cpp/examples/common.cpp +++ /dev/null @@ -1,1065 +0,0 @@ -#include "common.h" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#if defined(__APPLE__) && defined(__MACH__) -#include -#include -#endif - -#if defined(_WIN32) -#define WIN32_LEAN_AND_MEAN -#define NOMINMAX -#include -#include -#include -#else -#include -#include -#include -#endif - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -int32_t get_num_physical_cores() { -#ifdef __linux__ - // enumerate the set of thread siblings, num entries is num cores - std::unordered_set siblings; - for (uint32_t cpu=0; cpu < UINT32_MAX; ++cpu) { - std::ifstream thread_siblings("/sys/devices/system/cpu" - + std::to_string(cpu) + "/topology/thread_siblings"); - if (!thread_siblings.is_open()) { - break; // no more cpus - } - std::string line; - if (std::getline(thread_siblings, line)) { - siblings.insert(line); - } - } - if (siblings.size() > 0) { - return static_cast(siblings.size()); - } -#elif defined(__APPLE__) && defined(__MACH__) - int32_t num_physical_cores; - size_t len = sizeof(num_physical_cores); - int result = sysctlbyname("hw.perflevel0.physicalcpu", &num_physical_cores, &len, NULL, 0); - if (result == 0) { - return num_physical_cores; - } - result = sysctlbyname("hw.physicalcpu", &num_physical_cores, &len, NULL, 0); - if (result == 0) { - return num_physical_cores; - } -#elif defined(_WIN32) - //TODO: Implement -#endif - unsigned int n_threads = std::thread::hardware_concurrency(); - return n_threads > 0 ? (n_threads <= 4 ? n_threads : n_threads / 2) : 4; -} - -void process_escapes(std::string& input) { - std::size_t input_len = input.length(); - std::size_t output_idx = 0; - - for (std::size_t input_idx = 0; input_idx < input_len; ++input_idx) { - if (input[input_idx] == '\\' && input_idx + 1 < input_len) { - switch (input[++input_idx]) { - case 'n': input[output_idx++] = '\n'; break; - case 'r': input[output_idx++] = '\r'; break; - case 't': input[output_idx++] = '\t'; break; - case '\'': input[output_idx++] = '\''; break; - case '\"': input[output_idx++] = '\"'; break; - case '\\': input[output_idx++] = '\\'; break; - default: input[output_idx++] = '\\'; - input[output_idx++] = input[input_idx]; break; - } - } else { - input[output_idx++] = input[input_idx]; - } - } - - input.resize(output_idx); -} - -bool gpt_params_parse(int argc, char ** argv, gpt_params & params) { - bool invalid_param = false; - bool escape_prompt = false; - std::string arg; - gpt_params default_params; - const std::string arg_prefix = "--"; - - for (int i = 1; i < argc; i++) { - arg = argv[i]; - if (arg.compare(0, arg_prefix.size(), arg_prefix) == 0) { - std::replace(arg.begin(), arg.end(), '_', '-'); - } - - if (arg == "-s" || arg == "--seed") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.seed = std::stoul(argv[i]); - } else if (arg == "-t" || arg == "--threads") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_threads = std::stoi(argv[i]); - if (params.n_threads <= 0) { - params.n_threads = std::thread::hardware_concurrency(); - } - } else if (arg == "-p" || arg == "--prompt") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.prompt = argv[i]; - } else if (arg == "-e") { - escape_prompt = true; - } else if (arg == "--prompt-cache") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.path_prompt_cache = argv[i]; - } else if (arg == "--prompt-cache-all") { - params.prompt_cache_all = true; - } else if (arg == "--prompt-cache-ro") { - params.prompt_cache_ro = true; - } else if (arg == "-f" || arg == "--file") { - if (++i >= argc) { - invalid_param = true; - break; - } - std::ifstream file(argv[i]); - if (!file) { - fprintf(stderr, "error: failed to open file '%s'\n", argv[i]); - invalid_param = true; - break; - } - std::copy(std::istreambuf_iterator(file), std::istreambuf_iterator(), back_inserter(params.prompt)); - if (params.prompt.back() == '\n') { - params.prompt.pop_back(); - } - } else if (arg == "-n" || arg == "--n-predict") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_predict = std::stoi(argv[i]); - } else if (arg == "--top-k") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.top_k = std::stoi(argv[i]); - } else if (arg == "-c" || arg == "--ctx-size") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_ctx = std::stoi(argv[i]); - } else if (arg == "-gqa" || arg == "--gqa") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_gqa = std::stoi(argv[i]); - } else if (arg == "-eps" || arg == "--rms-norm-eps") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.rms_norm_eps = std::stof(argv[i]); - } else if (arg == "--rope-freq-base") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.rope_freq_base = std::stof(argv[i]); - } else if (arg == "--rope-freq-scale") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.rope_freq_scale = std::stof(argv[i]); - } else if (arg == "--memory-f32") { - params.memory_f16 = false; - } else if (arg == "--top-p") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.top_p = std::stof(argv[i]); - } else if (arg == "--temp") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.temp = std::stof(argv[i]); - } else if (arg == "--tfs") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.tfs_z = std::stof(argv[i]); - } else if (arg == "--typical") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.typical_p = std::stof(argv[i]); - } else if (arg == "--repeat-last-n") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.repeat_last_n = std::stoi(argv[i]); - } else if (arg == "--repeat-penalty") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.repeat_penalty = std::stof(argv[i]); - } else if (arg == "--frequency-penalty") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.frequency_penalty = std::stof(argv[i]); - } else if (arg == "--presence-penalty") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.presence_penalty = std::stof(argv[i]); - } else if (arg == "--mirostat") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.mirostat = std::stoi(argv[i]); - } else if (arg == "--mirostat-lr") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.mirostat_eta = std::stof(argv[i]); - } else if (arg == "--mirostat-ent") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.mirostat_tau = std::stof(argv[i]); - } else if (arg == "--cfg-negative-prompt") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.cfg_negative_prompt = argv[i]; - } else if (arg == "--cfg-scale") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.cfg_scale = std::stof(argv[i]); - } else if (arg == "-b" || arg == "--batch-size") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_batch = std::stoi(argv[i]); - params.n_batch = std::min(512, params.n_batch); - } else if (arg == "--keep") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_keep = std::stoi(argv[i]); - } else if (arg == "--chunks") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.n_chunks = std::stoi(argv[i]); - } else if (arg == "-m" || arg == "--model") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.model = argv[i]; - } else if (arg == "-a" || arg == "--alias") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.model_alias = argv[i]; - } else if (arg == "--lora") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.lora_adapter = argv[i]; - params.use_mmap = false; - } else if (arg == "--lora-base") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.lora_base = argv[i]; - } else if (arg == "-i" || arg == "--interactive") { - params.interactive = true; - } else if (arg == "--embedding") { - params.embedding = true; - } else if (arg == "--interactive-first") { - params.interactive_first = true; - } else if (arg == "-ins" || arg == "--instruct") { - params.instruct = true; - } else if (arg == "--multiline-input") { - params.multiline_input = true; - } else if (arg == "--color") { - params.use_color = true; - } else if (arg == "--mlock") { - params.use_mlock = true; - } else if (arg == "--gpu-layers" || arg == "-ngl" || arg == "--n-gpu-layers") { - if (++i >= argc) { - invalid_param = true; - break; - } -#ifdef LLAMA_SUPPORTS_GPU_OFFLOAD - params.n_gpu_layers = std::stoi(argv[i]); -#else - fprintf(stderr, "warning: not compiled with GPU offload support, --n-gpu-layers option will be ignored\n"); - fprintf(stderr, "warning: see main README.md for information on enabling GPU BLAS support\n"); -#endif - } else if (arg == "--main-gpu" || arg == "-mg") { - if (++i >= argc) { - invalid_param = true; - break; - } -#ifdef GGML_USE_CUBLAS - params.main_gpu = std::stoi(argv[i]); -#else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.\n"); -#endif - } else if (arg == "--tensor-split" || arg == "-ts") { - if (++i >= argc) { - invalid_param = true; - break; - } -#ifdef GGML_USE_CUBLAS - std::string arg_next = argv[i]; - - // split string by , and / - const std::regex regex{R"([,/]+)"}; - std::sregex_token_iterator it{arg_next.begin(), arg_next.end(), regex, -1}; - std::vector split_arg{it, {}}; - GGML_ASSERT(split_arg.size() <= LLAMA_MAX_DEVICES); - - for (size_t i = 0; i < LLAMA_MAX_DEVICES; ++i) { - if (i < split_arg.size()) { - params.tensor_split[i] = std::stof(split_arg[i]); - } else { - params.tensor_split[i] = 0.0f; - } - } -#else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n"); -#endif // GGML_USE_CUBLAS - } else if (arg == "--mul-mat-q" || arg == "-mmq") { -#ifdef GGML_USE_CUBLAS - params.mul_mat_q = true; -#else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to use mul_mat_q kernels.\n"); -#endif // GGML_USE_CUBLAS - } else if (arg == "--low-vram" || arg == "-lv") { -#ifdef GGML_USE_CUBLAS - params.low_vram = true; -#else - fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n"); -#endif // GGML_USE_CUBLAS - } else if (arg == "--no-mmap") { - params.use_mmap = false; - } else if (arg == "--mtest") { - params.mem_test = true; - } else if (arg == "--numa") { - params.numa = true; - } else if (arg == "--export") { - params.export_cgraph = true; - } else if (arg == "--verbose-prompt") { - params.verbose_prompt = true; - } else if (arg == "-r" || arg == "--reverse-prompt") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.antiprompt.push_back(argv[i]); - } else if (arg == "--perplexity") { - params.perplexity = true; - } else if (arg == "--hellaswag") { - params.hellaswag = true; - } else if (arg == "--hellaswag-tasks") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.hellaswag_tasks = std::stoi(argv[i]); - } else if (arg == "--ignore-eos") { - params.logit_bias[llama_token_eos()] = -INFINITY; - } else if (arg == "--no-penalize-nl") { - params.penalize_nl = false; - } else if (arg == "-l" || arg == "--logit-bias") { - if (++i >= argc) { - invalid_param = true; - break; - } - std::stringstream ss(argv[i]); - llama_token key; - char sign; - std::string value_str; - try { - if (ss >> key && ss >> sign && std::getline(ss, value_str) && (sign == '+' || sign == '-')) { - params.logit_bias[key] = std::stof(value_str) * ((sign == '-') ? -1.0f : 1.0f); - } else { - throw std::exception(); - } - } catch (const std::exception&) { - invalid_param = true; - break; - } - } else if (arg == "-h" || arg == "--help") { - gpt_print_usage(argc, argv, default_params); - exit(0); - } else if (arg == "--random-prompt") { - params.random_prompt = true; - } else if (arg == "--in-prefix-bos") { - params.input_prefix_bos = true; - } else if (arg == "--in-prefix") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.input_prefix = argv[i]; - } else if (arg == "--in-suffix") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.input_suffix = argv[i]; - } else if (arg == "--grammar") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.grammar = argv[i]; - } else if (arg == "--grammar-file") { - if (++i >= argc) { - invalid_param = true; - break; - } - std::ifstream file(argv[i]); - if (!file) { - fprintf(stderr, "error: failed to open file '%s'\n", argv[i]); - invalid_param = true; - break; - } - std::copy( - std::istreambuf_iterator(file), - std::istreambuf_iterator(), - std::back_inserter(params.grammar) - ); - } else { - fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); - gpt_print_usage(argc, argv, default_params); - exit(1); - } - } - if (invalid_param) { - fprintf(stderr, "error: invalid parameter for argument: %s\n", arg.c_str()); - gpt_print_usage(argc, argv, default_params); - exit(1); - } - if (params.prompt_cache_all && - (params.interactive || params.interactive_first || - params.instruct)) { - fprintf(stderr, "error: --prompt-cache-all not supported in interactive mode yet\n"); - gpt_print_usage(argc, argv, default_params); - exit(1); - } - - if (escape_prompt) { - process_escapes(params.prompt); - process_escapes(params.input_prefix); - process_escapes(params.input_suffix); - } - - return true; -} - -void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) { - fprintf(stdout, "usage: %s [options]\n", argv[0]); - fprintf(stdout, "\n"); - fprintf(stdout, "options:\n"); - fprintf(stdout, " -h, --help show this help message and exit\n"); - fprintf(stdout, " -i, --interactive run in interactive mode\n"); - fprintf(stdout, " --interactive-first run in interactive mode and wait for input right away\n"); - fprintf(stdout, " -ins, --instruct run in instruction mode (use with Alpaca models)\n"); - fprintf(stdout, " --multiline-input allows you to write or paste multiple lines without ending each in '\\'\n"); - fprintf(stdout, " -r PROMPT, --reverse-prompt PROMPT\n"); - fprintf(stdout, " halt generation at PROMPT, return control in interactive mode\n"); - fprintf(stdout, " (can be specified more than once for multiple prompts).\n"); - fprintf(stdout, " --color colorise output to distinguish prompt and user input from generations\n"); - fprintf(stdout, " -s SEED, --seed SEED RNG seed (default: -1, use random seed for < 0)\n"); - fprintf(stdout, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads); - fprintf(stdout, " -p PROMPT, --prompt PROMPT\n"); - fprintf(stdout, " prompt to start generation with (default: empty)\n"); - fprintf(stdout, " -e process prompt escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\)\n"); - fprintf(stdout, " --prompt-cache FNAME file to cache prompt state for faster startup (default: none)\n"); - fprintf(stdout, " --prompt-cache-all if specified, saves user input and generations to cache as well.\n"); - fprintf(stdout, " not supported with --interactive or other interactive options\n"); - fprintf(stdout, " --prompt-cache-ro if specified, uses the prompt cache but does not update it.\n"); - fprintf(stdout, " --random-prompt start with a randomized prompt.\n"); - fprintf(stdout, " --in-prefix-bos prefix BOS to user inputs, preceding the `--in-prefix` string\n"); - fprintf(stdout, " --in-prefix STRING string to prefix user inputs with (default: empty)\n"); - fprintf(stdout, " --in-suffix STRING string to suffix after user inputs with (default: empty)\n"); - fprintf(stdout, " -f FNAME, --file FNAME\n"); - fprintf(stdout, " prompt file to start generation.\n"); - fprintf(stdout, " -n N, --n-predict N number of tokens to predict (default: %d, -1 = infinity)\n", params.n_predict); - fprintf(stdout, " -c N, --ctx-size N size of the prompt context (default: %d)\n", params.n_ctx); - fprintf(stdout, " -b N, --batch-size N batch size for prompt processing (default: %d)\n", params.n_batch); - fprintf(stdout, " -gqa N, --gqa N grouped-query attention factor (TEMP!!! use 8 for LLaMAv2 70B) (default: %d)\n", params.n_gqa); - fprintf(stdout, " -eps N, --rms-norm-eps N rms norm eps (TEMP!!! use 1e-5 for LLaMAv2) (default: %.1e)\n", params.rms_norm_eps); - fprintf(stdout, " --top-k N top-k sampling (default: %d, 0 = disabled)\n", params.top_k); - fprintf(stdout, " --top-p N top-p sampling (default: %.1f, 1.0 = disabled)\n", (double)params.top_p); - fprintf(stdout, " --tfs N tail free sampling, parameter z (default: %.1f, 1.0 = disabled)\n", (double)params.tfs_z); - fprintf(stdout, " --typical N locally typical sampling, parameter p (default: %.1f, 1.0 = disabled)\n", (double)params.typical_p); - fprintf(stdout, " --repeat-last-n N last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)\n", params.repeat_last_n); - fprintf(stdout, " --repeat-penalty N penalize repeat sequence of tokens (default: %.1f, 1.0 = disabled)\n", (double)params.repeat_penalty); - fprintf(stdout, " --presence-penalty N repeat alpha presence penalty (default: %.1f, 0.0 = disabled)\n", (double)params.presence_penalty); - fprintf(stdout, " --frequency-penalty N repeat alpha frequency penalty (default: %.1f, 0.0 = disabled)\n", (double)params.frequency_penalty); - fprintf(stdout, " --mirostat N use Mirostat sampling.\n"); - fprintf(stdout, " Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used.\n"); - fprintf(stdout, " (default: %d, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)\n", params.mirostat); - fprintf(stdout, " --mirostat-lr N Mirostat learning rate, parameter eta (default: %.1f)\n", (double)params.mirostat_eta); - fprintf(stdout, " --mirostat-ent N Mirostat target entropy, parameter tau (default: %.1f)\n", (double)params.mirostat_tau); - fprintf(stdout, " -l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS\n"); - fprintf(stdout, " modifies the likelihood of token appearing in the completion,\n"); - fprintf(stdout, " i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',\n"); - fprintf(stdout, " or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'\n"); - fprintf(stdout, " --grammar GRAMMAR BNF-like grammar to constrain generations (see samples in grammars/ dir)\n"); - fprintf(stdout, " --grammar-file FNAME file to read grammar from\n"); - fprintf(stdout, " --cfg-negative-prompt PROMPT \n"); - fprintf(stdout, " negative prompt to use for guidance. (default: empty)\n"); - fprintf(stdout, " --cfg-scale N strength of guidance (default: %f, 1.0 = disable)\n", params.cfg_scale); - fprintf(stdout, " --rope-freq-base N RoPE base frequency (default: %.1f)\n", params.rope_freq_base); - fprintf(stdout, " --rope-freq-scale N RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale); - fprintf(stdout, " --ignore-eos ignore end of stream token and continue generating (implies --logit-bias 2-inf)\n"); - fprintf(stdout, " --no-penalize-nl do not penalize newline token\n"); - fprintf(stdout, " --memory-f32 use f32 instead of f16 for memory key+value (default: disabled)\n"); - fprintf(stdout, " not recommended: doubles context memory required and no measurable increase in quality\n"); - fprintf(stdout, " --temp N temperature (default: %.1f)\n", (double)params.temp); - fprintf(stdout, " --perplexity compute perplexity over each ctx window of the prompt\n"); - fprintf(stdout, " --hellaswag compute HellaSwag score over random tasks from datafile supplied with -f\n"); - fprintf(stdout, " --hellaswag-tasks N number of tasks to use when computing the HellaSwag score (default: %d)\n", params.hellaswag_tasks); - fprintf(stdout, " --keep N number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep); - fprintf(stdout, " --chunks N max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks); - if (llama_mlock_supported()) { - fprintf(stdout, " --mlock force system to keep model in RAM rather than swapping or compressing\n"); - } - if (llama_mmap_supported()) { - fprintf(stdout, " --no-mmap do not memory-map model (slower load but may reduce pageouts if not using mlock)\n"); - } - fprintf(stdout, " --numa attempt optimizations that help on some NUMA systems\n"); - fprintf(stdout, " if run without this previously, it is recommended to drop the system page cache before using this\n"); - fprintf(stdout, " see https://github.com/ggerganov/llama.cpp/issues/1437\n"); -#ifdef LLAMA_SUPPORTS_GPU_OFFLOAD - fprintf(stdout, " -ngl N, --n-gpu-layers N\n"); - fprintf(stdout, " number of layers to store in VRAM\n"); - fprintf(stdout, " -ts SPLIT --tensor-split SPLIT\n"); - fprintf(stdout, " how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n"); - fprintf(stdout, " -mg i, --main-gpu i the GPU to use for scratch and small tensors\n" ); - fprintf(stdout, " -lv, --low-vram don't allocate VRAM scratch buffer\n" ); - fprintf(stdout, " -mmq, --mul-mat-q use experimental mul_mat_q CUDA kernels instead of cuBLAS. TEMP!!!\n" ); - fprintf(stdout, " Reduces VRAM usage by 700/970/1430 MiB for 7b/13b/33b but prompt processing speed\n" ); - fprintf(stdout, " is still suboptimal, especially q2_K, q3_K, q5_K, and q6_K.\n" ); -#endif - fprintf(stdout, " --mtest compute maximum memory usage\n"); - fprintf(stdout, " --export export the computation graph to 'llama.ggml'\n"); - fprintf(stdout, " --verbose-prompt print prompt before generation\n"); - fprintf(stdout, " --lora FNAME apply LoRA adapter (implies --no-mmap)\n"); - fprintf(stdout, " --lora-base FNAME optional model to use as a base for the layers modified by the LoRA adapter\n"); - fprintf(stdout, " -m FNAME, --model FNAME\n"); - fprintf(stdout, " model path (default: %s)\n", params.model.c_str()); - fprintf(stdout, "\n"); -} - -std::string gpt_random_prompt(std::mt19937 & rng) { - const int r = rng() % 10; - switch (r) { - case 0: return "So"; - case 1: return "Once upon a time"; - case 2: return "When"; - case 3: return "The"; - case 4: return "After"; - case 5: return "If"; - case 6: return "import"; - case 7: return "He"; - case 8: return "She"; - case 9: return "They"; - default: return "To"; - } - - return "The"; -} - -// TODO: not great allocating this every time -std::vector llama_tokenize(struct llama_context * ctx, const std::string & text, bool add_bos) { - // initialize to prompt numer of chars, since n_tokens <= n_prompt_chars - std::vector res(text.size() + (int) add_bos); - const int n = llama_tokenize(ctx, text.c_str(), res.data(), res.size(), add_bos); - assert(n >= 0); - res.resize(n); - - return res; -} - -struct llama_context_params llama_context_params_from_gpt_params(const gpt_params & params) { - auto lparams = llama_context_default_params(); - - lparams.n_ctx = params.n_ctx; - lparams.n_batch = params.n_batch; - lparams.n_gqa = params.n_gqa; - lparams.rms_norm_eps = params.rms_norm_eps; - lparams.n_gpu_layers = params.n_gpu_layers; - lparams.main_gpu = params.main_gpu; - lparams.tensor_split = params.tensor_split; - lparams.low_vram = params.low_vram; - lparams.mul_mat_q = params.mul_mat_q; - lparams.seed = params.seed; - lparams.f16_kv = params.memory_f16; - lparams.use_mmap = params.use_mmap; - lparams.use_mlock = params.use_mlock; - lparams.logits_all = params.perplexity; - lparams.embedding = params.embedding; - lparams.rope_freq_base = params.rope_freq_base; - lparams.rope_freq_scale = params.rope_freq_scale; - - return lparams; -} - -std::tuple llama_init_from_gpt_params(const gpt_params & params) { - auto lparams = llama_context_params_from_gpt_params(params); - - llama_model * model = llama_load_model_from_file(params.model.c_str(), lparams); - if (model == NULL) { - fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str()); - return std::make_tuple(nullptr, nullptr); - } - - llama_context * lctx = llama_new_context_with_model(model, lparams); - if (lctx == NULL) { - fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, params.model.c_str()); - llama_free_model(model); - return std::make_tuple(nullptr, nullptr); - } - - if (!params.lora_adapter.empty()) { - int err = llama_model_apply_lora_from_file(model, - params.lora_adapter.c_str(), - params.lora_base.empty() ? NULL : params.lora_base.c_str(), - params.n_threads); - if (err != 0) { - fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__); - llama_free(lctx); - llama_free_model(model); - return std::make_tuple(nullptr, nullptr); - } - } - - return std::make_tuple(model, lctx); -} - -void console_init(console_state & con_st) { -#if defined(_WIN32) - // Windows-specific console initialization - DWORD dwMode = 0; - con_st.hConsole = GetStdHandle(STD_OUTPUT_HANDLE); - if (con_st.hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(con_st.hConsole, &dwMode)) { - con_st.hConsole = GetStdHandle(STD_ERROR_HANDLE); - if (con_st.hConsole != INVALID_HANDLE_VALUE && (!GetConsoleMode(con_st.hConsole, &dwMode))) { - con_st.hConsole = NULL; - } - } - if (con_st.hConsole) { - // Enable ANSI colors on Windows 10+ - if (con_st.use_color && !(dwMode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)) { - SetConsoleMode(con_st.hConsole, dwMode | ENABLE_VIRTUAL_TERMINAL_PROCESSING); - } - // Set console output codepage to UTF8 - SetConsoleOutputCP(CP_UTF8); - } - HANDLE hConIn = GetStdHandle(STD_INPUT_HANDLE); - if (hConIn != INVALID_HANDLE_VALUE && GetConsoleMode(hConIn, &dwMode)) { - // Set console input codepage to UTF16 - _setmode(_fileno(stdin), _O_WTEXT); - - // Turn off ICANON (ENABLE_LINE_INPUT) and ECHO (ENABLE_ECHO_INPUT) - dwMode &= ~(ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT); - SetConsoleMode(hConIn, dwMode); - } -#else - // POSIX-specific console initialization - struct termios new_termios; - tcgetattr(STDIN_FILENO, &con_st.prev_state); - new_termios = con_st.prev_state; - new_termios.c_lflag &= ~(ICANON | ECHO); - new_termios.c_cc[VMIN] = 1; - new_termios.c_cc[VTIME] = 0; - tcsetattr(STDIN_FILENO, TCSANOW, &new_termios); - - con_st.tty = fopen("/dev/tty", "w+"); - if (con_st.tty != nullptr) { - con_st.out = con_st.tty; - } - - setlocale(LC_ALL, ""); -#endif -} - -void console_cleanup(console_state & con_st) { - // Reset console color - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); - -#if !defined(_WIN32) - if (con_st.tty != nullptr) { - con_st.out = stdout; - fclose(con_st.tty); - con_st.tty = nullptr; - } - // Restore the terminal settings on POSIX systems - tcsetattr(STDIN_FILENO, TCSANOW, &con_st.prev_state); -#endif -} - -/* Keep track of current color of output, and emit ANSI code if it changes. */ -void console_set_color(console_state & con_st, console_color_t color) { - if (con_st.use_color && con_st.color != color) { - fflush(stdout); - switch(color) { - case CONSOLE_COLOR_DEFAULT: - fprintf(con_st.out, ANSI_COLOR_RESET); - break; - case CONSOLE_COLOR_PROMPT: - fprintf(con_st.out, ANSI_COLOR_YELLOW); - break; - case CONSOLE_COLOR_USER_INPUT: - fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_GREEN); - break; - case CONSOLE_COLOR_ERROR: - fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_RED); - break; - } - con_st.color = color; - fflush(con_st.out); - } -} - -char32_t getchar32() { -#if defined(_WIN32) - HANDLE hConsole = GetStdHandle(STD_INPUT_HANDLE); - wchar_t high_surrogate = 0; - - while (true) { - INPUT_RECORD record; - DWORD count; - if (!ReadConsoleInputW(hConsole, &record, 1, &count) || count == 0) { - return WEOF; - } - - if (record.EventType == KEY_EVENT && record.Event.KeyEvent.bKeyDown) { - wchar_t wc = record.Event.KeyEvent.uChar.UnicodeChar; - if (wc == 0) { - continue; - } - - if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate - high_surrogate = wc; - continue; - } else if ((wc >= 0xDC00) && (wc <= 0xDFFF)) { // Check if wc is a low surrogate - if (high_surrogate != 0) { // Check if we have a high surrogate - return ((high_surrogate - 0xD800) << 10) + (wc - 0xDC00) + 0x10000; - } - } - - high_surrogate = 0; // Reset the high surrogate - return static_cast(wc); - } - } -#else - wchar_t wc = getwchar(); - if (static_cast(wc) == WEOF) { - return WEOF; - } - -#if WCHAR_MAX == 0xFFFF - if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate - wchar_t low_surrogate = getwchar(); - if ((low_surrogate >= 0xDC00) && (low_surrogate <= 0xDFFF)) { // Check if the next wchar is a low surrogate - return (static_cast(wc & 0x03FF) << 10) + (low_surrogate & 0x03FF) + 0x10000; - } - } - if ((wc >= 0xD800) && (wc <= 0xDFFF)) { // Invalid surrogate pair - return 0xFFFD; // Return the replacement character U+FFFD - } -#endif - - return static_cast(wc); -#endif -} - -void pop_cursor(console_state & con_st) { -#if defined(_WIN32) - if (con_st.hConsole != NULL) { - CONSOLE_SCREEN_BUFFER_INFO bufferInfo; - GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo); - - COORD newCursorPosition = bufferInfo.dwCursorPosition; - if (newCursorPosition.X == 0) { - newCursorPosition.X = bufferInfo.dwSize.X - 1; - newCursorPosition.Y -= 1; - } else { - newCursorPosition.X -= 1; - } - - SetConsoleCursorPosition(con_st.hConsole, newCursorPosition); - return; - } -#endif - putc('\b', con_st.out); -} - -int estimateWidth(char32_t codepoint) { -#if defined(_WIN32) - return 1; -#else - return wcwidth(codepoint); -#endif -} - -int put_codepoint(console_state & con_st, const char* utf8_codepoint, size_t length, int expectedWidth) { -#if defined(_WIN32) - CONSOLE_SCREEN_BUFFER_INFO bufferInfo; - if (!GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo)) { - // go with the default - return expectedWidth; - } - COORD initialPosition = bufferInfo.dwCursorPosition; - DWORD nNumberOfChars = length; - WriteConsole(con_st.hConsole, utf8_codepoint, nNumberOfChars, &nNumberOfChars, NULL); - - CONSOLE_SCREEN_BUFFER_INFO newBufferInfo; - GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo); - - // Figure out our real position if we're in the last column - if (utf8_codepoint[0] != 0x09 && initialPosition.X == newBufferInfo.dwSize.X - 1) { - DWORD nNumberOfChars; - WriteConsole(con_st.hConsole, &" \b", 2, &nNumberOfChars, NULL); - GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo); - } - - int width = newBufferInfo.dwCursorPosition.X - initialPosition.X; - if (width < 0) { - width += newBufferInfo.dwSize.X; - } - return width; -#else - // we can trust expectedWidth if we've got one - if (expectedWidth >= 0 || con_st.tty == nullptr) { - fwrite(utf8_codepoint, length, 1, con_st.out); - return expectedWidth; - } - - fputs("\033[6n", con_st.tty); // Query cursor position - int x1, x2, y1, y2; - int results = 0; - results = fscanf(con_st.tty, "\033[%d;%dR", &y1, &x1); - - fwrite(utf8_codepoint, length, 1, con_st.tty); - - fputs("\033[6n", con_st.tty); // Query cursor position - results += fscanf(con_st.tty, "\033[%d;%dR", &y2, &x2); - - if (results != 4) { - return expectedWidth; - } - - int width = x2 - x1; - if (width < 0) { - // Calculate the width considering text wrapping - struct winsize w; - ioctl(STDOUT_FILENO, TIOCGWINSZ, &w); - width += w.ws_col; - } - return width; -#endif -} - -void replace_last(console_state & con_st, char ch) { -#if defined(_WIN32) - pop_cursor(con_st); - put_codepoint(con_st, &ch, 1, 1); -#else - fprintf(con_st.out, "\b%c", ch); -#endif -} - -void append_utf8(char32_t ch, std::string & out) { - if (ch <= 0x7F) { - out.push_back(static_cast(ch)); - } else if (ch <= 0x7FF) { - out.push_back(static_cast(0xC0 | ((ch >> 6) & 0x1F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else if (ch <= 0xFFFF) { - out.push_back(static_cast(0xE0 | ((ch >> 12) & 0x0F))); - out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else if (ch <= 0x10FFFF) { - out.push_back(static_cast(0xF0 | ((ch >> 18) & 0x07))); - out.push_back(static_cast(0x80 | ((ch >> 12) & 0x3F))); - out.push_back(static_cast(0x80 | ((ch >> 6) & 0x3F))); - out.push_back(static_cast(0x80 | (ch & 0x3F))); - } else { - // Invalid Unicode code point - } -} - -// Helper function to remove the last UTF-8 character from a string -void pop_back_utf8_char(std::string & line) { - if (line.empty()) { - return; - } - - size_t pos = line.length() - 1; - - // Find the start of the last UTF-8 character (checking up to 4 bytes back) - for (size_t i = 0; i < 3 && pos > 0; ++i, --pos) { - if ((line[pos] & 0xC0) != 0x80) break; // Found the start of the character - } - line.erase(pos); -} - -bool console_readline(console_state & con_st, std::string & line) { - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - if (con_st.out != stdout) { - fflush(stdout); - } - - line.clear(); - std::vector widths; - bool is_special_char = false; - bool end_of_stream = false; - - char32_t input_char; - while (true) { - fflush(con_st.out); // Ensure all output is displayed before waiting for input - input_char = getchar32(); - - if (input_char == '\r' || input_char == '\n') { - break; - } - - if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) { - end_of_stream = true; - break; - } - - if (is_special_char) { - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - replace_last(con_st, line.back()); - is_special_char = false; - } - - if (input_char == '\033') { // Escape sequence - char32_t code = getchar32(); - if (code == '[' || code == 0x1B) { - // Discard the rest of the escape sequence - while ((code = getchar32()) != (char32_t) WEOF) { - if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') { - break; - } - } - } - } else if (input_char == 0x08 || input_char == 0x7F) { // Backspace - if (!widths.empty()) { - int count; - do { - count = widths.back(); - widths.pop_back(); - // Move cursor back, print space, and move cursor back again - for (int i = 0; i < count; i++) { - replace_last(con_st, ' '); - pop_cursor(con_st); - } - pop_back_utf8_char(line); - } while (count == 0 && !widths.empty()); - } - } else { - int offset = line.length(); - append_utf8(input_char, line); - int width = put_codepoint(con_st, line.c_str() + offset, line.length() - offset, estimateWidth(input_char)); - if (width < 0) { - width = 0; - } - widths.push_back(width); - } - - if (!line.empty() && (line.back() == '\\' || line.back() == '/')) { - console_set_color(con_st, CONSOLE_COLOR_PROMPT); - replace_last(con_st, line.back()); - is_special_char = true; - } - } - - bool has_more = con_st.multiline_input; - if (is_special_char) { - replace_last(con_st, ' '); - pop_cursor(con_st); - - char last = line.back(); - line.pop_back(); - if (last == '\\') { - line += '\n'; - fputc('\n', con_st.out); - has_more = !has_more; - } else { - // llama will just eat the single space, it won't act as a space - if (line.length() == 1 && line.back() == ' ') { - line.clear(); - pop_cursor(con_st); - } - has_more = false; - } - } else { - if (end_of_stream) { - has_more = false; - } else { - line += '\n'; - fputc('\n', con_st.out); - } - } - - fflush(con_st.out); - return has_more; -} diff --git a/llama.cpp/examples/common.h b/llama.cpp/examples/common.h deleted file mode 100644 index 9744842..0000000 --- a/llama.cpp/examples/common.h +++ /dev/null @@ -1,157 +0,0 @@ -// Various helper functions and utilities - -#pragma once - -#include "llama.h" - -#include -#include -#include -#include -#include -#include - -#if !defined (_WIN32) -#include -#include -#endif - -// -// CLI argument parsing -// -int32_t get_num_physical_cores(); - -struct gpt_params { - uint32_t seed = -1; // RNG seed - int32_t n_threads = get_num_physical_cores(); - int32_t n_predict = -1; // new tokens to predict - int32_t n_ctx = 512; // context size - int32_t n_batch = 512; // batch size for prompt processing (must be >=32 to use BLAS) - int32_t n_gqa = 1; // grouped-query attention factor (TODO: move to hparams) - int32_t n_keep = 0; // number of tokens to keep from initial prompt - int32_t n_chunks = -1; // max number of chunks to process (-1 = unlimited) - int32_t n_gpu_layers = 0; // number of layers to store in VRAM - int32_t main_gpu = 0; // the GPU that is used for scratch and small tensors - float tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs - int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens. - float rms_norm_eps = LLAMA_DEFAULT_RMS_EPS; // rms norm epsilon - float rope_freq_base = 10000.0f; // RoPE base frequency - float rope_freq_scale = 1.0f; // RoPE frequency scaling factor - - // sampling parameters - std::unordered_map logit_bias; // logit bias for specific tokens - int32_t top_k = 40; // <= 0 to use vocab size - float top_p = 0.95f; // 1.0 = disabled - float tfs_z = 1.00f; // 1.0 = disabled - float typical_p = 1.00f; // 1.0 = disabled - float temp = 0.80f; // 1.0 = disabled - float repeat_penalty = 1.10f; // 1.0 = disabled - int32_t repeat_last_n = 64; // last n tokens to penalize (0 = disable penalty, -1 = context size) - float frequency_penalty = 0.00f; // 0.0 = disabled - float presence_penalty = 0.00f; // 0.0 = disabled - int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0 - float mirostat_tau = 5.00f; // target entropy - float mirostat_eta = 0.10f; // learning rate - - // Classifier-Free Guidance - // https://arxiv.org/abs/2306.17806 - std::string cfg_negative_prompt; // string to help guidance - float cfg_scale = 1.f; // How strong is guidance - - std::string model = "models/7B/ggml-model.bin"; // model path - std::string model_alias = "unknown"; // model alias - std::string prompt = ""; - std::string path_prompt_cache = ""; // path to file for saving/loading prompt eval state - std::string input_prefix = ""; // string to prefix user inputs with - std::string input_suffix = ""; // string to suffix user inputs with - std::string grammar = ""; // optional BNF-like grammar to constrain sampling - std::vector antiprompt; // string upon seeing which more user input is prompted - - std::string lora_adapter = ""; // lora adapter path - std::string lora_base = ""; // base model path for the lora adapter - - bool hellaswag = false; // compute HellaSwag score over random tasks from datafile supplied in prompt - size_t hellaswag_tasks = 400; // number of tasks to use when computing the HellaSwag score - - bool low_vram = false; // if true, reduce VRAM usage at the cost of performance - bool mul_mat_q = false; // if true, use experimental mul_mat_q kernels - bool memory_f16 = true; // use f16 instead of f32 for memory kv - bool random_prompt = false; // do not randomize prompt if none provided - bool use_color = false; // use color to distinguish generations and inputs - bool interactive = false; // interactive mode - bool prompt_cache_all = false; // save user input and generations to prompt cache - bool prompt_cache_ro = false; // open the prompt cache read-only and do not update it - - bool embedding = false; // get only sentence embedding - bool interactive_first = false; // wait for user input immediately - bool multiline_input = false; // reverse the usage of `\` - - bool input_prefix_bos = false; // prefix BOS to user inputs, preceding input_prefix - bool instruct = false; // instruction mode (used for Alpaca models) - bool penalize_nl = true; // consider newlines as a repeatable token - bool perplexity = false; // compute perplexity over the prompt - bool use_mmap = true; // use mmap for faster loads - bool use_mlock = false; // use mlock to keep model in memory - bool mem_test = false; // compute maximum memory usage - bool numa = false; // attempt optimizations that help on some NUMA systems - bool export_cgraph = false; // export the computation graph - bool verbose_prompt = false; // print prompt tokens before generation -}; - -bool gpt_params_parse(int argc, char ** argv, gpt_params & params); - -void gpt_print_usage(int argc, char ** argv, const gpt_params & params); - -std::string gpt_random_prompt(std::mt19937 & rng); - -// -// Vocab utils -// - -std::vector llama_tokenize(struct llama_context * ctx, const std::string & text, bool add_bos); - -// -// Model utils -// - -std::tuple llama_init_from_gpt_params(const gpt_params & params); -struct llama_context_params llama_context_params_from_gpt_params(const gpt_params & params); - -// -// Console utils -// - -#define ANSI_COLOR_RED "\x1b[31m" -#define ANSI_COLOR_GREEN "\x1b[32m" -#define ANSI_COLOR_YELLOW "\x1b[33m" -#define ANSI_COLOR_BLUE "\x1b[34m" -#define ANSI_COLOR_MAGENTA "\x1b[35m" -#define ANSI_COLOR_CYAN "\x1b[36m" -#define ANSI_COLOR_RESET "\x1b[0m" -#define ANSI_BOLD "\x1b[1m" - -enum console_color_t { - CONSOLE_COLOR_DEFAULT=0, - CONSOLE_COLOR_PROMPT, - CONSOLE_COLOR_USER_INPUT, - CONSOLE_COLOR_ERROR -}; - -struct console_state { - bool multiline_input = false; - bool use_color = false; - console_color_t color = CONSOLE_COLOR_DEFAULT; - - FILE* out = stdout; -#if defined (_WIN32) - void* hConsole; -#else - FILE* tty = nullptr; - termios prev_state; -#endif -}; - -void console_init(console_state & con_st); -void console_cleanup(console_state & con_st); -void console_set_color(console_state & con_st, console_color_t color); -bool console_readline(console_state & con_st, std::string & line); diff --git a/llama.cpp/examples/embd-input/.gitignore b/llama.cpp/examples/embd-input/.gitignore deleted file mode 100644 index 87ef687..0000000 --- a/llama.cpp/examples/embd-input/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -PandaGPT -MiniGPT-4 -*.pth - diff --git a/llama.cpp/examples/embd-input/CMakeLists.txt b/llama.cpp/examples/embd-input/CMakeLists.txt deleted file mode 100644 index 5bbb1ea..0000000 --- a/llama.cpp/examples/embd-input/CMakeLists.txt +++ /dev/null @@ -1,17 +0,0 @@ -set(TARGET embdinput) -add_library(${TARGET} embd-input-lib.cpp embd-input.h) -install(TARGETS ${TARGET} LIBRARY) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() - -set(TARGET embd-input-test) -add_executable(${TARGET} embd-input-test.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama embdinput ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/embd-input/README.md b/llama.cpp/examples/embd-input/README.md deleted file mode 100644 index 5c4c75e..0000000 --- a/llama.cpp/examples/embd-input/README.md +++ /dev/null @@ -1,63 +0,0 @@ -### Examples for input embedding directly - -## Requirement -build `libembdinput.so` -run the following comman in main dir (../../). -``` -make -``` - -## [LLaVA](https://github.com/haotian-liu/LLaVA/) example (llava.py) - -1. Obtian LLaVA model (following https://github.com/haotian-liu/LLaVA/ , use https://huggingface.co/liuhaotian/LLaVA-13b-delta-v1-1/). -2. Convert it to ggml format. -3. `llava_projection.pth` is [pytorch_model-00003-of-00003.bin](https://huggingface.co/liuhaotian/LLaVA-13b-delta-v1-1/blob/main/pytorch_model-00003-of-00003.bin). - -``` -import torch - -bin_path = "../LLaVA-13b-delta-v1-1/pytorch_model-00003-of-00003.bin" -pth_path = "./examples/embd-input/llava_projection.pth" - -dic = torch.load(bin_path) -used_key = ["model.mm_projector.weight","model.mm_projector.bias"] -torch.save({k: dic[k] for k in used_key}, pth_path) -``` -4. Check the path of LLaVA model and `llava_projection.pth` in `llava.py`. - - -## [PandaGPT](https://github.com/yxuansu/PandaGPT) example (panda_gpt.py) - -1. Obtian PandaGPT lora model from https://github.com/yxuansu/PandaGPT. Rename the file to `adapter_model.bin`. Use [convert-lora-to-ggml.py](../../convert-lora-to-ggml.py) to convert it to ggml format. -The `adapter_config.json` is -``` -{ - "peft_type": "LORA", - "fan_in_fan_out": false, - "bias": null, - "modules_to_save": null, - "r": 32, - "lora_alpha": 32, - "lora_dropout": 0.1, - "target_modules": ["q_proj", "k_proj", "v_proj", "o_proj"] -} -``` -2. Papare the `vicuna` v0 model. -3. Obtain the [ImageBind](https://dl.fbaipublicfiles.com/imagebind/imagebind_huge.pth) model. -4. Clone the PandaGPT source. -``` -git clone https://github.com/yxuansu/PandaGPT -``` -5. Install the requirement of PandaGPT. -6. Check the path of PandaGPT source, ImageBind model, lora model and vicuna model in panda_gpt.py. - -## [MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4/) example (minigpt4.py) - -1. Obtain MiniGPT-4 model from https://github.com/Vision-CAIR/MiniGPT-4/ and put it in `embd-input`. -2. Clone the MiniGPT-4 source. -``` -git clone https://github.com/Vision-CAIR/MiniGPT-4/ -``` -3. Install the requirement of PandaGPT. -4. Papare the `vicuna` v0 model. -5. Check the path of MiniGPT-4 source, MiniGPT-4 model and vicuna model in `minigpt4.py`. diff --git a/llama.cpp/examples/embd-input/embd-input-lib.cpp b/llama.cpp/examples/embd-input/embd-input-lib.cpp deleted file mode 100644 index 2656382..0000000 --- a/llama.cpp/examples/embd-input/embd-input-lib.cpp +++ /dev/null @@ -1,223 +0,0 @@ -// Defines sigaction on msys: -#ifndef _GNU_SOURCE -#define _GNU_SOURCE -#endif - -#include "embd-input.h" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -static llama_context ** g_ctx; - -extern "C" { - -struct MyModel* create_mymodel(int argc, char ** argv) { - gpt_params params; - - if (gpt_params_parse(argc, argv, params) == false) { - return nullptr; - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - if (params.seed == LLAMA_DEFAULT_SEED) { - params.seed = time(NULL); - } - fprintf(stderr, "%s: seed = %d\n", __func__, params.seed); - - llama_backend_init(params.numa); - - llama_model * model; - llama_context * ctx; - - g_ctx = &ctx; - - // load the model and apply lora adapter, if any - std::tie(model, ctx) = llama_init_from_gpt_params(params); - if (model == NULL) { - fprintf(stderr, "%s: error: unable to load model\n", __func__); - return nullptr; - } - - // print system information - { - fprintf(stderr, "\n"); - fprintf(stderr, "system_info: n_threads = %d / %d | %s\n", - params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info()); - } - struct MyModel * ret = new MyModel(); - ret->ctx = ctx; - ret->params = params; - ret->n_past = 0; - // printf("ctx: %d\n", ret->ctx); - return ret; -} - -void free_mymodel(struct MyModel * mymodel) { - llama_context * ctx = mymodel->ctx; - llama_print_timings(ctx); - llama_free(ctx); - delete mymodel; -} - - -bool eval_float(void * model, float * input, int N){ - MyModel * mymodel = (MyModel*)model; - llama_context * ctx = mymodel->ctx; - gpt_params params = mymodel->params; - int n_emb = llama_n_embd(ctx); - int n_past = mymodel->n_past; - int n_batch = N; // params.n_batch; - - for (int i = 0; i < (int) N; i += n_batch) { - int n_eval = (int) N - i; - if (n_eval > n_batch) { - n_eval = n_batch; - } - if (llama_eval_embd(ctx, (input+i*n_emb), n_eval, n_past, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return false; - } - n_past += n_eval; - } - mymodel->n_past = n_past; - return true; -} - -bool eval_tokens(void * model, std::vector tokens) { - MyModel * mymodel = (MyModel* )model; - llama_context * ctx; - ctx = mymodel->ctx; - gpt_params params = mymodel->params; - int n_past = mymodel->n_past; - for (int i = 0; i < (int) tokens.size(); i += params.n_batch) { - int n_eval = (int) tokens.size() - i; - if (n_eval > params.n_batch) { - n_eval = params.n_batch; - } - if (llama_eval(ctx, &tokens[i], n_eval, n_past, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return false; - } - n_past += n_eval; - } - mymodel->n_past = n_past; - return true; -} - -bool eval_id(struct MyModel* mymodel, int id) { - std::vector tokens; - tokens.push_back(id); - return eval_tokens(mymodel, tokens); -} - -bool eval_string(struct MyModel * mymodel,const char* str){ - llama_context * ctx = mymodel->ctx; - std::string str2 = str; - std::vector embd_inp = ::llama_tokenize(ctx, str2, true); - eval_tokens(mymodel, embd_inp); - return true; -} - -llama_token sampling_id(struct MyModel* mymodel) { - llama_context* ctx = mymodel->ctx; - gpt_params params = mymodel->params; - // int n_ctx = llama_n_ctx(ctx); - - // out of user input, sample next token - const float temp = params.temp; - const int32_t top_k = params.top_k <= 0 ? llama_n_vocab(ctx) : params.top_k; - const float top_p = params.top_p; - const float tfs_z = params.tfs_z; - const float typical_p = params.typical_p; - // const int32_t repeat_last_n = params.repeat_last_n < 0 ? n_ctx : params.repeat_last_n; - // const float repeat_penalty = params.repeat_penalty; - // const float alpha_presence = params.presence_penalty; - // const float alpha_frequency = params.frequency_penalty; - const int mirostat = params.mirostat; - const float mirostat_tau = params.mirostat_tau; - const float mirostat_eta = params.mirostat_eta; - // const bool penalize_nl = params.penalize_nl; - - llama_token id = 0; - { - auto logits = llama_get_logits(ctx); - auto n_vocab = llama_n_vocab(ctx); - - // Apply params.logit_bias map - for (auto it = params.logit_bias.begin(); it != params.logit_bias.end(); it++) { - logits[it->first] += it->second; - } - - std::vector candidates; - candidates.reserve(n_vocab); - for (llama_token token_id = 0; token_id < n_vocab; token_id++) { - candidates.emplace_back(llama_token_data{token_id, logits[token_id], 0.0f}); - } - - llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false }; - - // TODO: Apply penalties - // float nl_logit = logits[llama_token_nl()]; - // auto last_n_repeat = std::min(std::min((int)last_n_tokens.size(), repeat_last_n), n_ctx); - // llama_sample_repetition_penalty(ctx, &candidates_p, - // last_n_tokens.data() + last_n_tokens.size() - last_n_repeat, - // last_n_repeat, repeat_penalty); - // llama_sample_frequency_and_presence_penalties(ctx, &candidates_p, - // last_n_tokens.data() + last_n_tokens.size() - last_n_repeat, - // last_n_repeat, alpha_frequency, alpha_presence); - // if (!penalize_nl) { - // logits[llama_token_nl()] = nl_logit; - // } - - if (temp <= 0) { - // Greedy sampling - id = llama_sample_token_greedy(ctx, &candidates_p); - } else { - if (mirostat == 1) { - static float mirostat_mu = 2.0f * mirostat_tau; - const int mirostat_m = 100; - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token_mirostat(ctx, &candidates_p, mirostat_tau, mirostat_eta, mirostat_m, &mirostat_mu); - } else if (mirostat == 2) { - static float mirostat_mu = 2.0f * mirostat_tau; - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token_mirostat_v2(ctx, &candidates_p, mirostat_tau, mirostat_eta, &mirostat_mu); - } else { - // Temperature sampling - llama_sample_top_k(ctx, &candidates_p, top_k, 1); - llama_sample_tail_free(ctx, &candidates_p, tfs_z, 1); - llama_sample_typical(ctx, &candidates_p, typical_p, 1); - llama_sample_top_p(ctx, &candidates_p, top_p, 1); - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token(ctx, &candidates_p); - } - } - } - - return id; -} - -const char * sampling(struct MyModel * mymodel) { - llama_context * ctx = mymodel->ctx; - int id = sampling_id(mymodel); - static std::string ret; - if (id == llama_token_eos()) { - ret = ""; - } else { - ret = llama_token_to_str(ctx, id); - } - eval_id(mymodel, id); - return ret.c_str(); -} - -} diff --git a/llama.cpp/examples/embd-input/embd-input-test.cpp b/llama.cpp/examples/embd-input/embd-input-test.cpp deleted file mode 100644 index e5e040f..0000000 --- a/llama.cpp/examples/embd-input/embd-input-test.cpp +++ /dev/null @@ -1,35 +0,0 @@ -#include "embd-input.h" -#include -#include -#include - -int main(int argc, char** argv) { - - auto mymodel = create_mymodel(argc, argv); - int N = 10; - int max_tgt_len = 500; - int n_embd = llama_n_embd(mymodel->ctx); - - // add random float embd to test evaluation - float * data = new float[N*n_embd]; - std::default_random_engine e; - std::uniform_real_distribution u(0,1); - for (int i=0;iparams.prompt.c_str()); - const char* tmp; - for (int i=0; i")==0) break; - printf("%s", tmp); - fflush(stdout); - } - printf("\n"); - free_mymodel(mymodel); - return 0; -} diff --git a/llama.cpp/examples/embd-input/embd-input.h b/llama.cpp/examples/embd-input/embd-input.h deleted file mode 100644 index efb5ba5..0000000 --- a/llama.cpp/examples/embd-input/embd-input.h +++ /dev/null @@ -1,28 +0,0 @@ -#ifndef _EMBD_INPUT_H_ -#define _EMBD_INPUT_H_ 1 - -#include "common.h" -#include "llama.h" -#include "build-info.h" - -extern "C" { - -typedef struct MyModel { - llama_context* ctx; - gpt_params params; - int n_past = 0; -} MyModel; - -struct MyModel* create_mymodel(int argc, char ** argv); - -bool eval_float(void* model, float* input, int N); -bool eval_tokens(void* model, std::vector tokens); -bool eval_id(struct MyModel* mymodel, int id); -bool eval_string(struct MyModel* mymodel, const char* str); -const char * sampling(struct MyModel* mymodel); -llama_token sampling_id(struct MyModel* mymodel); -void free_mymodel(struct MyModel* mymodel); - -} - -#endif diff --git a/llama.cpp/examples/embd-input/embd_input.py b/llama.cpp/examples/embd-input/embd_input.py deleted file mode 100644 index be28966..0000000 --- a/llama.cpp/examples/embd-input/embd_input.py +++ /dev/null @@ -1,71 +0,0 @@ -import ctypes -from ctypes import cdll, c_char_p, c_void_p, POINTER, c_float, c_int -import numpy as np -import os - -libc = cdll.LoadLibrary("./libembdinput.so") -libc.sampling.restype=c_char_p -libc.create_mymodel.restype=c_void_p -libc.eval_string.argtypes=[c_void_p, c_char_p] -libc.sampling.argtypes=[c_void_p] -libc.eval_float.argtypes=[c_void_p, POINTER(c_float), c_int] - - -class MyModel: - def __init__(self, args): - argc = len(args) - c_str = [c_char_p(i.encode()) for i in args] - args_c = (c_char_p * argc)(*c_str) - self.model = c_void_p(libc.create_mymodel(argc, args_c)) - self.max_tgt_len = 512 - self.print_string_eval = True - - def __del__(self): - libc.free_mymodel(self.model) - - def eval_float(self, x): - libc.eval_float(self.model, x.astype(np.float32).ctypes.data_as(POINTER(c_float)), x.shape[1]) - - def eval_string(self, x): - libc.eval_string(self.model, x.encode()) # c_char_p(x.encode())) - if self.print_string_eval: - print(x) - - def eval_token(self, x): - libc.eval_id(self.model, x) - - def sampling(self): - s = libc.sampling(self.model) - return s - - def stream_generate(self, end=""): - ret = b"" - end = end.encode() - for _ in range(self.max_tgt_len): - tmp = self.sampling() - ret += tmp - yield tmp - if ret.endswith(end): - break - - def generate_with_print(self, end=""): - ret = b"" - for i in self.stream_generate(end=end): - ret += i - print(i.decode(errors="replace"), end="", flush=True) - print("") - return ret.decode(errors="replace") - - - def generate(self, end=""): - text = b"".join(self.stream_generate(end=end)) - return text.decode(errors="replace") - -if __name__ == "__main__": - model = MyModel(["main", "--model", "../llama.cpp/models/ggml-vic13b-q4_1.bin", "-c", "2048"]) - model.eval_string("""user: what is the color of the flag of UN?""") - x = np.random.random((5120,10))# , dtype=np.float32) - model.eval_float(x) - model.eval_string("""assistant:""") - for i in model.generate(): - print(i.decode(errors="replace"), end="", flush=True) diff --git a/llama.cpp/examples/embd-input/llava.py b/llama.cpp/examples/embd-input/llava.py deleted file mode 100644 index bcbdd2b..0000000 --- a/llama.cpp/examples/embd-input/llava.py +++ /dev/null @@ -1,70 +0,0 @@ -import sys -import os -sys.path.insert(0, os.path.dirname(__file__)) -from embd_input import MyModel -import numpy as np -from torch import nn -import torch -from transformers import CLIPVisionModel, CLIPImageProcessor -from PIL import Image - -# model parameters from 'liuhaotian/LLaVA-13b-delta-v1-1' -vision_tower = "openai/clip-vit-large-patch14" -select_hidden_state_layer = -2 -# (vision_config.image_size // vision_config.patch_size) ** 2 -image_token_len = (224//14)**2 - -class Llava: - def __init__(self, args): - self.image_processor = CLIPImageProcessor.from_pretrained(vision_tower) - self.vision_tower = CLIPVisionModel.from_pretrained(vision_tower) - self.mm_projector = nn.Linear(1024, 5120) - self.model = MyModel(["main", *args]) - - def load_projection(self, path): - state = torch.load(path) - self.mm_projector.load_state_dict({ - "weight": state["model.mm_projector.weight"], - "bias": state["model.mm_projector.bias"]}) - - def chat(self, question): - self.model.eval_string("user: ") - self.model.eval_string(question) - self.model.eval_string("\nassistant: ") - return self.model.generate_with_print() - - def chat_with_image(self, image, question): - with torch.no_grad(): - embd_image = self.image_processor.preprocess(image, return_tensors='pt')['pixel_values'][0] - image_forward_out = self.vision_tower(embd_image.unsqueeze(0), output_hidden_states=True) - select_hidden_state = image_forward_out.hidden_states[select_hidden_state_layer] - image_feature = select_hidden_state[:, 1:] - embd_image = self.mm_projector(image_feature) - embd_image = embd_image.cpu().numpy()[0] - self.model.eval_string("user: ") - self.model.eval_token(32003-2) # im_start - self.model.eval_float(embd_image.T) - for i in range(image_token_len-embd_image.shape[0]): - self.model.eval_token(32003-3) # im_patch - self.model.eval_token(32003-1) # im_end - self.model.eval_string(question) - self.model.eval_string("\nassistant: ") - return self.model.generate_with_print() - - -if __name__=="__main__": - # model form liuhaotian/LLaVA-13b-delta-v1-1 - a = Llava(["--model", "./models/ggml-llava-13b-v1.1.bin", "-c", "2048"]) - # Extract from https://huggingface.co/liuhaotian/LLaVA-13b-delta-v1-1/blob/main/pytorch_model-00003-of-00003.bin. - # Also here can use pytorch_model-00003-of-00003.bin directly. - a.load_projection(os.path.join( - os.path.dirname(__file__) , - "llava_projection.pth")) - respose = a.chat_with_image( - Image.open("./media/llama1-logo.png").convert('RGB'), - "what is the text in the picture?") - respose - a.chat("what is the color of it?") - - - diff --git a/llama.cpp/examples/embd-input/minigpt4.py b/llama.cpp/examples/embd-input/minigpt4.py deleted file mode 100644 index 15c9b77..0000000 --- a/llama.cpp/examples/embd-input/minigpt4.py +++ /dev/null @@ -1,128 +0,0 @@ -import sys -import os -sys.path.insert(0, os.path.dirname(__file__)) -from embd_input import MyModel -import numpy as np -from torch import nn -import torch -from PIL import Image - -minigpt4_path = os.path.join(os.path.dirname(__file__), "MiniGPT-4") -sys.path.insert(0, minigpt4_path) -from minigpt4.models.blip2 import Blip2Base -from minigpt4.processors.blip_processors import Blip2ImageEvalProcessor - - -class MiniGPT4(Blip2Base): - """ - MiniGPT4 model from https://github.com/Vision-CAIR/MiniGPT-4 - """ - def __init__(self, - args, - vit_model="eva_clip_g", - q_former_model="https://storage.googleapis.com/sfr-vision-language-research/LAVIS/models/BLIP2/blip2_pretrained_flant5xxl.pth", - img_size=224, - drop_path_rate=0, - use_grad_checkpoint=False, - vit_precision="fp32", - freeze_vit=True, - freeze_qformer=True, - num_query_token=32, - llama_model="", - prompt_path="", - prompt_template="", - max_txt_len=32, - end_sym='\n', - low_resource=False, # use 8 bit and put vit in cpu - device_8bit=0 - ): - super().__init__() - self.img_size = img_size - self.low_resource = low_resource - self.preprocessor = Blip2ImageEvalProcessor(img_size) - - print('Loading VIT') - self.visual_encoder, self.ln_vision = self.init_vision_encoder( - vit_model, img_size, drop_path_rate, use_grad_checkpoint, vit_precision - ) - print('Loading VIT Done') - print('Loading Q-Former') - self.Qformer, self.query_tokens = self.init_Qformer( - num_query_token, self.visual_encoder.num_features - ) - self.Qformer.cls = None - self.Qformer.bert.embeddings.word_embeddings = None - self.Qformer.bert.embeddings.position_embeddings = None - for layer in self.Qformer.bert.encoder.layer: - layer.output = None - layer.intermediate = None - self.load_from_pretrained(url_or_filename=q_former_model) - print('Loading Q-Former Done') - self.llama_proj = nn.Linear( - self.Qformer.config.hidden_size, 5120 # self.llama_model.config.hidden_size - ) - self.max_txt_len = max_txt_len - self.end_sym = end_sym - self.model = MyModel(["main", *args]) - # system prompt - self.model.eval_string("Give the following image: ImageContent. " - "You will be able to see the image once I provide it to you. Please answer my questions." - "###") - - def encode_img(self, image): - image = self.preprocessor(image) - image = image.unsqueeze(0) - device = image.device - if self.low_resource: - self.vit_to_cpu() - image = image.to("cpu") - - with self.maybe_autocast(): - image_embeds = self.ln_vision(self.visual_encoder(image)).to(device) - image_atts = torch.ones(image_embeds.size()[:-1], dtype=torch.long).to(device) - - query_tokens = self.query_tokens.expand(image_embeds.shape[0], -1, -1) - query_output = self.Qformer.bert( - query_embeds=query_tokens, - encoder_hidden_states=image_embeds, - encoder_attention_mask=image_atts, - return_dict=True, - ) - - inputs_llama = self.llama_proj(query_output.last_hidden_state) - # atts_llama = torch.ones(inputs_llama.size()[:-1], dtype=torch.long).to(image.device) - return inputs_llama - - def load_projection(self, path): - state = torch.load(path)["model"] - self.llama_proj.load_state_dict({ - "weight": state["llama_proj.weight"], - "bias": state["llama_proj.bias"]}) - - def chat(self, question): - self.model.eval_string("Human: ") - self.model.eval_string(question) - self.model.eval_string("\n### Assistant:") - return self.model.generate_with_print(end="###") - - def chat_with_image(self, image, question): - with torch.no_grad(): - embd_image = self.encode_img(image) - embd_image = embd_image.cpu().numpy()[0] - self.model.eval_string("Human: ") - self.model.eval_float(embd_image.T) - self.model.eval_string(" ") - self.model.eval_string(question) - self.model.eval_string("\n### Assistant:") - return self.model.generate_with_print(end="###") - - -if __name__=="__main__": - a = MiniGPT4(["--model", "./models/ggml-vicuna-13b-v0-q4_1.bin", "-c", "2048"]) - a.load_projection(os.path.join( - os.path.dirname(__file__) , - "pretrained_minigpt4.pth")) - respose = a.chat_with_image( - Image.open("./media/llama1-logo.png").convert('RGB'), - "what is the text in the picture?") - a.chat("what is the color of it?") diff --git a/llama.cpp/examples/embd-input/panda_gpt.py b/llama.cpp/examples/embd-input/panda_gpt.py deleted file mode 100644 index 0cfac5f..0000000 --- a/llama.cpp/examples/embd-input/panda_gpt.py +++ /dev/null @@ -1,98 +0,0 @@ -import sys -import os -sys.path.insert(0, os.path.dirname(__file__)) -from embd_input import MyModel -import numpy as np -from torch import nn -import torch - -# use PandaGPT path -panda_gpt_path = os.path.join(os.path.dirname(__file__), "PandaGPT") -imagebind_ckpt_path = "./models/panda_gpt/" - -sys.path.insert(0, os.path.join(panda_gpt_path,"code","model")) -from ImageBind.models import imagebind_model -from ImageBind import data - -ModalityType = imagebind_model.ModalityType -max_tgt_len = 400 - -class PandaGPT: - def __init__(self, args): - self.visual_encoder,_ = imagebind_model.imagebind_huge(pretrained=True, store_path=imagebind_ckpt_path) - self.visual_encoder.eval() - self.llama_proj = nn.Linear(1024, 5120) # self.visual_hidden_size, 5120) - self.max_tgt_len = max_tgt_len - self.model = MyModel(["main", *args]) - self.generated_text = "" - self.device = "cpu" - - def load_projection(self, path): - state = torch.load(path, map_location="cpu") - self.llama_proj.load_state_dict({ - "weight": state["llama_proj.weight"], - "bias": state["llama_proj.bias"]}) - - def eval_inputs(self, inputs): - self.model.eval_string("") - embds = self.extract_multimoal_feature(inputs) - for i in embds: - self.model.eval_float(i.T) - self.model.eval_string(" ") - - def chat(self, question): - return self.chat_with_image(None, question) - - def chat_with_image(self, inputs, question): - if self.generated_text == "": - self.model.eval_string("###") - self.model.eval_string(" Human: ") - if inputs: - self.eval_inputs(inputs) - self.model.eval_string(question) - self.model.eval_string("\n### Assistant:") - ret = self.model.generate_with_print(end="###") - self.generated_text += ret - return ret - - def extract_multimoal_feature(self, inputs): - features = [] - for key in ["image", "audio", "video", "thermal"]: - if key + "_paths" in inputs: - embeds = self.encode_data(key, inputs[key+"_paths"]) - features.append(embeds) - return features - - def encode_data(self, data_type, data_paths): - - type_map = { - "image": ModalityType.VISION, - "audio": ModalityType.AUDIO, - "video": ModalityType.VISION, - "thermal": ModalityType.THERMAL, - } - load_map = { - "image": data.load_and_transform_vision_data, - "audio": data.load_and_transform_audio_data, - "video": data.load_and_transform_video_data, - "thermal": data.load_and_transform_thermal_data - } - - load_function = load_map[data_type] - key = type_map[data_type] - - inputs = {key: load_function(data_paths, self.device)} - with torch.no_grad(): - embeddings = self.visual_encoder(inputs) - embeds = embeddings[key] - embeds = self.llama_proj(embeds).cpu().numpy() - return embeds - - -if __name__=="__main__": - a = PandaGPT(["--model", "./models/ggml-vicuna-13b-v0-q4_1.bin", "-c", "2048", "--lora", "./models/panda_gpt/ggml-adapter-model.bin","--temp", "0"]) - a.load_projection("./models/panda_gpt/adapter_model.bin") - a.chat_with_image( - {"image_paths": ["./media/llama1-logo.png"]}, - "what is the text in the picture? 'llama' or 'lambda'?") - a.chat("what is the color of it?") diff --git a/llama.cpp/examples/embedding/CMakeLists.txt b/llama.cpp/examples/embedding/CMakeLists.txt deleted file mode 100644 index 0c752c7..0000000 --- a/llama.cpp/examples/embedding/CMakeLists.txt +++ /dev/null @@ -1,8 +0,0 @@ -set(TARGET embedding) -add_executable(${TARGET} embedding.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/embedding/README.md b/llama.cpp/examples/embedding/README.md deleted file mode 100644 index fe8f5dc..0000000 --- a/llama.cpp/examples/embedding/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# embedding - -TODO diff --git a/llama.cpp/examples/embedding/embedding.cpp b/llama.cpp/examples/embedding/embedding.cpp deleted file mode 100644 index 5192d6d..0000000 --- a/llama.cpp/examples/embedding/embedding.cpp +++ /dev/null @@ -1,99 +0,0 @@ -#include "common.h" -#include "llama.h" -#include "build-info.h" - -#include - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -int main(int argc, char ** argv) { - gpt_params params; - - if (gpt_params_parse(argc, argv, params) == false) { - return 1; - } - - params.embedding = true; - - if (params.n_ctx > 2048) { - fprintf(stderr, "%s: warning: model might not support context sizes greater than 2048 tokens (%d specified);" - "expect poor results\n", __func__, params.n_ctx); - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - if (params.seed == LLAMA_DEFAULT_SEED) { - params.seed = time(NULL); - } - - fprintf(stderr, "%s: seed = %u\n", __func__, params.seed); - - std::mt19937 rng(params.seed); - if (params.random_prompt) { - params.prompt = gpt_random_prompt(rng); - } - - llama_backend_init(params.numa); - - llama_model * model; - llama_context * ctx; - - // load the model - std::tie(model, ctx) = llama_init_from_gpt_params(params); - if (model == NULL) { - fprintf(stderr, "%s: error: unable to load model\n", __func__); - return 1; - } - - // print system information - { - fprintf(stderr, "\n"); - fprintf(stderr, "system_info: n_threads = %d / %d | %s\n", - params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info()); - } - - int n_past = 0; - - // Add a space in front of the first character to match OG llama tokenizer behavior - params.prompt.insert(0, 1, ' '); - - // tokenize the prompt - auto embd_inp = ::llama_tokenize(ctx, params.prompt, true); - - if (params.verbose_prompt) { - fprintf(stderr, "\n"); - fprintf(stderr, "%s: prompt: '%s'\n", __func__, params.prompt.c_str()); - fprintf(stderr, "%s: number of tokens in prompt = %zu\n", __func__, embd_inp.size()); - for (int i = 0; i < (int) embd_inp.size(); i++) { - fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i])); - } - fprintf(stderr, "\n"); - } - - if (params.embedding){ - if (embd_inp.size() > 0) { - if (llama_eval(ctx, embd_inp.data(), embd_inp.size(), n_past, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return 1; - } - } - - const int n_embd = llama_n_embd(ctx); - const auto embeddings = llama_get_embeddings(ctx); - - for (int i = 0; i < n_embd; i++) { - printf("%f ", embeddings[i]); - } - printf("\n"); - } - - llama_print_timings(ctx); - llama_free(ctx); - llama_free_model(model); - - llama_backend_free(); - - return 0; -} diff --git a/llama.cpp/examples/gpt4all.sh b/llama.cpp/examples/gpt4all.sh deleted file mode 100755 index 5fd739e..0000000 --- a/llama.cpp/examples/gpt4all.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash - -# -# Temporary script - will be removed in the future -# - -cd `dirname $0` -cd .. - -./main --color --instruct --threads 4 \ - --model ./models/gpt4all-7B/gpt4all-lora-quantized.bin \ - --file ./prompts/alpaca.txt \ - --batch_size 8 --ctx_size 2048 -n -1 \ - --repeat_last_n 64 --repeat_penalty 1.3 \ - --n_predict 128 --temp 0.1 --top_k 40 --top_p 0.95 diff --git a/llama.cpp/examples/grammar-parser.cpp b/llama.cpp/examples/grammar-parser.cpp deleted file mode 100644 index 019d5e1..0000000 --- a/llama.cpp/examples/grammar-parser.cpp +++ /dev/null @@ -1,423 +0,0 @@ -#include "grammar-parser.h" -#include -#include -#include -#include -#include -#include - -namespace grammar_parser { - // NOTE: assumes valid utf8 (but checks for overrun) - // copied from llama.cpp - std::pair decode_utf8(const char * src) { - static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 }; - uint8_t first_byte = static_cast(*src); - uint8_t highbits = first_byte >> 4; - int len = lookup[highbits]; - uint8_t mask = (1 << (8 - len)) - 1; - uint32_t value = first_byte & mask; - const char * end = src + len; // may overrun! - const char * pos = src + 1; - for ( ; pos < end && *pos; pos++) { - value = (value << 6) + (static_cast(*pos) & 0x3F); - } - return std::make_pair(value, pos); - } - - uint32_t get_symbol_id(parse_state & state, const char * src, size_t len) { - uint32_t next_id = static_cast(state.symbol_ids.size()); - auto result = state.symbol_ids.insert(std::make_pair(std::string(src, len), next_id)); - return result.first->second; - } - - uint32_t generate_symbol_id(parse_state & state, const std::string & base_name) { - uint32_t next_id = static_cast(state.symbol_ids.size()); - state.symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id; - return next_id; - } - - void add_rule( - parse_state & state, - uint32_t rule_id, - const std::vector & rule) { - if (state.rules.size() <= rule_id) { - state.rules.resize(rule_id + 1); - } - state.rules[rule_id] = rule; - } - - bool is_word_char(char c) { - return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9'); - } - - std::pair parse_hex(const char * src, int size) { - const char * pos = src; - const char * end = src + size; - uint32_t value = 0; - for ( ; pos < end && *pos; pos++) { - value <<= 4; - char c = *pos; - if ('a' <= c && c <= 'f') { - value += c - 'a' + 10; - } else if ('A' <= c && c <= 'F') { - value += c - 'A' + 10; - } else if ('0' <= c && c <= '9') { - value += c - '0'; - } else { - break; - } - } - if (pos != end) { - throw std::runtime_error("expecting " + std::to_string(size) + " hex chars at " + src); - } - return std::make_pair(value, pos); - } - - const char * parse_space(const char * src, bool newline_ok) { - const char * pos = src; - while (*pos == ' ' || *pos == '\t' || *pos == '#' || - (newline_ok && (*pos == '\r' || *pos == '\n'))) { - if (*pos == '#') { - while (*pos && *pos != '\r' && *pos != '\n') { - pos++; - } - } else { - pos++; - } - } - return pos; - } - - const char * parse_name(const char * src) { - const char * pos = src; - while (is_word_char(*pos)) { - pos++; - } - if (pos == src) { - throw std::runtime_error(std::string("expecting name at ") + src); - } - return pos; - } - - std::pair parse_char(const char * src) { - if (*src == '\\') { - switch (src[1]) { - case 'x': return parse_hex(src + 2, 2); - case 'u': return parse_hex(src + 2, 4); - case 'U': return parse_hex(src + 2, 8); - case 't': return std::make_pair('\t', src + 2); - case 'r': return std::make_pair('\r', src + 2); - case 'n': return std::make_pair('\n', src + 2); - case '\\': - case '"': - case '[': - case ']': - return std::make_pair(src[1], src + 2); - default: - throw std::runtime_error(std::string("unknown escape at ") + src); - } - } else if (*src) { - return decode_utf8(src); - } - throw std::runtime_error("unexpected end of input"); - } - - const char * parse_alternates( - parse_state & state, - const char * src, - const std::string & rule_name, - uint32_t rule_id, - bool is_nested); - - const char * parse_sequence( - parse_state & state, - const char * src, - const std::string & rule_name, - std::vector & out_elements, - bool is_nested) { - size_t last_sym_start = out_elements.size(); - const char * pos = src; - while (*pos) { - if (*pos == '"') { // literal string - pos++; - last_sym_start = out_elements.size(); - while (*pos != '"') { - auto char_pair = parse_char(pos); - pos = char_pair.second; - out_elements.push_back({LLAMA_GRETYPE_CHAR, char_pair.first}); - } - pos = parse_space(pos + 1, is_nested); - } else if (*pos == '[') { // char range(s) - pos++; - enum llama_gretype start_type = LLAMA_GRETYPE_CHAR; - if (*pos == '^') { - pos++; - start_type = LLAMA_GRETYPE_CHAR_NOT; - } - last_sym_start = out_elements.size(); - while (*pos != ']') { - auto char_pair = parse_char(pos); - pos = char_pair.second; - enum llama_gretype type = last_sym_start < out_elements.size() - ? LLAMA_GRETYPE_CHAR_ALT - : start_type; - - out_elements.push_back({type, char_pair.first}); - if (pos[0] == '-' && pos[1] != ']') { - auto endchar_pair = parse_char(pos + 1); - pos = endchar_pair.second; - out_elements.push_back({LLAMA_GRETYPE_CHAR_RNG_UPPER, endchar_pair.first}); - } - } - pos = parse_space(pos + 1, is_nested); - } else if (is_word_char(*pos)) { // rule reference - const char * name_end = parse_name(pos); - uint32_t ref_rule_id = get_symbol_id(state, pos, name_end - pos); - pos = parse_space(name_end, is_nested); - last_sym_start = out_elements.size(); - out_elements.push_back({LLAMA_GRETYPE_RULE_REF, ref_rule_id}); - } else if (*pos == '(') { // grouping - // parse nested alternates into synthesized rule - pos = parse_space(pos + 1, true); - uint32_t sub_rule_id = generate_symbol_id(state, rule_name); - pos = parse_alternates(state, pos, rule_name, sub_rule_id, true); - last_sym_start = out_elements.size(); - // output reference to synthesized rule - out_elements.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id}); - if (*pos != ')') { - throw std::runtime_error(std::string("expecting ')' at ") + pos); - } - pos = parse_space(pos + 1, is_nested); - } else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator - if (last_sym_start == out_elements.size()) { - throw std::runtime_error(std::string("expecting preceeding item to */+/? at ") + pos); - } - - // apply transformation to previous symbol (last_sym_start to end) according to - // rewrite rules: - // S* --> S' ::= S S' | - // S+ --> S' ::= S S' | S - // S? --> S' ::= S | - uint32_t sub_rule_id = generate_symbol_id(state, rule_name); - std::vector sub_rule; - // add preceding symbol to generated rule - sub_rule.insert( - sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end()); - if (*pos == '*' || *pos == '+') { - // cause generated rule to recurse - sub_rule.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id}); - } - // mark start of alternate def - sub_rule.push_back({LLAMA_GRETYPE_ALT, 0}); - if (*pos == '+') { - // add preceding symbol as alternate only for '+' (otherwise empty) - sub_rule.insert( - sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end()); - } - sub_rule.push_back({LLAMA_GRETYPE_END, 0}); - add_rule(state, sub_rule_id, sub_rule); - - // in original rule, replace previous symbol with reference to generated rule - out_elements.resize(last_sym_start); - out_elements.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id}); - - pos = parse_space(pos + 1, is_nested); - } else { - break; - } - } - return pos; - } - - const char * parse_alternates( - parse_state & state, - const char * src, - const std::string & rule_name, - uint32_t rule_id, - bool is_nested) { - std::vector rule; - const char * pos = parse_sequence(state, src, rule_name, rule, is_nested); - while (*pos == '|') { - rule.push_back({LLAMA_GRETYPE_ALT, 0}); - pos = parse_space(pos + 1, true); - pos = parse_sequence(state, pos, rule_name, rule, is_nested); - } - rule.push_back({LLAMA_GRETYPE_END, 0}); - add_rule(state, rule_id, rule); - return pos; - } - - const char * parse_rule(parse_state & state, const char * src) { - const char * name_end = parse_name(src); - const char * pos = parse_space(name_end, false); - size_t name_len = name_end - src; - uint32_t rule_id = get_symbol_id(state, src, name_len); - const std::string name(src, name_len); - - if (!(pos[0] == ':' && pos[1] == ':' && pos[2] == '=')) { - throw std::runtime_error(std::string("expecting ::= at ") + pos); - } - pos = parse_space(pos + 3, true); - - pos = parse_alternates(state, pos, name, rule_id, false); - - if (*pos == '\r') { - pos += pos[1] == '\n' ? 2 : 1; - } else if (*pos == '\n') { - pos++; - } else if (*pos) { - throw std::runtime_error(std::string("expecting newline or end at ") + pos); - } - return parse_space(pos, true); - } - - parse_state parse(const char * src) { - try { - parse_state state; - const char * pos = parse_space(src, true); - while (*pos) { - pos = parse_rule(state, pos); - } - return state; - } catch (const std::exception & err) { - fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what()); - return parse_state(); - } - } - - void print_grammar_char(FILE * file, uint32_t c) { - if (0x20 <= c && c <= 0x7f) { - fprintf(file, "%c", static_cast(c)); - } else { - // cop out of encoding UTF-8 - fprintf(file, "", c); - } - } - - bool is_char_element(llama_grammar_element elem) { - switch (elem.type) { - case LLAMA_GRETYPE_CHAR: return true; - case LLAMA_GRETYPE_CHAR_NOT: return true; - case LLAMA_GRETYPE_CHAR_ALT: return true; - case LLAMA_GRETYPE_CHAR_RNG_UPPER: return true; - default: return false; - } - } - - void print_rule_binary(FILE * file, const std::vector & rule) { - for (auto elem : rule) { - switch (elem.type) { - case LLAMA_GRETYPE_END: fprintf(file, "END"); break; - case LLAMA_GRETYPE_ALT: fprintf(file, "ALT"); break; - case LLAMA_GRETYPE_RULE_REF: fprintf(file, "RULE_REF"); break; - case LLAMA_GRETYPE_CHAR: fprintf(file, "CHAR"); break; - case LLAMA_GRETYPE_CHAR_NOT: fprintf(file, "CHAR_NOT"); break; - case LLAMA_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break; - case LLAMA_GRETYPE_CHAR_ALT: fprintf(file, "CHAR_ALT"); break; - } - switch (elem.type) { - case LLAMA_GRETYPE_END: - case LLAMA_GRETYPE_ALT: - case LLAMA_GRETYPE_RULE_REF: - fprintf(file, "(%u) ", elem.value); - break; - case LLAMA_GRETYPE_CHAR: - case LLAMA_GRETYPE_CHAR_NOT: - case LLAMA_GRETYPE_CHAR_RNG_UPPER: - case LLAMA_GRETYPE_CHAR_ALT: - fprintf(file, "(\""); - print_grammar_char(file, elem.value); - fprintf(file, "\") "); - break; - } - } - fprintf(file, "\n"); - } - - void print_rule( - FILE * file, - uint32_t rule_id, - const std::vector & rule, - const std::map & symbol_id_names) { - if (rule.empty() || rule.back().type != LLAMA_GRETYPE_END) { - throw std::runtime_error( - "malformed rule, does not end with LLAMA_GRETYPE_END: " + std::to_string(rule_id)); - } - fprintf(file, "%s ::= ", symbol_id_names.at(rule_id).c_str()); - for (size_t i = 0, end = rule.size() - 1; i < end; i++) { - llama_grammar_element elem = rule[i]; - switch (elem.type) { - case LLAMA_GRETYPE_END: - throw std::runtime_error( - "unexpected end of rule: " + std::to_string(rule_id) + "," + - std::to_string(i)); - case LLAMA_GRETYPE_ALT: - fprintf(file, "| "); - break; - case LLAMA_GRETYPE_RULE_REF: - fprintf(file, "%s ", symbol_id_names.at(elem.value).c_str()); - break; - case LLAMA_GRETYPE_CHAR: - fprintf(file, "["); - print_grammar_char(file, elem.value); - break; - case LLAMA_GRETYPE_CHAR_NOT: - fprintf(file, "[^"); - print_grammar_char(file, elem.value); - break; - case LLAMA_GRETYPE_CHAR_RNG_UPPER: - if (i == 0 || !is_char_element(rule[i - 1])) { - throw std::runtime_error( - "LLAMA_GRETYPE_CHAR_RNG_UPPER without preceding char: " + - std::to_string(rule_id) + "," + std::to_string(i)); - } - fprintf(file, "-"); - print_grammar_char(file, elem.value); - break; - case LLAMA_GRETYPE_CHAR_ALT: - if (i == 0 || !is_char_element(rule[i - 1])) { - throw std::runtime_error( - "LLAMA_GRETYPE_CHAR_ALT without preceding char: " + - std::to_string(rule_id) + "," + std::to_string(i)); - } - print_grammar_char(file, elem.value); - break; - } - if (is_char_element(elem)) { - switch (rule[i + 1].type) { - case LLAMA_GRETYPE_CHAR_ALT: - case LLAMA_GRETYPE_CHAR_RNG_UPPER: - break; - default: - fprintf(file, "] "); - } - } - } - fprintf(file, "\n"); - } - - void print_grammar(FILE * file, const parse_state & state) { - try { - std::map symbol_id_names; - for (auto kv : state.symbol_ids) { - symbol_id_names[kv.second] = kv.first; - } - for (size_t i = 0, end = state.rules.size(); i < end; i++) { - // fprintf(file, "%zu: ", i); - // print_rule_binary(file, state.rules[i]); - print_rule(file, i, state.rules[i], symbol_id_names); - // fprintf(file, "\n"); - } - } catch (const std::exception & err) { - fprintf(stderr, "\n%s: error printing grammar: %s\n", __func__, err.what()); - } - } - - std::vector parse_state::c_rules() { - std::vector ret; - for (const auto & rule : rules) { - ret.push_back(rule.data()); - } - return ret; - } -} diff --git a/llama.cpp/examples/grammar-parser.h b/llama.cpp/examples/grammar-parser.h deleted file mode 100644 index 9037d72..0000000 --- a/llama.cpp/examples/grammar-parser.h +++ /dev/null @@ -1,29 +0,0 @@ -// Implements a parser for an extended Backus-Naur form (BNF), producing the -// binary context-free grammar format specified by llama.h. Supports character -// ranges, grouping, and repetition operators. As an example, a grammar for -// arithmetic might look like: -// -// root ::= expr -// expr ::= term ([-+*/] term)* -// term ::= num | "(" space expr ")" space -// num ::= [0-9]+ space -// space ::= [ \t\n]* - -#pragma once -#include "llama.h" -#include -#include -#include -#include - -namespace grammar_parser { - struct parse_state { - std::map symbol_ids; - std::vector> rules; - - std::vector c_rules(); - }; - - parse_state parse(const char * src); - void print_grammar(FILE * file, const parse_state & state); -} diff --git a/llama.cpp/examples/jeopardy/README.md b/llama.cpp/examples/jeopardy/README.md deleted file mode 100644 index 4c42e3c..0000000 --- a/llama.cpp/examples/jeopardy/README.md +++ /dev/null @@ -1,21 +0,0 @@ -# llama.cpp/example/jeopardy - -This is pretty much just a straight port of aigoopy/llm-jeopardy/ with an added graph viewer. - -The jeopardy test can be used to compare the fact knowledge of different models and compare them to eachother. This is in contrast to some other tests, which test logical deduction, creativity, writing skills, etc. - - -Step 1: Open jeopardy.sh and modify the following: -``` -MODEL=(path to your model) -MODEL_NAME=(name of your model) -prefix=(basically, if you use vicuna it's Human: , if you use something else it might be User: , etc) -opts=(add -instruct here if needed for your model, or anything else you want to test out) -``` -Step 2: Run `jeopardy.sh` from the llama.cpp folder - -Step 3: Repeat steps 1 and 2 until you have all the results you need. - -Step 4: Run `graph.py`, and follow the instructions. At the end, it will generate your final graph. - -Note: The Human bar is based off of the full, original 100 sample questions. If you modify the question count or questions, it will not be valid. diff --git a/llama.cpp/examples/jeopardy/graph.py b/llama.cpp/examples/jeopardy/graph.py deleted file mode 100644 index 1b6c54b..0000000 --- a/llama.cpp/examples/jeopardy/graph.py +++ /dev/null @@ -1,57 +0,0 @@ -import matplotlib.pyplot as plt -import os -import csv - -labels = [] -numbers = [] -numEntries = 1 - -rows = [] - - -def bar_chart(numbers, labels, pos): - plt.bar(pos, numbers, color='blue') - plt.xticks(ticks=pos, labels=labels) - plt.title("Jeopardy Results by Model") - plt.xlabel("Model") - plt.ylabel("Questions Correct") - plt.show() - - -def calculatecorrect(): - directory = os.fsencode("./examples/jeopardy/results/") - csv_reader = csv.reader(open("./examples/jeopardy/qasheet.csv", 'rt'), delimiter=',') - for row in csv_reader: - global rows - rows.append(row) - for listing in os.listdir(directory): - filename = os.fsdecode(listing) - if filename.endswith(".txt"): - file = open("./examples/jeopardy/results/" + filename, "rt") - global labels - global numEntries - global numbers - labels.append(filename[:-4]) - numEntries += 1 - i = 1 - totalcorrect = 0 - for line in file.readlines(): - if line.strip() != "------": - print(line) - else: - print("Correct answer: " + rows[i][2] + "\n") - i += 1 - print("Did the AI get the question right? (y/n)") - if input() == "y": - totalcorrect += 1 - numbers.append(totalcorrect) - - -if __name__ == '__main__': - calculatecorrect() - pos = list(range(numEntries)) - labels.append("Human") - numbers.append(48.11) - bar_chart(numbers, labels, pos) - print(labels) - print(numbers) diff --git a/llama.cpp/examples/jeopardy/jeopardy.sh b/llama.cpp/examples/jeopardy/jeopardy.sh deleted file mode 100644 index 9bdbc75..0000000 --- a/llama.cpp/examples/jeopardy/jeopardy.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/bin/bash -set -e - -MODEL=./models/ggml-vicuna-13b-1.1-q4_0.bin -MODEL_NAME=Vicuna - -# exec options -prefix="Human: " # Ex. Vicuna uses "Human: " -opts="--temp 0 -n 80" # additional flags -nl=' -' -introduction="You will be playing a game of Jeopardy. Simply answer the question in the correct format (Ex. What is Paris, or Who is George Washington)." - -# file options -question_file=./examples/jeopardy/questions.txt -touch ./examples/jeopardy/results/$MODEL_NAME.txt -output_file=./examples/jeopardy/results/$MODEL_NAME.txt - -counter=1 - -echo 'Running' -while IFS= read -r question -do - exe_cmd="./main -p "\"$prefix$introduction$nl$prefix$question\"" "$opts" -m ""\"$MODEL\""" >> ""\"$output_file\"" - echo $counter - echo "Current Question: $question" - eval "$exe_cmd" - echo -e "\n------" >> $output_file - counter=$((counter+1)) -done < "$question_file" diff --git a/llama.cpp/examples/jeopardy/qasheet.csv b/llama.cpp/examples/jeopardy/qasheet.csv deleted file mode 100644 index 35b0841..0000000 --- a/llama.cpp/examples/jeopardy/qasheet.csv +++ /dev/null @@ -1,103 +0,0 @@ -Index,Original Category,Original Correct Question,Model Prompt -1,The Oscars,Who is John Williams?,Which actor Born in 1932 was the son of a percussionist in the CBS radio orchestra has been nominated for 53 Oscars? -2,English Literature,What is Paradise Lost?,"What work in English Literature says: 'The mind is its own place, & in itself can make a heaven of hell, a hell of heaven. What matter where, if I be still the same'?" -3,Writers’ Lesser-Known Works,Who is Niccolò Machiavelli?,"Known for more philosophical works, he wrote the play 'La Mandragola', in which Florentines are rewarded for immoral actions?" -4,Exploration,What is Easter Island (Rapa Nui)?,"James Cook's account of a 1774 visit where records an object 'near 27 feet long, and upwards of 8 feet over the breast or shoulders'?" -5,The Bill of Rights,What is the Eighth Amendment?,England's 'Bloody Assizes' & a 1685 life sentence for perjury were 2 main origins of which amendment to the U.S. Constitution? -6,Nobel Peace Prize Winners,Who are Nelson Mandela & Desmond Tutu?,"Which nobel peace price winners each lived at times on Vilakazi St. in Soweto , so it claims to be the world's only street home to 2 Nobel Peace Prize winners?" -7,Famous Names,Who is Walt Disney?,"In 1966, the year of who's death did he share plans for an experimental prototype community in Florida?" -8,Geography,What is Colombia?,"Of the 13 nations through which the Equator passes, what is the only one whose coastline borders the Caribbean Sea?" -9,Fashion History,What are rhinestones?,"Which decorative items in fashion history get their name from their origin in the port city of Strasbourg, on the border of France & Germany?" -10,Movies of the ’80s,What is Driving Miss Daisy?,What 1980's movie is based on an off-Broadway play with just 3 characters and won the Best Picture Oscar & the actors in all 3 roles were nominated? -11,Novelists,Who is John Grisham?,"A 2012 book review for which novelist noted subjects that 'sparked his ire': capital punishment, big tobacco & 'the plight of the unjustly convicted'?" -12,20th Century Eponyms,What is the Maginot Line?,"A 1940 headline about what 20th Century Eponym included 'failure', 'liability when it came to offense' & 'stout hearts no match for tanks'?" -13,City History,What is Stockholm?,"Over 700 years after its traditional 1252 founding date, what port city became associated with a psychological response?" -14,Brand Names,What is Jacuzzi?,"The success of what brand has its roots with a hydrotherapy pump its cofounder created for his son, who had arthritis?" -15,American Authors,Who is Washington Irving?,"In a periodical in 1807, what American Author called New York City 'Gotham, Gotham! Most enlightened of cities'?" -16,Symbols,What is “less than”?,What symbol is a rotated V in math and a feeling of some marginalized or underrepresented people in society? -17,Movie Theme Songs,Who is James Bond?,"Monty Norman, the composer of what character's theme, said the staccato riff conveyed sexiness, mystery & ruthlessness?" -18,American Novelists,Who is Joseph Heller?,"What American Novelist served with an airman named Yohannan in World War II & despite what readers might think, he said he enjoyed his service?" -19,Medieval Places,"What is Canterbury, England? (Canterbury Cathedral)","In what Medieval place did one of the participants in an 1170 event say, 'Let us away, knights; he will rise no more'?" -20,Countries of Africa,What is Morocco?,"At one time a province of the Roman Empire, what African country kingdom is known to Arabic scholars as Al-Maghrib Al-Aqsa, 'the far west'?" -21,Statehood,What is Wyoming?,Congress relented in 1890 after what prospective state said it would wait 100 years rather than come in without the women? -22,1980s Movies,What is Raiders of the Lost Ark?,"A writer & producer of what movie said he wanted it to be like a Western or James Bond film, 'only it takes place in the 30s'?" -23,Art Exhibitions,Who is Rembrandt?,In 1898 what's been called the first blockbuster art show was devoted to which artist & put on for Queen Wilhelmina's coronation? -24,Countries of the World,What is Mongolia?,"Part of the largest contiguous land empire during the 1200s & 1300s, today what is the world's second-largest landlocked country?" -25,Literature,What is “Howl”?,A 2006 book was titled 'The Poem That Changed America:' What 'Fifty Years Later'? -26,Invasions,Who is William of Orange?,"Backed by 14,000 troops, who invaded England to restore, in his words, its 'religion, laws, and liberties'?" -27,Landmarks,What is the Eiffel Tower?,"After its completion in the late 19th c., what was landmark was called 'a truly tragic street lamp' & a 'high & skinny pyramid of iron ladders'?" -28,Geographic Name’s the Same,What is Dover?,"The busiest passenger port in the U.K., what shares its name with a capital of one of the original 13 states?" -29,Names in the Bookstore,Who is Peter Mark Roget?,"This man made lists, perhaps to cope with depression; a set of lists he published in 1852 made whose name synonymous with a type of book?" -30,U.S. History,Who is Dr. Samuel Mudd?,"An 1869 presidential pardon was granted to which man, due in part to a plea by the Medical Society of Harford County, Maryland?" -31,American Literature,What is The Things They Carried?,"Letters, pocket knives, C rations & steel helmets are among the tangible items referred to in the title of what American literature modern war classic?" -32,Nonfiction,What is The Communist Manifesto,"What nonfiction book has the line, 'The discovery of America…opened up fresh ground for the rising bourgeoisie'?" -33, a new version was passed 81 years later,Laws in U.S. History,What is the Civil Rights Act?,,,,,,,,,,,,,,,,,,0, 2/3 -34,Names of Myth,Who is Helen of Troy?,"Whose brothers, Castor & Pollux, saved her after Theseus stole her away as a kid; a larger force would seek her later in life?" -35,African Countries,What is Sudan?,"Once Africa's largest country in area, what African Country dropped to third in 2011 when a portion of it declared independence?" -36,The Ancient World,What is Alexandria?,"The ancient writer Galen said books on ships arriving to what city's port were seized, originals kept & copies returned?" -37,Famous Names,Who is Andy Warhol?,"For a special 1970s cookbook, who provided one simple recipe–a can of Campbell's tomato soup & 2 cans of milk?" -38,People & Places,What is Guam?,"Thought to descend from people of Southeast Asia, the Chamorro make up what U.S. territory’s largest ethnic group?" -39,Current World Leaders,What is the Philippines?,"In office from 2022, the president of what country has taken so many foreign trips a play on his name is 'Ferdinand Magellan Jr.'?" -40,Writers & The South,Who is Tennessee Williams?,In 1939 which writer lived on Toulouse Street in the French Quarter & chose the professional name that bonded him to the South? -41,National Parks,What is Yellowstone?,"What National Park is named for a river indigenous people called Mi tse a-da-zi, translated by French-speaking trappers as 'Pierre Jaune'?" -42,Sports,Who are the Harlem Globetrotters?,"In 2010 who introduced the 4-point shot, 35 feet from the basket?" -43,The U.S. Military,What is “Top Gun”?,Losses over Asia in the 1960s led to the establishment of the program known as what at a San Diego naval base in 1969? -44,Art & Science,What is Halley’s Comet?,"A craft that visited what was named for Giotto, based on the story that 680 years earlier, the painter depicted it as the Star of Bethlehem?" -45,Words From World War I,What is “tank”?,"In World War I, 'Cistern' & 'reservoir' were suggested names for what secret invention, but the British preferred this less clumsy monosyllable?" -46,European History,What is Holy Roman Emperor?,"Until 1806, some German nobles included among their honors the title of 'Elector' for their role in selecting this personage?" -47,Theater History,Who is Peter Pan?,"In 1904, wearing a harness, actress Nina Boucicault became the first to play what character onstage?" -48,European Cities,What is Aachen?,"Alphabetically the first German city in encyclopedias, what was also the first one taken by the Allies in World War II?" -49,Word Origins,What is mantra?,This Sanskrit word referring to a spoken word or phrase comes from a word for 'to think'? -50,Inventions,What is barbed wire?,1917's 'Elements of Trench Warfare' said what Old West invention was 'difficult to destroy' & 'difficult to get through'? -51,World War II,What is Schindler’s list?,"Mimi Reinhard, who never learned to type using more than 2 fingers, produced what in World War II with 1,100 names, including hers?" -52, their offspring was the source of this mythical object,Mythology,What is the Golden Fleece? -53,Literature,What is Pride and Prejudice?,"Published in 2011, P.D. James' final novel, 'Death Comes to Pemberley', was a sequel to what novel from 200 years earlier?" -54, only these 2 west of the Mississippi River border each other,U.S. State Names,What are Oregon & Nevada? -55,Word Origins,What is passion?,"Originally relating to a story of suffering, what word now more commonly refers to strong emotion of any kind?" -56,World Cinema,What is La Vie en Rose?,"The 2007 biopic called 'La Môme' in France, meaning 'The Kid', was released in the U.S. under what other French title?" -57,History,What is Santa Maria?,"Returning home in 1493, Columbus stopped in the Azores at an island with what name, also something he'd lost off the Haiti coast?" -58,Landmarks,What is a kremlin?,Pskov & Nizhny Novgorod are 2 of the cities that have a fortress called what? -59,Foreign-Born Authors,Who is Vladimir Nabokov?,In the 1950s the New York Times said what author 'is writing about all lust' & his lecherous narrator 'is all of us'? -60,Astronomy & Geography,What is Capricorn?,"At the winter solstice, the sun is in Sagittarius; it once appeared in what constellation, giving a geographic feature its name?" -61,Television,What is Law & Order?,"Mike Post combined the sound of a slamming jail door, an anvil & 100 men stomping on a floor for what television series that debuted in 1990?" -62,British Landmarks,What is the Tower of London?,"Like Sir Thomas More, 3 16th century English queens are buried at what British location?" -63,Early American History,What are witches?,"In 1692 Increase Mather wrote, 'It were better that ten suspected' of these who 'escape, than that one innocent person … be condemned'?" -64,Geography Mnemonics,What are Arkansas and Louisiana?,"The Geography Mnemonic Mimal, sometimes said to be the silhouette of a chef or elf, stands for Minnesota, Iowa, Missouri, and what other 2 states?" -65,Business Milestones,What is the Ford Model T?,"What was first sold in 1908, at a price equivalent to about $27,000 today?" -66,In The Bookstore,Who is Tom Clancy?,The name of what author dead since 2013 now appears on books written by a former U.S. marshal & a former Apache helicopter pilot? -67,Historic Art,What is the Bayeux Tapestry?,The artwork once known in France as 'la tapisserie de la Reine Mathilde' is better known as what? -68,Pop Stars,Who is Madonna?,In 2022 which pop star became the first woman to have a Billboard Top 10 album in 5 decades starting with the 1980s? -69,Classic Tale Characters,Who is Scheherazade?,"In one 19th century translation, what female classic tale character 'perceived the dawn of day and ceased' speaking nearly 1,000 times?" -70,USA,What is Jack Daniel’s?,"Ironically, though what company founded in the 1860s is Moore County, Tennessee's largest employer, Moore is a dry county?" -71,Historic People,Who was William Bligh?,"After a 1789 event, who wrote, 'My first determination was to seek a supply of…water at Tofoa, & afterwards to sail for Tongataboo'?" -72,The Movies,What is The Godfather?,Laurence Olivier & Ernest Borgnine were considered for the lead role & Sergio Leone to direct for what film that turned 50 in 2022? -73,Continental Geography,What is Colombia?,"Until a 1903 secession, what country's contiguous territory spanned 2 continents?" -74,Foreign-Born Authors,Who is Isabel Allende?,"Early in her career which foreign-born author translated romance novels into Spanish, often changing the dialogue to make the heroines smarter?" -75,Historic Crimes,What is the Mona Lisa?,"Saying it was stolen by Napoleon, self-styled Italian patriot Vincenzo Peruggia took what in 1911?" -76,U.S. Bodies of Water,What is Lake Mead?,"Continuing a downward trend, in July 2022 what US body of water was at 27% capacity, its lowest level since 1937 when it was first being filled?" -77,Gods & Goddesses,Who is Aurora (or Eos)?,"Each morning which goddess began her ride in her chariot across the sky ahead of her brother Sol, or Helios?" -78,America At War,What is the Battle of New Orleans?,"Until the Civil War, the Jan. 8 date of what American battle of dubious military importance but big morale value was a national holiday?" -79,Children’s Books,What is The Velveteen Rabbit?,"Which children's book title character is told 'By the time you are real, most of your hair has been loved off your eyes drop out & you get shabby'?" -80,TV Finales,What is Grace and Frankie?,"In a TV reunion over 40 years in the making, Dolly Parton appeared as an angel named Agnes in the final episode of what comedy in 2022?" -81,American Poems,Who is Evangeline?,"In an 1847 American poem what character sees her town of Grand-Pré burned, but finally reunites with her beau for a kiss before his death?" -82,Famous Names,Who is Banksy?,"In 2001 who published a book called 'Banging Your Head Against a Brick Wall'; in 2002, 'Existencilism'?" -83,Children’s Lit,What is Charlotte’s Web?,The title object of what childrens book 'never looked more beautiful each strand held dozens of bright drops of early morning dew'? -84,Classic Songs,What is “Here Comes Santa Claus”?,The shouts of excited children at a 1946 holiday parade are said to have inspired what perennial classic song favorite? -85,Brand Names,What are Milk Duds?,"Unable to make what candies perfectly round, the confectioner embraced this flawed name for the product?" -86,Countries of the World,What is Italy?,"What country is home to 58 UNESCO World Heritage Sites, more than any other country; the sites include a volcano & a lagoon?" -87,Action Movies,What is Die Hard?,"What action movie's last line is 'If this is their idea of Christmas, I gotta be here for New Years'?" -88,Presidential Facts,Who is Woodrow Wilson?,Only 3 presidents have married while in office— John Tyler was the first & which one was the last? -89,19th Century Americans,Who is Frederick Douglass?,"Demonstrating the dignity & humanity of Black Americans, who sat for 160 known photographs, the most of any American in the 19th century?" -90,Latin Phrases,What is “quid pro quo”?,"Originally, which Latin 3-word phrase referred to when a doctor or apothecary substituted one medicine for another?" -91,1970s Movies,What is Monty Python and the Holy Grail?,The 1975 premiere of what movie comedy advertised free coconuts for the first thousand in the audience? -92,Name’s The Same,What is Manhattan?,"A cocktail, an island & a WWII venture originally called 'Development of Substitute Materials' all bear what name?" -93,U.S. Presidents,Who is Calvin Coolidge?,"Which US President was sworn in twice as President within 2 years, first by his father & then later by a former U.S. President?" -94,Plays,What is The Tempest?,A 1609 story in which an exiled king of Bulgaria creates a sea palace with his magic may have inspired the plot of what play? -95,Landmarks,What is the Berlin Wall?,"In 2009, during a 20th anniversary celebration, what landmark was called 'an edifice of fear. On Nov. 9, it became a place of joy'?" -96,World Capitals,"What is Vienna, Austria?","Among what world capital's nicknames are the 'City of Classical Music' &, possibly in honor of a famous resident from 1860 to 1938, the 'City of Dreams'?" -97,Language & Its Meanings,What is a night owl?,"Now meaning someone with nocturnal habits, what catches a sleeping dove in Shakespeare's 'Lucrece'?" -98,Flags of Our Hemisphere,What is Brazil?,"The stars on what country's flag represent states, 26 of them; unlike the USA's, its 'federal district' gets its own 27th star?" -99,Names in U.S. History,Who is Oliver Brown?,What father was the only man among the 13 plaintiffs in a US class-action case filed in 1951? -100,Children’s Authors,"Who is Sarah? (from Sarah, Plain and Tall)","Reversing the story of what heroine she created, childrens author Patricia Maclachlan was born on the prairie but spent much of her life in New England?" -,,, -TOTALS,,, diff --git a/llama.cpp/examples/jeopardy/questions.txt b/llama.cpp/examples/jeopardy/questions.txt deleted file mode 100644 index eea78a0..0000000 --- a/llama.cpp/examples/jeopardy/questions.txt +++ /dev/null @@ -1,100 +0,0 @@ -Which man born in 1932 was the son of a percussionist in the CBS radio orchestra has been nominated for 53 Oscars? -What work in English Literature says: 'The mind is its own place, & in itself can make a heaven of hell, a hell of heaven. What matter where, if I be still the same'? -Known for more philosophical works, he wrote the play 'La Mandragola', in which Florentines are rewarded for immoral actions? -James Cook's account of a 1774 visit where records an object 'near 27 feet long, and upwards of 8 feet over the breast or shoulders'? -England's 'Bloody Assizes' & a 1685 life sentence for perjury were 2 main origins of which amendment to the U.S. Constitution? -Which nobel peace price winners each lived at times on Vilakazi St. in Soweto , so it claims to be the world's only street home to 2 Nobel Peace Prize winners? -In 1966, the year of who's death did he share plans for an experimental prototype community in Florida? -Of the 13 nations through which the Equator passes, what is the only one whose coastline borders the Caribbean Sea? -Which decorative items in fashion history get their name from their origin in the port city of Strasbourg, on the border of France & Germany? -What 1980's movie is based on an off-Broadway play with just 3 characters and won the Best Picture Oscar & the actors in all 3 roles were nominated? -A 2012 book review for which novelist noted subjects that 'sparked his ire': capital punishment, big tobacco & 'the plight of the unjustly convicted'? -A 1940 headline about what 20th Century Eponym included 'failure', 'liability when it came to offense' & 'stout hearts no match for tanks'? -Over 700 years after its traditional 1252 founding date, what port city became associated with a psychological response? -The success of what brand has its roots with a hydrotherapy pump its cofounder created for his son, who had arthritis? -In a periodical in 1807, what American Author called New York City 'Gotham, Gotham! Most enlightened of cities'? -What symbol is a rotated V in math and a feeling of some marginalized or underrepresented people in society? -Monty Norman, the composer of what character's theme, said the staccato riff conveyed sexiness, mystery & ruthlessness? -What American Novelist served with an airman named Yohannan in World War II & despite what readers might think, he said he enjoyed his service? -In what Medieval place did one of the participants in an 1170 event say, 'Let us away, knights; he will rise no more'? -At one time a province of the Roman Empire, what African country kingdom is known to Arabic scholars as Al-Maghrib Al-Aqsa, 'the far west'? -Congress relented in 1890 after what prospective state said it would wait 100 years rather than come in without the women? -A writer & producer of what movie said he wanted it to be like a Western or James Bond film, 'only it takes place in the 30s'? -In 1898 what's been called the first blockbuster art show was devoted to which artist & put on for Queen Wilhelmina's coronation? -Part of the largest contiguous land empire during the 1200s & 1300s, today what is the world's second-largest landlocked country? -A 2006 book was titled 'The Poem That Changed America:' What 'Fifty Years Later'? -Backed by 14,000 troops, who invaded England to restore, in his words, its 'religion, laws, and liberties'? -After its completion in the late 19th c., what was landmark was called 'a truly tragic street lamp' & a 'high & skinny pyramid of iron ladders'? -The busiest passenger port in the U.K., what shares its name with a capital of one of the original 13 states? -This man made lists, perhaps to cope with depression; a set of lists he published in 1852 made whose name synonymous with a type of book? -An 1869 presidential pardon was granted to which man, due in part to a plea by the Medical Society of Harford County, Maryland? -Letters, pocket knives, C rations & steel helmets are among the tangible items referred to in the title of what American literature modern war classic? -What nonfiction book has the line, 'The discovery of America…opened up fresh ground for the rising bourgeoisie'? -A radical Republican championed what 1875 act but the Supreme Court struck it down in 1883; a new version was passed 81 years later? -Whose brothers, Castor & Pollux, saved her after Theseus stole her away as a kid; a larger force would seek her later in life? -Once Africa's largest country in area, what African Country dropped to third in 2011 when a portion of it declared independence? -The ancient writer Galen said books on ships arriving to what city's port were seized, originals kept & copies returned? -For a special 1970s cookbook, who provided one simple recipe–a can of Campbell's tomato soup & 2 cans of milk? -Thought to descend from people of Southeast Asia, the Chamorro make up what U.S. territory’s largest ethnic group? -In office from 2022, the president of what country has taken so many foreign trips a play on his name is 'Ferdinand Magellan Jr.'? -In 1939 which writer lived on Toulouse Street in the French Quarter & chose the professional name that bonded him to the South? -What National Park is named for a river indigenous people called Mi tse a-da-zi, translated by French-speaking trappers as 'Pierre Jaune'? -In 2010 who introduced the 4-point shot, 35 feet from the basket? -Losses over Asia in the 1960s led to the establishment of the program known as what at a San Diego naval base in 1969? -A craft that visited what was named for Giotto, based on the story that 680 years earlier, the painter depicted it as the Star of Bethlehem? -In World War I, 'Cistern' & 'reservoir' were suggested names for what secret invention, but the British preferred this less clumsy monosyllable? -Until 1806, some German nobles included among their honors the title of 'Elector' for their role in selecting this personage? -In 1904, wearing a harness, actress Nina Boucicault became the first to play what character onstage? -Alphabetically the first German city in encyclopedias, what was also the first one taken by the Allies in World War II? -This Sanskrit word referring to a spoken word or phrase comes from a word for 'to think'? -1917's 'Elements of Trench Warfare' said what Old West invention was 'difficult to destroy' & 'difficult to get through'? -Mimi Reinhard, who never learned to type using more than 2 fingers, produced what in World War II with 1,100 names, including hers? -Poseidon carried off the maiden Theophane & turned her into a ewe; their offspring was the source of what mythical object? -Published in 2011, P.D. James' final novel, 'Death Comes to Pemberley', was a sequel to what novel from 200 years earlier? -5 U.S. states have 6-letter names; only which 2 west of the Mississippi River border each other? -Originally relating to a story of suffering, what word now more commonly refers to strong emotion of any kind? -The 2007 biopic called 'La Môme' in France, meaning 'The Kid', was released in the U.S. under what other French title? -Returning home in 1493, Columbus stopped in the Azores at an island with what name, also something he'd lost off the Haiti coast? -Pskov & Nizhny Novgorod are 2 of the cities that have a fortress called what? -In the 1950s the New York Times said what author 'is writing about all lust' & his lecherous narrator 'is all of us'? -At the winter solstice, the sun is in Sagittarius; it once appeared in what constellation, giving a geographic feature its name? -Mike Post combined the sound of a slamming jail door, an anvil & 100 men stomping on a floor for what television series that debuted in 1990? -Like Sir Thomas More, 3 16th century English queens are buried at what British location? -In 1692 Increase Mather wrote, 'It were better that ten suspected' of these who 'escape, than that one innocent person be condemned'? -The Geography Mnemonic Mimal, sometimes said to be the silhouette of a chef or elf, stands for Minnesota, Iowa, Missouri, and what other 2 states? -What was first sold in 1908, at a price equivalent to about $27,000 today? -The name of what author dead since 2013 now appears on books written by a former U.S. marshal & a former Apache helicopter pilot? -The artwork once known in France as 'la tapisserie de la Reine Mathilde' is better known as what? -In 2022 which pop star became the first woman to have a Billboard Top 10 album in 5 decades starting with the 1980s? -In one 19th century translation, what female classic tale character 'perceived the dawn of day and ceased' speaking nearly 1,000 times? -Ironically, though what company founded in the 1860s is Moore County, Tennessee's largest employer, Moore is a dry county? -After a 1789 event, who wrote, 'My first determination was to seek a supply of…water at Tofoa, & afterwards to sail for Tongataboo'? -Laurence Olivier & Ernest Borgnine were considered for the lead role & Sergio Leone to direct for what film that turned 50 in 2022? -Until a 1903 secession, what country's contiguous territory spanned 2 continents? -Early in her career which foreign-born author translated romance novels into Spanish, often changing the dialogue to make the heroines smarter? -Saying it was stolen by Napoleon, self-styled Italian patriot Vincenzo Peruggia took what in 1911? -Continuing a downward trend, in July 2022 what US body of water was at 27% capacity, its lowest level since 1937 when it was first being filled? -Each morning which goddess began her ride in her chariot across the sky ahead of her brother Sol, or Helios? -Until the Civil War, the Jan. 8 date of what American battle of dubious military importance but big morale value was a national holiday? -Which children's book title character is told 'By the time you are real, most of your hair has been loved off your eyes drop out & you get shabby'? -In a TV reunion over 40 years in the making, Dolly Parton appeared as an angel named Agnes in the final episode of what comedy in 2022? -In an 1847 American poem what character sees her town of Grand-Pré burned, but finally reunites with her beau for a kiss before his death? -In 2001 who published a book called 'Banging Your Head Against a Brick Wall'; in 2002, 'Existencilism'? -The title object of what childrens book 'never looked more beautiful each strand held dozens of bright drops of early morning dew'? -The shouts of excited children at a 1946 holiday parade are said to have inspired what perennial classic song favorite? -Unable to make what candies perfectly round, the confectioner embraced this flawed name for the product? -What country is home to 58 UNESCO World Heritage Sites, more than any other country; the sites include a volcano & a lagoon? -What action movie's last line is 'If this is their idea of Christmas, I gotta be here for New Years'? -Only 3 presidents have married while in office— John Tyler was the first & which one was the last? -Demonstrating the dignity & humanity of Black Americans, who sat for 160 known photographs, the most of any American in the 19th century? -Originally, which Latin 3-word phrase referred to when a doctor or apothecary substituted one medicine for another? -The 1975 premiere of what movie comedy advertised free coconuts for the first thousand in the audience? -A cocktail, an island & a WWII venture originally called 'Development of Substitute Materials' all bear what name? -Which US President was sworn in twice as President within 2 years, first by his father & then later by a former U.S. President? -A 1609 story in which an exiled king of Bulgaria creates a sea palace with his magic may have inspired the plot of what play? -In 2009, during a 20th anniversary celebration, what landmark was called 'an edifice of fear. On Nov. 9, it became a place of joy'? -Among what world capital's nicknames are the 'City of Classical Music' &, possibly in honor of a famous resident from 1860 to 1938, the 'City of Dreams'? -Now meaning someone with nocturnal habits, what catches a sleeping dove in Shakespeare's 'Lucrece'? -The stars on what country's flag represent states, 26 of them; unlike the USA's, its 'federal district' gets its own 27th star? -What father was the only man among the 13 plaintiffs in a US class-action case filed in 1951? -Reversing the story of what heroine she created, childrens author Patricia Maclachlan was born on the prairie but spent much of her life in New England? diff --git a/llama.cpp/examples/llama2-13b.sh b/llama.cpp/examples/llama2-13b.sh deleted file mode 100755 index 92b3f6d..0000000 --- a/llama.cpp/examples/llama2-13b.sh +++ /dev/null @@ -1,18 +0,0 @@ -#!/bin/bash - -# -# Temporary script - will be removed in the future -# - -cd `dirname $0` -cd .. - -./main -m models/available/Llama2/13B/llama-2-13b.ggmlv3.q4_0.bin \ - --color \ - --ctx_size 2048 \ - -n -1 \ - -ins -b 256 \ - --top_k 10000 \ - --temp 0.2 \ - --repeat_penalty 1.1 \ - -t 8 diff --git a/llama.cpp/examples/llama2.sh b/llama.cpp/examples/llama2.sh deleted file mode 100755 index 221b375..0000000 --- a/llama.cpp/examples/llama2.sh +++ /dev/null @@ -1,18 +0,0 @@ -#!/bin/bash - -# -# Temporary script - will be removed in the future -# - -cd `dirname $0` -cd .. - -./main -m models/available/Llama2/7B/llama-2-7b.ggmlv3.q4_0.bin \ - --color \ - --ctx_size 2048 \ - -n -1 \ - -ins -b 256 \ - --top_k 10000 \ - --temp 0.2 \ - --repeat_penalty 1.1 \ - -t 8 diff --git a/llama.cpp/examples/llm.vim b/llama.cpp/examples/llm.vim deleted file mode 100644 index efecad0..0000000 --- a/llama.cpp/examples/llm.vim +++ /dev/null @@ -1,23 +0,0 @@ -function! Llm() - - let url = "http://127.0.0.1:8080/completion" - - " Get the content of the current buffer - let buffer_content = join(getline(1, '$'), "\n") - - " Create the JSON payload - let json_payload = {"temp":0.72,"top_k":100,"top_p":0.73,"repeat_penalty":1.100000023841858,"n_predict":10,"stream": v:false} - let json_payload.prompt = buffer_content - - " Define the curl command - let curl_command = 'curl -k -s -X POST -H "Content-Type: application/json" -d @- ' . url - let response = system(curl_command, json_encode(json_payload)) - - " Extract the content field from the response - let content = json_decode(response).content - - " Insert the content at the cursor position - call setline(line('.'), getline('.') . content) -endfunction - -command! Llm call Llm() diff --git a/llama.cpp/examples/main/CMakeLists.txt b/llama.cpp/examples/main/CMakeLists.txt deleted file mode 100644 index cc18889..0000000 --- a/llama.cpp/examples/main/CMakeLists.txt +++ /dev/null @@ -1,8 +0,0 @@ -set(TARGET main) -add_executable(${TARGET} main.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/main/README.md b/llama.cpp/examples/main/README.md deleted file mode 100644 index 014112e..0000000 --- a/llama.cpp/examples/main/README.md +++ /dev/null @@ -1,297 +0,0 @@ -# llama.cpp/example/main - -This example program allows you to use various LLaMA language models in an easy and efficient way. It is specifically designed to work with the [llama.cpp](https://github.com/ggerganov/llama.cpp) project, which provides a plain C/C++ implementation with optional 4-bit quantization support for faster, lower memory inference, and is optimized for desktop CPUs. This program can be used to perform various inference tasks with LLaMA models, including generating text based on user-provided prompts and chat-like interactions with reverse prompts. - -## Table of Contents - -1. [Quick Start](#quick-start) -2. [Common Options](#common-options) -3. [Input Prompts](#input-prompts) -4. [Interaction](#interaction) -5. [Context Management](#context-management) -6. [Generation Flags](#generation-flags) -7. [Performance Tuning and Memory Options](#performance-tuning-and-memory-options) -8. [Additional Options](#additional-options) - -## Quick Start - -To get started right away, run the following command, making sure to use the correct path for the model you have: - -#### Unix-based systems (Linux, macOS, etc.): - -```bash -./main -m models/7B/ggml-model.bin --prompt "Once upon a time" -``` - -#### Windows: - -```powershell -main.exe -m models\7B\ggml-model.bin --prompt "Once upon a time" -``` - -For an interactive experience, try this command: - -#### Unix-based systems (Linux, macOS, etc.): - -```bash -./main -m models/7B/ggml-model.bin -n -1 --color -r "User:" --in-prefix " " \ -'User: Hi -AI: Hello. I am an AI chatbot. Would you like to talk? -User: Sure! -AI: What would you like to talk about? -User:' -``` - -#### Windows: - -```powershell -main.exe -m models\7B\ggml-model.bin -n -1 --color -r "User:" --in-prefix " " -e --prompt "User: Hi\nAI: Hello. I am an AI chatbot. Would you like to talk?\nUser: Sure!\nAI: What would you like to talk about?\nUser:" -``` - -The following command generates "infinite" text from a starting prompt (you can use `Ctrl-C` to stop it): - -#### Unix-based systems (Linux, macOS, etc.): - -```bash -./main -m models/7B/ggml-model.bin --ignore-eos -n -1 --random-prompt -``` - -#### Windows: - -```powershell -main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1 --random-prompt -``` - -## Common Options - -In this section, we cover the most commonly used options for running the `main` program with the LLaMA models: - -- `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.bin`). -- `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses. -- `-ins, --instruct`: Run the program in instruction mode, which is particularly useful when working with Alpaca models. -- `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text. -- `-c N, --ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference. - -## Input Prompts - -The `main` program provides several ways to interact with the LLaMA models using input prompts: - -- `--prompt PROMPT`: Provide a prompt directly as a command-line option. -- `--file FNAME`: Provide a file containing a prompt or multiple prompts. -- `--interactive-first`: Run the program in interactive mode and wait for input right away. (More on this below.) -- `--random-prompt`: Start with a randomized prompt. - -## Interaction - -The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive`, `--interactive-first`, and `--instruct`. - -In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing. - -### Interaction Options - -- `-i, --interactive`: Run the program in interactive mode, allowing users to engage in real-time conversations or provide specific instructions to the model. -- `--interactive-first`: Run the program in interactive mode and immediately wait for user input before starting the text generation. -- `-ins, --instruct`: Run the program in instruction mode, which is specifically designed to work with Alpaca models that excel in completing tasks based on user instructions. -- `--color`: Enable colorized output to differentiate visually distinguishing between prompts, user input, and generated text. - -By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs. - -### Reverse Prompts - -Reverse prompts are a powerful way to create a chat-like experience with a LLaMA model by pausing the text generation when specific text strings are encountered: - -- `-r PROMPT, --reverse-prompt PROMPT`: Specify one or multiple reverse prompts to pause text generation and switch to interactive mode. For example, `-r "User:"` can be used to jump back into the conversation whenever it's the user's turn to speak. This helps create a more interactive and conversational experience. However, the reverse prompt doesn't work when it ends with a space. - -To overcome this limitation, you can use the `--in-prefix` flag to add a space or any other characters after the reverse prompt. - -### In-Prefix - -The `--in-prefix` flag is used to add a prefix to your input, primarily, this is used to insert a space after the reverse prompt. Here's an example of how to use the `--in-prefix` flag in conjunction with the `--reverse-prompt` flag: - -```sh -./main -r "User:" --in-prefix " " -``` - -### In-Suffix - -The `--in-suffix` flag is used to add a suffix after your input. This is useful for adding an "Assistant:" prompt after the user's input. It's added after the new-line character (`\n`) that's automatically added to the end of the user's input. Here's an example of how to use the `--in-suffix` flag in conjunction with the `--reverse-prompt` flag: - -```sh -./main -r "User:" --in-prefix " " --in-suffix "Assistant:" -``` - -### Instruction Mode - -Instruction mode is particularly useful when working with Alpaca models, which are designed to follow user instructions for specific tasks: - -- `-ins, --instruct`: Enable instruction mode to leverage the capabilities of Alpaca models in completing tasks based on user-provided instructions. - -Technical detail: the user's input is internally prefixed with the reverse prompt (or `### Instruction:` as the default), and followed by `### Response:` (except if you just press Return without any input, to keep generating a longer response). - -By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs. - -## Context Management - -During text generation, LLaMA models have a limited context size, which means they can only consider a certain number of tokens from the input and generated text. When the context fills up, the model resets internally, potentially losing some information from the beginning of the conversation or instructions. Context management options help maintain continuity and coherence in these situations. - -### Context Size - -The `--ctx-size` option allows you to set the size of the prompt context used by the LLaMA models during text generation. A larger context size helps the model to better comprehend and generate responses for longer input or conversations. - -- `-c N, --ctx-size N`: Set the size of the prompt context (default: 512). The LLaMA models were built with a context of 2048, which will yield the best results on longer input/inference. However, increasing the context size beyond 2048 may lead to unpredictable results. - -### Keep Prompt - -The `--keep` option allows users to retain the original prompt when the model runs out of context, ensuring a connection to the initial instruction or conversation topic is maintained. - -- `--keep N`: Specify the number of tokens from the initial prompt to retain when the model resets its internal context. By default, this value is set to 0 (meaning no tokens are kept). Use `-1` to retain all tokens from the initial prompt. - -By utilizing context management options like `--ctx-size` and `--keep`, you can maintain a more coherent and consistent interaction with the LLaMA models, ensuring that the generated text remains relevant to the original prompt or conversation. - -## Generation Flags - -The following options allow you to control the text generation process and fine-tune the diversity, creativity, and quality of the generated text according to your needs. By adjusting these options and experimenting with different combinations of values, you can find the best settings for your specific use case. - -### Number of Tokens to Predict - -- `-n N, --n-predict N`: Set the number of tokens to predict when generating text (default: 128, -1 = infinity). - -The `--n-predict` option controls the number of tokens the model generates in response to the input prompt. By adjusting this value, you can influence the length of the generated text. A higher value will result in longer text, while a lower value will produce shorter text. A value of -1 will cause text to be generated without limit. - -It is important to note that the generated text may be shorter than the specified number of tokens if an End-of-Sequence (EOS) token or a reverse prompt is encountered. In interactive mode text generation will pause and control will be returned to the user. In non-interactive mode, the program will end. In both cases, the text generation may stop before reaching the specified `n-predict` value. If you want the model to keep going without ever producing End-of-Sequence on its own, you can use the `--ignore-eos` parameter. - -### Temperature - -- `--temp N`: Adjust the randomness of the generated text (default: 0.8). - -Temperature is a hyperparameter that controls the randomness of the generated text. It affects the probability distribution of the model's output tokens. A higher temperature (e.g., 1.5) makes the output more random and creative, while a lower temperature (e.g., 0.5) makes the output more focused, deterministic, and conservative. The default value is 0.8, which provides a balance between randomness and determinism. At the extreme, a temperature of 0 will always pick the most likely next token, leading to identical outputs in each run. - -Example usage: `--temp 0.5` - -### Repeat Penalty - -- `--repeat-penalty N`: Control the repetition of token sequences in the generated text (default: 1.1). -- `--repeat-last-n N`: Last n tokens to consider for penalizing repetition (default: 64, 0 = disabled, -1 = ctx-size). -- `--no-penalize-nl`: Disable penalization for newline tokens when applying the repeat penalty. - -The `repeat-penalty` option helps prevent the model from generating repetitive or monotonous text. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. The default value is 1.1. - -The `repeat-last-n` option controls the number of tokens in the history to consider for penalizing repetition. A larger value will look further back in the generated text to prevent repetitions, while a smaller value will only consider recent tokens. A value of 0 disables the penalty, and a value of -1 sets the number of tokens considered equal to the context size (`ctx-size`). - -Use the `--no-penalize-nl` option to disable newline penalization when applying the repeat penalty. This option is particularly useful for generating chat conversations, dialogues, code, poetry, or any text where newline tokens play a significant role in structure and formatting. Disabling newline penalization helps maintain the natural flow and intended formatting in these specific use cases. - -Example usage: `--repeat-penalty 1.15 --repeat-last-n 128 --no-penalize-nl` - -### Top-K Sampling - -- `--top-k N`: Limit the next token selection to the K most probable tokens (default: 40). - -Top-k sampling is a text generation method that selects the next token only from the top k most likely tokens predicted by the model. It helps reduce the risk of generating low-probability or nonsensical tokens, but it may also limit the diversity of the output. A higher value for top-k (e.g., 100) will consider more tokens and lead to more diverse text, while a lower value (e.g., 10) will focus on the most probable tokens and generate more conservative text. The default value is 40. - -Example usage: `--top-k 30` - -### Top-P Sampling - -- `--top-p N`: Limit the next token selection to a subset of tokens with a cumulative probability above a threshold P (default: 0.9). - -Top-p sampling, also known as nucleus sampling, is another text generation method that selects the next token from a subset of tokens that together have a cumulative probability of at least p. This method provides a balance between diversity and quality by considering both the probabilities of tokens and the number of tokens to sample from. A higher value for top-p (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. The default value is 0.9. - -Example usage: `--top-p 0.95` - -### Tail Free Sampling (TFS) - -- `--tfs N`: Enable tail free sampling with parameter z (default: 1.0, 1.0 = disabled). - -Tail free sampling (TFS) is a text generation technique that aims to reduce the impact of less likely tokens, which may be less relevant, less coherent, or nonsensical, on the output. Similar to Top-P it tries to determine the bulk of the most likely tokens dynamically. But TFS filters out logits based on the second derivative of their probabilities. Adding tokens is stopped after the sum of the second derivatives reaches the parameter z. In short: TFS looks how quickly the probabilities of the tokens decrease and cuts off the tail of unlikely tokens using the parameter z. Typical values for z are in the range of 0.9 to 0.95. A value of 1.0 would include all tokens, and thus disables the effect of TFS. - -Example usage: `--tfs 0.95` - -### Locally Typical Sampling - -- `--typical N`: Enable locally typical sampling with parameter p (default: 1.0, 1.0 = disabled). - -Locally typical sampling promotes the generation of contextually coherent and diverse text by sampling tokens that are typical or expected based on the surrounding context. By setting the parameter p between 0 and 1, you can control the balance between producing text that is locally coherent and diverse. A value closer to 1 will promote more contextually coherent tokens, while a value closer to 0 will promote more diverse tokens. A value equal to 1 disables locally typical sampling. - -Example usage: `--typical 0.9` - -### Mirostat Sampling - -- `--mirostat N`: Enable Mirostat sampling, controlling perplexity during text generation (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). -- `--mirostat-lr N`: Set the Mirostat learning rate, parameter eta (default: 0.1). -- `--mirostat-ent N`: Set the Mirostat target entropy, parameter tau (default: 5.0). - -Mirostat is an algorithm that actively maintains the quality of generated text within a desired range during text generation. It aims to strike a balance between coherence and diversity, avoiding low-quality output caused by excessive repetition (boredom traps) or incoherence (confusion traps). - -The `--mirostat-lr` option sets the Mirostat learning rate (eta). The learning rate influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. The default value is `0.1`. - -The `--mirostat-ent` option sets the Mirostat target entropy (tau), which represents the desired perplexity value for the generated text. Adjusting the target entropy allows you to control the balance between coherence and diversity in the generated text. A lower value will result in more focused and coherent text, while a higher value will lead to more diverse and potentially less coherent text. The default value is `5.0`. - -Example usage: `--mirostat 2 --mirostat-lr 0.05 --mirostat-ent 3.0` - -### Logit Bias - -- `-l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS`: Modify the likelihood of a token appearing in the generated text completion. - -The logit bias option allows you to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. - -For example, use `--logit-bias 15043+1` to increase the likelihood of the token 'Hello', or `--logit-bias 15043-1` to decrease its likelihood. Using a value of negative infinity, `--logit-bias 15043-inf` ensures that the token `Hello` is never produced. - -A more practical use case might be to prevent the generation of `\code{begin}` and `\code{end}` by setting the `\` token (29905) to negative infinity with `-l 29905-inf`. (This is due to the prevalence of LaTeX codes that show up in LLaMA model inference.) - -Example usage: `--logit-bias 29905-inf` - -### RNG Seed - -- `-s SEED, --seed SEED`: Set the random number generator (RNG) seed (default: -1, -1 = random seed). - -The RNG seed is used to initialize the random number generator that influences the text generation process. By setting a specific seed value, you can obtain consistent and reproducible results across multiple runs with the same input and settings. This can be helpful for testing, debugging, or comparing the effects of different options on the generated text to see when they diverge. If the seed is set to a value less than 0, a random seed will be used, which will result in different outputs on each run. - -## Performance Tuning and Memory Options - -These options help improve the performance and memory usage of the LLaMA models. By adjusting these settings, you can fine-tune the model's behavior to better suit your system's capabilities and achieve optimal performance for your specific use case. - -### Number of Threads - -- `-t N, --threads N`: Set the number of threads to use during computation. For optimal performance, it is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). Using the correct number of threads can greatly improve performance. - -### Mlock - -- `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped. This can improve performance but trades away some of the advantages of memory-mapping by requiring more RAM to run and potentially slowing down load times as the model loads into RAM. - -### No Memory Mapping - -- `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed. However, if the model is larger than your total amount of RAM or if your system is low on available memory, using mmap might increase the risk of pageouts, negatively impacting performance. Disabling mmap results in slower load times but may reduce pageouts if you're not using `--mlock`. Note that if the model is larger than the total amount of RAM, turning off mmap would prevent the model from loading at all. - -### NUMA support - -- `--numa`: Attempt optimizations that help on some systems with non-uniform memory access. This currently consists of pinning an equal proportion of the threads to the cores on each NUMA node, and disabling prefetch and readahead for mmap. The latter causes mapped pages to be faulted in on first access instead of all at once, and in combination with pinning threads to NUMA nodes, more of the pages end up on the NUMA node where they are used. Note that if the model is already in the system page cache, for example because of a previous run without this option, this will have little effect unless you drop the page cache first. This can be done by rebooting the system or on Linux by writing '3' to '/proc/sys/vm/drop\_caches' as root. - -### Memory Float 32 - -- `--memory-f32`: Use 32-bit floats instead of 16-bit floats for memory key+value. This doubles the context memory requirement and cached prompt file size but does not appear to increase generation quality in a measurable way. Not recommended. - -### Batch Size - -- `-b N, --batch-size N`: Set the batch size for prompt processing (default: 512). This large batch size benefits users who have BLAS installed and enabled it during the build. If you don't have BLAS enabled ("BLAS=0"), you can use a smaller number, such as 8, to see the prompt progress as it's evaluated in some situations. - -### Prompt Caching - -- `--prompt-cache FNAME`: Specify a file to cache the model state after the initial prompt. This can significantly speed up the startup time when you're using longer prompts. The file is created during the first run and is reused and updated in subsequent runs. **Note**: Restoring a cached prompt does not imply restoring the exact state of the session at the point it was saved. So even when specifying a specific seed, you are not guaranteed to get the same sequence of tokens as the original generation. - -### Quantization - -For information about 4-bit quantization, which can significantly improve performance and reduce memory usage, please refer to llama.cpp's primary [README](../../README.md#prepare-data--run). - -## Additional Options - -These options provide extra functionality and customization when running the LLaMA models: - -- `-h, --help`: Display a help message showing all available options and their default values. This is particularly useful for checking the latest options and default values, as they can change frequently, and the information in this document may become outdated. -- `--verbose-prompt`: Print the prompt before generating text. -- `--mtest`: Test the model's functionality by running a series of tests to ensure it's working properly. -- `-ngl N, --n-gpu-layers N`: When compiled with appropriate support (currently CLBlast or cuBLAS), this option allows offloading some layers to the GPU for computation. Generally results in increased performance. -- `-mg i, --main-gpu i`: When using multiple GPUs this option controls which GPU is used for small tensors for which the overhead of splitting the computation across all GPUs is not worthwhile. The GPU in question will use slightly more VRAM to store a scratch buffer for temporary results. By default GPU 0 is used. Requires cuBLAS. -- `-ts SPLIT, --tensor-split SPLIT`: When using multiple GPUs this option controls how large tensors should be split across all GPUs. `SPLIT` is a comma-separated list of non-negative values that assigns the proportion of data that each GPU should get in order. For example, "3,2" will assign 60% of the data to GPU 0 and 40% to GPU 1. By default the data is split in proportion to VRAM but this may not be optimal for performance. Requires cuBLAS. -- `-lv, --low-vram`: Do not allocate a VRAM scratch buffer for holding temporary results. Reduces VRAM usage at the cost of performance, particularly prompt processing speed. Requires cuBLAS. -- `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains. -- `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation. diff --git a/llama.cpp/examples/main/main.cpp b/llama.cpp/examples/main/main.cpp deleted file mode 100644 index 3796a92..0000000 --- a/llama.cpp/examples/main/main.cpp +++ /dev/null @@ -1,824 +0,0 @@ -// Defines sigaction on msys: -#ifndef _GNU_SOURCE -#define _GNU_SOURCE -#endif - -#include "common.h" -#include "llama.h" -#include "build-info.h" -#include "grammar-parser.h" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) -#include -#include -#elif defined (_WIN32) -#define WIN32_LEAN_AND_MEAN -#ifndef NOMINMAX -#define NOMINMAX -#endif -#include -#include -#endif - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -static console_state con_st; -static llama_context ** g_ctx; - -static bool is_interacting = false; - -#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32) -void sigint_handler(int signo) { - if (signo == SIGINT) { - if (!is_interacting) { - is_interacting=true; - } else { - console_cleanup(con_st); - printf("\n"); - llama_print_timings(*g_ctx); - _exit(130); - } - } -} -#endif - -int main(int argc, char ** argv) { - gpt_params params; - - if (gpt_params_parse(argc, argv, params) == false) { - return 1; - } - - // save choice to use color for later - // (note for later: this is a slightly awkward choice) - con_st.use_color = params.use_color; - con_st.multiline_input = params.multiline_input; - console_init(con_st); - atexit([]() { console_cleanup(con_st); }); - - if (params.perplexity) { - printf("\n************\n"); - printf("%s: please use the 'perplexity' tool for perplexity calculations\n", __func__); - printf("************\n\n"); - - return 0; - } - - if (params.embedding) { - printf("\n************\n"); - printf("%s: please use the 'embedding' tool for embedding calculations\n", __func__); - printf("************\n\n"); - - return 0; - } - - if (params.rope_freq_base != 10000.0) { - fprintf(stderr, "%s: warning: changing RoPE frequency base to %g (default 10000.0)\n", __func__, params.rope_freq_base); - } - - if (params.rope_freq_scale != 1.0) { - fprintf(stderr, "%s: warning: scaling RoPE frequency by %g (default 1.0)\n", __func__, params.rope_freq_scale); - } - - if (params.n_ctx > 2048) { - // TODO: determine the actual max context of the model (e.g. 4096 for LLaMA v2) and use that instead of 2048 - fprintf(stderr, "%s: warning: base model only supports context sizes no greater than 2048 tokens (%d specified)\n", __func__, params.n_ctx); - } else if (params.n_ctx < 8) { - fprintf(stderr, "%s: warning: minimum context size is 8, using minimum size.\n", __func__); - params.n_ctx = 8; - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - if (params.seed == LLAMA_DEFAULT_SEED) { - params.seed = time(NULL); - } - - fprintf(stderr, "%s: seed = %u\n", __func__, params.seed); - - std::mt19937 rng(params.seed); - if (params.random_prompt) { - params.prompt = gpt_random_prompt(rng); - } - - llama_backend_init(params.numa); - - llama_model * model; - llama_context * ctx; - llama_context * ctx_guidance = NULL; - g_ctx = &ctx; - - // load the model and apply lora adapter, if any - std::tie(model, ctx) = llama_init_from_gpt_params(params); - if (params.cfg_scale > 1.f) { - struct llama_context_params lparams = llama_context_params_from_gpt_params(params); - ctx_guidance = llama_new_context_with_model(model, lparams); - } - - if (model == NULL) { - fprintf(stderr, "%s: error: unable to load model\n", __func__); - return 1; - } - - // print system information - { - fprintf(stderr, "\n"); - fprintf(stderr, "system_info: n_threads = %d / %d | %s\n", - params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info()); - } - - // determine the maximum memory usage needed to do inference for the given n_batch and n_ctx parameters - // uncomment the "used_mem" line in llama.cpp to see the results - if (params.mem_test) { - { - fprintf(stderr, "%s: testing memory usage for n_batch = %d, n_ctx = %d\n", __func__, params.n_batch, params.n_ctx); - - const std::vector tmp(params.n_batch, llama_token_bos()); - llama_eval(ctx, tmp.data(), tmp.size(), params.n_ctx, params.n_threads); - } - - llama_print_timings(ctx); - llama_free(ctx); - llama_free_model(model); - - return 0; - } - - // export the cgraph and exit - if (params.export_cgraph) { - llama_eval_export(ctx, "llama.ggml"); - llama_free(ctx); - llama_free_model(model); - - return 0; - } - - std::string path_session = params.path_prompt_cache; - std::vector session_tokens; - - if (!path_session.empty()) { - fprintf(stderr, "%s: attempting to load saved session from '%s'\n", __func__, path_session.c_str()); - - // fopen to check for existing session - FILE * fp = std::fopen(path_session.c_str(), "rb"); - if (fp != NULL) { - std::fclose(fp); - - session_tokens.resize(params.n_ctx); - size_t n_token_count_out = 0; - if (!llama_load_session_file(ctx, path_session.c_str(), session_tokens.data(), session_tokens.capacity(), &n_token_count_out)) { - fprintf(stderr, "%s: error: failed to load session file '%s'\n", __func__, path_session.c_str()); - return 1; - } - session_tokens.resize(n_token_count_out); - llama_set_rng_seed(ctx, params.seed); - - fprintf(stderr, "%s: loaded a session with prompt size of %d tokens\n", __func__, (int) session_tokens.size()); - } else { - fprintf(stderr, "%s: session file does not exist, will create\n", __func__); - } - } - - // tokenize the prompt - std::vector embd_inp; - - // Add a space in front of the first character to match OG llama tokenizer behavior - params.prompt.insert(0, 1, ' '); - - if (params.interactive_first || params.instruct || !params.prompt.empty() || session_tokens.empty()) { - embd_inp = ::llama_tokenize(ctx, params.prompt, true); - } else { - embd_inp = session_tokens; - } - - // Tokenize negative prompt - std::vector guidance_inp; - int guidance_offset = 0; - int original_prompt_len = 0; - if (ctx_guidance) { - params.cfg_negative_prompt.insert(0, 1, ' '); - guidance_inp = ::llama_tokenize(ctx_guidance, params.cfg_negative_prompt, true); - - std::vector original_inp = ::llama_tokenize(ctx, params.prompt, true); - original_prompt_len = original_inp.size(); - guidance_offset = (int)guidance_inp.size() - original_prompt_len; - } - - const int n_ctx = llama_n_ctx(ctx); - - if ((int) embd_inp.size() > n_ctx - 4) { - fprintf(stderr, "%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4); - return 1; - } - - // debug message about similarity of saved session, if applicable - size_t n_matching_session_tokens = 0; - if (session_tokens.size()) { - for (llama_token id : session_tokens) { - if (n_matching_session_tokens >= embd_inp.size() || id != embd_inp[n_matching_session_tokens]) { - break; - } - n_matching_session_tokens++; - } - if (params.prompt.empty() && n_matching_session_tokens == embd_inp.size()) { - fprintf(stderr, "%s: using full prompt from session file\n", __func__); - } else if (n_matching_session_tokens >= embd_inp.size()) { - fprintf(stderr, "%s: session file has exact match for prompt!\n", __func__); - } else if (n_matching_session_tokens < (embd_inp.size() / 2)) { - fprintf(stderr, "%s: warning: session file has low similarity to prompt (%zu / %zu tokens); will mostly be reevaluated\n", - __func__, n_matching_session_tokens, embd_inp.size()); - } else { - fprintf(stderr, "%s: session file matches %zu / %zu tokens of prompt\n", - __func__, n_matching_session_tokens, embd_inp.size()); - } - } - - // if we will use the cache for the full prompt without reaching the end of the cache, force - // reevaluation of the last token token to recalculate the cached logits - if (!embd_inp.empty() && n_matching_session_tokens == embd_inp.size() && - session_tokens.size() > embd_inp.size()) { - session_tokens.resize(embd_inp.size() - 1); - } - - // number of tokens to keep when resetting context - if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size() || params.instruct) { - params.n_keep = (int)embd_inp.size(); - } - - // prefix & suffix for instruct mode - const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true); - const auto inp_sfx = ::llama_tokenize(ctx, "\n\n### Response:\n\n", false); - - // in instruct mode, we inject a prefix and a suffix to each input by the user - if (params.instruct) { - params.interactive_first = true; - params.antiprompt.push_back("### Instruction:\n\n"); - } - - // enable interactive mode if interactive start is specified - if (params.interactive_first) { - params.interactive = true; - } - - // determine newline token - auto llama_token_newline = ::llama_tokenize(ctx, "\n", false); - - if (params.verbose_prompt) { - fprintf(stderr, "\n"); - fprintf(stderr, "%s: prompt: '%s'\n", __func__, params.prompt.c_str()); - fprintf(stderr, "%s: number of tokens in prompt = %zu\n", __func__, embd_inp.size()); - for (int i = 0; i < (int) embd_inp.size(); i++) { - fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i])); - } - - if (ctx_guidance) { - fprintf(stderr, "\n"); - fprintf(stderr, "%s: negative prompt: '%s'\n", __func__, params.cfg_negative_prompt.c_str()); - fprintf(stderr, "%s: number of tokens in negative prompt = %zu\n", __func__, guidance_inp.size()); - for (int i = 0; i < (int) guidance_inp.size(); i++) { - fprintf(stderr, "%6d -> '%s'\n", guidance_inp[i], llama_token_to_str(ctx, guidance_inp[i])); - } - } - - if (params.n_keep > 0) { - fprintf(stderr, "%s: static prompt based on n_keep: '", __func__); - for (int i = 0; i < params.n_keep; i++) { - fprintf(stderr, "%s", llama_token_to_str(ctx, embd_inp[i])); - } - fprintf(stderr, "'\n"); - } - fprintf(stderr, "\n"); - } - - if (params.interactive) { -#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) - struct sigaction sigint_action; - sigint_action.sa_handler = sigint_handler; - sigemptyset (&sigint_action.sa_mask); - sigint_action.sa_flags = 0; - sigaction(SIGINT, &sigint_action, NULL); -#elif defined (_WIN32) - auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL { - return (ctrl_type == CTRL_C_EVENT) ? (sigint_handler(SIGINT), true) : false; - }; - SetConsoleCtrlHandler(static_cast(console_ctrl_handler), true); -#endif - - fprintf(stderr, "%s: interactive mode on.\n", __func__); - - if (params.antiprompt.size()) { - for (auto antiprompt : params.antiprompt) { - fprintf(stderr, "Reverse prompt: '%s'\n", antiprompt.c_str()); - } - } - - if (params.input_prefix_bos) { - fprintf(stderr, "Input prefix with BOS\n"); - } - - if (!params.input_prefix.empty()) { - fprintf(stderr, "Input prefix: '%s'\n", params.input_prefix.c_str()); - } - - if (!params.input_suffix.empty()) { - fprintf(stderr, "Input suffix: '%s'\n", params.input_suffix.c_str()); - } - } - fprintf(stderr, "sampling: repeat_last_n = %d, repeat_penalty = %f, presence_penalty = %f, frequency_penalty = %f, top_k = %d, tfs_z = %f, top_p = %f, typical_p = %f, temp = %f, mirostat = %d, mirostat_lr = %f, mirostat_ent = %f\n", - params.repeat_last_n, params.repeat_penalty, params.presence_penalty, params.frequency_penalty, params.top_k, params.tfs_z, params.top_p, params.typical_p, params.temp, params.mirostat, params.mirostat_eta, params.mirostat_tau); - fprintf(stderr, "generate: n_ctx = %d, n_batch = %d, n_predict = %d, n_keep = %d\n", n_ctx, params.n_batch, params.n_predict, params.n_keep); - fprintf(stderr, "\n\n"); - - grammar_parser::parse_state parsed_grammar; - llama_grammar * grammar = NULL; - if (!params.grammar.empty()) { - parsed_grammar = grammar_parser::parse(params.grammar.c_str()); - // will be empty (default) if there are parse errors - if (parsed_grammar.rules.empty()) { - return 1; - } - fprintf(stderr, "%s: grammar:\n", __func__); - grammar_parser::print_grammar(stderr, parsed_grammar); - fprintf(stderr, "\n"); - - { - auto it = params.logit_bias.find(llama_token_eos()); - if (it != params.logit_bias.end() && it->second == -INFINITY) { - fprintf(stderr, - "%s: warning: EOS token is disabled, which will cause most grammars to fail\n", __func__); - } - } - - std::vector grammar_rules(parsed_grammar.c_rules()); - grammar = llama_grammar_init( - grammar_rules.data(), grammar_rules.size(), parsed_grammar.symbol_ids.at("root")); - } - - // TODO: replace with ring-buffer - std::vector last_n_tokens(n_ctx); - std::fill(last_n_tokens.begin(), last_n_tokens.end(), 0); - - if (params.interactive) { - const char *control_message; - if (con_st.multiline_input) { - control_message = " - To return control to LLaMa, end your input with '\\'.\n" - " - To return control without starting a new line, end your input with '/'.\n"; - } else { - control_message = " - Press Return to return control to LLaMa.\n" - " - To return control without starting a new line, end your input with '/'.\n" - " - If you want to submit another line, end your input with '\\'.\n"; - } - fprintf(stderr, "== Running in interactive mode. ==\n" -#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32) - " - Press Ctrl+C to interject at any time.\n" -#endif - "%s\n", control_message); - - is_interacting = params.interactive_first; - } - - bool is_antiprompt = false; - bool input_echo = true; - bool need_to_save_session = !path_session.empty() && n_matching_session_tokens < embd_inp.size(); - - int n_past = 0; - int n_remain = params.n_predict; - int n_consumed = 0; - int n_session_consumed = 0; - int n_past_guidance = 0; - - // the first thing we will do is to output the prompt, so set color accordingly - console_set_color(con_st, CONSOLE_COLOR_PROMPT); - - std::vector embd; - std::vector embd_guidance; - - // do one empty run to warm up the model - { - const std::vector tmp = { llama_token_bos(), }; - llama_eval(ctx, tmp.data(), tmp.size(), 0, params.n_threads); - llama_reset_timings(ctx); - } - - while ((n_remain != 0 && !is_antiprompt) || params.interactive) { - // predict - if (embd.size() > 0) { - // Note: n_ctx - 4 here is to match the logic for commandline prompt handling via - // --prompt or --file which uses the same value. - auto max_embd_size = n_ctx - 4; - // Ensure the input doesn't exceed the context size by truncating embd if necessary. - if ((int)embd.size() > max_embd_size) { - auto skipped_tokens = embd.size() - max_embd_size; - console_set_color(con_st, CONSOLE_COLOR_ERROR); - printf("<>", skipped_tokens, skipped_tokens != 1 ? "s" : ""); - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); - fflush(stdout); - embd.resize(max_embd_size); - } - - // infinite text generation via context swapping - // if we run out of context: - // - take the n_keep first tokens from the original prompt (via n_past) - // - take half of the last (n_ctx - n_keep) tokens and recompute the logits in batches - if (n_past + (int) embd.size() + std::max(0, guidance_offset) > n_ctx) { - const int n_left = n_past - params.n_keep; - - // always keep the first token - BOS - n_past = std::max(1, params.n_keep); - n_past_guidance = std::max(1, params.n_keep + guidance_offset); - - // insert n_left/2 tokens at the start of embd from last_n_tokens - embd.insert(embd.begin(), last_n_tokens.begin() + n_ctx - n_left/2 - embd.size(), last_n_tokens.end() - embd.size()); - - // stop saving session if we run out of context - path_session.clear(); - - //printf("\n---\n"); - //printf("resetting: '"); - //for (int i = 0; i < (int) embd.size(); i++) { - // printf("%s", llama_token_to_str(ctx, embd[i])); - //} - //printf("'\n"); - //printf("\n---\n"); - } - - // try to reuse a matching prefix from the loaded session instead of re-eval (via n_past) - if (n_session_consumed < (int) session_tokens.size()) { - size_t i = 0; - for ( ; i < embd.size(); i++) { - if (embd[i] != session_tokens[n_session_consumed]) { - session_tokens.resize(n_session_consumed); - break; - } - - n_past++; - n_session_consumed++; - - if (n_session_consumed >= (int) session_tokens.size()) { - ++i; - break; - } - } - if (i > 0) { - embd.erase(embd.begin(), embd.begin() + i); - } - } - - // evaluate tokens in batches - // embd is typically prepared beforehand to fit within a batch, but not always - - if (ctx_guidance) { - int input_size = 0; - llama_token* input_buf = NULL; - - if (n_past_guidance < (int) guidance_inp.size()) { - // Guidance context should have the same data with these modifications: - // - // * Replace the initial prompt - // * Shift everything by guidance_offset - embd_guidance = guidance_inp; - if (embd.begin() + original_prompt_len < embd.end()) { - embd_guidance.insert( - embd_guidance.end(), - embd.begin() + original_prompt_len, - embd.end() - ); - } - - input_buf = embd_guidance.data(); - input_size = embd_guidance.size(); - //fprintf(stderr, "\n---------------------\n"); - //for (int i = 0; i < (int) embd_guidance.size(); i++) { - //fprintf(stderr, "%s", llama_token_to_str(ctx, embd_guidance[i])); - //} - //fprintf(stderr, "\n---------------------\n"); - } else { - input_buf = embd.data(); - input_size = embd.size(); - } - - for (int i = 0; i < input_size; i += params.n_batch) { - int n_eval = std::min(input_size - i, params.n_batch); - if (llama_eval(ctx_guidance, input_buf + i, n_eval, n_past_guidance, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return 1; - } - - n_past_guidance += n_eval; - } - } - - for (int i = 0; i < (int) embd.size(); i += params.n_batch) { - int n_eval = (int) embd.size() - i; - if (n_eval > params.n_batch) { - n_eval = params.n_batch; - } - if (llama_eval(ctx, &embd[i], n_eval, n_past, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return 1; - } - n_past += n_eval; - } - - if (embd.size() > 0 && !path_session.empty()) { - session_tokens.insert(session_tokens.end(), embd.begin(), embd.end()); - n_session_consumed = session_tokens.size(); - } - } - - embd.clear(); - embd_guidance.clear(); - - if ((int) embd_inp.size() <= n_consumed && !is_interacting) { - // out of user input, sample next token - const float temp = params.temp; - const int32_t top_k = params.top_k <= 0 ? llama_n_vocab(ctx) : params.top_k; - const float top_p = params.top_p; - const float tfs_z = params.tfs_z; - const float typical_p = params.typical_p; - const int32_t repeat_last_n = params.repeat_last_n < 0 ? n_ctx : params.repeat_last_n; - const float repeat_penalty = params.repeat_penalty; - const float alpha_presence = params.presence_penalty; - const float alpha_frequency = params.frequency_penalty; - const int mirostat = params.mirostat; - const float mirostat_tau = params.mirostat_tau; - const float mirostat_eta = params.mirostat_eta; - const bool penalize_nl = params.penalize_nl; - - // optionally save the session on first sample (for faster prompt loading next time) - if (!path_session.empty() && need_to_save_session && !params.prompt_cache_ro) { - need_to_save_session = false; - llama_save_session_file(ctx, path_session.c_str(), session_tokens.data(), session_tokens.size()); - } - - llama_token id = 0; - - { - auto logits = llama_get_logits(ctx); - auto n_vocab = llama_n_vocab(ctx); - - // Apply params.logit_bias map - for (auto it = params.logit_bias.begin(); it != params.logit_bias.end(); it++) { - logits[it->first] += it->second; - } - - std::vector candidates; - candidates.reserve(n_vocab); - for (llama_token token_id = 0; token_id < n_vocab; token_id++) { - candidates.emplace_back(llama_token_data{token_id, logits[token_id], 0.0f}); - } - - llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false }; - - if (ctx_guidance) { - llama_sample_classifier_free_guidance(ctx, &candidates_p, ctx_guidance, params.cfg_scale); - } - - // Apply penalties - float nl_logit = logits[llama_token_nl()]; - auto last_n_repeat = std::min(std::min((int)last_n_tokens.size(), repeat_last_n), n_ctx); - llama_sample_repetition_penalty(ctx, &candidates_p, - last_n_tokens.data() + last_n_tokens.size() - last_n_repeat, - last_n_repeat, repeat_penalty); - llama_sample_frequency_and_presence_penalties(ctx, &candidates_p, - last_n_tokens.data() + last_n_tokens.size() - last_n_repeat, - last_n_repeat, alpha_frequency, alpha_presence); - if (!penalize_nl) { - logits[llama_token_nl()] = nl_logit; - } - - if (grammar != NULL) { - llama_sample_grammar(ctx, &candidates_p, grammar); - } - - if (temp <= 0) { - // Greedy sampling - id = llama_sample_token_greedy(ctx, &candidates_p); - } else { - if (mirostat == 1) { - static float mirostat_mu = 2.0f * mirostat_tau; - const int mirostat_m = 100; - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token_mirostat(ctx, &candidates_p, mirostat_tau, mirostat_eta, mirostat_m, &mirostat_mu); - } else if (mirostat == 2) { - static float mirostat_mu = 2.0f * mirostat_tau; - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token_mirostat_v2(ctx, &candidates_p, mirostat_tau, mirostat_eta, &mirostat_mu); - } else { - // Temperature sampling - llama_sample_top_k(ctx, &candidates_p, top_k, 1); - llama_sample_tail_free(ctx, &candidates_p, tfs_z, 1); - llama_sample_typical(ctx, &candidates_p, typical_p, 1); - llama_sample_top_p(ctx, &candidates_p, top_p, 1); - llama_sample_temperature(ctx, &candidates_p, temp); - id = llama_sample_token(ctx, &candidates_p); - } - } - // printf("`%d`", candidates_p.size); - - if (grammar != NULL) { - llama_grammar_accept_token(ctx, grammar, id); - } - - last_n_tokens.erase(last_n_tokens.begin()); - last_n_tokens.push_back(id); - } - - // add it to the context - embd.push_back(id); - - // echo this to console - input_echo = true; - - // decrement remaining sampling budget - --n_remain; - } else { - // some user input remains from prompt or interaction, forward it to processing - while ((int) embd_inp.size() > n_consumed) { - embd.push_back(embd_inp[n_consumed]); - last_n_tokens.erase(last_n_tokens.begin()); - last_n_tokens.push_back(embd_inp[n_consumed]); - ++n_consumed; - if ((int) embd.size() >= params.n_batch) { - break; - } - } - } - - // display text - if (input_echo) { - for (auto id : embd) { - printf("%s", llama_token_to_str(ctx, id)); - } - fflush(stdout); - } - // reset color to default if we there is no pending user input - if (input_echo && (int)embd_inp.size() == n_consumed) { - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); - } - - // if not currently processing queued inputs; - if ((int) embd_inp.size() <= n_consumed) { - - // check for reverse prompt - if (params.antiprompt.size()) { - std::string last_output; - for (auto id : last_n_tokens) { - last_output += llama_token_to_str(ctx, id); - } - - is_antiprompt = false; - // Check if each of the reverse prompts appears at the end of the output. - // If we're not running interactively, the reverse prompt might be tokenized with some following characters - // so we'll compensate for that by widening the search window a bit. - for (std::string & antiprompt : params.antiprompt) { - size_t extra_padding = params.interactive ? 0 : 2; - size_t search_start_pos = last_output.length() > static_cast(antiprompt.length() + extra_padding) - ? last_output.length() - static_cast(antiprompt.length() + extra_padding) - : 0; - - if (last_output.find(antiprompt.c_str(), search_start_pos) != std::string::npos) { - if (params.interactive) { - is_interacting = true; - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - } - is_antiprompt = true; - fflush(stdout); - break; - } - } - } - - // deal with end of text token in interactive mode - if (last_n_tokens.back() == llama_token_eos()) { - if (params.interactive) { - if (params.antiprompt.size() != 0) { - // tokenize and inject first reverse prompt - const auto first_antiprompt = ::llama_tokenize(ctx, params.antiprompt.front(), false); - embd_inp.insert(embd_inp.end(), first_antiprompt.begin(), first_antiprompt.end()); - is_antiprompt = true; - } - - is_interacting = true; - printf("\n"); - console_set_color(con_st, CONSOLE_COLOR_USER_INPUT); - fflush(stdout); - } else if (params.instruct) { - is_interacting = true; - } - } - - if (n_past > 0 && is_interacting) { - if (params.instruct) { - printf("\n> "); - } - - if (params.input_prefix_bos) { - embd_inp.push_back(llama_token_bos()); - } - - std::string buffer; - if (!params.input_prefix.empty()) { - buffer += params.input_prefix; - printf("%s", buffer.c_str()); - } - - std::string line; - bool another_line = true; - do { - another_line = console_readline(con_st, line); - buffer += line; - } while (another_line); - - // done taking input, reset color - console_set_color(con_st, CONSOLE_COLOR_DEFAULT); - - // Add tokens to embd only if the input buffer is non-empty - // Entering a empty line lets the user pass control back - if (buffer.length() > 1) { - // append input suffix if any - if (!params.input_suffix.empty()) { - buffer += params.input_suffix; - printf("%s", params.input_suffix.c_str()); - } - - // instruct mode: insert instruction prefix - if (params.instruct && !is_antiprompt) { - n_consumed = embd_inp.size(); - embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end()); - } - - auto line_inp = ::llama_tokenize(ctx, buffer, false); - embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end()); - - // instruct mode: insert response suffix - if (params.instruct) { - embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end()); - } - - n_remain -= line_inp.size(); - } - - input_echo = false; // do not echo this again - } - - if (n_past > 0) { - if (is_interacting) { - // reset grammar state if we're restarting generation - if (grammar != NULL) { - llama_grammar_free(grammar); - - std::vector grammar_rules( - parsed_grammar.c_rules()); - grammar = llama_grammar_init( - grammar_rules.data(), grammar_rules.size(), - parsed_grammar.symbol_ids.at("root")); - } - } - is_interacting = false; - } - } - - // end of text token - if (!embd.empty() && embd.back() == llama_token_eos() && !(params.instruct || params.interactive)) { - fprintf(stderr, " [end of text]\n"); - break; - } - - // In interactive mode, respect the maximum number of tokens and drop back to user input when reached. - if (params.interactive && n_remain <= 0 && params.n_predict != -1) { - n_remain = params.n_predict; - is_interacting = true; - } - } - - if (!path_session.empty() && params.prompt_cache_all && !params.prompt_cache_ro) { - fprintf(stderr, "\n%s: saving final output to session file '%s'\n", __func__, path_session.c_str()); - llama_save_session_file(ctx, path_session.c_str(), session_tokens.data(), session_tokens.size()); - } - - llama_print_timings(ctx); - if (ctx_guidance) { llama_free(ctx_guidance); } - llama_free(ctx); - llama_free_model(model); - - if (grammar != NULL) { - llama_grammar_free(grammar); - } - llama_backend_free(); - - return 0; -} diff --git a/llama.cpp/examples/make-ggml.py b/llama.cpp/examples/make-ggml.py deleted file mode 100644 index f63d9fc..0000000 --- a/llama.cpp/examples/make-ggml.py +++ /dev/null @@ -1,92 +0,0 @@ -""" -This script converts Hugging Face llama models to GGML and quantizes them. - -Usage: -python make-ggml.py --model {model_dir_or_hf_repo_name} [--outname {output_name} (Optional)] [--outdir {output_directory} (Optional)] [--quants {quant_types} (Optional)] [--keep_fp16 (Optional)] - -Arguments: -- --model: (Required) The directory of the downloaded Hugging Face model or the name of the Hugging Face model repository. If the model directory does not exist, it will be downloaded from the Hugging Face model hub. -- --outname: (Optional) The name of the output model. If not specified, the last part of the model directory path or the Hugging Face model repo name will be used. -- --outdir: (Optional) The directory where the output model(s) will be stored. If not specified, '../models/{outname}' will be used. -- --quants: (Optional) The types of quantization to apply. This should be a space-separated list. The default is 'Q4_K_M Q5_K_S'. -- --keep_fp16: (Optional) If specified, the FP16 model will not be deleted after the quantized models are created. - -Quant types: -- Q4_0: small, very high quality loss - legacy, prefer using Q3_K_M -- Q4_1: small, substantial quality loss - legacy, prefer using Q3_K_L -- Q5_0: medium, balanced quality - legacy, prefer using Q4_K_M -- Q5_1: medium, low quality loss - legacy, prefer using Q5_K_M -- Q2_K: smallest, extreme quality loss - not recommended -- Q3_K: alias for Q3_K_M -- Q3_K_S: very small, very high quality loss -- Q3_K_M: very small, very high quality loss -- Q3_K_L: small, substantial quality loss -- Q4_K: alias for Q4_K_M -- Q4_K_S: small, significant quality loss -- Q4_K_M: medium, balanced quality - recommended -- Q5_K: alias for Q5_K_M -- Q5_K_S: large, low quality loss - recommended -- Q5_K_M: large, very low quality loss - recommended -- Q6_K: very large, extremely low quality loss -- Q8_0: very large, extremely low quality loss - not recommended -- F16: extremely large, virtually no quality loss - not recommended -- F32: absolutely huge, lossless - not recommended -""" -import subprocess -subprocess.run(f"pip install huggingface-hub==0.16.4", shell=True, check=True) - -import argparse -import os -from huggingface_hub import snapshot_download - -def main(model, outname, outdir, quants, keep_fp16): - ggml_version = "v3" - - if not os.path.isdir(model): - print(f"Model not found at {model}. Downloading...") - try: - if outname is None: - outname = model.split('/')[-1] - model = snapshot_download(repo_id=model, cache_dir='../models/hf_cache') - except Exception as e: - raise Exception(f"Could not download the model: {e}") - - if outdir is None: - outdir = f'../models/{outname}' - - if not os.path.isfile(f"{model}/config.json"): - raise Exception(f"Could not find config.json in {model}") - - os.makedirs(outdir, exist_ok=True) - - print("Building llama.cpp") - subprocess.run(f"cd .. && make quantize", shell=True, check=True) - - fp16 = f"{outdir}/{outname}.ggml{ggml_version}.fp16.bin" - - print(f"Making unquantised GGML at {fp16}") - if not os.path.isfile(fp16): - subprocess.run(f"python3 ../convert.py {model} --outtype f16 --outfile {fp16}", shell=True, check=True) - else: - print(f"Unquantised GGML already exists at: {fp16}") - - print("Making quants") - for type in quants: - outfile = f"{outdir}/{outname}.ggml{ggml_version}.{type}.bin" - print(f"Making {type} : {outfile}") - subprocess.run(f"../quantize {fp16} {outfile} {type}", shell=True, check=True) - - if not keep_fp16: - os.remove(fp16) - -if __name__ == "__main__": - parser = argparse.ArgumentParser(description='Convert/Quantize HF to GGML. If you have the HF model downloaded already, pass the path to the model dir. Otherwise, pass the Hugging Face model repo name. You need to be in the /examples folder for it to work.') - parser.add_argument('--model', required=True, help='Downloaded model dir or Hugging Face model repo name') - parser.add_argument('--outname', default=None, help='Output model(s) name') - parser.add_argument('--outdir', default=None, help='Output directory') - parser.add_argument('--quants', nargs='*', default=["Q4_K_M", "Q5_K_S"], help='Quant types') - parser.add_argument('--keep_fp16', action='store_true', help='Keep fp16 model', default=False) - - args = parser.parse_args() - - main(args.model, args.outname, args.outdir, args.quants, args.keep_fp16) diff --git a/llama.cpp/examples/metal/CMakeLists.txt b/llama.cpp/examples/metal/CMakeLists.txt deleted file mode 100644 index f16d491..0000000 --- a/llama.cpp/examples/metal/CMakeLists.txt +++ /dev/null @@ -1,4 +0,0 @@ -set(TEST_TARGET metal) -add_executable(${TEST_TARGET} metal.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TEST_TARGET} PRIVATE ggml) diff --git a/llama.cpp/examples/metal/metal.cpp b/llama.cpp/examples/metal/metal.cpp deleted file mode 100644 index 7438def..0000000 --- a/llama.cpp/examples/metal/metal.cpp +++ /dev/null @@ -1,103 +0,0 @@ -// Evaluate a statically exported ggml computation graph with Metal -// -// - First, export a LLaMA graph: -// -// $ ./bin/main -m ../models/7B/ggml-model-q4_0.bin --export -// -// - Run this tool to evaluate the exported graph: -// -// $ ./bin/metal llama.ggml -// -// The purpose of this tool is mostly for debugging and demonstration purposes. -// The main limitation of exporting computation graphs is that their sizes are static which often -// can be a problem for real-world applications. -// - -#include "ggml.h" -#include "ggml-metal.h" - -#include -#include -#include - -int main(int argc, char ** argv) { - ggml_time_init(); - - if (argc != 2) { - fprintf(stderr, "Usage: %s llama.ggml\n", argv[0]); - return -1; - } - - const char * fname_cgraph = argv[1]; - - // load the compute graph - struct ggml_context * ctx_data = NULL; - struct ggml_context * ctx_eval = NULL; - - struct ggml_cgraph gf = ggml_graph_import(fname_cgraph, &ctx_data, &ctx_eval); - - // this allocates all Metal resources and memory buffers - auto * ctx_metal = ggml_metal_init(1); - - const size_t max_size_data = ggml_get_max_tensor_size(ctx_data); - const size_t max_size_eval = ggml_get_max_tensor_size(ctx_eval); - ggml_metal_add_buffer(ctx_metal, "data", ggml_get_mem_buffer(ctx_data), ggml_get_mem_size(ctx_data), max_size_data); - ggml_metal_add_buffer(ctx_metal, "eval", ggml_get_mem_buffer(ctx_eval), ggml_get_mem_size(ctx_eval), max_size_eval); - - // main - { - struct ggml_tensor * input = ggml_graph_get_tensor(&gf, "embd"); - *(int32_t *) input->data = 1; // BOS - - ggml_metal_set_tensor(ctx_metal, input); - - // warmup - ggml_metal_graph_compute(ctx_metal, &gf); - - const int n_iter = 16; - - const int64_t t0 = ggml_time_us(); - - // the actual inference happens here - for (int i = 0; i < n_iter; ++i) { - ggml_metal_graph_compute(ctx_metal, &gf); - } - - const int64_t t1 = ggml_time_us(); - - printf("time: %.2f ms, %.2f ms/tok\n", (t1 - t0) / 1000.0, (t1 - t0) / 1000.0 / n_iter); - } - - // debug output - { - struct ggml_tensor * logits = gf.nodes[gf.n_nodes - 1]; - ggml_metal_get_tensor(ctx_metal, logits); - - float * ptr = (float *) ggml_get_data(logits); - - printf("logits: "); - for (int i = 0; i < 10; i++) { - printf("%8.4f ", ptr[i]); - } - printf("\n"); - int imax = 0; - double sum = 0.0; - double vmax = -1e9; - for (int i = 0; i < 32000; i++) { - sum += (double) ptr[i]; - if (ptr[i] > vmax) { - vmax = ptr[i]; - imax = i; - } - } - printf("sum: %f, imax = %d, vmax = %f\n", sum, imax, vmax); - } - - ggml_metal_free(ctx_metal); - - ggml_free(ctx_data); - ggml_free(ctx_eval); - - return 0; -} - diff --git a/llama.cpp/examples/perplexity/CMakeLists.txt b/llama.cpp/examples/perplexity/CMakeLists.txt deleted file mode 100644 index af00b4e..0000000 --- a/llama.cpp/examples/perplexity/CMakeLists.txt +++ /dev/null @@ -1,8 +0,0 @@ -set(TARGET perplexity) -add_executable(${TARGET} perplexity.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/perplexity/README.md b/llama.cpp/examples/perplexity/README.md deleted file mode 100644 index eacfb17..0000000 --- a/llama.cpp/examples/perplexity/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# perplexity - -TODO diff --git a/llama.cpp/examples/perplexity/perplexity.cpp b/llama.cpp/examples/perplexity/perplexity.cpp deleted file mode 100644 index 6870a11..0000000 --- a/llama.cpp/examples/perplexity/perplexity.cpp +++ /dev/null @@ -1,357 +0,0 @@ -#include "common.h" -#include "llama.h" -#include "build-info.h" - -#include -#include -#include - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -std::vector softmax(const std::vector& logits) { - std::vector probs(logits.size()); - float max_logit = logits[0]; - for (float v : logits) max_logit = std::max(max_logit, v); - double sum_exp = 0.0; - for (size_t i = 0; i < logits.size(); i++) { - // Subtract the maximum logit value from the current logit value for numerical stability - const float logit = logits[i] - max_logit; - const float exp_logit = expf(logit); - sum_exp += exp_logit; - probs[i] = exp_logit; - } - for (size_t i = 0; i < probs.size(); i++) probs[i] /= sum_exp; - return probs; -} - -void perplexity(llama_context * ctx, const gpt_params & params) { - // Download: https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip?ref=salesforce-research - // Run `./perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw` - // Output: `perplexity: 13.5106 [114/114]` - // BOS tokens will be added for each chunk before eval - auto tokens = ::llama_tokenize(ctx, params.prompt, true); - - const int n_chunk_max = tokens.size() / params.n_ctx; - - const int n_chunk = params.n_chunks < 0 ? n_chunk_max : std::min(params.n_chunks, n_chunk_max); - const int n_vocab = llama_n_vocab(ctx); - const int n_batch = params.n_batch; - - int count = 0; - double nll = 0.0; - - fprintf(stderr, "%s: calculating perplexity over %d chunks, batch_size=%d\n", __func__, n_chunk, n_batch); - - for (int i = 0; i < n_chunk; ++i) { - const int start = i * params.n_ctx; - const int end = start + params.n_ctx; - - const int num_batches = (params.n_ctx + n_batch - 1) / n_batch; - - std::vector logits; - - const auto t_start = std::chrono::high_resolution_clock::now(); - - for (int j = 0; j < num_batches; ++j) { - const int batch_start = start + j * n_batch; - const int batch_size = std::min(end - batch_start, n_batch); - - // save original token and restore it after eval - const auto token_org = tokens[batch_start]; - - // add BOS token for the first batch of each chunk - if (j == 0) { - tokens[batch_start] = llama_token_bos(); - } - - if (llama_eval(ctx, tokens.data() + batch_start, batch_size, j * n_batch, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return; - } - - // restore the original token in case it was set to BOS - tokens[batch_start] = token_org; - - const auto batch_logits = llama_get_logits(ctx); - logits.insert(logits.end(), batch_logits, batch_logits + batch_size * n_vocab); - } - - const auto t_end = std::chrono::high_resolution_clock::now(); - - if (i == 0) { - const float t_total = std::chrono::duration(t_end - t_start).count(); - fprintf(stderr, "%s: %.2f seconds per pass - ETA ", __func__, t_total); - int total_seconds = (int)(t_total * n_chunk); - if (total_seconds >= 60*60) { - fprintf(stderr, "%d hours ", total_seconds / (60*60)); - total_seconds = total_seconds % (60*60); - } - fprintf(stderr, "%d minutes\n", total_seconds / 60); - } - - // We get the logits for all the tokens in the context window (params.n_ctx) - // from llama_eval above. Now, based on https://huggingface.co/docs/transformers/perplexity, - // calculate the perplexity over the last half of the window (so the model always has - // some context to predict the token). - // - // We rely on the fact that attention in the forward pass only looks at previous - // tokens here, so the logits returned for each token are an accurate representation - // of what the model would have predicted at that point. - // - // Example, we have a context window of 512, we will compute perplexity for each of the - // last 256 tokens. Then, we split the input up into context window size chunks to - // process the entire prompt. - for (int j = std::min(512, params.n_ctx / 2); j < params.n_ctx - 1; ++j) { - // Calculate probability of next token, given the previous ones. - const std::vector tok_logits( - logits.begin() + (j + 0) * n_vocab, - logits.begin() + (j + 1) * n_vocab); - - const float prob = softmax(tok_logits)[tokens[start + j + 1]]; - - nll += -std::log(prob); - ++count; - } - // perplexity is e^(average negative log-likelihood) - printf("[%d]%.4lf,", i + 1, std::exp(nll / count)); - fflush(stdout); - } - printf("\n"); -} - -void hellaswag_score(llama_context * ctx, const gpt_params & params) { - // Calculates hellaswag score (acc_norm) from prompt - // - // Data extracted from the HellaSwag validation dataset (MIT license) https://github.com/rowanz/hellaswag/blob/master/data/hellaswag_val.jsonl - // All used data fields are preprocessed as in https://github.com/EleutherAI/lm-evaluation-harness/blob/df3da98c5405deafd519c2ddca52bb7c3fe36bef/lm_eval/tasks/hellaswag.py#L62-L68 - // - // All 10042 tasks should be extracted to keep the results standardized like other implementations. - // - // Datafile layout: - // ['??'] denotes json fields - // 6 lines per task: - // ['activity_label'] + ": " +['ctx'] - The first part of the query, the context - // ['label'] - The index the best common sense ending aka gold ending - // ['endings'][0] - Endings added to the first part of the query - // ['endings'][1] - // ['endings'][2] - // ['endings'][3] - - std::vector prompt_lines; - std::istringstream strstream(params.prompt); - std::string line; - - while (std::getline(strstream,line,'\n')) { - prompt_lines.push_back(line); - } - - if( prompt_lines.size() % 6 != 0) { - fprintf(stderr, "%s : number of lines in prompt not a multiple of 6.\n", __func__); - return; - } - - size_t hs_task_count = prompt_lines.size()/6; - fprintf(stderr, "%s : loaded %lu tasks from prompt.\n", __func__, hs_task_count); - - // This is needed as usual for LLaMA models - bool prepend_bos = true; - - // Number of tasks to use when computing the score - if ( params.hellaswag_tasks < hs_task_count ) { - hs_task_count = params.hellaswag_tasks; - } - - // The tasks should be randomized so the score stabilizes quickly. - bool randomize_tasks = true; - - // The random seed should not impact the final result if the computation is done over enough tasks, so kept hardcoded for now - std::mt19937 rng(1); - - // Dataholder for hellaswag tasks - struct hs_data_t { - std::string context; - size_t gold_ending_idx; - std::string ending[4]; - size_t ending_logprob_count[4]; - double ending_logprob[4]; - }; - - fprintf(stderr, "%s : selecting %lu %s tasks.\n", __func__, hs_task_count, (randomize_tasks?"randomized":"the first") ); - - // Select and read data from prompt lines - hs_data_t *hs_data = new hs_data_t[hs_task_count]; - for (size_t i=0; i < hs_task_count; i++) { - size_t idx = i; - - // Select a random example of those left in the prompt - if (randomize_tasks) { - std::uniform_int_distribution dist(0, prompt_lines.size()/6-1 ) ; - idx = dist(rng); - } - - hs_data[i].context = prompt_lines[idx*6]; - hs_data[i].gold_ending_idx = std::stoi( prompt_lines[idx*6+1] ); - for (size_t j=0; j < 4; j++) { - hs_data[i].ending[j] = " " + prompt_lines[idx*6+2+j]; - } - - // Delete the selected random example from the prompt - if (randomize_tasks) { - prompt_lines.erase( std::next(prompt_lines.begin(),idx*6) , std::next(prompt_lines.begin(),idx*6+6) ); - } - } - - fprintf(stderr, "%s : calculating hellaswag score over selected tasks.\n", __func__); - printf("\ntask\tacc_norm\n"); - - double acc = 0.0f; - const int n_vocab = llama_n_vocab(ctx); - - for (size_t task_idx = 0; task_idx < hs_task_count; task_idx++) { - - // Tokenize the context to count tokens - std::vector context_embd = ::llama_tokenize(ctx, hs_data[task_idx].context, prepend_bos); - size_t context_size = context_embd.size(); - - for (size_t ending_idx=0;ending_idx<4;ending_idx++) { - - // Tokenize the query - std::vector query_embd = ::llama_tokenize(ctx, hs_data[task_idx].context + hs_data[task_idx].ending[ending_idx], prepend_bos); - size_t query_size = query_embd.size(); - - // Stop if query wont fit the ctx window - if (query_size > (size_t)params.n_ctx) { - fprintf(stderr, "%s : number of tokens in query %lu > n_ctxl\n", __func__, query_size); - return; - } - - // Speedup small evaluations by evaluating atleast 32 tokens - if (query_size < 32) { - query_embd.resize(32); - } - - // Evaluate the query - if (llama_eval(ctx, query_embd.data(), query_embd.size(), 0, params.n_threads)) { - fprintf(stderr, "%s : failed to eval\n", __func__); - return; - } - - const auto query_logits = llama_get_logits(ctx); - std::vector logits; - logits.insert(logits.end(), query_logits, query_logits + query_size * n_vocab); - - hs_data[task_idx].ending_logprob_count[ending_idx] = 0; - hs_data[task_idx].ending_logprob[ending_idx] = 0.0f; - - // Calculate the logprobs over the ending - for (size_t j = context_size-1; j < query_size - 1; j++) { - // Calculate probability of next token, given the previous ones. - const std::vector tok_logits( - logits.begin() + (j + 0) * n_vocab, - logits.begin() + (j + 1) * n_vocab); - - const float prob = softmax(tok_logits)[query_embd[ j + 1]]; - - hs_data[task_idx].ending_logprob[ending_idx] += std::log(prob); - hs_data[task_idx].ending_logprob_count[ending_idx]++; - } - - // Calculate the mean token logprob for acc_norm - hs_data[task_idx].ending_logprob[ending_idx] /= hs_data[task_idx].ending_logprob_count[ending_idx]; - - -// printf("task %lu, ending %lu, whole_len %lu, context_len %lu, ending_logprob_count %lu, ending_logprob %.4f\n", -// task_idx,ending_idx,whole_size,context_size, hs_data[task_idx].ending_logprob_count[ending_idx], hs_data[task_idx].ending_logprob[ending_idx] ); - } - - // Find the ending with maximum logprob - size_t ending_logprob_max_idx = -1; - double ending_logprob_max_val = -INFINITY; - for (size_t j=0; j < 4; j++) { - if (hs_data[task_idx].ending_logprob[j] > ending_logprob_max_val) { - ending_logprob_max_idx = j; - ending_logprob_max_val = hs_data[task_idx].ending_logprob[j]; - } - } - -// printf("max logprob ending idx %lu, gold ending idx %lu\n", ending_logprob_max_idx, hs_data[task_idx].gold_ending_idx); - - // If the gold ending got the maximum logprobe add one accuracy point - if (ending_logprob_max_idx == hs_data[task_idx].gold_ending_idx) { - acc += 1.0; - } - - // Print the accumulated accuracy mean x 100 - printf("%li\t%.8lf\n",task_idx+1, acc/double(task_idx+1)*100.0); - fflush(stdout); - } - - delete [] hs_data; - - printf("\n"); -} - -int main(int argc, char ** argv) { - gpt_params params; - - params.n_batch = 512; - if (gpt_params_parse(argc, argv, params) == false) { - return 1; - } - - params.perplexity = true; - params.n_batch = std::min(params.n_batch, params.n_ctx); - - if (params.n_ctx > 2048) { - fprintf(stderr, "%s: warning: model might not support context sizes greater than 2048 tokens (%d specified);" - "expect poor results\n", __func__, params.n_ctx); - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - if (params.seed == LLAMA_DEFAULT_SEED) { - params.seed = time(NULL); - } - - fprintf(stderr, "%s: seed = %u\n", __func__, params.seed); - - std::mt19937 rng(params.seed); - if (params.random_prompt) { - params.prompt = gpt_random_prompt(rng); - } - - llama_backend_init(params.numa); - - llama_model * model; - llama_context * ctx; - - // load the model and apply lora adapter, if any - std::tie(model, ctx) = llama_init_from_gpt_params(params); - if (model == NULL) { - fprintf(stderr, "%s: error: unable to load model\n", __func__); - return 1; - } - - // print system information - { - fprintf(stderr, "\n"); - fprintf(stderr, "system_info: n_threads = %d / %d | %s\n", - params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info()); - } - - if (params.hellaswag) { - hellaswag_score(ctx, params); - } else { - perplexity(ctx, params); - } - - llama_print_timings(ctx); - llama_free(ctx); - llama_free_model(model); - - llama_backend_free(); - - return 0; -} diff --git a/llama.cpp/examples/quantize-stats/CMakeLists.txt b/llama.cpp/examples/quantize-stats/CMakeLists.txt deleted file mode 100644 index c5c3940..0000000 --- a/llama.cpp/examples/quantize-stats/CMakeLists.txt +++ /dev/null @@ -1,5 +0,0 @@ -set(TARGET quantize-stats) -add_executable(${TARGET} quantize-stats.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) diff --git a/llama.cpp/examples/quantize-stats/quantize-stats.cpp b/llama.cpp/examples/quantize-stats/quantize-stats.cpp deleted file mode 100644 index 6aa06ec..0000000 --- a/llama.cpp/examples/quantize-stats/quantize-stats.cpp +++ /dev/null @@ -1,438 +0,0 @@ -#include "ggml.h" -#include "build-info.h" - -#define LLAMA_API_INTERNAL -#include "llama.h" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#if defined(_MSC_VER) -#pragma warning(disable: 4244 4267) // possible loss of data -#endif - -struct quantize_stats_params { - std::string model = "models/7B/ggml-model-f16.bin"; - bool verbose = false; - bool per_layer_stats = false; - bool print_histogram = false; - bool reference = false; - std::vector include_layers; - std::vector exclude_layers; - std::vector include_types; -}; - -const size_t HISTOGRAM_BUCKETS = 150; -const double HISTOGRAM_RANGE = 0.03; - -struct error_stats { - size_t num_samples; - double total_error; - double max_error; - uint64_t error_histogram[HISTOGRAM_BUCKETS]; -}; - - -void quantize_stats_print_usage(int /*argc*/, char ** argv) { - quantize_stats_params params; - fprintf(stderr, "usage: %s [options]\n", argv[0]); - fprintf(stderr, "\n"); - fprintf(stderr, "options:\n"); - fprintf(stderr, " -h, --help show this help message and exit\n"); - fprintf(stderr, " -m FNAME, --model FNAME\n"); - fprintf(stderr, " model path (default: %s)\n", params.model.c_str()); - fprintf(stderr, " -r, --reference\n"); - fprintf(stderr, " use reference implementation (default: false)\n"); - fprintf(stderr, " -v, --verbose\n"); - fprintf(stderr, " verbose output (default: false)\n"); - fprintf(stderr, " -p, --per-layer-stats\n"); - fprintf(stderr, " print stats per layer (default: false)\n"); - fprintf(stderr, " --histogram\n"); - fprintf(stderr, " print error histogram (default: false)\n"); - fprintf(stderr, " -l LAYER, --include-layer LAYER\n"); - fprintf(stderr, " only test layers matching pattern\n"); - fprintf(stderr, " -L LAYER, --exclude-layer LAYER\n"); - fprintf(stderr, " exclude layers matching pattern\n"); - fprintf(stderr, " -t TYPE, --type TYPE\n"); - fprintf(stderr, " only test given type (q4_0, q4_1)\n"); - fprintf(stderr, "\n"); -} - -// Check if a layer is included/excluded by command line -bool layer_included(const quantize_stats_params params, const std::string & layer) { - for (const auto& excluded : params.exclude_layers) { - if (std::regex_search(layer, std::regex(excluded))) { - return false; - } - } - for (const auto& included : params.include_layers) { - if (std::regex_search(layer, std::regex(included))) { - return true; - } - } - return params.include_layers.empty(); -} - -// Update error statistics given vectors with the before/after result of quantization -void update_error_stats(int64_t nelements, const float * input, const float * output, error_stats & stats) { - for (int64_t i = 0; i < nelements; i++) { - double diff = input[i] - output[i]; - stats.total_error += diff * diff; - stats.max_error = fmax(fabs(diff), stats.max_error); - stats.error_histogram[std::max(std::min((size_t) floor(fabs(diff) / HISTOGRAM_RANGE * HISTOGRAM_BUCKETS), HISTOGRAM_BUCKETS-1), (size_t) 0)]++; - } - stats.num_samples += nelements; -} - -void combine_error_stats(error_stats & into, const error_stats & from) { - into.num_samples += from.num_samples; - into.total_error += from.total_error; - if (from.max_error > into.max_error) into.max_error = from.max_error; - for (size_t i=0; i= sum*quantile) { - return (i+1) * HISTOGRAM_RANGE / HISTOGRAM_BUCKETS; - } - } - return INFINITY; -} - -void print_error_stats(const std::string & name, const error_stats & stats, bool print_histogram) { - double rmse = sqrt(stats.total_error / (double) stats.num_samples); - double median = find_quantile(stats, .5); - double pct95 = find_quantile(stats, .95); - printf("%-50s: rmse %.8f, maxerr %.8f, 95pct<%.4f, median<%.4f\n", name.c_str(), rmse, stats.max_error, pct95, median); - if (print_histogram) { - printf("Error distribution:\n"); - for (size_t i = 0; i < HISTOGRAM_BUCKETS; i++) { - double lower = i * HISTOGRAM_RANGE / HISTOGRAM_BUCKETS; - double upper = (i+1) * HISTOGRAM_RANGE / HISTOGRAM_BUCKETS; - if (i == HISTOGRAM_BUCKETS -1) upper = INFINITY; - printf("[%3.4f, %3.4f): %11" PRIu64 "\n", lower, upper, stats.error_histogram[i]); - } - } -} - -// copied from ggml.h - verify that we can access this as a flat array -static bool tensor_is_contiguous(const struct ggml_tensor * tensor) { - static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function"); - - return - tensor->nb[0] == ggml_type_size(tensor->type) && - tensor->nb[1] == (tensor->nb[0]*tensor->ne[0])/ggml_blck_size(tensor->type) && - tensor->nb[2] == tensor->nb[1]*tensor->ne[1] && - tensor->nb[3] == tensor->nb[2]*tensor->ne[2]; -} - -void test_roundtrip_on_chunk( - const ggml_tensor * layer, - int64_t offset, - int64_t chunk_size, - const ggml_type_traits_t & qfns, - bool use_reference, - float * input_scratch, - char * quantized_scratch, - float * output_scratch, - error_stats & stats) { - - if (layer->type == GGML_TYPE_F16) { - for (int i = 0; i < chunk_size; i++) { - input_scratch[i] = ggml_get_f32_1d(layer, i + offset); - } - } else { - input_scratch = ggml_get_data_f32(layer) + offset; - } - - if (use_reference) { - qfns.from_float_reference(input_scratch, quantized_scratch, chunk_size); - } else { - qfns.from_float(input_scratch, quantized_scratch, chunk_size); - } - qfns.to_float(quantized_scratch, output_scratch, chunk_size); - - update_error_stats(chunk_size, input_scratch, output_scratch, stats); -} - - -// Run quantization function for a single layer and update error stats -void test_roundtrip_on_layer( - std::string & name, - bool print_layer_stats, - const ggml_type_traits_t & qfns, - bool use_reference, - const ggml_tensor * layer, - std::vector & input_scratch, - std::vector & quantized_scratch, - std::vector & output_scratch, - error_stats & total_error, - int max_thread = 0) { - - assert(tensor_is_contiguous(layer)); - error_stats layer_error {}; - uint64_t nelements = ggml_nelements(layer); - - float* input_scratch_ptr = nullptr; - if (layer->type == GGML_TYPE_F16) { - if (input_scratch.size() < nelements) input_scratch.resize(nelements); - input_scratch_ptr = input_scratch.data(); - } - if (quantized_scratch.size() < 4*nelements) quantized_scratch.resize(4*nelements); - if (output_scratch.size() < nelements) output_scratch.resize(nelements); - - if (max_thread < 1) max_thread = std::thread::hardware_concurrency(); - int chunk_size = 32*512; - int num_chunks = (nelements + chunk_size - 1)/chunk_size; - - if (num_chunks < 2 || max_thread < 2) { - test_roundtrip_on_chunk(layer, 0, nelements, qfns, use_reference, input_scratch_ptr, quantized_scratch.data(), - output_scratch.data(), print_layer_stats ? layer_error : total_error); - } else { - auto & stats = print_layer_stats ? layer_error : total_error; - std::mutex mutex; - uint64_t counter = 0; - auto compute = [&mutex, &counter, &stats, &qfns, nelements, layer, use_reference, input_scratch_ptr, - &quantized_scratch, &output_scratch, chunk_size] () { - error_stats local_stats {}; - while (true) { - std::unique_lock lock(mutex); - uint64_t offset = counter; counter += chunk_size; - if (offset >= nelements) { - combine_error_stats(stats, local_stats); - break; - } - lock.unlock(); - uint64_t chunk = offset + chunk_size < nelements ? chunk_size : nelements - offset; - test_roundtrip_on_chunk(layer, offset, chunk, qfns, use_reference, input_scratch_ptr + offset, - quantized_scratch.data() + 4*offset, output_scratch.data() + offset, local_stats); - } - }; - int nthread = std::min(num_chunks, max_thread); - std::vector workers(nthread-1); - for (auto& w : workers) w = std::thread(compute); - compute(); - for (auto& w : workers) w.join(); - } - - if (print_layer_stats) { - print_error_stats(name, layer_error, false); - combine_error_stats(total_error, layer_error); - } -} - -int main(int argc, char ** argv) { - ggml_time_init(); - - quantize_stats_params params; - - // read command line - - int max_thread = 0; - bool invalid_param = false; - std::string arg; - for (int i = 1; i < argc; i++) { - arg = argv[i]; - - if (arg == "-h" || arg == "--help") { - quantize_stats_print_usage(argc, argv); - exit(0); - } else if (arg == "-r" || arg == "--reference") { - params.reference = true; - } else if (arg == "-v") { - params.verbose = true; - } else if (arg == "-p" || arg == "--per-layer-stats") { - params.per_layer_stats = true; - } else if (arg == "--histogram") { - params.print_histogram = true; - } else if (arg == "-m" || arg == "--model") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.model = argv[i]; - } else if (arg == "-l" || arg == "--include-layer") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.include_layers.push_back(argv[i]); - } else if (arg == "-L" || arg == "--exclude-layer") { - if (++i >= argc) { - invalid_param = true; - break; - } - params.exclude_layers.push_back(argv[i]); - } else if (arg == "-t" || arg == "--type") { - if (++i >= argc) { - invalid_param = true; - break; - } - int j; - for (j = 0; j < GGML_TYPE_COUNT; ++j) { - const auto * name = ggml_type_name((ggml_type) j); - if (name && strcmp(argv[i], name) == 0) break; - } - if (j < GGML_TYPE_COUNT) { - params.include_types.push_back((ggml_type) j); - } else { - fprintf(stderr, "error: %s not in list of types\n", argv[i]); - invalid_param = true; - } - } else if (arg == "-n" || arg == "--num-threads") { - if (++i >= argc) { - invalid_param = true; - break; - } - max_thread = atoi(argv[i]); - } else { - fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); - quantize_stats_print_usage(argc, argv); - return 1; - } - } - if (invalid_param) { - fprintf(stderr, "error: invalid parameter for argument: %s\n", arg.c_str()); - quantize_stats_print_usage(argc, argv); - return 1; - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - // load the model - fprintf(stderr, "Loading model\n"); - - const int64_t t_main_start_us = ggml_time_us(); - llama_model * model; - llama_context * ctx; - - { - auto lparams = llama_context_default_params(); - - lparams.n_ctx = 256; - lparams.seed = 1; - lparams.f16_kv = false; - lparams.use_mlock = false; - - model = llama_load_model_from_file(params.model.c_str(), lparams); - - if (model == NULL) { - fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str()); - return 1; - } - - ctx = llama_new_context_with_model(model, lparams); - - if (ctx == NULL) { - fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, params.model.c_str()); - llama_free_model(model); - return 1; - } - } - - const auto &tensors = llama_internal_get_tensor_map(ctx); - - // check layer tensors - int included_layers = 0; - int64_t max_nelements = 0; - bool is_f16 = false; - for (const auto& kv_tensor : tensors) { - if (!layer_included(params, kv_tensor.first)) { - continue; - } - if (params.verbose) { - printf("%s: type %s, size %" PRId64 "\n", kv_tensor.first.c_str(), ggml_type_name(kv_tensor.second->type), ggml_nelements(kv_tensor.second)); - } - if (kv_tensor.second->type == GGML_TYPE_F16) { - is_f16 = true; - } else if (kv_tensor.second->type != GGML_TYPE_F32) { - fprintf(stderr, "%s: error: Quantization should be tested with a float model, " - "this model contains already quantized layers (%s is type %d)\n", __func__, kv_tensor.first.c_str(), kv_tensor.second->type); - llama_free(ctx); - llama_free_model(model); - return 1; - } - included_layers++; - max_nelements = std::max(max_nelements, ggml_nelements(kv_tensor.second)); - } - - if (is_f16) { - printf("note: source model is f16\n"); - } - printf("testing %d layers with max size %" PRId64 "\n", included_layers, max_nelements); - // allocate scratch space - std::vector input_scratch; - std::vector quantized_scratch; - std::vector output_scratch; - - // loop throught quantization types - for (int i = 0; i < GGML_TYPE_COUNT; i++) { - const ggml_type type = (ggml_type) i; - if (!params.include_types.empty() && std::find(params.include_types.begin(), params.include_types.end(), i) == params.include_types.end()) { - continue; - } - ggml_type_traits_t qfns = ggml_internal_get_type_traits(type); - if (qfns.from_float && qfns.to_float) { - if (params.verbose) { - printf("testing %s ...\n", ggml_type_name(type)); - } - - error_stats global_stats {}; - - for (const auto& kv_tensor : tensors) { - if (!layer_included(params, kv_tensor.first)) { - continue; - } - if (params.verbose) { - printf(" %s ...\n", kv_tensor.first.c_str()); - } - std::string layer_name { ggml_type_name(type) }; - layer_name += "::" + kv_tensor.first; - test_roundtrip_on_layer( - layer_name, - params.per_layer_stats, - qfns, - params.reference, - kv_tensor.second, - input_scratch, - quantized_scratch, - output_scratch, - global_stats, - max_thread - ); - } - - print_error_stats(ggml_type_name(type), global_stats, params.print_histogram); - } - } - - - llama_free(ctx); - llama_free_model(model); - // report timing - { - const int64_t t_main_end_us = ggml_time_us(); - - printf("\n"); - printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0); - } - - return 0; -} diff --git a/llama.cpp/examples/quantize/CMakeLists.txt b/llama.cpp/examples/quantize/CMakeLists.txt deleted file mode 100644 index 47d0be7..0000000 --- a/llama.cpp/examples/quantize/CMakeLists.txt +++ /dev/null @@ -1,8 +0,0 @@ -set(TARGET quantize) -add_executable(${TARGET} quantize.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/quantize/README.md b/llama.cpp/examples/quantize/README.md deleted file mode 100644 index f349e91..0000000 --- a/llama.cpp/examples/quantize/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# quantize - -TODO diff --git a/llama.cpp/examples/quantize/quantize.cpp b/llama.cpp/examples/quantize/quantize.cpp deleted file mode 100644 index 744f549..0000000 --- a/llama.cpp/examples/quantize/quantize.cpp +++ /dev/null @@ -1,187 +0,0 @@ -#include "build-info.h" - -#include "llama.h" - -#include -#include -#include -#include - -struct quant_option { - std::string name; - llama_ftype ftype; - std::string desc; -}; - -static const std::vector QUANT_OPTIONS = { - { "Q4_0", LLAMA_FTYPE_MOSTLY_Q4_0, " 3.50G, +0.2499 ppl @ 7B", }, - { "Q4_1", LLAMA_FTYPE_MOSTLY_Q4_1, " 3.90G, +0.1846 ppl @ 7B", }, - { "Q5_0", LLAMA_FTYPE_MOSTLY_Q5_0, " 4.30G, +0.0796 ppl @ 7B", }, - { "Q5_1", LLAMA_FTYPE_MOSTLY_Q5_1, " 4.70G, +0.0415 ppl @ 7B", }, -#ifdef GGML_USE_K_QUANTS - { "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.67G, +0.8698 ppl @ 7B", }, - { "Q3_K", LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" }, - { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 2.75G, +0.5505 ppl @ 7B", }, - { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.06G, +0.2437 ppl @ 7B", }, - { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 3.35G, +0.1803 ppl @ 7B", }, - { "Q4_K", LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M", }, - { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 3.56G, +0.1149 ppl @ 7B", }, - { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 3.80G, +0.0535 ppl @ 7B", }, - { "Q5_K", LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M", }, - { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 4.33G, +0.0353 ppl @ 7B", }, - { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 4.45G, +0.0142 ppl @ 7B", }, - { "Q6_K", LLAMA_FTYPE_MOSTLY_Q6_K, " 5.15G, +0.0044 ppl @ 7B", }, -#endif - { "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 6.70G, +0.0004 ppl @ 7B", }, - { "F16", LLAMA_FTYPE_MOSTLY_F16, "13.00G @ 7B", }, - { "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", }, -}; - - -bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftype, std::string & ftype_str_out) { - std::string ftype_str; - - for (auto ch : ftype_str_in) { - ftype_str.push_back(std::toupper(ch)); - } - for (auto & it : QUANT_OPTIONS) { - if (it.name == ftype_str) { - ftype = it.ftype; - ftype_str_out = it.name; - return true; - } - } - try { - int ftype_int = std::stoi(ftype_str); - for (auto & it : QUANT_OPTIONS) { - if (it.ftype == ftype_int) { - ftype = it.ftype; - ftype_str_out = it.name; - return true; - } - } - } - catch (...) { - // stoi failed - } - return false; -} - -// usage: -// ./quantize [--allow-requantize] [--leave-output-tensor] models/llama/ggml-model.bin [models/llama/ggml-model-quant.bin] type [nthreads] -// -void usage(const char * executable) { - fprintf(stderr, "usage: %s [--help] [--allow-requantize] [--leave-output-tensor] model-f32.bin [model-quant.bin] type [nthreads]\n\n", executable); - fprintf(stderr, " --allow-requantize: Allows requantizing tensors that have already been quantized. Warning: This can severely reduce quality compared to quantizing from 16bit or 32bit\n"); - fprintf(stderr, " --leave-output-tensor: Will leave output.weight un(re)quantized. Increases model size but may also increase quality, especially when requantizing\n"); - fprintf(stderr, "\nAllowed quantization types:\n"); - for (auto & it : QUANT_OPTIONS) { - printf(" %2d or %-6s : %s\n", it.ftype, it.name.c_str(), it.desc.c_str()); - } - exit(1); -} - -int main(int argc, char ** argv) { - if (argc < 3) { - usage(argv[0]); - } - - llama_model_quantize_params params = llama_model_quantize_default_params(); - - int arg_idx = 1; - - for (; arg_idx < argc && strncmp(argv[arg_idx], "--", 2) == 0; arg_idx++) { - if (strcmp(argv[arg_idx], "--leave-output-tensor") == 0) { - params.quantize_output_tensor = false; - } else if (strcmp(argv[arg_idx], "--allow-requantize") == 0) { - params.allow_requantize = true; - } else { - usage(argv[0]); - } - } - - if (argc - arg_idx < 3) { - usage(argv[0]); - } - - llama_backend_init(false); - - // parse command line arguments - const std::string fname_inp = argv[arg_idx]; - arg_idx++; - std::string fname_out; - - std::string ftype_str; - if (try_parse_ftype(argv[arg_idx], params.ftype, ftype_str)) { - std::string fpath; - const size_t pos = fname_inp.find_last_of('/'); - if (pos != std::string::npos) { - fpath = fname_inp.substr(0, pos + 1); - } - // export as [inp path]/ggml-model-[ftype].bin - fname_out = fpath + "ggml-model-" + ftype_str + ".bin"; - arg_idx++; - } - else { - fname_out = argv[arg_idx]; - arg_idx++; - - if (argc <= arg_idx) { - fprintf(stderr, "%s: missing ftype\n", __func__); - return 1; - } - if (!try_parse_ftype(argv[arg_idx], params.ftype, ftype_str)) { - fprintf(stderr, "%s: invalid ftype '%s'\n", __func__, argv[3]); - return 1; - } - arg_idx++; - } - - // parse nthreads - if (argc > arg_idx) { - try { - params.nthread = std::stoi(argv[arg_idx]); - } - catch (const std::exception & e) { - fprintf(stderr, "%s: invalid nthread '%s' (%s)\n", __func__, argv[arg_idx], e.what()); - return 1; - } - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - fprintf(stderr, "%s: quantizing '%s' to '%s' as %s", __func__, fname_inp.c_str(), fname_out.c_str(), ftype_str.c_str()); - if (params.nthread > 0) { - fprintf(stderr, " using %d threads", params.nthread); - } - fprintf(stderr, "\n"); - - const int64_t t_main_start_us = llama_time_us(); - - int64_t t_quantize_us = 0; - - // load the model - { - const int64_t t_start_us = llama_time_us(); - - if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), ¶ms)) { - fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str()); - return 1; - } - - t_quantize_us = llama_time_us() - t_start_us; - } - - // report timing - { - const int64_t t_main_end_us = llama_time_us(); - - printf("\n"); - printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us/1000.0); - printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0); - } - - llama_backend_free(); - - return 0; -} diff --git a/llama.cpp/examples/reason-act.sh b/llama.cpp/examples/reason-act.sh deleted file mode 100755 index e7fe655..0000000 --- a/llama.cpp/examples/reason-act.sh +++ /dev/null @@ -1,17 +0,0 @@ - -#!/bin/bash - -cd `dirname $0` -cd .. - -# get -m model parameter otherwise defer to default -if [ "$1" == "-m" ]; then - MODEL="-m $2 " -fi - -./main $MODEL --color \ - -f ./prompts/reason-act.txt \ - -i --interactive-first \ - --top_k 10000 --temp 0.2 --repeat_penalty 1 -t 7 -c 2048 \ - -r "Question:" -r "Observation:" --in-prefix " " \ - -n -1 diff --git a/llama.cpp/examples/save-load-state/CMakeLists.txt b/llama.cpp/examples/save-load-state/CMakeLists.txt deleted file mode 100644 index eadd13c..0000000 --- a/llama.cpp/examples/save-load-state/CMakeLists.txt +++ /dev/null @@ -1,8 +0,0 @@ -set(TARGET save-load-state) -add_executable(${TARGET} save-load-state.cpp) -install(TARGETS ${TARGET} RUNTIME) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/save-load-state/save-load-state.cpp b/llama.cpp/examples/save-load-state/save-load-state.cpp deleted file mode 100644 index 61c71c3..0000000 --- a/llama.cpp/examples/save-load-state/save-load-state.cpp +++ /dev/null @@ -1,171 +0,0 @@ -#include "common.h" -#include "llama.h" -#include "build-info.h" - -#include -#include -#include - -int main(int argc, char ** argv) { - gpt_params params; - params.seed = 42; - params.n_threads = 4; - params.repeat_last_n = 64; - params.prompt = "The quick brown fox"; - - if (gpt_params_parse(argc, argv, params) == false) { - return 1; - } - - fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT); - - if (params.n_predict < 0) { - params.n_predict = 16; - } - - auto lparams = llama_context_default_params(); - - lparams.n_ctx = params.n_ctx; - lparams.n_gqa = params.n_gqa; - lparams.seed = params.seed; - lparams.f16_kv = params.memory_f16; - lparams.use_mmap = params.use_mmap; - lparams.use_mlock = params.use_mlock; - - auto n_past = 0; - auto last_n_tokens_data = std::vector(params.repeat_last_n, 0); - - // init - auto model = llama_load_model_from_file(params.model.c_str(), lparams); - if (model == nullptr) { - return 1; - } - auto ctx = llama_new_context_with_model(model, lparams); - if (ctx == nullptr) { - llama_free_model(model); - return 1; - } - auto tokens = std::vector(params.n_ctx); - auto n_prompt_tokens = llama_tokenize(ctx, params.prompt.c_str(), tokens.data(), int(tokens.size()), true); - - if (n_prompt_tokens < 1) { - fprintf(stderr, "%s : failed to tokenize prompt\n", __func__); - llama_free(ctx); - llama_free_model(model); - return 1; - } - - // evaluate prompt - llama_eval(ctx, tokens.data(), n_prompt_tokens, n_past, params.n_threads); - - last_n_tokens_data.insert(last_n_tokens_data.end(), tokens.data(), tokens.data() + n_prompt_tokens); - n_past += n_prompt_tokens; - - const size_t state_size = llama_get_state_size(ctx); - uint8_t * state_mem = new uint8_t[state_size]; - - // Save state (rng, logits, embedding and kv_cache) to file - { - FILE *fp_write = fopen("dump_state.bin", "wb"); - llama_copy_state_data(ctx, state_mem); // could also copy directly to memory mapped file - fwrite(state_mem, 1, state_size, fp_write); - fclose(fp_write); - } - - // save state (last tokens) - const auto last_n_tokens_data_saved = std::vector(last_n_tokens_data); - const auto n_past_saved = n_past; - - // first run - printf("\n%s", params.prompt.c_str()); - - for (auto i = 0; i < params.n_predict; i++) { - auto logits = llama_get_logits(ctx); - auto n_vocab = llama_n_vocab(ctx); - std::vector candidates; - candidates.reserve(n_vocab); - for (llama_token token_id = 0; token_id < n_vocab; token_id++) { - candidates.emplace_back(llama_token_data{token_id, logits[token_id], 0.0f}); - } - llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false }; - auto next_token = llama_sample_token(ctx, &candidates_p); - auto next_token_str = llama_token_to_str(ctx, next_token); - last_n_tokens_data.push_back(next_token); - - printf("%s", next_token_str); - if (llama_eval(ctx, &next_token, 1, n_past, params.n_threads)) { - fprintf(stderr, "\n%s : failed to evaluate\n", __func__); - llama_free(ctx); - llama_free_model(model); - return 1; - } - n_past += 1; - } - - printf("\n\n"); - - // free old context - llama_free(ctx); - - // make new context - auto ctx2 = llama_new_context_with_model(model, lparams); - - // Load state (rng, logits, embedding and kv_cache) from file - { - FILE *fp_read = fopen("dump_state.bin", "rb"); - if (state_size != llama_get_state_size(ctx2)) { - fprintf(stderr, "\n%s : failed to validate state size\n", __func__); - llama_free(ctx2); - llama_free_model(model); - return 1; - } - - const size_t ret = fread(state_mem, 1, state_size, fp_read); - if (ret != state_size) { - fprintf(stderr, "\n%s : failed to read state\n", __func__); - llama_free(ctx2); - llama_free_model(model); - return 1; - } - - llama_set_state_data(ctx2, state_mem); // could also read directly from memory mapped file - fclose(fp_read); - } - - delete[] state_mem; - - // restore state (last tokens) - last_n_tokens_data = last_n_tokens_data_saved; - n_past = n_past_saved; - - // second run - for (auto i = 0; i < params.n_predict; i++) { - auto logits = llama_get_logits(ctx2); - auto n_vocab = llama_n_vocab(ctx2); - std::vector candidates; - candidates.reserve(n_vocab); - for (llama_token token_id = 0; token_id < n_vocab; token_id++) { - candidates.emplace_back(llama_token_data{token_id, logits[token_id], 0.0f}); - } - llama_token_data_array candidates_p = { candidates.data(), candidates.size(), false }; - auto next_token = llama_sample_token(ctx2, &candidates_p); - auto next_token_str = llama_token_to_str(ctx2, next_token); - last_n_tokens_data.push_back(next_token); - - printf("%s", next_token_str); - if (llama_eval(ctx2, &next_token, 1, n_past, params.n_threads)) { - fprintf(stderr, "\n%s : failed to evaluate\n", __func__); - llama_free(ctx2); - llama_free_model(model); - return 1; - } - n_past += 1; - } - - printf("\n\n"); - - llama_free(ctx2); - llama_free_model(model); - - return 0; -} diff --git a/llama.cpp/examples/server-llama2-13B.sh b/llama.cpp/examples/server-llama2-13B.sh deleted file mode 100644 index 17fedc2..0000000 --- a/llama.cpp/examples/server-llama2-13B.sh +++ /dev/null @@ -1,26 +0,0 @@ -#!/bin/bash - -set -e - -cd "$(dirname "$0")/.." || exit - -# Specify the model you want to use here: -MODEL="${MODEL:-./models/llama-2-13b-chat.ggmlv3.q5_K_M.bin}" -PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat-system.txt} - -# Adjust to the number of CPU cores you want to use. -N_THREAD="${N_THREAD:-12}" - -# Note: you can also override the generation options by specifying them on the command line: -GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 4096 --batch-size 1024}" - - -# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS -./server $GEN_OPTIONS \ - --model "$MODEL" \ - --threads "$N_THREAD" \ - --rope-freq-scale 1.0 \ - "$@" - -# I used this to test the model with mps, but omitted it from the general purpose. If you want to use it, just specify it on the command line. -# -ngl 1 \ diff --git a/llama.cpp/examples/server/CMakeLists.txt b/llama.cpp/examples/server/CMakeLists.txt deleted file mode 100644 index 3782f9b..0000000 --- a/llama.cpp/examples/server/CMakeLists.txt +++ /dev/null @@ -1,16 +0,0 @@ -set(TARGET server) -option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON) -include_directories(${CMAKE_CURRENT_SOURCE_DIR}) -add_executable(${TARGET} server.cpp json.hpp httplib.h) -install(TARGETS ${TARGET} RUNTIME) -target_compile_definitions(${TARGET} PRIVATE - SERVER_VERBOSE=$ -) -target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT}) -if (WIN32) - TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32) -endif() -target_compile_features(${TARGET} PRIVATE cxx_std_11) -if(TARGET BUILD_INFO) - add_dependencies(${TARGET} BUILD_INFO) -endif() diff --git a/llama.cpp/examples/server/README.md b/llama.cpp/examples/server/README.md deleted file mode 100644 index aee31ae..0000000 --- a/llama.cpp/examples/server/README.md +++ /dev/null @@ -1,237 +0,0 @@ -# llama.cpp/example/server - -This example demonstrates a simple HTTP API server and a simple web front end to interact with llama.cpp. - -Command line options: - -- `--threads N`, `-t N`: Set the number of threads to use during computation. -- `-m FNAME`, `--model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.bin`). -- `-m ALIAS`, `--alias ALIAS`: Set an alias for the model. The alias will be returned in API responses. -- `-c N`, `--ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference. The size may differ in other models, for example, baichuan models were build with a context of 4096. -- `-ngl N`, `--n-gpu-layers N`: When compiled with appropriate support (currently CLBlast or cuBLAS), this option allows offloading some layers to the GPU for computation. Generally results in increased performance. -- `-mg i, --main-gpu i`: When using multiple GPUs this option controls which GPU is used for small tensors for which the overhead of splitting the computation across all GPUs is not worthwhile. The GPU in question will use slightly more VRAM to store a scratch buffer for temporary results. By default GPU 0 is used. Requires cuBLAS. -- `-ts SPLIT, --tensor-split SPLIT`: When using multiple GPUs this option controls how large tensors should be split across all GPUs. `SPLIT` is a comma-separated list of non-negative values that assigns the proportion of data that each GPU should get in order. For example, "3,2" will assign 60% of the data to GPU 0 and 40% to GPU 1. By default the data is split in proportion to VRAM but this may not be optimal for performance. Requires cuBLAS. -- `-lv, --low-vram`: Do not allocate a VRAM scratch buffer for holding temporary results. Reduces VRAM usage at the cost of performance, particularly prompt processing speed. Requires cuBLAS. -- `-b N`, `--batch-size N`: Set the batch size for prompt processing. Default: `512`. -- `--memory-f32`: Use 32-bit floats instead of 16-bit floats for memory key+value. Not recommended. -- `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped. -- `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed. -- `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains. -- `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation. -- `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`. -- `--host`: Set the hostname or ip address to listen. Default `127.0.0.1`. -- `--port`: Set the port to listen. Default: `8080`. -- `--path`: path from which to serve static files (default examples/server/public) -- `--embedding`: Enable embedding extraction, Default: disabled. - -## Build - -server is build alongside everything else from the root of the project - -- Using `make`: - - ```bash - make - ``` - -- Using `CMake`: - - ```bash - cmake --build . --config Release - ``` - -## Quick Start - -To get started right away, run the following command, making sure to use the correct path for the model you have: - -### Unix-based systems (Linux, macOS, etc.): - -```bash -./server -m models/7B/ggml-model.bin -c 2048 -``` - -### Windows: - -```powershell -server.exe -m models\7B\ggml-model.bin -c 2048 -``` - -The above command will start a server that by default listens on `127.0.0.1:8080`. -You can consume the endpoints with Postman or NodeJS with axios library. You can visit the web front end at the same url. - -## Testing with CURL - -Using [curl](https://curl.se/). On Windows `curl.exe` should be available in the base OS. - -```sh -curl --request POST \ - --url http://localhost:8080/completion \ - --header "Content-Type: application/json" \ - --data '{"prompt": "Building a website can be done in 10 simple steps:","n_predict": 128}' -``` - -## Node JS Test - -You need to have [Node.js](https://nodejs.org/en) installed. - -```bash -mkdir llama-client -cd llama-client -npm init -npm install axios -``` - -Create a index.js file and put inside this: - -```javascript -const axios = require("axios"); - -const prompt = `Building a website can be done in 10 simple steps:`; - -async function Test() { - let result = await axios.post("http://127.0.0.1:8080/completion", { - prompt, - n_predict: 512, - }); - - // the response is received until completion finish - console.log(result.data.content); -} - -Test(); -``` - -And run it: - -```bash -node . -``` - -## API Endpoints - -- **POST** `/completion`: Given a prompt, it returns the predicted completion. - - *Options:* - - `temperature`: Adjust the randomness of the generated text (default: 0.8). - - `top_k`: Limit the next token selection to the K most probable tokens (default: 40). - - `top_p`: Limit the next token selection to a subset of tokens with a cumulative probability above a threshold P (default: 0.9). - - `n_predict`: Set the number of tokens to predict when generating text. **Note:** May exceed the set limit slightly if the last token is a partial multibyte character. When 0, no tokens will be generated but the prompt is evaluated into the cache. (default: 128, -1 = infinity). - - `n_keep`: Specify the number of tokens from the initial prompt to retain when the model resets its internal context. - By default, this value is set to 0 (meaning no tokens are kept). Use `-1` to retain all tokens from the initial prompt. - - `stream`: It allows receiving each predicted token in real-time instead of waiting for the completion to finish. To enable this, set to `true`. - - `prompt`: Provide a prompt. Internally, the prompt is compared, and it detects if a part has already been evaluated, and the remaining part will be evaluate. A space is inserted in the front like main.cpp does. - - `stop`: Specify a JSON array of stopping strings. - These words will not be included in the completion, so make sure to add them to the prompt for the next iteration (default: []). - - `tfs_z`: Enable tail free sampling with parameter z (default: 1.0, 1.0 = disabled). - - `typical_p`: Enable locally typical sampling with parameter p (default: 1.0, 1.0 = disabled). - - `repeat_penalty`: Control the repetition of token sequences in the generated text (default: 1.1). - - `repeat_last_n`: Last n tokens to consider for penalizing repetition (default: 64, 0 = disabled, -1 = ctx-size). - - `penalize_nl`: Penalize newline tokens when applying the repeat penalty (default: true). - - `presence_penalty`: Repeat alpha presence penalty (default: 0.0, 0.0 = disabled). - - `frequency_penalty`: Repeat alpha frequency penalty (default: 0.0, 0.0 = disabled); - - `mirostat`: Enable Mirostat sampling, controlling perplexity during text generation (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). - - `mirostat_tau`: Set the Mirostat target entropy, parameter tau (default: 5.0). - - `mirostat_eta`: Set the Mirostat learning rate, parameter eta (default: 0.1). - - `seed`: Set the random number generator (RNG) seed (default: -1, -1 = random seed). - - `ignore_eos`: Ignore end of stream token and continue generating (default: false). - - `logit_bias`: Modify the likelihood of a token appearing in the generated text completion. For example, use `"logit_bias": [[15043,1.0]]` to increase the likelihood of the token 'Hello', or `"logit_bias": [[15043,-1.0]]` to decrease its likelihood. Setting the value to false, `"logit_bias": [[15043,false]]` ensures that the token `Hello` is never produced (default: []). - -- **POST** `/tokenize`: Tokenize a given text. - - *Options:* - - `content`: Set the text to tokenize. - - Note that the special `BOS` token is not added in front of the text and also a space character is not inserted automatically as it is for `/completion`. - -- **POST** `/embedding`: Generate embedding of a given text just as [the embedding example](../embedding) does. - - *Options:* - - `content`: Set the text to process. - -## More examples - -### Interactive mode - -Check the sample in [chat.mjs](chat.mjs). -Run with NodeJS version 16 or later: - -```sh -node chat.mjs -``` - -Another sample in [chat.sh](chat.sh). -Requires [bash](https://www.gnu.org/software/bash/), [curl](https://curl.se) and [jq](https://jqlang.github.io/jq/). -Run with bash: - -```sh -bash chat.sh -``` - -### API like OAI - -API example using Python Flask: [api_like_OAI.py](api_like_OAI.py) -This example must be used with server.cpp - -```sh -python api_like_OAI.py -``` - -After running the API server, you can use it in Python by setting the API base URL. -```python -openai.api_base = "http://:port" -``` - -Then you can utilize llama.cpp as an OpenAI's **chat.completion** or **text_completion** API - -### Extending or building alternative Web Front End - -The default location for the static files is `examples/server/public`. You can extend the front end by running the server binary with `--path` set to `./your-directory` and importing `/completion.js` to get access to the llamaComplete() method. - -Read the documentation in `/completion.js` to see convenient ways to access llama. - -A simple example is below: - -```html - - - 
-      
-
- - -``` diff --git a/llama.cpp/examples/server/api_like_OAI.py b/llama.cpp/examples/server/api_like_OAI.py deleted file mode 100755 index aa325a0..0000000 --- a/llama.cpp/examples/server/api_like_OAI.py +++ /dev/null @@ -1,219 +0,0 @@ -import argparse -from flask import Flask, jsonify, request, Response -import urllib.parse -import requests -import time -import json - - -app = Flask(__name__) - -parser = argparse.ArgumentParser(description="An example of using server.cpp with a similar API to OAI. It must be used together with server.cpp.") -parser.add_argument("--chat-prompt", type=str, help="the top prompt in chat completions(default: 'A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what.\\n')", default='A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what.\\n') -parser.add_argument("--user-name", type=str, help="USER name in chat completions(default: '\\nUSER: ')", default="\\nUSER: ") -parser.add_argument("--ai-name", type=str, help="ASSISTANT name in chat completions(default: '\\nASSISTANT: ')", default="\\nASSISTANT: ") -parser.add_argument("--system-name", type=str, help="SYSTEM name in chat completions(default: '\\nASSISTANT's RULE: ')", default="\\nASSISTANT's RULE: ") -parser.add_argument("--stop", type=str, help="the end of response in chat completions(default: '')", default="") -parser.add_argument("--llama-api", type=str, help="Set the address of server.cpp in llama.cpp(default: http://127.0.0.1:8080)", default='http://127.0.0.1:8080') -parser.add_argument("--api-key", type=str, help="Set the api key to allow only few user(default: NULL)", default="") -parser.add_argument("--host", type=str, help="Set the ip address to listen.(default: 127.0.0.1)", default='127.0.0.1') -parser.add_argument("--port", type=int, help="Set the port to listen.(default: 8081)", default=8081) - -args = parser.parse_args() - -def is_present(json, key): - try: - buf = json[key] - except KeyError: - return False - return True - - - -#convert chat to prompt -def convert_chat(messages): - prompt = "" + args.chat_prompt.replace("\\n", "\n") - - system_n = args.system_name.replace("\\n", "\n") - user_n = args.user_name.replace("\\n", "\n") - ai_n = args.ai_name.replace("\\n", "\n") - stop = args.stop.replace("\\n", "\n") - - - for line in messages: - if (line["role"] == "system"): - prompt += f"{system_n}{line['content']}" - if (line["role"] == "user"): - prompt += f"{user_n}{line['content']}" - if (line["role"] == "assistant"): - prompt += f"{ai_n}{line['content']}{stop}" - prompt += ai_n.rstrip() - - return prompt - -def make_postData(body, chat=False, stream=False): - postData = {} - if (chat): - postData["prompt"] = convert_chat(body["messages"]) - else: - postData["prompt"] = body["prompt"] - if(is_present(body, "temperature")): postData["temperature"] = body["temperature"] - if(is_present(body, "top_k")): postData["top_k"] = body["top_k"] - if(is_present(body, "top_p")): postData["top_p"] = body["top_p"] - if(is_present(body, "max_tokens")): postData["n_predict"] = body["max_tokens"] - if(is_present(body, "presence_penalty")): postData["presence_penalty"] = body["presence_penalty"] - if(is_present(body, "frequency_penalty")): postData["frequency_penalty"] = body["frequency_penalty"] - if(is_present(body, "repeat_penalty")): postData["repeat_penalty"] = body["repeat_penalty"] - if(is_present(body, "mirostat")): postData["mirostat"] = body["mirostat"] - if(is_present(body, "mirostat_tau")): postData["mirostat_tau"] = body["mirostat_tau"] - if(is_present(body, "mirostat_eta")): postData["mirostat_eta"] = body["mirostat_eta"] - if(is_present(body, "seed")): postData["seed"] = body["seed"] - if(is_present(body, "logit_bias")): postData["logit_bias"] = [[int(token), body["logit_bias"][token]] for token in body["logit_bias"].keys()] - if (args.stop != ""): - postData["stop"] = [args.stop] - else: - postData["stop"] = [] - if(is_present(body, "stop")): postData["stop"] += body["stop"] - postData["n_keep"] = -1 - postData["stream"] = stream - - return postData - -def make_resData(data, chat=False, promptToken=[]): - resData = { - "id": "chatcmpl" if (chat) else "cmpl", - "object": "chat.completion" if (chat) else "text_completion", - "created": int(time.time()), - "truncated": data["truncated"], - "model": "LLaMA_CPP", - "usage": { - "prompt_tokens": data["tokens_evaluated"], - "completion_tokens": data["tokens_predicted"], - "total_tokens": data["tokens_evaluated"] + data["tokens_predicted"] - } - } - if (len(promptToken) != 0): - resData["promptToken"] = promptToken - if (chat): - #only one choice is supported - resData["choices"] = [{ - "index": 0, - "message": { - "role": "assistant", - "content": data["content"], - }, - "finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length" - }] - else: - #only one choice is supported - resData["choices"] = [{ - "text": data["content"], - "index": 0, - "logprobs": None, - "finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length" - }] - return resData - -def make_resData_stream(data, chat=False, time_now = 0, start=False): - resData = { - "id": "chatcmpl" if (chat) else "cmpl", - "object": "chat.completion.chunk" if (chat) else "text_completion.chunk", - "created": time_now, - "model": "LLaMA_CPP", - "choices": [ - { - "finish_reason": None, - "index": 0 - } - ] - } - if (chat): - if (start): - resData["choices"][0]["delta"] = { - "role": "assistant" - } - else: - resData["choices"][0]["delta"] = { - "content": data["content"] - } - if (data["stop"]): - resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length" - else: - resData["choices"][0]["text"] = data["content"] - if (data["stop"]): - resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length" - - return resData - - -@app.route('/chat/completions', methods=['POST']) -@app.route('/v1/chat/completions', methods=['POST']) -def chat_completions(): - if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key): - return Response(status=403) - body = request.get_json() - stream = False - tokenize = False - if(is_present(body, "stream")): stream = body["stream"] - if(is_present(body, "tokenize")): tokenize = body["tokenize"] - postData = make_postData(body, chat=True, stream=stream) - - promptToken = [] - if (tokenize): - tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json() - promptToken = tokenData["tokens"] - - if (not stream): - data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData)) - print(data.json()) - resData = make_resData(data.json(), chat=True, promptToken=promptToken) - return jsonify(resData) - else: - def generate(): - data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True) - time_now = int(time.time()) - resData = make_resData_stream({}, chat=True, time_now=time_now, start=True) - yield 'data: {}\n'.format(json.dumps(resData)) - for line in data.iter_lines(): - if line: - decoded_line = line.decode('utf-8') - resData = make_resData_stream(json.loads(decoded_line[6:]), chat=True, time_now=time_now) - yield 'data: {}\n'.format(json.dumps(resData)) - return Response(generate(), mimetype='text/event-stream') - - -@app.route('/completions', methods=['POST']) -@app.route('/v1/completions', methods=['POST']) -def completion(): - if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key): - return Response(status=403) - body = request.get_json() - stream = False - tokenize = False - if(is_present(body, "stream")): stream = body["stream"] - if(is_present(body, "tokenize")): tokenize = body["tokenize"] - postData = make_postData(body, chat=False, stream=stream) - - promptToken = [] - if (tokenize): - tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json() - promptToken = tokenData["tokens"] - - if (not stream): - data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData)) - print(data.json()) - resData = make_resData(data.json(), chat=False, promptToken=promptToken) - return jsonify(resData) - else: - def generate(): - data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True) - time_now = int(time.time()) - for line in data.iter_lines(): - if line: - decoded_line = line.decode('utf-8') - resData = make_resData_stream(json.loads(decoded_line[6:]), chat=False, time_now=time_now) - yield 'data: {}\n'.format(json.dumps(resData)) - return Response(generate(), mimetype='text/event-stream') - -if __name__ == '__main__': - app.run(args.host, port=args.port) diff --git a/llama.cpp/examples/server/chat-llama2.sh b/llama.cpp/examples/server/chat-llama2.sh deleted file mode 100644 index 1fc79b7..0000000 --- a/llama.cpp/examples/server/chat-llama2.sh +++ /dev/null @@ -1,109 +0,0 @@ -#!/bin/bash - -API_URL="${API_URL:-http://127.0.0.1:8080}" - -CHAT=( - "Hello, Assistant." - "Hello. How may I help you today?" -) - -INSTRUCTION="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions." - -trim() { - shopt -s extglob - set -- "${1##+([[:space:]])}" - printf "%s" "${1%%+([[:space:]])}" -} - -trim_trailing() { - shopt -s extglob - printf "%s" "${1%%+([[:space:]])}" -} - -format_prompt() { - if [[ "${#CHAT[@]}" -eq 0 ]]; then - echo -n "[INST] <>\n${INSTRUCTION}\n<>" - else - LAST_INDEX=$(( ${#CHAT[@]} - 1 )) - echo -n "${CHAT[$LAST_INDEX]}\n[INST] $1 [/INST]" - fi -} - -tokenize() { - curl \ - --silent \ - --request POST \ - --url "${API_URL}/tokenize" \ - --header "Content-Type: application/json" \ - --data-raw "$(jq -ns --arg content "$1" '{content:$content}')" \ - | jq '.tokens[]' -} - -N_KEEP=$(tokenize "[INST] <>\n${INSTRUCTION}\n<>" | wc -l) - -chat_completion() { - PROMPT="$(trim_trailing "$(format_prompt "$1")")" - DATA="$(echo -n "$PROMPT" | jq -Rs --argjson n_keep $N_KEEP '{ - prompt: ., - temperature: 0.2, - top_k: 40, - top_p: 0.9, - n_keep: $n_keep, - n_predict: 1024, - stop: ["[INST]"], - stream: true - }')" - - # Create a temporary file to hold the Python output - TEMPFILE=$(mktemp) - - exec 3< <(curl \ - --silent \ - --no-buffer \ - --request POST \ - --url "${API_URL}/completion" \ - --header "Content-Type: application/json" \ - --data-raw "${DATA}") - - python -c " -import json -import sys - -answer = '' -while True: - line = sys.stdin.readline() - if not line: - break - if line.startswith('data: '): - json_content = line[6:].strip() - content = json.loads(json_content)['content'] - sys.stdout.write(content) - sys.stdout.flush() - answer += content - -answer = answer.rstrip('\n') - -# Write the answer to the temporary file -with open('$TEMPFILE', 'w') as f: - f.write(answer) - " <&3 - - exec 3<&- - - # Read the answer from the temporary file - ANSWER=$(cat $TEMPFILE) - - # Clean up the temporary file - rm $TEMPFILE - - printf "\n" - - CHAT+=("$1" "$(trim "$ANSWER")") -} - -while true; do - echo -en "\033[0;32m" # Green color - read -r -e -p "> " QUESTION - echo -en "\033[0m" # Reset color - chat_completion "${QUESTION}" -done diff --git a/llama.cpp/examples/server/chat.mjs b/llama.cpp/examples/server/chat.mjs deleted file mode 100644 index 8269e25..0000000 --- a/llama.cpp/examples/server/chat.mjs +++ /dev/null @@ -1,89 +0,0 @@ -import * as readline from 'node:readline' -import { stdin, stdout } from 'node:process' - -const API_URL = 'http://127.0.0.1:8080' - -const chat = [ - { - human: "Hello, Assistant.", - assistant: "Hello. How may I help you today?" - }, - { - human: "Please tell me the largest city in Europe.", - assistant: "Sure. The largest city in Europe is Moscow, the capital of Russia." - }, -] - -const instruction = `A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.` - -function format_prompt(question) { - return `${instruction}\n${ - chat.map(m =>`### Human: ${m.human}\n### Assistant: ${m.assistant}`).join("\n") - }\n### Human: ${question}\n### Assistant:` -} - -async function tokenize(content) { - const result = await fetch(`${API_URL}/tokenize`, { - method: 'POST', - body: JSON.stringify({ content }) - }) - - if (!result.ok) { - return [] - } - - return await result.json().tokens -} - -const n_keep = await tokenize(instruction).length - -async function chat_completion(question) { - const result = await fetch(`${API_URL}/completion`, { - method: 'POST', - body: JSON.stringify({ - prompt: format_prompt(question), - temperature: 0.2, - top_k: 40, - top_p: 0.9, - n_keep: n_keep, - n_predict: 256, - stop: ["\n### Human:"], // stop completion after generating this - stream: true, - }) - }) - - if (!result.ok) { - return - } - - let answer = '' - - for await (var chunk of result.body) { - const t = Buffer.from(chunk).toString('utf8') - if (t.startsWith('data: ')) { - const message = JSON.parse(t.substring(6)) - answer += message.content - process.stdout.write(message.content) - if (message.stop) { - if (message.truncated) { - chat.shift() - } - break - } - } - } - - process.stdout.write('\n') - chat.push({ human: question, assistant: answer.trimStart() }) -} - -const rl = readline.createInterface({ input: stdin, output: stdout }); - -const readlineQuestion = (rl, query, options) => new Promise((resolve, reject) => { - rl.question(query, options, resolve) -}); - -while(true) { - const question = await readlineQuestion(rl, '> ') - await chat_completion(question) -} diff --git a/llama.cpp/examples/server/chat.sh b/llama.cpp/examples/server/chat.sh deleted file mode 100644 index 0143601..0000000 --- a/llama.cpp/examples/server/chat.sh +++ /dev/null @@ -1,79 +0,0 @@ -#!/bin/bash - -API_URL="${API_URL:-http://127.0.0.1:8080}" - -CHAT=( - "Hello, Assistant." - "Hello. How may I help you today?" - "Please tell me the largest city in Europe." - "Sure. The largest city in Europe is Moscow, the capital of Russia." -) - -INSTRUCTION="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions." - -trim() { - shopt -s extglob - set -- "${1##+([[:space:]])}" - printf "%s" "${1%%+([[:space:]])}" -} - -trim_trailing() { - shopt -s extglob - printf "%s" "${1%%+([[:space:]])}" -} - -format_prompt() { - echo -n "${INSTRUCTION}" - printf "\n### Human: %s\n### Assistant: %s" "${CHAT[@]}" "$1" -} - -tokenize() { - curl \ - --silent \ - --request POST \ - --url "${API_URL}/tokenize" \ - --header "Content-Type: application/json" \ - --data-raw "$(jq -ns --arg content "$1" '{content:$content}')" \ - | jq '.tokens[]' -} - -N_KEEP=$(tokenize "${INSTRUCTION}" | wc -l) - -chat_completion() { - PROMPT="$(trim_trailing "$(format_prompt "$1")")" - DATA="$(echo -n "$PROMPT" | jq -Rs --argjson n_keep $N_KEEP '{ - prompt: ., - temperature: 0.2, - top_k: 40, - top_p: 0.9, - n_keep: $n_keep, - n_predict: 256, - stop: ["\n### Human:"], - stream: true - }')" - - ANSWER='' - - while IFS= read -r LINE; do - if [[ $LINE = data:* ]]; then - CONTENT="$(echo "${LINE:5}" | jq -r '.content')" - printf "%s" "${CONTENT}" - ANSWER+="${CONTENT}" - fi - done < <(curl \ - --silent \ - --no-buffer \ - --request POST \ - --url "${API_URL}/completion" \ - --header "Content-Type: application/json" \ - --data-raw "${DATA}") - - printf "\n" - - CHAT+=("$1" "$(trim "$ANSWER")") -} - -while true; do - read -r -e -p "> " QUESTION - chat_completion "${QUESTION}" -done diff --git a/llama.cpp/examples/server/completion.js.hpp b/llama.cpp/examples/server/completion.js.hpp deleted file mode 100644 index f399fb1..0000000 --- a/llama.cpp/examples/server/completion.js.hpp +++ /dev/null @@ -1,375 +0,0 @@ -unsigned char completion_js[] = { - 0x63, 0x6f, 0x6e, 0x73, 0x74, 0x20, 0x70, 0x61, 0x72, 0x61, 0x6d, 0x44, - 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x73, 0x20, 0x3d, 0x20, 0x7b, 0x0a, - 0x20, 0x20, 0x73, 0x74, 0x72, 0x65, 0x61, 0x6d, 0x3a, 0x20, 0x74, 0x72, - 0x75, 0x65, 0x2c, 0x0a, 0x20, 0x20, 0x6e, 0x5f, 0x70, 0x72, 0x65, 0x64, - 0x69, 0x63, 0x74, 0x3a, 0x20, 0x35, 0x30, 0x30, 0x2c, 0x0a, 0x20, 0x20, - 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'_') - echo "generate $FILE.hpp ($func)" - xxd -n $func -i $PUBLIC/$FILE > $DIR/$FILE.hpp -done diff --git a/llama.cpp/examples/server/httplib.h b/llama.cpp/examples/server/httplib.h deleted file mode 100644 index 2874600..0000000 --- a/llama.cpp/examples/server/httplib.h +++ /dev/null @@ -1,8794 +0,0 @@ -// -// httplib.h -// -// Copyright (c) 2023 Yuji Hirose. All rights reserved. -// MIT License -// - -#ifndef CPPHTTPLIB_HTTPLIB_H -#define CPPHTTPLIB_HTTPLIB_H - -#define CPPHTTPLIB_VERSION "0.12.2" - -/* - * Configuration - */ - -#ifndef CPPHTTPLIB_KEEPALIVE_TIMEOUT_SECOND -#define CPPHTTPLIB_KEEPALIVE_TIMEOUT_SECOND 5 -#endif - -#ifndef CPPHTTPLIB_KEEPALIVE_MAX_COUNT -#define CPPHTTPLIB_KEEPALIVE_MAX_COUNT 5 -#endif - -#ifndef CPPHTTPLIB_CONNECTION_TIMEOUT_SECOND -#define CPPHTTPLIB_CONNECTION_TIMEOUT_SECOND 300 -#endif - -#ifndef CPPHTTPLIB_CONNECTION_TIMEOUT_USECOND -#define CPPHTTPLIB_CONNECTION_TIMEOUT_USECOND 0 -#endif - -#ifndef CPPHTTPLIB_READ_TIMEOUT_SECOND -#define CPPHTTPLIB_READ_TIMEOUT_SECOND 5 -#endif - -#ifndef CPPHTTPLIB_READ_TIMEOUT_USECOND -#define CPPHTTPLIB_READ_TIMEOUT_USECOND 0 -#endif - -#ifndef CPPHTTPLIB_WRITE_TIMEOUT_SECOND -#define CPPHTTPLIB_WRITE_TIMEOUT_SECOND 5 -#endif - -#ifndef CPPHTTPLIB_WRITE_TIMEOUT_USECOND -#define CPPHTTPLIB_WRITE_TIMEOUT_USECOND 0 -#endif - -#ifndef CPPHTTPLIB_IDLE_INTERVAL_SECOND -#define CPPHTTPLIB_IDLE_INTERVAL_SECOND 0 -#endif - -#ifndef CPPHTTPLIB_IDLE_INTERVAL_USECOND -#ifdef _WIN32 -#define CPPHTTPLIB_IDLE_INTERVAL_USECOND 10000 -#else -#define CPPHTTPLIB_IDLE_INTERVAL_USECOND 0 -#endif -#endif - -#ifndef CPPHTTPLIB_REQUEST_URI_MAX_LENGTH -#define CPPHTTPLIB_REQUEST_URI_MAX_LENGTH 8192 -#endif - -#ifndef CPPHTTPLIB_HEADER_MAX_LENGTH -#define CPPHTTPLIB_HEADER_MAX_LENGTH 8192 -#endif - -#ifndef CPPHTTPLIB_REDIRECT_MAX_COUNT -#define CPPHTTPLIB_REDIRECT_MAX_COUNT 20 -#endif - -#ifndef CPPHTTPLIB_MULTIPART_FORM_DATA_FILE_MAX_COUNT -#define CPPHTTPLIB_MULTIPART_FORM_DATA_FILE_MAX_COUNT 1024 -#endif - -#ifndef CPPHTTPLIB_PAYLOAD_MAX_LENGTH -#define CPPHTTPLIB_PAYLOAD_MAX_LENGTH ((std::numeric_limits::max)()) -#endif - -#ifndef CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH -#define CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 8192 -#endif - -#ifndef CPPHTTPLIB_TCP_NODELAY -#define CPPHTTPLIB_TCP_NODELAY false -#endif - -#ifndef CPPHTTPLIB_RECV_BUFSIZ -#define CPPHTTPLIB_RECV_BUFSIZ size_t(4096u) -#endif - -#ifndef CPPHTTPLIB_COMPRESSION_BUFSIZ -#define CPPHTTPLIB_COMPRESSION_BUFSIZ size_t(16384u) -#endif - -#ifndef CPPHTTPLIB_THREAD_POOL_COUNT -#define CPPHTTPLIB_THREAD_POOL_COUNT \ - ((std::max)(8u, std::thread::hardware_concurrency() > 0 \ - ? std::thread::hardware_concurrency() - 1 \ - : 0)) -#endif - -#ifndef CPPHTTPLIB_RECV_FLAGS -#define CPPHTTPLIB_RECV_FLAGS 0 -#endif - -#ifndef CPPHTTPLIB_SEND_FLAGS -#define CPPHTTPLIB_SEND_FLAGS 0 -#endif - -#ifndef CPPHTTPLIB_LISTEN_BACKLOG -#define CPPHTTPLIB_LISTEN_BACKLOG 5 -#endif - -/* - * Headers - */ - -#ifdef _WIN32 -#ifndef _CRT_SECURE_NO_WARNINGS -#define _CRT_SECURE_NO_WARNINGS -#endif //_CRT_SECURE_NO_WARNINGS - -#ifndef _CRT_NONSTDC_NO_DEPRECATE -#define _CRT_NONSTDC_NO_DEPRECATE -#endif //_CRT_NONSTDC_NO_DEPRECATE - -#if defined(_MSC_VER) -#if _MSC_VER < 1900 -#error Sorry, Visual Studio versions prior to 2015 are not supported -#endif - -#pragma comment(lib, "ws2_32.lib") - -#ifdef _WIN64 -using ssize_t = __int64; -#else -using ssize_t = long; -#endif -#endif // _MSC_VER - -#ifndef S_ISREG -#define S_ISREG(m) (((m)&S_IFREG) == S_IFREG) -#endif // S_ISREG - -#ifndef S_ISDIR -#define S_ISDIR(m) (((m)&S_IFDIR) == S_IFDIR) -#endif // S_ISDIR - -#ifndef NOMINMAX -#define NOMINMAX -#endif // NOMINMAX - -#include -#include -#include - -#ifndef WSA_FLAG_NO_HANDLE_INHERIT -#define WSA_FLAG_NO_HANDLE_INHERIT 0x80 -#endif - -#ifndef strcasecmp -#define strcasecmp _stricmp -#endif // strcasecmp - -using socket_t = SOCKET; -#ifdef CPPHTTPLIB_USE_POLL -#define poll(fds, nfds, timeout) WSAPoll(fds, nfds, timeout) -#endif - -#else // not _WIN32 - -#include -#ifndef _AIX -#include -#endif -#include -#include -#include -#ifdef __linux__ -#include -#endif -#include -#ifdef CPPHTTPLIB_USE_POLL -#include -#endif -#include -#include -#include -#include -#include -#include - -using socket_t = int; -#ifndef INVALID_SOCKET -#define INVALID_SOCKET (-1) -#endif -#endif //_WIN32 - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -#ifdef _WIN32 -#include - -// these are defined in wincrypt.h and it breaks compilation if BoringSSL is -// used -#undef X509_NAME -#undef X509_CERT_PAIR -#undef X509_EXTENSIONS -#undef PKCS7_SIGNER_INFO - -#ifdef _MSC_VER -#pragma comment(lib, "crypt32.lib") -#pragma comment(lib, "cryptui.lib") -#endif -#elif defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN) && defined(__APPLE__) -#include -#if TARGET_OS_OSX -#include -#include -#endif // TARGET_OS_OSX -#endif // _WIN32 - -#include -#include -#include -#include - -#if defined(_WIN32) && defined(OPENSSL_USE_APPLINK) -#include -#endif - -#include -#include - -#if OPENSSL_VERSION_NUMBER < 0x1010100fL -#error Sorry, OpenSSL versions prior to 1.1.1 are not supported -#elif OPENSSL_VERSION_NUMBER < 0x30000000L -#define SSL_get1_peer_certificate SSL_get_peer_certificate -#endif - -#endif - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT -#include -#endif - -#ifdef CPPHTTPLIB_BROTLI_SUPPORT -#include -#include -#endif - -/* - * Declaration - */ -namespace httplib { - -namespace detail { - -/* - * Backport std::make_unique from C++14. - * - * NOTE: This code came up with the following stackoverflow post: - * https://stackoverflow.com/questions/10149840/c-arrays-and-make-unique - * - */ - -template -typename std::enable_if::value, std::unique_ptr>::type -make_unique(Args &&...args) { - return std::unique_ptr(new T(std::forward(args)...)); -} - -template -typename std::enable_if::value, std::unique_ptr>::type -make_unique(std::size_t n) { - typedef typename std::remove_extent::type RT; - return std::unique_ptr(new RT[n]); -} - -struct ci { - bool operator()(const std::string &s1, const std::string &s2) const { - return std::lexicographical_compare(s1.begin(), s1.end(), s2.begin(), - s2.end(), - [](unsigned char c1, unsigned char c2) { - return ::tolower(c1) < ::tolower(c2); - }); - } -}; - -// This is based on -// "http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n4189". - -struct scope_exit { - explicit scope_exit(std::function &&f) - : exit_function(std::move(f)), execute_on_destruction{true} {} - - scope_exit(scope_exit &&rhs) - : exit_function(std::move(rhs.exit_function)), - execute_on_destruction{rhs.execute_on_destruction} { - rhs.release(); - } - - ~scope_exit() { - if (execute_on_destruction) { this->exit_function(); } - } - - void release() { this->execute_on_destruction = false; } - -private: - scope_exit(const scope_exit &) = delete; - void operator=(const scope_exit &) = delete; - scope_exit &operator=(scope_exit &&) = delete; - - std::function exit_function; - bool execute_on_destruction; -}; - -} // namespace detail - -using Headers = std::multimap; - -using Params = std::multimap; -using Match = std::smatch; - -using Progress = std::function; - -struct Response; -using ResponseHandler = std::function; - -struct MultipartFormData { - std::string name; - std::string content; - std::string filename; - std::string content_type; -}; -using MultipartFormDataItems = std::vector; -using MultipartFormDataMap = std::multimap; - -class DataSink { -public: - DataSink() : os(&sb_), sb_(*this) {} - - DataSink(const DataSink &) = delete; - DataSink &operator=(const DataSink &) = delete; - DataSink(DataSink &&) = delete; - DataSink &operator=(DataSink &&) = delete; - - std::function write; - std::function done; - std::function done_with_trailer; - std::ostream os; - -private: - class data_sink_streambuf : public std::streambuf { - public: - explicit data_sink_streambuf(DataSink &sink) : sink_(sink) {} - - protected: - std::streamsize xsputn(const char *s, std::streamsize n) { - sink_.write(s, static_cast(n)); - return n; - } - - private: - DataSink &sink_; - }; - - data_sink_streambuf sb_; -}; - -using ContentProvider = - std::function; - -using ContentProviderWithoutLength = - std::function; - -using ContentProviderResourceReleaser = std::function; - -struct MultipartFormDataProvider { - std::string name; - ContentProviderWithoutLength provider; - std::string filename; - std::string content_type; -}; -using MultipartFormDataProviderItems = std::vector; - -using ContentReceiverWithProgress = - std::function; - -using ContentReceiver = - std::function; - -using MultipartContentHeader = - std::function; - -class ContentReader { -public: - using Reader = std::function; - using MultipartReader = std::function; - - ContentReader(Reader reader, MultipartReader multipart_reader) - : reader_(std::move(reader)), - multipart_reader_(std::move(multipart_reader)) {} - - bool operator()(MultipartContentHeader header, - ContentReceiver receiver) const { - return multipart_reader_(std::move(header), std::move(receiver)); - } - - bool operator()(ContentReceiver receiver) const { - return reader_(std::move(receiver)); - } - - Reader reader_; - MultipartReader multipart_reader_; -}; - -using Range = std::pair; -using Ranges = std::vector; - -struct Request { - std::string method; - std::string path; - Headers headers; - std::string body; - - std::string remote_addr; - int remote_port = -1; - std::string local_addr; - int local_port = -1; - - // for server - std::string version; - std::string target; - Params params; - MultipartFormDataMap files; - Ranges ranges; - Match matches; - - // for client - ResponseHandler response_handler; - ContentReceiverWithProgress content_receiver; - Progress progress; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - const SSL *ssl = nullptr; -#endif - - bool has_header(const std::string &key) const; - std::string get_header_value(const std::string &key, size_t id = 0) const; - template - T get_header_value(const std::string &key, size_t id = 0) const; - size_t get_header_value_count(const std::string &key) const; - void set_header(const std::string &key, const std::string &val); - - bool has_param(const std::string &key) const; - std::string get_param_value(const std::string &key, size_t id = 0) const; - size_t get_param_value_count(const std::string &key) const; - - bool is_multipart_form_data() const; - - bool has_file(const std::string &key) const; - MultipartFormData get_file_value(const std::string &key) const; - std::vector get_file_values(const std::string &key) const; - - // private members... - size_t redirect_count_ = CPPHTTPLIB_REDIRECT_MAX_COUNT; - size_t content_length_ = 0; - ContentProvider content_provider_; - bool is_chunked_content_provider_ = false; - size_t authorization_count_ = 0; -}; - -struct Response { - std::string version; - int status = -1; - std::string reason; - Headers headers; - std::string body; - std::string location; // Redirect location - - bool has_header(const std::string &key) const; - std::string get_header_value(const std::string &key, size_t id = 0) const; - template - T get_header_value(const std::string &key, size_t id = 0) const; - size_t get_header_value_count(const std::string &key) const; - void set_header(const std::string &key, const std::string &val); - - void set_redirect(const std::string &url, int status = 302); - void set_content(const char *s, size_t n, const std::string &content_type); - void set_content(const std::string &s, const std::string &content_type); - - void set_content_provider( - size_t length, const std::string &content_type, ContentProvider provider, - ContentProviderResourceReleaser resource_releaser = nullptr); - - void set_content_provider( - const std::string &content_type, ContentProviderWithoutLength provider, - ContentProviderResourceReleaser resource_releaser = nullptr); - - void set_chunked_content_provider( - const std::string &content_type, ContentProviderWithoutLength provider, - ContentProviderResourceReleaser resource_releaser = nullptr); - - Response() = default; - Response(const Response &) = default; - Response &operator=(const Response &) = default; - Response(Response &&) = default; - Response &operator=(Response &&) = default; - ~Response() { - if (content_provider_resource_releaser_) { - content_provider_resource_releaser_(content_provider_success_); - } - } - - // private members... - size_t content_length_ = 0; - ContentProvider content_provider_; - ContentProviderResourceReleaser content_provider_resource_releaser_; - bool is_chunked_content_provider_ = false; - bool content_provider_success_ = false; -}; - -class Stream { -public: - virtual ~Stream() = default; - - virtual bool is_readable() const = 0; - virtual bool is_writable() const = 0; - - virtual ssize_t read(char *ptr, size_t size) = 0; - virtual ssize_t write(const char *ptr, size_t size) = 0; - virtual void get_remote_ip_and_port(std::string &ip, int &port) const = 0; - virtual void get_local_ip_and_port(std::string &ip, int &port) const = 0; - virtual socket_t socket() const = 0; - - template - ssize_t write_format(const char *fmt, const Args &...args); - ssize_t write(const char *ptr); - ssize_t write(const std::string &s); -}; - -class TaskQueue { -public: - TaskQueue() = default; - virtual ~TaskQueue() = default; - - virtual void enqueue(std::function fn) = 0; - virtual void shutdown() = 0; - - virtual void on_idle() {} -}; - -class ThreadPool : public TaskQueue { -public: - explicit ThreadPool(size_t n) : shutdown_(false) { - while (n) { - threads_.emplace_back(worker(*this)); - n--; - } - } - - ThreadPool(const ThreadPool &) = delete; - ~ThreadPool() override = default; - - void enqueue(std::function fn) override { - { - std::unique_lock lock(mutex_); - jobs_.push_back(std::move(fn)); - } - - cond_.notify_one(); - } - - void shutdown() override { - // Stop all worker threads... - { - std::unique_lock lock(mutex_); - shutdown_ = true; - } - - cond_.notify_all(); - - // Join... - for (auto &t : threads_) { - t.join(); - } - } - -private: - struct worker { - explicit worker(ThreadPool &pool) : pool_(pool) {} - - void operator()() { - for (;;) { - std::function fn; - { - std::unique_lock lock(pool_.mutex_); - - pool_.cond_.wait( - lock, [&] { return !pool_.jobs_.empty() || pool_.shutdown_; }); - - if (pool_.shutdown_ && pool_.jobs_.empty()) { break; } - - fn = std::move(pool_.jobs_.front()); - pool_.jobs_.pop_front(); - } - - assert(true == static_cast(fn)); - fn(); - } - } - - ThreadPool &pool_; - }; - friend struct worker; - - std::vector threads_; - std::list> jobs_; - - bool shutdown_; - - std::condition_variable cond_; - std::mutex mutex_; -}; - -using Logger = std::function; - -using SocketOptions = std::function; - -void default_socket_options(socket_t sock); - -class Server { -public: - using Handler = std::function; - - using ExceptionHandler = - std::function; - - enum class HandlerResponse { - Handled, - Unhandled, - }; - using HandlerWithResponse = - std::function; - - using HandlerWithContentReader = std::function; - - using Expect100ContinueHandler = - std::function; - - Server(); - - virtual ~Server(); - - virtual bool is_valid() const; - - Server &Get(const std::string &pattern, Handler handler); - Server &Post(const std::string &pattern, Handler handler); - Server &Post(const std::string &pattern, HandlerWithContentReader handler); - Server &Put(const std::string &pattern, Handler handler); - Server &Put(const std::string &pattern, HandlerWithContentReader handler); - Server &Patch(const std::string &pattern, Handler handler); - Server &Patch(const std::string &pattern, HandlerWithContentReader handler); - Server &Delete(const std::string &pattern, Handler handler); - Server &Delete(const std::string &pattern, HandlerWithContentReader handler); - Server &Options(const std::string &pattern, Handler handler); - - bool set_base_dir(const std::string &dir, - const std::string &mount_point = std::string()); - bool set_mount_point(const std::string &mount_point, const std::string &dir, - Headers headers = Headers()); - bool remove_mount_point(const std::string &mount_point); - Server &set_file_extension_and_mimetype_mapping(const std::string &ext, - const std::string &mime); - Server &set_file_request_handler(Handler handler); - - Server &set_error_handler(HandlerWithResponse handler); - Server &set_error_handler(Handler handler); - Server &set_exception_handler(ExceptionHandler handler); - Server &set_pre_routing_handler(HandlerWithResponse handler); - Server &set_post_routing_handler(Handler handler); - - Server &set_expect_100_continue_handler(Expect100ContinueHandler handler); - Server &set_logger(Logger logger); - - Server &set_address_family(int family); - Server &set_tcp_nodelay(bool on); - Server &set_socket_options(SocketOptions socket_options); - - Server &set_default_headers(Headers headers); - - Server &set_keep_alive_max_count(size_t count); - Server &set_keep_alive_timeout(time_t sec); - - Server &set_read_timeout(time_t sec, time_t usec = 0); - template - Server &set_read_timeout(const std::chrono::duration &duration); - - Server &set_write_timeout(time_t sec, time_t usec = 0); - template - Server &set_write_timeout(const std::chrono::duration &duration); - - Server &set_idle_interval(time_t sec, time_t usec = 0); - template - Server &set_idle_interval(const std::chrono::duration &duration); - - Server &set_payload_max_length(size_t length); - - bool bind_to_port(const std::string &host, int port, int socket_flags = 0); - int bind_to_any_port(const std::string &host, int socket_flags = 0); - bool listen_after_bind(); - - bool listen(const std::string &host, int port, int socket_flags = 0); - - bool is_running() const; - void wait_until_ready() const; - void stop(); - - std::function new_task_queue; - -protected: - bool process_request(Stream &strm, bool close_connection, - bool &connection_closed, - const std::function &setup_request); - - std::atomic svr_sock_{INVALID_SOCKET}; - size_t keep_alive_max_count_ = CPPHTTPLIB_KEEPALIVE_MAX_COUNT; - time_t keep_alive_timeout_sec_ = CPPHTTPLIB_KEEPALIVE_TIMEOUT_SECOND; - time_t read_timeout_sec_ = CPPHTTPLIB_READ_TIMEOUT_SECOND; - time_t read_timeout_usec_ = CPPHTTPLIB_READ_TIMEOUT_USECOND; - time_t write_timeout_sec_ = CPPHTTPLIB_WRITE_TIMEOUT_SECOND; - time_t write_timeout_usec_ = CPPHTTPLIB_WRITE_TIMEOUT_USECOND; - time_t idle_interval_sec_ = CPPHTTPLIB_IDLE_INTERVAL_SECOND; - time_t idle_interval_usec_ = CPPHTTPLIB_IDLE_INTERVAL_USECOND; - size_t payload_max_length_ = CPPHTTPLIB_PAYLOAD_MAX_LENGTH; - -private: - using Handlers = std::vector>; - using HandlersForContentReader = - std::vector>; - - socket_t create_server_socket(const std::string &host, int port, - int socket_flags, - SocketOptions socket_options) const; - int bind_internal(const std::string &host, int port, int socket_flags); - bool listen_internal(); - - bool routing(Request &req, Response &res, Stream &strm); - bool handle_file_request(const Request &req, Response &res, - bool head = false); - bool dispatch_request(Request &req, Response &res, const Handlers &handlers); - bool - dispatch_request_for_content_reader(Request &req, Response &res, - ContentReader content_reader, - const HandlersForContentReader &handlers); - - bool parse_request_line(const char *s, Request &req); - void apply_ranges(const Request &req, Response &res, - std::string &content_type, std::string &boundary); - bool write_response(Stream &strm, bool close_connection, const Request &req, - Response &res); - bool write_response_with_content(Stream &strm, bool close_connection, - const Request &req, Response &res); - bool write_response_core(Stream &strm, bool close_connection, - const Request &req, Response &res, - bool need_apply_ranges); - bool write_content_with_provider(Stream &strm, const Request &req, - Response &res, const std::string &boundary, - const std::string &content_type); - bool read_content(Stream &strm, Request &req, Response &res); - bool - read_content_with_content_receiver(Stream &strm, Request &req, Response &res, - ContentReceiver receiver, - MultipartContentHeader multipart_header, - ContentReceiver multipart_receiver); - bool read_content_core(Stream &strm, Request &req, Response &res, - ContentReceiver receiver, - MultipartContentHeader multipart_header, - ContentReceiver multipart_receiver); - - virtual bool process_and_close_socket(socket_t sock); - - struct MountPointEntry { - std::string mount_point; - std::string base_dir; - Headers headers; - }; - std::vector base_dirs_; - - std::atomic is_running_{false}; - std::atomic done_{false}; - std::map file_extension_and_mimetype_map_; - Handler file_request_handler_; - Handlers get_handlers_; - Handlers post_handlers_; - HandlersForContentReader post_handlers_for_content_reader_; - Handlers put_handlers_; - HandlersForContentReader put_handlers_for_content_reader_; - Handlers patch_handlers_; - HandlersForContentReader patch_handlers_for_content_reader_; - Handlers delete_handlers_; - HandlersForContentReader delete_handlers_for_content_reader_; - Handlers options_handlers_; - HandlerWithResponse error_handler_; - ExceptionHandler exception_handler_; - HandlerWithResponse pre_routing_handler_; - Handler post_routing_handler_; - Logger logger_; - Expect100ContinueHandler expect_100_continue_handler_; - - int address_family_ = AF_UNSPEC; - bool tcp_nodelay_ = CPPHTTPLIB_TCP_NODELAY; - SocketOptions socket_options_ = default_socket_options; - - Headers default_headers_; -}; - -enum class Error { - Success = 0, - Unknown, - Connection, - BindIPAddress, - Read, - Write, - ExceedRedirectCount, - Canceled, - SSLConnection, - SSLLoadingCerts, - SSLServerVerification, - UnsupportedMultipartBoundaryChars, - Compression, - ConnectionTimeout, - - // For internal use only - SSLPeerCouldBeClosed_, -}; - -std::string to_string(const Error error); - -std::ostream &operator<<(std::ostream &os, const Error &obj); - -class Result { -public: - Result(std::unique_ptr &&res, Error err, - Headers &&request_headers = Headers{}) - : res_(std::move(res)), err_(err), - request_headers_(std::move(request_headers)) {} - // Response - operator bool() const { return res_ != nullptr; } - bool operator==(std::nullptr_t) const { return res_ == nullptr; } - bool operator!=(std::nullptr_t) const { return res_ != nullptr; } - const Response &value() const { return *res_; } - Response &value() { return *res_; } - const Response &operator*() const { return *res_; } - Response &operator*() { return *res_; } - const Response *operator->() const { return res_.get(); } - Response *operator->() { return res_.get(); } - - // Error - Error error() const { return err_; } - - // Request Headers - bool has_request_header(const std::string &key) const; - std::string get_request_header_value(const std::string &key, - size_t id = 0) const; - template - T get_request_header_value(const std::string &key, size_t id = 0) const; - size_t get_request_header_value_count(const std::string &key) const; - -private: - std::unique_ptr res_; - Error err_; - Headers request_headers_; -}; - -class ClientImpl { -public: - explicit ClientImpl(const std::string &host); - - explicit ClientImpl(const std::string &host, int port); - - explicit ClientImpl(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path); - - virtual ~ClientImpl(); - - virtual bool is_valid() const; - - Result Get(const std::string &path); - Result Get(const std::string &path, const Headers &headers); - Result Get(const std::string &path, Progress progress); - Result Get(const std::string &path, const Headers &headers, - Progress progress); - Result Get(const std::string &path, ContentReceiver content_receiver); - Result Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver); - Result Get(const std::string &path, ContentReceiver content_receiver, - Progress progress); - Result Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver, Progress progress); - Result Get(const std::string &path, ResponseHandler response_handler, - ContentReceiver content_receiver); - Result Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver); - Result Get(const std::string &path, ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress); - Result Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, ContentReceiver content_receiver, - Progress progress); - - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, Progress progress = nullptr); - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, ContentReceiver content_receiver, - Progress progress = nullptr); - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress = nullptr); - - Result Head(const std::string &path); - Result Head(const std::string &path, const Headers &headers); - - Result Post(const std::string &path); - Result Post(const std::string &path, const Headers &headers); - Result Post(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, const char *body, - size_t content_length, const std::string &content_type); - Result Post(const std::string &path, const std::string &body, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Post(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type); - Result Post(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Params ¶ms); - Result Post(const std::string &path, const Headers &headers, - const Params ¶ms); - Result Post(const std::string &path, const MultipartFormDataItems &items); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, const std::string &boundary); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items); - - Result Put(const std::string &path); - Result Put(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, const char *body, - size_t content_length, const std::string &content_type); - Result Put(const std::string &path, const std::string &body, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Put(const std::string &path, size_t content_length, - ContentProvider content_provider, const std::string &content_type); - Result Put(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Params ¶ms); - Result Put(const std::string &path, const Headers &headers, - const Params ¶ms); - Result Put(const std::string &path, const MultipartFormDataItems &items); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, const std::string &boundary); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items); - - Result Patch(const std::string &path); - Result Patch(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type); - Result Patch(const std::string &path, const std::string &body, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Patch(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type); - Result Patch(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - - Result Delete(const std::string &path); - Result Delete(const std::string &path, const Headers &headers); - Result Delete(const std::string &path, const char *body, - size_t content_length, const std::string &content_type); - Result Delete(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type); - Result Delete(const std::string &path, const std::string &body, - const std::string &content_type); - Result Delete(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - - Result Options(const std::string &path); - Result Options(const std::string &path, const Headers &headers); - - bool send(Request &req, Response &res, Error &error); - Result send(const Request &req); - - size_t is_socket_open() const; - - socket_t socket() const; - - void stop(); - - void set_hostname_addr_map(std::map addr_map); - - void set_default_headers(Headers headers); - - void set_address_family(int family); - void set_tcp_nodelay(bool on); - void set_socket_options(SocketOptions socket_options); - - void set_connection_timeout(time_t sec, time_t usec = 0); - template - void - set_connection_timeout(const std::chrono::duration &duration); - - void set_read_timeout(time_t sec, time_t usec = 0); - template - void set_read_timeout(const std::chrono::duration &duration); - - void set_write_timeout(time_t sec, time_t usec = 0); - template - void set_write_timeout(const std::chrono::duration &duration); - - void set_basic_auth(const std::string &username, const std::string &password); - void set_bearer_token_auth(const std::string &token); -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_digest_auth(const std::string &username, - const std::string &password); -#endif - - void set_keep_alive(bool on); - void set_follow_location(bool on); - - void set_url_encode(bool on); - - void set_compress(bool on); - - void set_decompress(bool on); - - void set_interface(const std::string &intf); - - void set_proxy(const std::string &host, int port); - void set_proxy_basic_auth(const std::string &username, - const std::string &password); - void set_proxy_bearer_token_auth(const std::string &token); -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_proxy_digest_auth(const std::string &username, - const std::string &password); -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_ca_cert_path(const std::string &ca_cert_file_path, - const std::string &ca_cert_dir_path = std::string()); - void set_ca_cert_store(X509_STORE *ca_cert_store); -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void enable_server_certificate_verification(bool enabled); -#endif - - void set_logger(Logger logger); - -protected: - struct Socket { - socket_t sock = INVALID_SOCKET; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - SSL *ssl = nullptr; -#endif - - bool is_open() const { return sock != INVALID_SOCKET; } - }; - - virtual bool create_and_connect_socket(Socket &socket, Error &error); - - // All of: - // shutdown_ssl - // shutdown_socket - // close_socket - // should ONLY be called when socket_mutex_ is locked. - // Also, shutdown_ssl and close_socket should also NOT be called concurrently - // with a DIFFERENT thread sending requests using that socket. - virtual void shutdown_ssl(Socket &socket, bool shutdown_gracefully); - void shutdown_socket(Socket &socket); - void close_socket(Socket &socket); - - bool process_request(Stream &strm, Request &req, Response &res, - bool close_connection, Error &error); - - bool write_content_with_provider(Stream &strm, const Request &req, - Error &error); - - void copy_settings(const ClientImpl &rhs); - - // Socket endpoint information - const std::string host_; - const int port_; - const std::string host_and_port_; - - // Current open socket - Socket socket_; - mutable std::mutex socket_mutex_; - std::recursive_mutex request_mutex_; - - // These are all protected under socket_mutex - size_t socket_requests_in_flight_ = 0; - std::thread::id socket_requests_are_from_thread_ = std::thread::id(); - bool socket_should_be_closed_when_request_is_done_ = false; - - // Hostname-IP map - std::map addr_map_; - - // Default headers - Headers default_headers_; - - // Settings - std::string client_cert_path_; - std::string client_key_path_; - - time_t connection_timeout_sec_ = CPPHTTPLIB_CONNECTION_TIMEOUT_SECOND; - time_t connection_timeout_usec_ = CPPHTTPLIB_CONNECTION_TIMEOUT_USECOND; - time_t read_timeout_sec_ = CPPHTTPLIB_READ_TIMEOUT_SECOND; - time_t read_timeout_usec_ = CPPHTTPLIB_READ_TIMEOUT_USECOND; - time_t write_timeout_sec_ = CPPHTTPLIB_WRITE_TIMEOUT_SECOND; - time_t write_timeout_usec_ = CPPHTTPLIB_WRITE_TIMEOUT_USECOND; - - std::string basic_auth_username_; - std::string basic_auth_password_; - std::string bearer_token_auth_token_; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - std::string digest_auth_username_; - std::string digest_auth_password_; -#endif - - bool keep_alive_ = false; - bool follow_location_ = false; - - bool url_encode_ = true; - - int address_family_ = AF_UNSPEC; - bool tcp_nodelay_ = CPPHTTPLIB_TCP_NODELAY; - SocketOptions socket_options_ = nullptr; - - bool compress_ = false; - bool decompress_ = true; - - std::string interface_; - - std::string proxy_host_; - int proxy_port_ = -1; - - std::string proxy_basic_auth_username_; - std::string proxy_basic_auth_password_; - std::string proxy_bearer_token_auth_token_; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - std::string proxy_digest_auth_username_; - std::string proxy_digest_auth_password_; -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - std::string ca_cert_file_path_; - std::string ca_cert_dir_path_; - - X509_STORE *ca_cert_store_ = nullptr; -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - bool server_certificate_verification_ = true; -#endif - - Logger logger_; - -private: - bool send_(Request &req, Response &res, Error &error); - Result send_(Request &&req); - - socket_t create_client_socket(Error &error) const; - bool read_response_line(Stream &strm, const Request &req, Response &res); - bool write_request(Stream &strm, Request &req, bool close_connection, - Error &error); - bool redirect(Request &req, Response &res, Error &error); - bool handle_request(Stream &strm, Request &req, Response &res, - bool close_connection, Error &error); - std::unique_ptr send_with_content_provider( - Request &req, const char *body, size_t content_length, - ContentProvider content_provider, - ContentProviderWithoutLength content_provider_without_length, - const std::string &content_type, Error &error); - Result send_with_content_provider( - const std::string &method, const std::string &path, - const Headers &headers, const char *body, size_t content_length, - ContentProvider content_provider, - ContentProviderWithoutLength content_provider_without_length, - const std::string &content_type); - ContentProviderWithoutLength get_multipart_content_provider( - const std::string &boundary, const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items); - - std::string adjust_host_string(const std::string &host) const; - - virtual bool process_socket(const Socket &socket, - std::function callback); - virtual bool is_ssl() const; -}; - -class Client { -public: - // Universal interface - explicit Client(const std::string &scheme_host_port); - - explicit Client(const std::string &scheme_host_port, - const std::string &client_cert_path, - const std::string &client_key_path); - - // HTTP only interface - explicit Client(const std::string &host, int port); - - explicit Client(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path); - - Client(Client &&) = default; - - ~Client(); - - bool is_valid() const; - - Result Get(const std::string &path); - Result Get(const std::string &path, const Headers &headers); - Result Get(const std::string &path, Progress progress); - Result Get(const std::string &path, const Headers &headers, - Progress progress); - Result Get(const std::string &path, ContentReceiver content_receiver); - Result Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver); - Result Get(const std::string &path, ContentReceiver content_receiver, - Progress progress); - Result Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver, Progress progress); - Result Get(const std::string &path, ResponseHandler response_handler, - ContentReceiver content_receiver); - Result Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver); - Result Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, ContentReceiver content_receiver, - Progress progress); - Result Get(const std::string &path, ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress); - - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, Progress progress = nullptr); - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, ContentReceiver content_receiver, - Progress progress = nullptr); - Result Get(const std::string &path, const Params ¶ms, - const Headers &headers, ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress = nullptr); - - Result Head(const std::string &path); - Result Head(const std::string &path, const Headers &headers); - - Result Post(const std::string &path); - Result Post(const std::string &path, const Headers &headers); - Result Post(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, const char *body, - size_t content_length, const std::string &content_type); - Result Post(const std::string &path, const std::string &body, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Post(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type); - Result Post(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Post(const std::string &path, const Params ¶ms); - Result Post(const std::string &path, const Headers &headers, - const Params ¶ms); - Result Post(const std::string &path, const MultipartFormDataItems &items); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, const std::string &boundary); - Result Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items); - - Result Put(const std::string &path); - Result Put(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, const char *body, - size_t content_length, const std::string &content_type); - Result Put(const std::string &path, const std::string &body, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Put(const std::string &path, size_t content_length, - ContentProvider content_provider, const std::string &content_type); - Result Put(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Put(const std::string &path, const Params ¶ms); - Result Put(const std::string &path, const Headers &headers, - const Params ¶ms); - Result Put(const std::string &path, const MultipartFormDataItems &items); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, const std::string &boundary); - Result Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items); - - Result Patch(const std::string &path); - Result Patch(const std::string &path, const char *body, size_t content_length, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type); - Result Patch(const std::string &path, const std::string &body, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - Result Patch(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type); - Result Patch(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - size_t content_length, ContentProvider content_provider, - const std::string &content_type); - Result Patch(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type); - - Result Delete(const std::string &path); - Result Delete(const std::string &path, const Headers &headers); - Result Delete(const std::string &path, const char *body, - size_t content_length, const std::string &content_type); - Result Delete(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type); - Result Delete(const std::string &path, const std::string &body, - const std::string &content_type); - Result Delete(const std::string &path, const Headers &headers, - const std::string &body, const std::string &content_type); - - Result Options(const std::string &path); - Result Options(const std::string &path, const Headers &headers); - - bool send(Request &req, Response &res, Error &error); - Result send(const Request &req); - - size_t is_socket_open() const; - - socket_t socket() const; - - void stop(); - - void set_hostname_addr_map(std::map addr_map); - - void set_default_headers(Headers headers); - - void set_address_family(int family); - void set_tcp_nodelay(bool on); - void set_socket_options(SocketOptions socket_options); - - void set_connection_timeout(time_t sec, time_t usec = 0); - template - void - set_connection_timeout(const std::chrono::duration &duration); - - void set_read_timeout(time_t sec, time_t usec = 0); - template - void set_read_timeout(const std::chrono::duration &duration); - - void set_write_timeout(time_t sec, time_t usec = 0); - template - void set_write_timeout(const std::chrono::duration &duration); - - void set_basic_auth(const std::string &username, const std::string &password); - void set_bearer_token_auth(const std::string &token); -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_digest_auth(const std::string &username, - const std::string &password); -#endif - - void set_keep_alive(bool on); - void set_follow_location(bool on); - - void set_url_encode(bool on); - - void set_compress(bool on); - - void set_decompress(bool on); - - void set_interface(const std::string &intf); - - void set_proxy(const std::string &host, int port); - void set_proxy_basic_auth(const std::string &username, - const std::string &password); - void set_proxy_bearer_token_auth(const std::string &token); -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_proxy_digest_auth(const std::string &username, - const std::string &password); -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void enable_server_certificate_verification(bool enabled); -#endif - - void set_logger(Logger logger); - - // SSL -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - void set_ca_cert_path(const std::string &ca_cert_file_path, - const std::string &ca_cert_dir_path = std::string()); - - void set_ca_cert_store(X509_STORE *ca_cert_store); - - long get_openssl_verify_result() const; - - SSL_CTX *ssl_context() const; -#endif - -private: - std::unique_ptr cli_; - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - bool is_ssl_ = false; -#endif -}; - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -class SSLServer : public Server { -public: - SSLServer(const char *cert_path, const char *private_key_path, - const char *client_ca_cert_file_path = nullptr, - const char *client_ca_cert_dir_path = nullptr, - const char *private_key_password = nullptr); - - SSLServer(X509 *cert, EVP_PKEY *private_key, - X509_STORE *client_ca_cert_store = nullptr); - - SSLServer( - const std::function &setup_ssl_ctx_callback); - - ~SSLServer() override; - - bool is_valid() const override; - - SSL_CTX *ssl_context() const; - -private: - bool process_and_close_socket(socket_t sock) override; - - SSL_CTX *ctx_; - std::mutex ctx_mutex_; -}; - -class SSLClient : public ClientImpl { -public: - explicit SSLClient(const std::string &host); - - explicit SSLClient(const std::string &host, int port); - - explicit SSLClient(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path); - - explicit SSLClient(const std::string &host, int port, X509 *client_cert, - EVP_PKEY *client_key); - - ~SSLClient() override; - - bool is_valid() const override; - - void set_ca_cert_store(X509_STORE *ca_cert_store); - - long get_openssl_verify_result() const; - - SSL_CTX *ssl_context() const; - -private: - bool create_and_connect_socket(Socket &socket, Error &error) override; - void shutdown_ssl(Socket &socket, bool shutdown_gracefully) override; - void shutdown_ssl_impl(Socket &socket, bool shutdown_socket); - - bool process_socket(const Socket &socket, - std::function callback) override; - bool is_ssl() const override; - - bool connect_with_proxy(Socket &sock, Response &res, bool &success, - Error &error); - bool initialize_ssl(Socket &socket, Error &error); - - bool load_certs(); - - bool verify_host(X509 *server_cert) const; - bool verify_host_with_subject_alt_name(X509 *server_cert) const; - bool verify_host_with_common_name(X509 *server_cert) const; - bool check_host_name(const char *pattern, size_t pattern_len) const; - - SSL_CTX *ctx_; - std::mutex ctx_mutex_; - std::once_flag initialize_cert_; - - std::vector host_components_; - - long verify_result_ = 0; - - friend class ClientImpl; -}; -#endif - -/* - * Implementation of template methods. - */ - -namespace detail { - -template -inline void duration_to_sec_and_usec(const T &duration, U callback) { - auto sec = std::chrono::duration_cast(duration).count(); - auto usec = std::chrono::duration_cast( - duration - std::chrono::seconds(sec)) - .count(); - callback(static_cast(sec), static_cast(usec)); -} - -template -inline T get_header_value(const Headers & /*headers*/, - const std::string & /*key*/, size_t /*id*/ = 0, - uint64_t /*def*/ = 0) {} - -template <> -inline uint64_t get_header_value(const Headers &headers, - const std::string &key, size_t id, - uint64_t def) { - auto rng = headers.equal_range(key); - auto it = rng.first; - std::advance(it, static_cast(id)); - if (it != rng.second) { - return std::strtoull(it->second.data(), nullptr, 10); - } - return def; -} - -} // namespace detail - -template -inline T Request::get_header_value(const std::string &key, size_t id) const { - return detail::get_header_value(headers, key, id, 0); -} - -template -inline T Response::get_header_value(const std::string &key, size_t id) const { - return detail::get_header_value(headers, key, id, 0); -} - -template -inline ssize_t Stream::write_format(const char *fmt, const Args &...args) { - const auto bufsiz = 2048; - std::array buf{}; - - auto sn = snprintf(buf.data(), buf.size() - 1, fmt, args...); - if (sn <= 0) { return sn; } - - auto n = static_cast(sn); - - if (n >= buf.size() - 1) { - std::vector glowable_buf(buf.size()); - - while (n >= glowable_buf.size() - 1) { - glowable_buf.resize(glowable_buf.size() * 2); - n = static_cast( - snprintf(&glowable_buf[0], glowable_buf.size() - 1, fmt, args...)); - } - return write(&glowable_buf[0], n); - } else { - return write(buf.data(), n); - } -} - -inline void default_socket_options(socket_t sock) { - int yes = 1; -#ifdef _WIN32 - setsockopt(sock, SOL_SOCKET, SO_REUSEADDR, reinterpret_cast(&yes), - sizeof(yes)); - setsockopt(sock, SOL_SOCKET, SO_EXCLUSIVEADDRUSE, - reinterpret_cast(&yes), sizeof(yes)); -#else -#ifdef SO_REUSEPORT - setsockopt(sock, SOL_SOCKET, SO_REUSEPORT, reinterpret_cast(&yes), - sizeof(yes)); -#else - setsockopt(sock, SOL_SOCKET, SO_REUSEADDR, reinterpret_cast(&yes), - sizeof(yes)); -#endif -#endif -} - -template -inline Server & -Server::set_read_timeout(const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec( - duration, [&](time_t sec, time_t usec) { set_read_timeout(sec, usec); }); - return *this; -} - -template -inline Server & -Server::set_write_timeout(const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec( - duration, [&](time_t sec, time_t usec) { set_write_timeout(sec, usec); }); - return *this; -} - -template -inline Server & -Server::set_idle_interval(const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec( - duration, [&](time_t sec, time_t usec) { set_idle_interval(sec, usec); }); - return *this; -} - -inline std::string to_string(const Error error) { - switch (error) { - case Error::Success: return "Success (no error)"; - case Error::Connection: return "Could not establish connection"; - case Error::BindIPAddress: return "Failed to bind IP address"; - case Error::Read: return "Failed to read connection"; - case Error::Write: return "Failed to write connection"; - case Error::ExceedRedirectCount: return "Maximum redirect count exceeded"; - case Error::Canceled: return "Connection handling canceled"; - case Error::SSLConnection: return "SSL connection failed"; - case Error::SSLLoadingCerts: return "SSL certificate loading failed"; - case Error::SSLServerVerification: return "SSL server verification failed"; - case Error::UnsupportedMultipartBoundaryChars: - return "Unsupported HTTP multipart boundary characters"; - case Error::Compression: return "Compression failed"; - case Error::ConnectionTimeout: return "Connection timed out"; - case Error::Unknown: return "Unknown"; - default: break; - } - - return "Invalid"; -} - -inline std::ostream &operator<<(std::ostream &os, const Error &obj) { - os << to_string(obj); - os << " (" << static_cast::type>(obj) << ')'; - return os; -} - -template -inline T Result::get_request_header_value(const std::string &key, - size_t id) const { - return detail::get_header_value(request_headers_, key, id, 0); -} - -template -inline void ClientImpl::set_connection_timeout( - const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec(duration, [&](time_t sec, time_t usec) { - set_connection_timeout(sec, usec); - }); -} - -template -inline void ClientImpl::set_read_timeout( - const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec( - duration, [&](time_t sec, time_t usec) { set_read_timeout(sec, usec); }); -} - -template -inline void ClientImpl::set_write_timeout( - const std::chrono::duration &duration) { - detail::duration_to_sec_and_usec( - duration, [&](time_t sec, time_t usec) { set_write_timeout(sec, usec); }); -} - -template -inline void Client::set_connection_timeout( - const std::chrono::duration &duration) { - cli_->set_connection_timeout(duration); -} - -template -inline void -Client::set_read_timeout(const std::chrono::duration &duration) { - cli_->set_read_timeout(duration); -} - -template -inline void -Client::set_write_timeout(const std::chrono::duration &duration) { - cli_->set_write_timeout(duration); -} - -/* - * Forward declarations and types that will be part of the .h file if split into - * .h + .cc. - */ - -std::string hosted_at(const std::string &hostname); - -void hosted_at(const std::string &hostname, std::vector &addrs); - -std::string append_query_params(const std::string &path, const Params ¶ms); - -std::pair make_range_header(Ranges ranges); - -std::pair -make_basic_authentication_header(const std::string &username, - const std::string &password, - bool is_proxy = false); - -namespace detail { - -std::string encode_query_param(const std::string &value); - -std::string decode_url(const std::string &s, bool convert_plus_to_space); - -void read_file(const std::string &path, std::string &out); - -std::string trim_copy(const std::string &s); - -void split(const char *b, const char *e, char d, - std::function fn); - -bool process_client_socket(socket_t sock, time_t read_timeout_sec, - time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, - std::function callback); - -socket_t create_client_socket( - const std::string &host, const std::string &ip, int port, - int address_family, bool tcp_nodelay, SocketOptions socket_options, - time_t connection_timeout_sec, time_t connection_timeout_usec, - time_t read_timeout_sec, time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, const std::string &intf, Error &error); - -const char *get_header_value(const Headers &headers, const std::string &key, - size_t id = 0, const char *def = nullptr); - -std::string params_to_query_str(const Params ¶ms); - -void parse_query_text(const std::string &s, Params ¶ms); - -bool parse_multipart_boundary(const std::string &content_type, - std::string &boundary); - -bool parse_range_header(const std::string &s, Ranges &ranges); - -int close_socket(socket_t sock); - -ssize_t send_socket(socket_t sock, const void *ptr, size_t size, int flags); - -ssize_t read_socket(socket_t sock, void *ptr, size_t size, int flags); - -enum class EncodingType { None = 0, Gzip, Brotli }; - -EncodingType encoding_type(const Request &req, const Response &res); - -class BufferStream : public Stream { -public: - BufferStream() = default; - ~BufferStream() override = default; - - bool is_readable() const override; - bool is_writable() const override; - ssize_t read(char *ptr, size_t size) override; - ssize_t write(const char *ptr, size_t size) override; - void get_remote_ip_and_port(std::string &ip, int &port) const override; - void get_local_ip_and_port(std::string &ip, int &port) const override; - socket_t socket() const override; - - const std::string &get_buffer() const; - -private: - std::string buffer; - size_t position = 0; -}; - -class compressor { -public: - virtual ~compressor() = default; - - typedef std::function Callback; - virtual bool compress(const char *data, size_t data_length, bool last, - Callback callback) = 0; -}; - -class decompressor { -public: - virtual ~decompressor() = default; - - virtual bool is_valid() const = 0; - - typedef std::function Callback; - virtual bool decompress(const char *data, size_t data_length, - Callback callback) = 0; -}; - -class nocompressor : public compressor { -public: - virtual ~nocompressor() = default; - - bool compress(const char *data, size_t data_length, bool /*last*/, - Callback callback) override; -}; - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT -class gzip_compressor : public compressor { -public: - gzip_compressor(); - ~gzip_compressor(); - - bool compress(const char *data, size_t data_length, bool last, - Callback callback) override; - -private: - bool is_valid_ = false; - z_stream strm_; -}; - -class gzip_decompressor : public decompressor { -public: - gzip_decompressor(); - ~gzip_decompressor(); - - bool is_valid() const override; - - bool decompress(const char *data, size_t data_length, - Callback callback) override; - -private: - bool is_valid_ = false; - z_stream strm_; -}; -#endif - -#ifdef CPPHTTPLIB_BROTLI_SUPPORT -class brotli_compressor : public compressor { -public: - brotli_compressor(); - ~brotli_compressor(); - - bool compress(const char *data, size_t data_length, bool last, - Callback callback) override; - -private: - BrotliEncoderState *state_ = nullptr; -}; - -class brotli_decompressor : public decompressor { -public: - brotli_decompressor(); - ~brotli_decompressor(); - - bool is_valid() const override; - - bool decompress(const char *data, size_t data_length, - Callback callback) override; - -private: - BrotliDecoderResult decoder_r; - BrotliDecoderState *decoder_s = nullptr; -}; -#endif - -// NOTE: until the read size reaches `fixed_buffer_size`, use `fixed_buffer` -// to store data. The call can set memory on stack for performance. -class stream_line_reader { -public: - stream_line_reader(Stream &strm, char *fixed_buffer, - size_t fixed_buffer_size); - const char *ptr() const; - size_t size() const; - bool end_with_crlf() const; - bool getline(); - -private: - void append(char c); - - Stream &strm_; - char *fixed_buffer_; - const size_t fixed_buffer_size_; - size_t fixed_buffer_used_size_ = 0; - std::string glowable_buffer_; -}; - -} // namespace detail - -// ---------------------------------------------------------------------------- - -/* - * Implementation that will be part of the .cc file if split into .h + .cc. - */ - -namespace detail { - -inline bool is_hex(char c, int &v) { - if (0x20 <= c && isdigit(c)) { - v = c - '0'; - return true; - } else if ('A' <= c && c <= 'F') { - v = c - 'A' + 10; - return true; - } else if ('a' <= c && c <= 'f') { - v = c - 'a' + 10; - return true; - } - return false; -} - -inline bool from_hex_to_i(const std::string &s, size_t i, size_t cnt, - int &val) { - if (i >= s.size()) { return false; } - - val = 0; - for (; cnt; i++, cnt--) { - if (!s[i]) { return false; } - int v = 0; - if (is_hex(s[i], v)) { - val = val * 16 + v; - } else { - return false; - } - } - return true; -} - -inline std::string from_i_to_hex(size_t n) { - const char *charset = "0123456789abcdef"; - std::string ret; - do { - ret = charset[n & 15] + ret; - n >>= 4; - } while (n > 0); - return ret; -} - -inline size_t to_utf8(int code, char *buff) { - if (code < 0x0080) { - buff[0] = (code & 0x7F); - return 1; - } else if (code < 0x0800) { - buff[0] = static_cast(0xC0 | ((code >> 6) & 0x1F)); - buff[1] = static_cast(0x80 | (code & 0x3F)); - return 2; - } else if (code < 0xD800) { - buff[0] = static_cast(0xE0 | ((code >> 12) & 0xF)); - buff[1] = static_cast(0x80 | ((code >> 6) & 0x3F)); - buff[2] = static_cast(0x80 | (code & 0x3F)); - return 3; - } else if (code < 0xE000) { // D800 - DFFF is invalid... - return 0; - } else if (code < 0x10000) { - buff[0] = static_cast(0xE0 | ((code >> 12) & 0xF)); - buff[1] = static_cast(0x80 | ((code >> 6) & 0x3F)); - buff[2] = static_cast(0x80 | (code & 0x3F)); - return 3; - } else if (code < 0x110000) { - buff[0] = static_cast(0xF0 | ((code >> 18) & 0x7)); - buff[1] = static_cast(0x80 | ((code >> 12) & 0x3F)); - buff[2] = static_cast(0x80 | ((code >> 6) & 0x3F)); - buff[3] = static_cast(0x80 | (code & 0x3F)); - return 4; - } - - // NOTREACHED - return 0; -} - -// NOTE: This code came up with the following stackoverflow post: -// https://stackoverflow.com/questions/180947/base64-decode-snippet-in-c -inline std::string base64_encode(const std::string &in) { - static const auto lookup = - "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"; - - std::string out; - out.reserve(in.size()); - - int val = 0; - int valb = -6; - - for (auto c : in) { - val = (val << 8) + static_cast(c); - valb += 8; - while (valb >= 0) { - out.push_back(lookup[(val >> valb) & 0x3F]); - valb -= 6; - } - } - - if (valb > -6) { out.push_back(lookup[((val << 8) >> (valb + 8)) & 0x3F]); } - - while (out.size() % 4) { - out.push_back('='); - } - - return out; -} - -inline bool is_file(const std::string &path) { -#ifdef _WIN32 - return _access_s(path.c_str(), 0) == 0; -#else - struct stat st; - return stat(path.c_str(), &st) >= 0 && S_ISREG(st.st_mode); -#endif -} - -inline bool is_dir(const std::string &path) { - struct stat st; - return stat(path.c_str(), &st) >= 0 && S_ISDIR(st.st_mode); -} - -inline bool is_valid_path(const std::string &path) { - size_t level = 0; - size_t i = 0; - - // Skip slash - while (i < path.size() && path[i] == '/') { - i++; - } - - while (i < path.size()) { - // Read component - auto beg = i; - while (i < path.size() && path[i] != '/') { - i++; - } - - auto len = i - beg; - assert(len > 0); - - if (!path.compare(beg, len, ".")) { - ; - } else if (!path.compare(beg, len, "..")) { - if (level == 0) { return false; } - level--; - } else { - level++; - } - - // Skip slash - while (i < path.size() && path[i] == '/') { - i++; - } - } - - return true; -} - -inline std::string encode_query_param(const std::string &value) { - std::ostringstream escaped; - escaped.fill('0'); - escaped << std::hex; - - for (auto c : value) { - if (std::isalnum(static_cast(c)) || c == '-' || c == '_' || - c == '.' || c == '!' || c == '~' || c == '*' || c == '\'' || c == '(' || - c == ')') { - escaped << c; - } else { - escaped << std::uppercase; - escaped << '%' << std::setw(2) - << static_cast(static_cast(c)); - escaped << std::nouppercase; - } - } - - return escaped.str(); -} - -inline std::string encode_url(const std::string &s) { - std::string result; - result.reserve(s.size()); - - for (size_t i = 0; s[i]; i++) { - switch (s[i]) { - case ' ': result += "%20"; break; - case '+': result += "%2B"; break; - case '\r': result += "%0D"; break; - case '\n': result += "%0A"; break; - case '\'': result += "%27"; break; - case ',': result += "%2C"; break; - // case ':': result += "%3A"; break; // ok? probably... - case ';': result += "%3B"; break; - default: - auto c = static_cast(s[i]); - if (c >= 0x80) { - result += '%'; - char hex[4]; - auto len = snprintf(hex, sizeof(hex) - 1, "%02X", c); - assert(len == 2); - result.append(hex, static_cast(len)); - } else { - result += s[i]; - } - break; - } - } - - return result; -} - -inline std::string decode_url(const std::string &s, - bool convert_plus_to_space) { - std::string result; - - for (size_t i = 0; i < s.size(); i++) { - if (s[i] == '%' && i + 1 < s.size()) { - if (s[i + 1] == 'u') { - int val = 0; - if (from_hex_to_i(s, i + 2, 4, val)) { - // 4 digits Unicode codes - char buff[4]; - size_t len = to_utf8(val, buff); - if (len > 0) { result.append(buff, len); } - i += 5; // 'u0000' - } else { - result += s[i]; - } - } else { - int val = 0; - if (from_hex_to_i(s, i + 1, 2, val)) { - // 2 digits hex codes - result += static_cast(val); - i += 2; // '00' - } else { - result += s[i]; - } - } - } else if (convert_plus_to_space && s[i] == '+') { - result += ' '; - } else { - result += s[i]; - } - } - - return result; -} - -inline void read_file(const std::string &path, std::string &out) { - std::ifstream fs(path, std::ios_base::binary); - fs.seekg(0, std::ios_base::end); - auto size = fs.tellg(); - fs.seekg(0); - out.resize(static_cast(size)); - fs.read(&out[0], static_cast(size)); -} - -inline std::string file_extension(const std::string &path) { - std::smatch m; - static auto re = std::regex("\\.([a-zA-Z0-9]+)$"); - if (std::regex_search(path, m, re)) { return m[1].str(); } - return std::string(); -} - -inline bool is_space_or_tab(char c) { return c == ' ' || c == '\t'; } - -inline std::pair trim(const char *b, const char *e, size_t left, - size_t right) { - while (b + left < e && is_space_or_tab(b[left])) { - left++; - } - while (right > 0 && is_space_or_tab(b[right - 1])) { - right--; - } - return std::make_pair(left, right); -} - -inline std::string trim_copy(const std::string &s) { - auto r = trim(s.data(), s.data() + s.size(), 0, s.size()); - return s.substr(r.first, r.second - r.first); -} - -inline void split(const char *b, const char *e, char d, - std::function fn) { - size_t i = 0; - size_t beg = 0; - - while (e ? (b + i < e) : (b[i] != '\0')) { - if (b[i] == d) { - auto r = trim(b, e, beg, i); - if (r.first < r.second) { fn(&b[r.first], &b[r.second]); } - beg = i + 1; - } - i++; - } - - if (i) { - auto r = trim(b, e, beg, i); - if (r.first < r.second) { fn(&b[r.first], &b[r.second]); } - } -} - -inline stream_line_reader::stream_line_reader(Stream &strm, char *fixed_buffer, - size_t fixed_buffer_size) - : strm_(strm), fixed_buffer_(fixed_buffer), - fixed_buffer_size_(fixed_buffer_size) {} - -inline const char *stream_line_reader::ptr() const { - if (glowable_buffer_.empty()) { - return fixed_buffer_; - } else { - return glowable_buffer_.data(); - } -} - -inline size_t stream_line_reader::size() const { - if (glowable_buffer_.empty()) { - return fixed_buffer_used_size_; - } else { - return glowable_buffer_.size(); - } -} - -inline bool stream_line_reader::end_with_crlf() const { - auto end = ptr() + size(); - return size() >= 2 && end[-2] == '\r' && end[-1] == '\n'; -} - -inline bool stream_line_reader::getline() { - fixed_buffer_used_size_ = 0; - glowable_buffer_.clear(); - - for (size_t i = 0;; i++) { - char byte; - auto n = strm_.read(&byte, 1); - - if (n < 0) { - return false; - } else if (n == 0) { - if (i == 0) { - return false; - } else { - break; - } - } - - append(byte); - - if (byte == '\n') { break; } - } - - return true; -} - -inline void stream_line_reader::append(char c) { - if (fixed_buffer_used_size_ < fixed_buffer_size_ - 1) { - fixed_buffer_[fixed_buffer_used_size_++] = c; - fixed_buffer_[fixed_buffer_used_size_] = '\0'; - } else { - if (glowable_buffer_.empty()) { - assert(fixed_buffer_[fixed_buffer_used_size_] == '\0'); - glowable_buffer_.assign(fixed_buffer_, fixed_buffer_used_size_); - } - glowable_buffer_ += c; - } -} - -inline int close_socket(socket_t sock) { -#ifdef _WIN32 - return closesocket(sock); -#else - return close(sock); -#endif -} - -template inline ssize_t handle_EINTR(T fn) { - ssize_t res = false; - while (true) { - res = fn(); - if (res < 0 && errno == EINTR) { continue; } - break; - } - return res; -} - -inline ssize_t read_socket(socket_t sock, void *ptr, size_t size, int flags) { - return handle_EINTR([&]() { - return recv(sock, -#ifdef _WIN32 - static_cast(ptr), static_cast(size), -#else - ptr, size, -#endif - flags); - }); -} - -inline ssize_t send_socket(socket_t sock, const void *ptr, size_t size, - int flags) { - return handle_EINTR([&]() { - return send(sock, -#ifdef _WIN32 - static_cast(ptr), static_cast(size), -#else - ptr, size, -#endif - flags); - }); -} - -inline ssize_t select_read(socket_t sock, time_t sec, time_t usec) { -#ifdef CPPHTTPLIB_USE_POLL - struct pollfd pfd_read; - pfd_read.fd = sock; - pfd_read.events = POLLIN; - - auto timeout = static_cast(sec * 1000 + usec / 1000); - - return handle_EINTR([&]() { return poll(&pfd_read, 1, timeout); }); -#else -#ifndef _WIN32 - if (sock >= FD_SETSIZE) { return 1; } -#endif - - fd_set fds; - FD_ZERO(&fds); - FD_SET(sock, &fds); - - timeval tv; - tv.tv_sec = static_cast(sec); - tv.tv_usec = static_cast(usec); - - return handle_EINTR([&]() { - return select(static_cast(sock + 1), &fds, nullptr, nullptr, &tv); - }); -#endif -} - -inline ssize_t select_write(socket_t sock, time_t sec, time_t usec) { -#ifdef CPPHTTPLIB_USE_POLL - struct pollfd pfd_read; - pfd_read.fd = sock; - pfd_read.events = POLLOUT; - - auto timeout = static_cast(sec * 1000 + usec / 1000); - - return handle_EINTR([&]() { return poll(&pfd_read, 1, timeout); }); -#else -#ifndef _WIN32 - if (sock >= FD_SETSIZE) { return 1; } -#endif - - fd_set fds; - FD_ZERO(&fds); - FD_SET(sock, &fds); - - timeval tv; - tv.tv_sec = static_cast(sec); - tv.tv_usec = static_cast(usec); - - return handle_EINTR([&]() { - return select(static_cast(sock + 1), nullptr, &fds, nullptr, &tv); - }); -#endif -} - -inline Error wait_until_socket_is_ready(socket_t sock, time_t sec, - time_t usec) { -#ifdef CPPHTTPLIB_USE_POLL - struct pollfd pfd_read; - pfd_read.fd = sock; - pfd_read.events = POLLIN | POLLOUT; - - auto timeout = static_cast(sec * 1000 + usec / 1000); - - auto poll_res = handle_EINTR([&]() { return poll(&pfd_read, 1, timeout); }); - - if (poll_res == 0) { return Error::ConnectionTimeout; } - - if (poll_res > 0 && pfd_read.revents & (POLLIN | POLLOUT)) { - int error = 0; - socklen_t len = sizeof(error); - auto res = getsockopt(sock, SOL_SOCKET, SO_ERROR, - reinterpret_cast(&error), &len); - auto successful = res >= 0 && !error; - return successful ? Error::Success : Error::Connection; - } - - return Error::Connection; -#else -#ifndef _WIN32 - if (sock >= FD_SETSIZE) { return Error::Connection; } -#endif - - fd_set fdsr; - FD_ZERO(&fdsr); - FD_SET(sock, &fdsr); - - auto fdsw = fdsr; - auto fdse = fdsr; - - timeval tv; - tv.tv_sec = static_cast(sec); - tv.tv_usec = static_cast(usec); - - auto ret = handle_EINTR([&]() { - return select(static_cast(sock + 1), &fdsr, &fdsw, &fdse, &tv); - }); - - if (ret == 0) { return Error::ConnectionTimeout; } - - if (ret > 0 && (FD_ISSET(sock, &fdsr) || FD_ISSET(sock, &fdsw))) { - int error = 0; - socklen_t len = sizeof(error); - auto res = getsockopt(sock, SOL_SOCKET, SO_ERROR, - reinterpret_cast(&error), &len); - auto successful = res >= 0 && !error; - return successful ? Error::Success : Error::Connection; - } - return Error::Connection; -#endif -} - -inline bool is_socket_alive(socket_t sock) { - const auto val = detail::select_read(sock, 0, 0); - if (val == 0) { - return true; - } else if (val < 0 && errno == EBADF) { - return false; - } - char buf[1]; - return detail::read_socket(sock, &buf[0], sizeof(buf), MSG_PEEK) > 0; -} - -class SocketStream : public Stream { -public: - SocketStream(socket_t sock, time_t read_timeout_sec, time_t read_timeout_usec, - time_t write_timeout_sec, time_t write_timeout_usec); - ~SocketStream() override; - - bool is_readable() const override; - bool is_writable() const override; - ssize_t read(char *ptr, size_t size) override; - ssize_t write(const char *ptr, size_t size) override; - void get_remote_ip_and_port(std::string &ip, int &port) const override; - void get_local_ip_and_port(std::string &ip, int &port) const override; - socket_t socket() const override; - -private: - socket_t sock_; - time_t read_timeout_sec_; - time_t read_timeout_usec_; - time_t write_timeout_sec_; - time_t write_timeout_usec_; - - std::vector read_buff_; - size_t read_buff_off_ = 0; - size_t read_buff_content_size_ = 0; - - static const size_t read_buff_size_ = 1024 * 4; -}; - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -class SSLSocketStream : public Stream { -public: - SSLSocketStream(socket_t sock, SSL *ssl, time_t read_timeout_sec, - time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec); - ~SSLSocketStream() override; - - bool is_readable() const override; - bool is_writable() const override; - ssize_t read(char *ptr, size_t size) override; - ssize_t write(const char *ptr, size_t size) override; - void get_remote_ip_and_port(std::string &ip, int &port) const override; - void get_local_ip_and_port(std::string &ip, int &port) const override; - socket_t socket() const override; - -private: - socket_t sock_; - SSL *ssl_; - time_t read_timeout_sec_; - time_t read_timeout_usec_; - time_t write_timeout_sec_; - time_t write_timeout_usec_; -}; -#endif - -inline bool keep_alive(socket_t sock, time_t keep_alive_timeout_sec) { - using namespace std::chrono; - auto start = steady_clock::now(); - while (true) { - auto val = select_read(sock, 0, 10000); - if (val < 0) { - return false; - } else if (val == 0) { - auto current = steady_clock::now(); - auto duration = duration_cast(current - start); - auto timeout = keep_alive_timeout_sec * 1000; - if (duration.count() > timeout) { return false; } - std::this_thread::sleep_for(std::chrono::milliseconds(1)); - } else { - return true; - } - } -} - -template -inline bool -process_server_socket_core(const std::atomic &svr_sock, socket_t sock, - size_t keep_alive_max_count, - time_t keep_alive_timeout_sec, T callback) { - assert(keep_alive_max_count > 0); - auto ret = false; - auto count = keep_alive_max_count; - while (svr_sock != INVALID_SOCKET && count > 0 && - keep_alive(sock, keep_alive_timeout_sec)) { - auto close_connection = count == 1; - auto connection_closed = false; - ret = callback(close_connection, connection_closed); - if (!ret || connection_closed) { break; } - count--; - } - return ret; -} - -template -inline bool -process_server_socket(const std::atomic &svr_sock, socket_t sock, - size_t keep_alive_max_count, - time_t keep_alive_timeout_sec, time_t read_timeout_sec, - time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, T callback) { - return process_server_socket_core( - svr_sock, sock, keep_alive_max_count, keep_alive_timeout_sec, - [&](bool close_connection, bool &connection_closed) { - SocketStream strm(sock, read_timeout_sec, read_timeout_usec, - write_timeout_sec, write_timeout_usec); - return callback(strm, close_connection, connection_closed); - }); -} - -inline bool process_client_socket(socket_t sock, time_t read_timeout_sec, - time_t read_timeout_usec, - time_t write_timeout_sec, - time_t write_timeout_usec, - std::function callback) { - SocketStream strm(sock, read_timeout_sec, read_timeout_usec, - write_timeout_sec, write_timeout_usec); - return callback(strm); -} - -inline int shutdown_socket(socket_t sock) { -#ifdef _WIN32 - return shutdown(sock, SD_BOTH); -#else - return shutdown(sock, SHUT_RDWR); -#endif -} - -template -socket_t create_socket(const std::string &host, const std::string &ip, int port, - int address_family, int socket_flags, bool tcp_nodelay, - SocketOptions socket_options, - BindOrConnect bind_or_connect) { - // Get address info - const char *node = nullptr; - struct addrinfo hints; - struct addrinfo *result; - - memset(&hints, 0, sizeof(struct addrinfo)); - hints.ai_socktype = SOCK_STREAM; - hints.ai_protocol = 0; - - if (!ip.empty()) { - node = ip.c_str(); - // Ask getaddrinfo to convert IP in c-string to address - hints.ai_family = AF_UNSPEC; - hints.ai_flags = AI_NUMERICHOST; - } else { - if (!host.empty()) { node = host.c_str(); } - hints.ai_family = address_family; - hints.ai_flags = socket_flags; - } - -#ifndef _WIN32 - if (hints.ai_family == AF_UNIX) { - const auto addrlen = host.length(); - if (addrlen > sizeof(sockaddr_un::sun_path)) return INVALID_SOCKET; - - auto sock = socket(hints.ai_family, hints.ai_socktype, hints.ai_protocol); - if (sock != INVALID_SOCKET) { - sockaddr_un addr{}; - addr.sun_family = AF_UNIX; - std::copy(host.begin(), host.end(), addr.sun_path); - - hints.ai_addr = reinterpret_cast(&addr); - hints.ai_addrlen = static_cast( - sizeof(addr) - sizeof(addr.sun_path) + addrlen); - - fcntl(sock, F_SETFD, FD_CLOEXEC); - if (socket_options) { socket_options(sock); } - - if (!bind_or_connect(sock, hints)) { - close_socket(sock); - sock = INVALID_SOCKET; - } - } - return sock; - } -#endif - - auto service = std::to_string(port); - - if (getaddrinfo(node, service.c_str(), &hints, &result)) { -#if defined __linux__ && !defined __ANDROID__ - res_init(); -#endif - return INVALID_SOCKET; - } - - for (auto rp = result; rp; rp = rp->ai_next) { - // Create a socket -#ifdef _WIN32 - auto sock = - WSASocketW(rp->ai_family, rp->ai_socktype, rp->ai_protocol, nullptr, 0, - WSA_FLAG_NO_HANDLE_INHERIT | WSA_FLAG_OVERLAPPED); - /** - * Since the WSA_FLAG_NO_HANDLE_INHERIT is only supported on Windows 7 SP1 - * and above the socket creation fails on older Windows Systems. - * - * Let's try to create a socket the old way in this case. - * - * Reference: - * https://docs.microsoft.com/en-us/windows/win32/api/winsock2/nf-winsock2-wsasocketa - * - * WSA_FLAG_NO_HANDLE_INHERIT: - * This flag is supported on Windows 7 with SP1, Windows Server 2008 R2 with - * SP1, and later - * - */ - if (sock == INVALID_SOCKET) { - sock = socket(rp->ai_family, rp->ai_socktype, rp->ai_protocol); - } -#else - auto sock = socket(rp->ai_family, rp->ai_socktype, rp->ai_protocol); -#endif - if (sock == INVALID_SOCKET) { continue; } - -#ifndef _WIN32 - if (fcntl(sock, F_SETFD, FD_CLOEXEC) == -1) { - close_socket(sock); - continue; - } -#endif - - if (tcp_nodelay) { - int yes = 1; - setsockopt(sock, IPPROTO_TCP, TCP_NODELAY, reinterpret_cast(&yes), - sizeof(yes)); - } - - if (socket_options) { socket_options(sock); } - - if (rp->ai_family == AF_INET6) { - int no = 0; - setsockopt(sock, IPPROTO_IPV6, IPV6_V6ONLY, reinterpret_cast(&no), - sizeof(no)); - } - - // bind or connect - if (bind_or_connect(sock, *rp)) { - freeaddrinfo(result); - return sock; - } - - close_socket(sock); - } - - freeaddrinfo(result); - return INVALID_SOCKET; -} - -inline void set_nonblocking(socket_t sock, bool nonblocking) { -#ifdef _WIN32 - auto flags = nonblocking ? 1UL : 0UL; - ioctlsocket(sock, FIONBIO, &flags); -#else - auto flags = fcntl(sock, F_GETFL, 0); - fcntl(sock, F_SETFL, - nonblocking ? (flags | O_NONBLOCK) : (flags & (~O_NONBLOCK))); -#endif -} - -inline bool is_connection_error() { -#ifdef _WIN32 - return WSAGetLastError() != WSAEWOULDBLOCK; -#else - return errno != EINPROGRESS; -#endif -} - -inline bool bind_ip_address(socket_t sock, const std::string &host) { - struct addrinfo hints; - struct addrinfo *result; - - memset(&hints, 0, sizeof(struct addrinfo)); - hints.ai_family = AF_UNSPEC; - hints.ai_socktype = SOCK_STREAM; - hints.ai_protocol = 0; - - if (getaddrinfo(host.c_str(), "0", &hints, &result)) { return false; } - - auto ret = false; - for (auto rp = result; rp; rp = rp->ai_next) { - const auto &ai = *rp; - if (!::bind(sock, ai.ai_addr, static_cast(ai.ai_addrlen))) { - ret = true; - break; - } - } - - freeaddrinfo(result); - return ret; -} - -#if !defined _WIN32 && !defined ANDROID && !defined _AIX -#define USE_IF2IP -#endif - -#ifdef USE_IF2IP -inline std::string if2ip(int address_family, const std::string &ifn) { - struct ifaddrs *ifap; - getifaddrs(&ifap); - std::string addr_candidate; - for (auto ifa = ifap; ifa; ifa = ifa->ifa_next) { - if (ifa->ifa_addr && ifn == ifa->ifa_name && - (AF_UNSPEC == address_family || - ifa->ifa_addr->sa_family == address_family)) { - if (ifa->ifa_addr->sa_family == AF_INET) { - auto sa = reinterpret_cast(ifa->ifa_addr); - char buf[INET_ADDRSTRLEN]; - if (inet_ntop(AF_INET, &sa->sin_addr, buf, INET_ADDRSTRLEN)) { - freeifaddrs(ifap); - return std::string(buf, INET_ADDRSTRLEN); - } - } else if (ifa->ifa_addr->sa_family == AF_INET6) { - auto sa = reinterpret_cast(ifa->ifa_addr); - if (!IN6_IS_ADDR_LINKLOCAL(&sa->sin6_addr)) { - char buf[INET6_ADDRSTRLEN] = {}; - if (inet_ntop(AF_INET6, &sa->sin6_addr, buf, INET6_ADDRSTRLEN)) { - // equivalent to mac's IN6_IS_ADDR_UNIQUE_LOCAL - auto s6_addr_head = sa->sin6_addr.s6_addr[0]; - if (s6_addr_head == 0xfc || s6_addr_head == 0xfd) { - addr_candidate = std::string(buf, INET6_ADDRSTRLEN); - } else { - freeifaddrs(ifap); - return std::string(buf, INET6_ADDRSTRLEN); - } - } - } - } - } - } - freeifaddrs(ifap); - return addr_candidate; -} -#endif - -inline socket_t create_client_socket( - const std::string &host, const std::string &ip, int port, - int address_family, bool tcp_nodelay, SocketOptions socket_options, - time_t connection_timeout_sec, time_t connection_timeout_usec, - time_t read_timeout_sec, time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, const std::string &intf, Error &error) { - auto sock = create_socket( - host, ip, port, address_family, 0, tcp_nodelay, std::move(socket_options), - [&](socket_t sock2, struct addrinfo &ai) -> bool { - if (!intf.empty()) { -#ifdef USE_IF2IP - auto ip_from_if = if2ip(address_family, intf); - if (ip_from_if.empty()) { ip_from_if = intf; } - if (!bind_ip_address(sock2, ip_from_if.c_str())) { - error = Error::BindIPAddress; - return false; - } -#endif - } - - set_nonblocking(sock2, true); - - auto ret = - ::connect(sock2, ai.ai_addr, static_cast(ai.ai_addrlen)); - - if (ret < 0) { - if (is_connection_error()) { - error = Error::Connection; - return false; - } - error = wait_until_socket_is_ready(sock2, connection_timeout_sec, - connection_timeout_usec); - if (error != Error::Success) { return false; } - } - - set_nonblocking(sock2, false); - - { -#ifdef _WIN32 - auto timeout = static_cast(read_timeout_sec * 1000 + - read_timeout_usec / 1000); - setsockopt(sock2, SOL_SOCKET, SO_RCVTIMEO, (char *)&timeout, - sizeof(timeout)); -#else - timeval tv; - tv.tv_sec = static_cast(read_timeout_sec); - tv.tv_usec = static_cast(read_timeout_usec); - setsockopt(sock2, SOL_SOCKET, SO_RCVTIMEO, (char *)&tv, sizeof(tv)); -#endif - } - { - -#ifdef _WIN32 - auto timeout = static_cast(write_timeout_sec * 1000 + - write_timeout_usec / 1000); - setsockopt(sock2, SOL_SOCKET, SO_SNDTIMEO, (char *)&timeout, - sizeof(timeout)); -#else - timeval tv; - tv.tv_sec = static_cast(write_timeout_sec); - tv.tv_usec = static_cast(write_timeout_usec); - setsockopt(sock2, SOL_SOCKET, SO_SNDTIMEO, (char *)&tv, sizeof(tv)); -#endif - } - - error = Error::Success; - return true; - }); - - if (sock != INVALID_SOCKET) { - error = Error::Success; - } else { - if (error == Error::Success) { error = Error::Connection; } - } - - return sock; -} - -inline bool get_ip_and_port(const struct sockaddr_storage &addr, - socklen_t addr_len, std::string &ip, int &port) { - if (addr.ss_family == AF_INET) { - port = ntohs(reinterpret_cast(&addr)->sin_port); - } else if (addr.ss_family == AF_INET6) { - port = - ntohs(reinterpret_cast(&addr)->sin6_port); - } else { - return false; - } - - std::array ipstr{}; - if (getnameinfo(reinterpret_cast(&addr), addr_len, - ipstr.data(), static_cast(ipstr.size()), nullptr, - 0, NI_NUMERICHOST)) { - return false; - } - - ip = ipstr.data(); - return true; -} - -inline void get_local_ip_and_port(socket_t sock, std::string &ip, int &port) { - struct sockaddr_storage addr; - socklen_t addr_len = sizeof(addr); - if (!getsockname(sock, reinterpret_cast(&addr), - &addr_len)) { - get_ip_and_port(addr, addr_len, ip, port); - } -} - -inline void get_remote_ip_and_port(socket_t sock, std::string &ip, int &port) { - struct sockaddr_storage addr; - socklen_t addr_len = sizeof(addr); - - if (!getpeername(sock, reinterpret_cast(&addr), - &addr_len)) { -#ifndef _WIN32 - if (addr.ss_family == AF_UNIX) { -#if defined(__linux__) - struct ucred ucred; - socklen_t len = sizeof(ucred); - if (getsockopt(sock, SOL_SOCKET, SO_PEERCRED, &ucred, &len) == 0) { - port = ucred.pid; - } -#elif defined(SOL_LOCAL) && defined(SO_PEERPID) // __APPLE__ - pid_t pid; - socklen_t len = sizeof(pid); - if (getsockopt(sock, SOL_LOCAL, SO_PEERPID, &pid, &len) == 0) { - port = pid; - } -#endif - return; - } -#endif - get_ip_and_port(addr, addr_len, ip, port); - } -} - -inline constexpr unsigned int str2tag_core(const char *s, size_t l, - unsigned int h) { - return (l == 0) - ? h - : str2tag_core( - s + 1, l - 1, - // Unsets the 6 high bits of h, therefore no overflow happens - (((std::numeric_limits::max)() >> 6) & - h * 33) ^ - static_cast(*s)); -} - -inline unsigned int str2tag(const std::string &s) { - return str2tag_core(s.data(), s.size(), 0); -} - -namespace udl { - -inline constexpr unsigned int operator"" _t(const char *s, size_t l) { - return str2tag_core(s, l, 0); -} - -} // namespace udl - -inline const char * -find_content_type(const std::string &path, - const std::map &user_data) { - auto ext = file_extension(path); - - auto it = user_data.find(ext); - if (it != user_data.end()) { return it->second.c_str(); } - - using udl::operator""_t; - - switch (str2tag(ext)) { - default: return nullptr; - case "css"_t: return "text/css"; - case "csv"_t: return "text/csv"; - case "htm"_t: - case "html"_t: return "text/html"; - case "js"_t: - case "mjs"_t: return "text/javascript"; - case "txt"_t: return "text/plain"; - case "vtt"_t: return "text/vtt"; - - case "apng"_t: return "image/apng"; - case "avif"_t: return "image/avif"; - case "bmp"_t: return "image/bmp"; - case "gif"_t: return "image/gif"; - case "png"_t: return "image/png"; - case "svg"_t: return "image/svg+xml"; - case "webp"_t: return "image/webp"; - case "ico"_t: return "image/x-icon"; - case "tif"_t: return "image/tiff"; - case "tiff"_t: return "image/tiff"; - case "jpg"_t: - case "jpeg"_t: return "image/jpeg"; - - case "mp4"_t: return "video/mp4"; - case "mpeg"_t: return "video/mpeg"; - case "webm"_t: return "video/webm"; - - case "mp3"_t: return "audio/mp3"; - case "mpga"_t: return "audio/mpeg"; - case "weba"_t: return "audio/webm"; - case "wav"_t: return "audio/wave"; - - case "otf"_t: return "font/otf"; - case "ttf"_t: return "font/ttf"; - case "woff"_t: return "font/woff"; - case "woff2"_t: return "font/woff2"; - - case "7z"_t: return "application/x-7z-compressed"; - case "atom"_t: return "application/atom+xml"; - case "pdf"_t: return "application/pdf"; - case "json"_t: return "application/json"; - case "rss"_t: return "application/rss+xml"; - case "tar"_t: return "application/x-tar"; - case "xht"_t: - case "xhtml"_t: return "application/xhtml+xml"; - case "xslt"_t: return "application/xslt+xml"; - case "xml"_t: return "application/xml"; - case "gz"_t: return "application/gzip"; - case "zip"_t: return "application/zip"; - case "wasm"_t: return "application/wasm"; - } -} - -inline const char *status_message(int status) { - switch (status) { - case 100: return "Continue"; - case 101: return "Switching Protocol"; - case 102: return "Processing"; - case 103: return "Early Hints"; - case 200: return "OK"; - case 201: return "Created"; - case 202: return "Accepted"; - case 203: return "Non-Authoritative Information"; - case 204: return "No Content"; - case 205: return "Reset Content"; - case 206: return "Partial Content"; - case 207: return "Multi-Status"; - case 208: return "Already Reported"; - case 226: return "IM Used"; - case 300: return "Multiple Choice"; - case 301: return "Moved Permanently"; - case 302: return "Found"; - case 303: return "See Other"; - case 304: return "Not Modified"; - case 305: return "Use Proxy"; - case 306: return "unused"; - case 307: return "Temporary Redirect"; - case 308: return "Permanent Redirect"; - case 400: return "Bad Request"; - case 401: return "Unauthorized"; - case 402: return "Payment Required"; - case 403: return "Forbidden"; - case 404: return "Not Found"; - case 405: return "Method Not Allowed"; - case 406: return "Not Acceptable"; - case 407: return "Proxy Authentication Required"; - case 408: return "Request Timeout"; - case 409: return "Conflict"; - case 410: return "Gone"; - case 411: return "Length Required"; - case 412: return "Precondition Failed"; - case 413: return "Payload Too Large"; - case 414: return "URI Too Long"; - case 415: return "Unsupported Media Type"; - case 416: return "Range Not Satisfiable"; - case 417: return "Expectation Failed"; - case 418: return "I'm a teapot"; - case 421: return "Misdirected Request"; - case 422: return "Unprocessable Entity"; - case 423: return "Locked"; - case 424: return "Failed Dependency"; - case 425: return "Too Early"; - case 426: return "Upgrade Required"; - case 428: return "Precondition Required"; - case 429: return "Too Many Requests"; - case 431: return "Request Header Fields Too Large"; - case 451: return "Unavailable For Legal Reasons"; - case 501: return "Not Implemented"; - case 502: return "Bad Gateway"; - case 503: return "Service Unavailable"; - case 504: return "Gateway Timeout"; - case 505: return "HTTP Version Not Supported"; - case 506: return "Variant Also Negotiates"; - case 507: return "Insufficient Storage"; - case 508: return "Loop Detected"; - case 510: return "Not Extended"; - case 511: return "Network Authentication Required"; - - default: - case 500: return "Internal Server Error"; - } -} - -inline bool can_compress_content_type(const std::string &content_type) { - using udl::operator""_t; - - auto tag = str2tag(content_type); - - switch (tag) { - case "image/svg+xml"_t: - case "application/javascript"_t: - case "application/json"_t: - case "application/xml"_t: - case "application/protobuf"_t: - case "application/xhtml+xml"_t: return true; - - default: - return !content_type.rfind("text/", 0) && tag != "text/event-stream"_t; - } -} - -inline EncodingType encoding_type(const Request &req, const Response &res) { - auto ret = - detail::can_compress_content_type(res.get_header_value("Content-Type")); - if (!ret) { return EncodingType::None; } - - const auto &s = req.get_header_value("Accept-Encoding"); - (void)(s); - -#ifdef CPPHTTPLIB_BROTLI_SUPPORT - // TODO: 'Accept-Encoding' has br, not br;q=0 - ret = s.find("br") != std::string::npos; - if (ret) { return EncodingType::Brotli; } -#endif - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - // TODO: 'Accept-Encoding' has gzip, not gzip;q=0 - ret = s.find("gzip") != std::string::npos; - if (ret) { return EncodingType::Gzip; } -#endif - - return EncodingType::None; -} - -inline bool nocompressor::compress(const char *data, size_t data_length, - bool /*last*/, Callback callback) { - if (!data_length) { return true; } - return callback(data, data_length); -} - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT -inline gzip_compressor::gzip_compressor() { - std::memset(&strm_, 0, sizeof(strm_)); - strm_.zalloc = Z_NULL; - strm_.zfree = Z_NULL; - strm_.opaque = Z_NULL; - - is_valid_ = deflateInit2(&strm_, Z_DEFAULT_COMPRESSION, Z_DEFLATED, 31, 8, - Z_DEFAULT_STRATEGY) == Z_OK; -} - -inline gzip_compressor::~gzip_compressor() { deflateEnd(&strm_); } - -inline bool gzip_compressor::compress(const char *data, size_t data_length, - bool last, Callback callback) { - assert(is_valid_); - - do { - constexpr size_t max_avail_in = - (std::numeric_limits::max)(); - - strm_.avail_in = static_cast( - (std::min)(data_length, max_avail_in)); - strm_.next_in = const_cast(reinterpret_cast(data)); - - data_length -= strm_.avail_in; - data += strm_.avail_in; - - auto flush = (last && data_length == 0) ? Z_FINISH : Z_NO_FLUSH; - int ret = Z_OK; - - std::array buff{}; - do { - strm_.avail_out = static_cast(buff.size()); - strm_.next_out = reinterpret_cast(buff.data()); - - ret = deflate(&strm_, flush); - if (ret == Z_STREAM_ERROR) { return false; } - - if (!callback(buff.data(), buff.size() - strm_.avail_out)) { - return false; - } - } while (strm_.avail_out == 0); - - assert((flush == Z_FINISH && ret == Z_STREAM_END) || - (flush == Z_NO_FLUSH && ret == Z_OK)); - assert(strm_.avail_in == 0); - } while (data_length > 0); - - return true; -} - -inline gzip_decompressor::gzip_decompressor() { - std::memset(&strm_, 0, sizeof(strm_)); - strm_.zalloc = Z_NULL; - strm_.zfree = Z_NULL; - strm_.opaque = Z_NULL; - - // 15 is the value of wbits, which should be at the maximum possible value - // to ensure that any gzip stream can be decoded. The offset of 32 specifies - // that the stream type should be automatically detected either gzip or - // deflate. - is_valid_ = inflateInit2(&strm_, 32 + 15) == Z_OK; -} - -inline gzip_decompressor::~gzip_decompressor() { inflateEnd(&strm_); } - -inline bool gzip_decompressor::is_valid() const { return is_valid_; } - -inline bool gzip_decompressor::decompress(const char *data, size_t data_length, - Callback callback) { - assert(is_valid_); - - int ret = Z_OK; - - do { - constexpr size_t max_avail_in = - (std::numeric_limits::max)(); - - strm_.avail_in = static_cast( - (std::min)(data_length, max_avail_in)); - strm_.next_in = const_cast(reinterpret_cast(data)); - - data_length -= strm_.avail_in; - data += strm_.avail_in; - - std::array buff{}; - while (strm_.avail_in > 0) { - strm_.avail_out = static_cast(buff.size()); - strm_.next_out = reinterpret_cast(buff.data()); - - auto prev_avail_in = strm_.avail_in; - - ret = inflate(&strm_, Z_NO_FLUSH); - - if (prev_avail_in - strm_.avail_in == 0) { return false; } - - assert(ret != Z_STREAM_ERROR); - switch (ret) { - case Z_NEED_DICT: - case Z_DATA_ERROR: - case Z_MEM_ERROR: inflateEnd(&strm_); return false; - } - - if (!callback(buff.data(), buff.size() - strm_.avail_out)) { - return false; - } - } - - if (ret != Z_OK && ret != Z_STREAM_END) return false; - - } while (data_length > 0); - - return true; -} -#endif - -#ifdef CPPHTTPLIB_BROTLI_SUPPORT -inline brotli_compressor::brotli_compressor() { - state_ = BrotliEncoderCreateInstance(nullptr, nullptr, nullptr); -} - -inline brotli_compressor::~brotli_compressor() { - BrotliEncoderDestroyInstance(state_); -} - -inline bool brotli_compressor::compress(const char *data, size_t data_length, - bool last, Callback callback) { - std::array buff{}; - - auto operation = last ? BROTLI_OPERATION_FINISH : BROTLI_OPERATION_PROCESS; - auto available_in = data_length; - auto next_in = reinterpret_cast(data); - - for (;;) { - if (last) { - if (BrotliEncoderIsFinished(state_)) { break; } - } else { - if (!available_in) { break; } - } - - auto available_out = buff.size(); - auto next_out = buff.data(); - - if (!BrotliEncoderCompressStream(state_, operation, &available_in, &next_in, - &available_out, &next_out, nullptr)) { - return false; - } - - auto output_bytes = buff.size() - available_out; - if (output_bytes) { - callback(reinterpret_cast(buff.data()), output_bytes); - } - } - - return true; -} - -inline brotli_decompressor::brotli_decompressor() { - decoder_s = BrotliDecoderCreateInstance(0, 0, 0); - decoder_r = decoder_s ? BROTLI_DECODER_RESULT_NEEDS_MORE_INPUT - : BROTLI_DECODER_RESULT_ERROR; -} - -inline brotli_decompressor::~brotli_decompressor() { - if (decoder_s) { BrotliDecoderDestroyInstance(decoder_s); } -} - -inline bool brotli_decompressor::is_valid() const { return decoder_s; } - -inline bool brotli_decompressor::decompress(const char *data, - size_t data_length, - Callback callback) { - if (decoder_r == BROTLI_DECODER_RESULT_SUCCESS || - decoder_r == BROTLI_DECODER_RESULT_ERROR) { - return 0; - } - - const uint8_t *next_in = (const uint8_t *)data; - size_t avail_in = data_length; - size_t total_out; - - decoder_r = BROTLI_DECODER_RESULT_NEEDS_MORE_OUTPUT; - - std::array buff{}; - while (decoder_r == BROTLI_DECODER_RESULT_NEEDS_MORE_OUTPUT) { - char *next_out = buff.data(); - size_t avail_out = buff.size(); - - decoder_r = BrotliDecoderDecompressStream( - decoder_s, &avail_in, &next_in, &avail_out, - reinterpret_cast(&next_out), &total_out); - - if (decoder_r == BROTLI_DECODER_RESULT_ERROR) { return false; } - - if (!callback(buff.data(), buff.size() - avail_out)) { return false; } - } - - return decoder_r == BROTLI_DECODER_RESULT_SUCCESS || - decoder_r == BROTLI_DECODER_RESULT_NEEDS_MORE_INPUT; -} -#endif - -inline bool has_header(const Headers &headers, const std::string &key) { - return headers.find(key) != headers.end(); -} - -inline const char *get_header_value(const Headers &headers, - const std::string &key, size_t id, - const char *def) { - auto rng = headers.equal_range(key); - auto it = rng.first; - std::advance(it, static_cast(id)); - if (it != rng.second) { return it->second.c_str(); } - return def; -} - -inline bool compare_case_ignore(const std::string &a, const std::string &b) { - if (a.size() != b.size()) { return false; } - for (size_t i = 0; i < b.size(); i++) { - if (::tolower(a[i]) != ::tolower(b[i])) { return false; } - } - return true; -} - -template -inline bool parse_header(const char *beg, const char *end, T fn) { - // Skip trailing spaces and tabs. - while (beg < end && is_space_or_tab(end[-1])) { - end--; - } - - auto p = beg; - while (p < end && *p != ':') { - p++; - } - - if (p == end) { return false; } - - auto key_end = p; - - if (*p++ != ':') { return false; } - - while (p < end && is_space_or_tab(*p)) { - p++; - } - - if (p < end) { - auto key = std::string(beg, key_end); - auto val = compare_case_ignore(key, "Location") - ? std::string(p, end) - : decode_url(std::string(p, end), false); - fn(std::move(key), std::move(val)); - return true; - } - - return false; -} - -inline bool read_headers(Stream &strm, Headers &headers) { - const auto bufsiz = 2048; - char buf[bufsiz]; - stream_line_reader line_reader(strm, buf, bufsiz); - - for (;;) { - if (!line_reader.getline()) { return false; } - - // Check if the line ends with CRLF. - auto line_terminator_len = 2; - if (line_reader.end_with_crlf()) { - // Blank line indicates end of headers. - if (line_reader.size() == 2) { break; } -#ifdef CPPHTTPLIB_ALLOW_LF_AS_LINE_TERMINATOR - } else { - // Blank line indicates end of headers. - if (line_reader.size() == 1) { break; } - line_terminator_len = 1; - } -#else - } else { - continue; // Skip invalid line. - } -#endif - - if (line_reader.size() > CPPHTTPLIB_HEADER_MAX_LENGTH) { return false; } - - // Exclude line terminator - auto end = line_reader.ptr() + line_reader.size() - line_terminator_len; - - parse_header(line_reader.ptr(), end, - [&](std::string &&key, std::string &&val) { - headers.emplace(std::move(key), std::move(val)); - }); - } - - return true; -} - -inline bool read_content_with_length(Stream &strm, uint64_t len, - Progress progress, - ContentReceiverWithProgress out) { - char buf[CPPHTTPLIB_RECV_BUFSIZ]; - - uint64_t r = 0; - while (r < len) { - auto read_len = static_cast(len - r); - auto n = strm.read(buf, (std::min)(read_len, CPPHTTPLIB_RECV_BUFSIZ)); - if (n <= 0) { return false; } - - if (!out(buf, static_cast(n), r, len)) { return false; } - r += static_cast(n); - - if (progress) { - if (!progress(r, len)) { return false; } - } - } - - return true; -} - -inline void skip_content_with_length(Stream &strm, uint64_t len) { - char buf[CPPHTTPLIB_RECV_BUFSIZ]; - uint64_t r = 0; - while (r < len) { - auto read_len = static_cast(len - r); - auto n = strm.read(buf, (std::min)(read_len, CPPHTTPLIB_RECV_BUFSIZ)); - if (n <= 0) { return; } - r += static_cast(n); - } -} - -inline bool read_content_without_length(Stream &strm, - ContentReceiverWithProgress out) { - char buf[CPPHTTPLIB_RECV_BUFSIZ]; - uint64_t r = 0; - for (;;) { - auto n = strm.read(buf, CPPHTTPLIB_RECV_BUFSIZ); - if (n < 0) { - return false; - } else if (n == 0) { - return true; - } - - if (!out(buf, static_cast(n), r, 0)) { return false; } - r += static_cast(n); - } - - return true; -} - -template -inline bool read_content_chunked(Stream &strm, T &x, - ContentReceiverWithProgress out) { - const auto bufsiz = 16; - char buf[bufsiz]; - - stream_line_reader line_reader(strm, buf, bufsiz); - - if (!line_reader.getline()) { return false; } - - unsigned long chunk_len; - while (true) { - char *end_ptr; - - chunk_len = std::strtoul(line_reader.ptr(), &end_ptr, 16); - - if (end_ptr == line_reader.ptr()) { return false; } - if (chunk_len == ULONG_MAX) { return false; } - - if (chunk_len == 0) { break; } - - if (!read_content_with_length(strm, chunk_len, nullptr, out)) { - return false; - } - - if (!line_reader.getline()) { return false; } - - if (strcmp(line_reader.ptr(), "\r\n")) { return false; } - - if (!line_reader.getline()) { return false; } - } - - assert(chunk_len == 0); - - // Trailer - if (!line_reader.getline()) { return false; } - - while (strcmp(line_reader.ptr(), "\r\n")) { - if (line_reader.size() > CPPHTTPLIB_HEADER_MAX_LENGTH) { return false; } - - // Exclude line terminator - constexpr auto line_terminator_len = 2; - auto end = line_reader.ptr() + line_reader.size() - line_terminator_len; - - parse_header(line_reader.ptr(), end, - [&](std::string &&key, std::string &&val) { - x.headers.emplace(std::move(key), std::move(val)); - }); - - if (!line_reader.getline()) { return false; } - } - - return true; -} - -inline bool is_chunked_transfer_encoding(const Headers &headers) { - return !strcasecmp(get_header_value(headers, "Transfer-Encoding", 0, ""), - "chunked"); -} - -template -bool prepare_content_receiver(T &x, int &status, - ContentReceiverWithProgress receiver, - bool decompress, U callback) { - if (decompress) { - std::string encoding = x.get_header_value("Content-Encoding"); - std::unique_ptr decompressor; - - if (encoding == "gzip" || encoding == "deflate") { -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - decompressor = detail::make_unique(); -#else - status = 415; - return false; -#endif - } else if (encoding.find("br") != std::string::npos) { -#ifdef CPPHTTPLIB_BROTLI_SUPPORT - decompressor = detail::make_unique(); -#else - status = 415; - return false; -#endif - } - - if (decompressor) { - if (decompressor->is_valid()) { - ContentReceiverWithProgress out = [&](const char *buf, size_t n, - uint64_t off, uint64_t len) { - return decompressor->decompress(buf, n, - [&](const char *buf2, size_t n2) { - return receiver(buf2, n2, off, len); - }); - }; - return callback(std::move(out)); - } else { - status = 500; - return false; - } - } - } - - ContentReceiverWithProgress out = [&](const char *buf, size_t n, uint64_t off, - uint64_t len) { - return receiver(buf, n, off, len); - }; - return callback(std::move(out)); -} - -template -bool read_content(Stream &strm, T &x, size_t payload_max_length, int &status, - Progress progress, ContentReceiverWithProgress receiver, - bool decompress) { - return prepare_content_receiver( - x, status, std::move(receiver), decompress, - [&](const ContentReceiverWithProgress &out) { - auto ret = true; - auto exceed_payload_max_length = false; - - if (is_chunked_transfer_encoding(x.headers)) { - ret = read_content_chunked(strm, x, out); - } else if (!has_header(x.headers, "Content-Length")) { - ret = read_content_without_length(strm, out); - } else { - auto len = get_header_value(x.headers, "Content-Length"); - if (len > payload_max_length) { - exceed_payload_max_length = true; - skip_content_with_length(strm, len); - ret = false; - } else if (len > 0) { - ret = read_content_with_length(strm, len, std::move(progress), out); - } - } - - if (!ret) { status = exceed_payload_max_length ? 413 : 400; } - return ret; - }); -} // namespace detail - -inline ssize_t write_headers(Stream &strm, const Headers &headers) { - ssize_t write_len = 0; - for (const auto &x : headers) { - auto len = - strm.write_format("%s: %s\r\n", x.first.c_str(), x.second.c_str()); - if (len < 0) { return len; } - write_len += len; - } - auto len = strm.write("\r\n"); - if (len < 0) { return len; } - write_len += len; - return write_len; -} - -inline bool write_data(Stream &strm, const char *d, size_t l) { - size_t offset = 0; - while (offset < l) { - auto length = strm.write(d + offset, l - offset); - if (length < 0) { return false; } - offset += static_cast(length); - } - return true; -} - -template -inline bool write_content(Stream &strm, const ContentProvider &content_provider, - size_t offset, size_t length, T is_shutting_down, - Error &error) { - size_t end_offset = offset + length; - auto ok = true; - DataSink data_sink; - - data_sink.write = [&](const char *d, size_t l) -> bool { - if (ok) { - if (strm.is_writable() && write_data(strm, d, l)) { - offset += l; - } else { - ok = false; - } - } - return ok; - }; - - while (offset < end_offset && !is_shutting_down()) { - if (!strm.is_writable()) { - error = Error::Write; - return false; - } else if (!content_provider(offset, end_offset - offset, data_sink)) { - error = Error::Canceled; - return false; - } else if (!ok) { - error = Error::Write; - return false; - } - } - - error = Error::Success; - return true; -} - -template -inline bool write_content(Stream &strm, const ContentProvider &content_provider, - size_t offset, size_t length, - const T &is_shutting_down) { - auto error = Error::Success; - return write_content(strm, content_provider, offset, length, is_shutting_down, - error); -} - -template -inline bool -write_content_without_length(Stream &strm, - const ContentProvider &content_provider, - const T &is_shutting_down) { - size_t offset = 0; - auto data_available = true; - auto ok = true; - DataSink data_sink; - - data_sink.write = [&](const char *d, size_t l) -> bool { - if (ok) { - offset += l; - if (!strm.is_writable() || !write_data(strm, d, l)) { ok = false; } - } - return ok; - }; - - data_sink.done = [&](void) { data_available = false; }; - - while (data_available && !is_shutting_down()) { - if (!strm.is_writable()) { - return false; - } else if (!content_provider(offset, 0, data_sink)) { - return false; - } else if (!ok) { - return false; - } - } - return true; -} - -template -inline bool -write_content_chunked(Stream &strm, const ContentProvider &content_provider, - const T &is_shutting_down, U &compressor, Error &error) { - size_t offset = 0; - auto data_available = true; - auto ok = true; - DataSink data_sink; - - data_sink.write = [&](const char *d, size_t l) -> bool { - if (ok) { - data_available = l > 0; - offset += l; - - std::string payload; - if (compressor.compress(d, l, false, - [&](const char *data, size_t data_len) { - payload.append(data, data_len); - return true; - })) { - if (!payload.empty()) { - // Emit chunked response header and footer for each chunk - auto chunk = - from_i_to_hex(payload.size()) + "\r\n" + payload + "\r\n"; - if (!strm.is_writable() || - !write_data(strm, chunk.data(), chunk.size())) { - ok = false; - } - } - } else { - ok = false; - } - } - return ok; - }; - - auto done_with_trailer = [&](const Headers *trailer) { - if (!ok) { return; } - - data_available = false; - - std::string payload; - if (!compressor.compress(nullptr, 0, true, - [&](const char *data, size_t data_len) { - payload.append(data, data_len); - return true; - })) { - ok = false; - return; - } - - if (!payload.empty()) { - // Emit chunked response header and footer for each chunk - auto chunk = from_i_to_hex(payload.size()) + "\r\n" + payload + "\r\n"; - if (!strm.is_writable() || - !write_data(strm, chunk.data(), chunk.size())) { - ok = false; - return; - } - } - - static const std::string done_marker("0\r\n"); - if (!write_data(strm, done_marker.data(), done_marker.size())) { - ok = false; - } - - // Trailer - if (trailer) { - for (const auto &kv : *trailer) { - std::string field_line = kv.first + ": " + kv.second + "\r\n"; - if (!write_data(strm, field_line.data(), field_line.size())) { - ok = false; - } - } - } - - static const std::string crlf("\r\n"); - if (!write_data(strm, crlf.data(), crlf.size())) { ok = false; } - }; - - data_sink.done = [&](void) { done_with_trailer(nullptr); }; - - data_sink.done_with_trailer = [&](const Headers &trailer) { - done_with_trailer(&trailer); - }; - - while (data_available && !is_shutting_down()) { - if (!strm.is_writable()) { - error = Error::Write; - return false; - } else if (!content_provider(offset, 0, data_sink)) { - error = Error::Canceled; - return false; - } else if (!ok) { - error = Error::Write; - return false; - } - } - - error = Error::Success; - return true; -} - -template -inline bool write_content_chunked(Stream &strm, - const ContentProvider &content_provider, - const T &is_shutting_down, U &compressor) { - auto error = Error::Success; - return write_content_chunked(strm, content_provider, is_shutting_down, - compressor, error); -} - -template -inline bool redirect(T &cli, Request &req, Response &res, - const std::string &path, const std::string &location, - Error &error) { - Request new_req = req; - new_req.path = path; - new_req.redirect_count_ -= 1; - - if (res.status == 303 && (req.method != "GET" && req.method != "HEAD")) { - new_req.method = "GET"; - new_req.body.clear(); - new_req.headers.clear(); - } - - Response new_res; - - auto ret = cli.send(new_req, new_res, error); - if (ret) { - req = new_req; - res = new_res; - res.location = location; - } - return ret; -} - -inline std::string params_to_query_str(const Params ¶ms) { - std::string query; - - for (auto it = params.begin(); it != params.end(); ++it) { - if (it != params.begin()) { query += "&"; } - query += it->first; - query += "="; - query += encode_query_param(it->second); - } - return query; -} - -inline void parse_query_text(const std::string &s, Params ¶ms) { - std::set cache; - split(s.data(), s.data() + s.size(), '&', [&](const char *b, const char *e) { - std::string kv(b, e); - if (cache.find(kv) != cache.end()) { return; } - cache.insert(kv); - - std::string key; - std::string val; - split(b, e, '=', [&](const char *b2, const char *e2) { - if (key.empty()) { - key.assign(b2, e2); - } else { - val.assign(b2, e2); - } - }); - - if (!key.empty()) { - params.emplace(decode_url(key, true), decode_url(val, true)); - } - }); -} - -inline bool parse_multipart_boundary(const std::string &content_type, - std::string &boundary) { - auto boundary_keyword = "boundary="; - auto pos = content_type.find(boundary_keyword); - if (pos == std::string::npos) { return false; } - auto end = content_type.find(';', pos); - auto beg = pos + strlen(boundary_keyword); - boundary = content_type.substr(beg, end - beg); - if (boundary.length() >= 2 && boundary.front() == '"' && - boundary.back() == '"') { - boundary = boundary.substr(1, boundary.size() - 2); - } - return !boundary.empty(); -} - -#ifdef CPPHTTPLIB_NO_EXCEPTIONS -inline bool parse_range_header(const std::string &s, Ranges &ranges) { -#else -inline bool parse_range_header(const std::string &s, Ranges &ranges) try { -#endif - static auto re_first_range = std::regex(R"(bytes=(\d*-\d*(?:,\s*\d*-\d*)*))"); - std::smatch m; - if (std::regex_match(s, m, re_first_range)) { - auto pos = static_cast(m.position(1)); - auto len = static_cast(m.length(1)); - bool all_valid_ranges = true; - split(&s[pos], &s[pos + len], ',', [&](const char *b, const char *e) { - if (!all_valid_ranges) return; - static auto re_another_range = std::regex(R"(\s*(\d*)-(\d*))"); - std::cmatch cm; - if (std::regex_match(b, e, cm, re_another_range)) { - ssize_t first = -1; - if (!cm.str(1).empty()) { - first = static_cast(std::stoll(cm.str(1))); - } - - ssize_t last = -1; - if (!cm.str(2).empty()) { - last = static_cast(std::stoll(cm.str(2))); - } - - if (first != -1 && last != -1 && first > last) { - all_valid_ranges = false; - return; - } - ranges.emplace_back(std::make_pair(first, last)); - } - }); - return all_valid_ranges; - } - return false; -#ifdef CPPHTTPLIB_NO_EXCEPTIONS -} -#else -} catch (...) { return false; } -#endif - -class MultipartFormDataParser { -public: - MultipartFormDataParser() = default; - - void set_boundary(std::string &&boundary) { - boundary_ = boundary; - dash_boundary_crlf_ = dash_ + boundary_ + crlf_; - crlf_dash_boundary_ = crlf_ + dash_ + boundary_; - } - - bool is_valid() const { return is_valid_; } - - bool parse(const char *buf, size_t n, const ContentReceiver &content_callback, - const MultipartContentHeader &header_callback) { - - // TODO: support 'filename*' - static const std::regex re_content_disposition( - R"~(^Content-Disposition:\s*form-data;\s*name="(.*?)"(?:;\s*filename="(.*?)")?(?:;\s*filename\*=\S+)?\s*$)~", - std::regex_constants::icase); - - buf_append(buf, n); - - while (buf_size() > 0) { - switch (state_) { - case 0: { // Initial boundary - buf_erase(buf_find(dash_boundary_crlf_)); - if (dash_boundary_crlf_.size() > buf_size()) { return true; } - if (!buf_start_with(dash_boundary_crlf_)) { return false; } - buf_erase(dash_boundary_crlf_.size()); - state_ = 1; - break; - } - case 1: { // New entry - clear_file_info(); - state_ = 2; - break; - } - case 2: { // Headers - auto pos = buf_find(crlf_); - if (pos > CPPHTTPLIB_HEADER_MAX_LENGTH) { return false; } - while (pos < buf_size()) { - // Empty line - if (pos == 0) { - if (!header_callback(file_)) { - is_valid_ = false; - return false; - } - buf_erase(crlf_.size()); - state_ = 3; - break; - } - - static const std::string header_name = "content-type:"; - const auto header = buf_head(pos); - if (start_with_case_ignore(header, header_name)) { - file_.content_type = trim_copy(header.substr(header_name.size())); - } else { - std::smatch m; - if (std::regex_match(header, m, re_content_disposition)) { - file_.name = m[1]; - file_.filename = m[2]; - } else { - is_valid_ = false; - return false; - } - } - buf_erase(pos + crlf_.size()); - pos = buf_find(crlf_); - } - if (state_ != 3) { return true; } - break; - } - case 3: { // Body - if (crlf_dash_boundary_.size() > buf_size()) { return true; } - auto pos = buf_find(crlf_dash_boundary_); - if (pos < buf_size()) { - if (!content_callback(buf_data(), pos)) { - is_valid_ = false; - return false; - } - buf_erase(pos + crlf_dash_boundary_.size()); - state_ = 4; - } else { - auto len = buf_size() - crlf_dash_boundary_.size(); - if (len > 0) { - if (!content_callback(buf_data(), len)) { - is_valid_ = false; - return false; - } - buf_erase(len); - } - return true; - } - break; - } - case 4: { // Boundary - if (crlf_.size() > buf_size()) { return true; } - if (buf_start_with(crlf_)) { - buf_erase(crlf_.size()); - state_ = 1; - } else { - if (dash_crlf_.size() > buf_size()) { return true; } - if (buf_start_with(dash_crlf_)) { - buf_erase(dash_crlf_.size()); - is_valid_ = true; - buf_erase(buf_size()); // Remove epilogue - } else { - return true; - } - } - break; - } - } - } - - return true; - } - -private: - void clear_file_info() { - file_.name.clear(); - file_.filename.clear(); - file_.content_type.clear(); - } - - bool start_with_case_ignore(const std::string &a, - const std::string &b) const { - if (a.size() < b.size()) { return false; } - for (size_t i = 0; i < b.size(); i++) { - if (::tolower(a[i]) != ::tolower(b[i])) { return false; } - } - return true; - } - - const std::string dash_ = "--"; - const std::string crlf_ = "\r\n"; - const std::string dash_crlf_ = "--\r\n"; - std::string boundary_; - std::string dash_boundary_crlf_; - std::string crlf_dash_boundary_; - - size_t state_ = 0; - bool is_valid_ = false; - MultipartFormData file_; - - // Buffer - bool start_with(const std::string &a, size_t spos, size_t epos, - const std::string &b) const { - if (epos - spos < b.size()) { return false; } - for (size_t i = 0; i < b.size(); i++) { - if (a[i + spos] != b[i]) { return false; } - } - return true; - } - - size_t buf_size() const { return buf_epos_ - buf_spos_; } - - const char *buf_data() const { return &buf_[buf_spos_]; } - - std::string buf_head(size_t l) const { return buf_.substr(buf_spos_, l); } - - bool buf_start_with(const std::string &s) const { - return start_with(buf_, buf_spos_, buf_epos_, s); - } - - size_t buf_find(const std::string &s) const { - auto c = s.front(); - - size_t off = buf_spos_; - while (off < buf_epos_) { - auto pos = off; - while (true) { - if (pos == buf_epos_) { return buf_size(); } - if (buf_[pos] == c) { break; } - pos++; - } - - auto remaining_size = buf_epos_ - pos; - if (s.size() > remaining_size) { return buf_size(); } - - if (start_with(buf_, pos, buf_epos_, s)) { return pos - buf_spos_; } - - off = pos + 1; - } - - return buf_size(); - } - - void buf_append(const char *data, size_t n) { - auto remaining_size = buf_size(); - if (remaining_size > 0 && buf_spos_ > 0) { - for (size_t i = 0; i < remaining_size; i++) { - buf_[i] = buf_[buf_spos_ + i]; - } - } - buf_spos_ = 0; - buf_epos_ = remaining_size; - - if (remaining_size + n > buf_.size()) { buf_.resize(remaining_size + n); } - - for (size_t i = 0; i < n; i++) { - buf_[buf_epos_ + i] = data[i]; - } - buf_epos_ += n; - } - - void buf_erase(size_t size) { buf_spos_ += size; } - - std::string buf_; - size_t buf_spos_ = 0; - size_t buf_epos_ = 0; -}; - -inline std::string to_lower(const char *beg, const char *end) { - std::string out; - auto it = beg; - while (it != end) { - out += static_cast(::tolower(*it)); - it++; - } - return out; -} - -inline std::string make_multipart_data_boundary() { - static const char data[] = - "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"; - - // std::random_device might actually be deterministic on some - // platforms, but due to lack of support in the c++ standard library, - // doing better requires either some ugly hacks or breaking portability. - std::random_device seed_gen; - - // Request 128 bits of entropy for initialization - std::seed_seq seed_sequence{seed_gen(), seed_gen(), seed_gen(), seed_gen()}; - std::mt19937 engine(seed_sequence); - - std::string result = "--cpp-httplib-multipart-data-"; - - for (auto i = 0; i < 16; i++) { - result += data[engine() % (sizeof(data) - 1)]; - } - - return result; -} - -inline bool is_multipart_boundary_chars_valid(const std::string &boundary) { - auto valid = true; - for (size_t i = 0; i < boundary.size(); i++) { - auto c = boundary[i]; - if (!std::isalnum(c) && c != '-' && c != '_') { - valid = false; - break; - } - } - return valid; -} - -template -inline std::string -serialize_multipart_formdata_item_begin(const T &item, - const std::string &boundary) { - std::string body = "--" + boundary + "\r\n"; - body += "Content-Disposition: form-data; name=\"" + item.name + "\""; - if (!item.filename.empty()) { - body += "; filename=\"" + item.filename + "\""; - } - body += "\r\n"; - if (!item.content_type.empty()) { - body += "Content-Type: " + item.content_type + "\r\n"; - } - body += "\r\n"; - - return body; -} - -inline std::string serialize_multipart_formdata_item_end() { return "\r\n"; } - -inline std::string -serialize_multipart_formdata_finish(const std::string &boundary) { - return "--" + boundary + "--\r\n"; -} - -inline std::string -serialize_multipart_formdata_get_content_type(const std::string &boundary) { - return "multipart/form-data; boundary=" + boundary; -} - -inline std::string -serialize_multipart_formdata(const MultipartFormDataItems &items, - const std::string &boundary, bool finish = true) { - std::string body; - - for (const auto &item : items) { - body += serialize_multipart_formdata_item_begin(item, boundary); - body += item.content + serialize_multipart_formdata_item_end(); - } - - if (finish) body += serialize_multipart_formdata_finish(boundary); - - return body; -} - -inline std::pair -get_range_offset_and_length(const Request &req, size_t content_length, - size_t index) { - auto r = req.ranges[index]; - - if (r.first == -1 && r.second == -1) { - return std::make_pair(0, content_length); - } - - auto slen = static_cast(content_length); - - if (r.first == -1) { - r.first = (std::max)(static_cast(0), slen - r.second); - r.second = slen - 1; - } - - if (r.second == -1) { r.second = slen - 1; } - return std::make_pair(r.first, static_cast(r.second - r.first) + 1); -} - -inline std::string make_content_range_header_field(size_t offset, size_t length, - size_t content_length) { - std::string field = "bytes "; - field += std::to_string(offset); - field += "-"; - field += std::to_string(offset + length - 1); - field += "/"; - field += std::to_string(content_length); - return field; -} - -template -bool process_multipart_ranges_data(const Request &req, Response &res, - const std::string &boundary, - const std::string &content_type, - SToken stoken, CToken ctoken, - Content content) { - for (size_t i = 0; i < req.ranges.size(); i++) { - ctoken("--"); - stoken(boundary); - ctoken("\r\n"); - if (!content_type.empty()) { - ctoken("Content-Type: "); - stoken(content_type); - ctoken("\r\n"); - } - - auto offsets = get_range_offset_and_length(req, res.body.size(), i); - auto offset = offsets.first; - auto length = offsets.second; - - ctoken("Content-Range: "); - stoken(make_content_range_header_field(offset, length, res.body.size())); - ctoken("\r\n"); - ctoken("\r\n"); - if (!content(offset, length)) { return false; } - ctoken("\r\n"); - } - - ctoken("--"); - stoken(boundary); - ctoken("--\r\n"); - - return true; -} - -inline bool make_multipart_ranges_data(const Request &req, Response &res, - const std::string &boundary, - const std::string &content_type, - std::string &data) { - return process_multipart_ranges_data( - req, res, boundary, content_type, - [&](const std::string &token) { data += token; }, - [&](const std::string &token) { data += token; }, - [&](size_t offset, size_t length) { - if (offset < res.body.size()) { - data += res.body.substr(offset, length); - return true; - } - return false; - }); -} - -inline size_t -get_multipart_ranges_data_length(const Request &req, Response &res, - const std::string &boundary, - const std::string &content_type) { - size_t data_length = 0; - - process_multipart_ranges_data( - req, res, boundary, content_type, - [&](const std::string &token) { data_length += token.size(); }, - [&](const std::string &token) { data_length += token.size(); }, - [&](size_t /*offset*/, size_t length) { - data_length += length; - return true; - }); - - return data_length; -} - -template -inline bool write_multipart_ranges_data(Stream &strm, const Request &req, - Response &res, - const std::string &boundary, - const std::string &content_type, - const T &is_shutting_down) { - return process_multipart_ranges_data( - req, res, boundary, content_type, - [&](const std::string &token) { strm.write(token); }, - [&](const std::string &token) { strm.write(token); }, - [&](size_t offset, size_t length) { - return write_content(strm, res.content_provider_, offset, length, - is_shutting_down); - }); -} - -inline std::pair -get_range_offset_and_length(const Request &req, const Response &res, - size_t index) { - auto r = req.ranges[index]; - - if (r.second == -1) { - r.second = static_cast(res.content_length_) - 1; - } - - return std::make_pair(r.first, r.second - r.first + 1); -} - -inline bool expect_content(const Request &req) { - if (req.method == "POST" || req.method == "PUT" || req.method == "PATCH" || - req.method == "PRI" || req.method == "DELETE") { - return true; - } - // TODO: check if Content-Length is set - return false; -} - -inline bool has_crlf(const std::string &s) { - auto p = s.c_str(); - while (*p) { - if (*p == '\r' || *p == '\n') { return true; } - p++; - } - return false; -} - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline std::string message_digest(const std::string &s, const EVP_MD *algo) { - auto context = std::unique_ptr( - EVP_MD_CTX_new(), EVP_MD_CTX_free); - - unsigned int hash_length = 0; - unsigned char hash[EVP_MAX_MD_SIZE]; - - EVP_DigestInit_ex(context.get(), algo, nullptr); - EVP_DigestUpdate(context.get(), s.c_str(), s.size()); - EVP_DigestFinal_ex(context.get(), hash, &hash_length); - - std::stringstream ss; - for (auto i = 0u; i < hash_length; ++i) { - ss << std::hex << std::setw(2) << std::setfill('0') - << (unsigned int)hash[i]; - } - - return ss.str(); -} - -inline std::string MD5(const std::string &s) { - return message_digest(s, EVP_md5()); -} - -inline std::string SHA_256(const std::string &s) { - return message_digest(s, EVP_sha256()); -} - -inline std::string SHA_512(const std::string &s) { - return message_digest(s, EVP_sha512()); -} -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -#ifdef _WIN32 -// NOTE: This code came up with the following stackoverflow post: -// https://stackoverflow.com/questions/9507184/can-openssl-on-windows-use-the-system-certificate-store -inline bool load_system_certs_on_windows(X509_STORE *store) { - auto hStore = CertOpenSystemStoreW((HCRYPTPROV_LEGACY)NULL, L"ROOT"); - if (!hStore) { return false; } - - auto result = false; - PCCERT_CONTEXT pContext = NULL; - while ((pContext = CertEnumCertificatesInStore(hStore, pContext)) != - nullptr) { - auto encoded_cert = - static_cast(pContext->pbCertEncoded); - - auto x509 = d2i_X509(NULL, &encoded_cert, pContext->cbCertEncoded); - if (x509) { - X509_STORE_add_cert(store, x509); - X509_free(x509); - result = true; - } - } - - CertFreeCertificateContext(pContext); - CertCloseStore(hStore, 0); - - return result; -} -#elif defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN) && defined(__APPLE__) -#if TARGET_OS_OSX -template -using CFObjectPtr = - std::unique_ptr::type, void (*)(CFTypeRef)>; - -inline void cf_object_ptr_deleter(CFTypeRef obj) { - if (obj) { CFRelease(obj); } -} - -inline bool retrieve_certs_from_keychain(CFObjectPtr &certs) { - CFStringRef keys[] = {kSecClass, kSecMatchLimit, kSecReturnRef}; - CFTypeRef values[] = {kSecClassCertificate, kSecMatchLimitAll, - kCFBooleanTrue}; - - CFObjectPtr query( - CFDictionaryCreate(nullptr, reinterpret_cast(keys), values, - sizeof(keys) / sizeof(keys[0]), - &kCFTypeDictionaryKeyCallBacks, - &kCFTypeDictionaryValueCallBacks), - cf_object_ptr_deleter); - - if (!query) { return false; } - - CFTypeRef security_items = nullptr; - if (SecItemCopyMatching(query.get(), &security_items) != errSecSuccess || - CFArrayGetTypeID() != CFGetTypeID(security_items)) { - return false; - } - - certs.reset(reinterpret_cast(security_items)); - return true; -} - -inline bool retrieve_root_certs_from_keychain(CFObjectPtr &certs) { - CFArrayRef root_security_items = nullptr; - if (SecTrustCopyAnchorCertificates(&root_security_items) != errSecSuccess) { - return false; - } - - certs.reset(root_security_items); - return true; -} - -inline bool add_certs_to_x509_store(CFArrayRef certs, X509_STORE *store) { - auto result = false; - for (int i = 0; i < CFArrayGetCount(certs); ++i) { - const auto cert = reinterpret_cast( - CFArrayGetValueAtIndex(certs, i)); - - if (SecCertificateGetTypeID() != CFGetTypeID(cert)) { continue; } - - CFDataRef cert_data = nullptr; - if (SecItemExport(cert, kSecFormatX509Cert, 0, nullptr, &cert_data) != - errSecSuccess) { - continue; - } - - CFObjectPtr cert_data_ptr(cert_data, cf_object_ptr_deleter); - - auto encoded_cert = static_cast( - CFDataGetBytePtr(cert_data_ptr.get())); - - auto x509 = - d2i_X509(NULL, &encoded_cert, CFDataGetLength(cert_data_ptr.get())); - - if (x509) { - X509_STORE_add_cert(store, x509); - X509_free(x509); - result = true; - } - } - - return result; -} - -inline bool load_system_certs_on_macos(X509_STORE *store) { - auto result = false; - CFObjectPtr certs(nullptr, cf_object_ptr_deleter); - if (retrieve_certs_from_keychain(certs) && certs) { - result = add_certs_to_x509_store(certs.get(), store); - } - - if (retrieve_root_certs_from_keychain(certs) && certs) { - result = add_certs_to_x509_store(certs.get(), store) || result; - } - - return result; -} -#endif // TARGET_OS_OSX -#endif // _WIN32 -#endif // CPPHTTPLIB_OPENSSL_SUPPORT - -#ifdef _WIN32 -class WSInit { -public: - WSInit() { - WSADATA wsaData; - if (WSAStartup(0x0002, &wsaData) == 0) is_valid_ = true; - } - - ~WSInit() { - if (is_valid_) WSACleanup(); - } - - bool is_valid_ = false; -}; - -static WSInit wsinit_; -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline std::pair make_digest_authentication_header( - const Request &req, const std::map &auth, - size_t cnonce_count, const std::string &cnonce, const std::string &username, - const std::string &password, bool is_proxy = false) { - std::string nc; - { - std::stringstream ss; - ss << std::setfill('0') << std::setw(8) << std::hex << cnonce_count; - nc = ss.str(); - } - - std::string qop; - if (auth.find("qop") != auth.end()) { - qop = auth.at("qop"); - if (qop.find("auth-int") != std::string::npos) { - qop = "auth-int"; - } else if (qop.find("auth") != std::string::npos) { - qop = "auth"; - } else { - qop.clear(); - } - } - - std::string algo = "MD5"; - if (auth.find("algorithm") != auth.end()) { algo = auth.at("algorithm"); } - - std::string response; - { - auto H = algo == "SHA-256" ? detail::SHA_256 - : algo == "SHA-512" ? detail::SHA_512 - : detail::MD5; - - auto A1 = username + ":" + auth.at("realm") + ":" + password; - - auto A2 = req.method + ":" + req.path; - if (qop == "auth-int") { A2 += ":" + H(req.body); } - - if (qop.empty()) { - response = H(H(A1) + ":" + auth.at("nonce") + ":" + H(A2)); - } else { - response = H(H(A1) + ":" + auth.at("nonce") + ":" + nc + ":" + cnonce + - ":" + qop + ":" + H(A2)); - } - } - - auto opaque = (auth.find("opaque") != auth.end()) ? auth.at("opaque") : ""; - - auto field = "Digest username=\"" + username + "\", realm=\"" + - auth.at("realm") + "\", nonce=\"" + auth.at("nonce") + - "\", uri=\"" + req.path + "\", algorithm=" + algo + - (qop.empty() ? ", response=\"" - : ", qop=" + qop + ", nc=" + nc + ", cnonce=\"" + - cnonce + "\", response=\"") + - response + "\"" + - (opaque.empty() ? "" : ", opaque=\"" + opaque + "\""); - - auto key = is_proxy ? "Proxy-Authorization" : "Authorization"; - return std::make_pair(key, field); -} -#endif - -inline bool parse_www_authenticate(const Response &res, - std::map &auth, - bool is_proxy) { - auto auth_key = is_proxy ? "Proxy-Authenticate" : "WWW-Authenticate"; - if (res.has_header(auth_key)) { - static auto re = std::regex(R"~((?:(?:,\s*)?(.+?)=(?:"(.*?)"|([^,]*))))~"); - auto s = res.get_header_value(auth_key); - auto pos = s.find(' '); - if (pos != std::string::npos) { - auto type = s.substr(0, pos); - if (type == "Basic") { - return false; - } else if (type == "Digest") { - s = s.substr(pos + 1); - auto beg = std::sregex_iterator(s.begin(), s.end(), re); - for (auto i = beg; i != std::sregex_iterator(); ++i) { - auto m = *i; - auto key = s.substr(static_cast(m.position(1)), - static_cast(m.length(1))); - auto val = m.length(2) > 0 - ? s.substr(static_cast(m.position(2)), - static_cast(m.length(2))) - : s.substr(static_cast(m.position(3)), - static_cast(m.length(3))); - auth[key] = val; - } - return true; - } - } - } - return false; -} - -// https://stackoverflow.com/questions/440133/how-do-i-create-a-random-alpha-numeric-string-in-c/440240#answer-440240 -inline std::string random_string(size_t length) { - auto randchar = []() -> char { - const char charset[] = "0123456789" - "ABCDEFGHIJKLMNOPQRSTUVWXYZ" - "abcdefghijklmnopqrstuvwxyz"; - const size_t max_index = (sizeof(charset) - 1); - return charset[static_cast(std::rand()) % max_index]; - }; - std::string str(length, 0); - std::generate_n(str.begin(), length, randchar); - return str; -} - -class ContentProviderAdapter { -public: - explicit ContentProviderAdapter( - ContentProviderWithoutLength &&content_provider) - : content_provider_(content_provider) {} - - bool operator()(size_t offset, size_t, DataSink &sink) { - return content_provider_(offset, sink); - } - -private: - ContentProviderWithoutLength content_provider_; -}; - -} // namespace detail - -inline std::string hosted_at(const std::string &hostname) { - std::vector addrs; - hosted_at(hostname, addrs); - if (addrs.empty()) { return std::string(); } - return addrs[0]; -} - -inline void hosted_at(const std::string &hostname, - std::vector &addrs) { - struct addrinfo hints; - struct addrinfo *result; - - memset(&hints, 0, sizeof(struct addrinfo)); - hints.ai_family = AF_UNSPEC; - hints.ai_socktype = SOCK_STREAM; - hints.ai_protocol = 0; - - if (getaddrinfo(hostname.c_str(), nullptr, &hints, &result)) { -#if defined __linux__ && !defined __ANDROID__ - res_init(); -#endif - return; - } - - for (auto rp = result; rp; rp = rp->ai_next) { - const auto &addr = - *reinterpret_cast(rp->ai_addr); - std::string ip; - int dummy = -1; - if (detail::get_ip_and_port(addr, sizeof(struct sockaddr_storage), ip, - dummy)) { - addrs.push_back(ip); - } - } - - freeaddrinfo(result); -} - -inline std::string append_query_params(const std::string &path, - const Params ¶ms) { - std::string path_with_query = path; - const static std::regex re("[^?]+\\?.*"); - auto delm = std::regex_match(path, re) ? '&' : '?'; - path_with_query += delm + detail::params_to_query_str(params); - return path_with_query; -} - -// Header utilities -inline std::pair make_range_header(Ranges ranges) { - std::string field = "bytes="; - auto i = 0; - for (auto r : ranges) { - if (i != 0) { field += ", "; } - if (r.first != -1) { field += std::to_string(r.first); } - field += '-'; - if (r.second != -1) { field += std::to_string(r.second); } - i++; - } - return std::make_pair("Range", std::move(field)); -} - -inline std::pair -make_basic_authentication_header(const std::string &username, - const std::string &password, bool is_proxy) { - auto field = "Basic " + detail::base64_encode(username + ":" + password); - auto key = is_proxy ? "Proxy-Authorization" : "Authorization"; - return std::make_pair(key, std::move(field)); -} - -inline std::pair -make_bearer_token_authentication_header(const std::string &token, - bool is_proxy = false) { - auto field = "Bearer " + token; - auto key = is_proxy ? "Proxy-Authorization" : "Authorization"; - return std::make_pair(key, std::move(field)); -} - -// Request implementation -inline bool Request::has_header(const std::string &key) const { - return detail::has_header(headers, key); -} - -inline std::string Request::get_header_value(const std::string &key, - size_t id) const { - return detail::get_header_value(headers, key, id, ""); -} - -inline size_t Request::get_header_value_count(const std::string &key) const { - auto r = headers.equal_range(key); - return static_cast(std::distance(r.first, r.second)); -} - -inline void Request::set_header(const std::string &key, - const std::string &val) { - if (!detail::has_crlf(key) && !detail::has_crlf(val)) { - headers.emplace(key, val); - } -} - -inline bool Request::has_param(const std::string &key) const { - return params.find(key) != params.end(); -} - -inline std::string Request::get_param_value(const std::string &key, - size_t id) const { - auto rng = params.equal_range(key); - auto it = rng.first; - std::advance(it, static_cast(id)); - if (it != rng.second) { return it->second; } - return std::string(); -} - -inline size_t Request::get_param_value_count(const std::string &key) const { - auto r = params.equal_range(key); - return static_cast(std::distance(r.first, r.second)); -} - -inline bool Request::is_multipart_form_data() const { - const auto &content_type = get_header_value("Content-Type"); - return !content_type.rfind("multipart/form-data", 0); -} - -inline bool Request::has_file(const std::string &key) const { - return files.find(key) != files.end(); -} - -inline MultipartFormData Request::get_file_value(const std::string &key) const { - auto it = files.find(key); - if (it != files.end()) { return it->second; } - return MultipartFormData(); -} - -inline std::vector -Request::get_file_values(const std::string &key) const { - std::vector values; - auto rng = files.equal_range(key); - for (auto it = rng.first; it != rng.second; it++) { - values.push_back(it->second); - } - return values; -} - -// Response implementation -inline bool Response::has_header(const std::string &key) const { - return headers.find(key) != headers.end(); -} - -inline std::string Response::get_header_value(const std::string &key, - size_t id) const { - return detail::get_header_value(headers, key, id, ""); -} - -inline size_t Response::get_header_value_count(const std::string &key) const { - auto r = headers.equal_range(key); - return static_cast(std::distance(r.first, r.second)); -} - -inline void Response::set_header(const std::string &key, - const std::string &val) { - if (!detail::has_crlf(key) && !detail::has_crlf(val)) { - headers.emplace(key, val); - } -} - -inline void Response::set_redirect(const std::string &url, int stat) { - if (!detail::has_crlf(url)) { - set_header("Location", url); - if (300 <= stat && stat < 400) { - this->status = stat; - } else { - this->status = 302; - } - } -} - -inline void Response::set_content(const char *s, size_t n, - const std::string &content_type) { - body.assign(s, n); - - auto rng = headers.equal_range("Content-Type"); - headers.erase(rng.first, rng.second); - set_header("Content-Type", content_type); -} - -inline void Response::set_content(const std::string &s, - const std::string &content_type) { - set_content(s.data(), s.size(), content_type); -} - -inline void Response::set_content_provider( - size_t in_length, const std::string &content_type, ContentProvider provider, - ContentProviderResourceReleaser resource_releaser) { - set_header("Content-Type", content_type); - content_length_ = in_length; - if (in_length > 0) { content_provider_ = std::move(provider); } - content_provider_resource_releaser_ = resource_releaser; - is_chunked_content_provider_ = false; -} - -inline void Response::set_content_provider( - const std::string &content_type, ContentProviderWithoutLength provider, - ContentProviderResourceReleaser resource_releaser) { - set_header("Content-Type", content_type); - content_length_ = 0; - content_provider_ = detail::ContentProviderAdapter(std::move(provider)); - content_provider_resource_releaser_ = resource_releaser; - is_chunked_content_provider_ = false; -} - -inline void Response::set_chunked_content_provider( - const std::string &content_type, ContentProviderWithoutLength provider, - ContentProviderResourceReleaser resource_releaser) { - set_header("Content-Type", content_type); - content_length_ = 0; - content_provider_ = detail::ContentProviderAdapter(std::move(provider)); - content_provider_resource_releaser_ = resource_releaser; - is_chunked_content_provider_ = true; -} - -// Result implementation -inline bool Result::has_request_header(const std::string &key) const { - return request_headers_.find(key) != request_headers_.end(); -} - -inline std::string Result::get_request_header_value(const std::string &key, - size_t id) const { - return detail::get_header_value(request_headers_, key, id, ""); -} - -inline size_t -Result::get_request_header_value_count(const std::string &key) const { - auto r = request_headers_.equal_range(key); - return static_cast(std::distance(r.first, r.second)); -} - -// Stream implementation -inline ssize_t Stream::write(const char *ptr) { - return write(ptr, strlen(ptr)); -} - -inline ssize_t Stream::write(const std::string &s) { - return write(s.data(), s.size()); -} - -namespace detail { - -// Socket stream implementation -inline SocketStream::SocketStream(socket_t sock, time_t read_timeout_sec, - time_t read_timeout_usec, - time_t write_timeout_sec, - time_t write_timeout_usec) - : sock_(sock), read_timeout_sec_(read_timeout_sec), - read_timeout_usec_(read_timeout_usec), - write_timeout_sec_(write_timeout_sec), - write_timeout_usec_(write_timeout_usec), read_buff_(read_buff_size_, 0) {} - -inline SocketStream::~SocketStream() {} - -inline bool SocketStream::is_readable() const { - return select_read(sock_, read_timeout_sec_, read_timeout_usec_) > 0; -} - -inline bool SocketStream::is_writable() const { - return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0 && - is_socket_alive(sock_); -} - -inline ssize_t SocketStream::read(char *ptr, size_t size) { -#ifdef _WIN32 - size = - (std::min)(size, static_cast((std::numeric_limits::max)())); -#else - size = (std::min)(size, - static_cast((std::numeric_limits::max)())); -#endif - - if (read_buff_off_ < read_buff_content_size_) { - auto remaining_size = read_buff_content_size_ - read_buff_off_; - if (size <= remaining_size) { - memcpy(ptr, read_buff_.data() + read_buff_off_, size); - read_buff_off_ += size; - return static_cast(size); - } else { - memcpy(ptr, read_buff_.data() + read_buff_off_, remaining_size); - read_buff_off_ += remaining_size; - return static_cast(remaining_size); - } - } - - if (!is_readable()) { return -1; } - - read_buff_off_ = 0; - read_buff_content_size_ = 0; - - if (size < read_buff_size_) { - auto n = read_socket(sock_, read_buff_.data(), read_buff_size_, - CPPHTTPLIB_RECV_FLAGS); - if (n <= 0) { - return n; - } else if (n <= static_cast(size)) { - memcpy(ptr, read_buff_.data(), static_cast(n)); - return n; - } else { - memcpy(ptr, read_buff_.data(), size); - read_buff_off_ = size; - read_buff_content_size_ = static_cast(n); - return static_cast(size); - } - } else { - return read_socket(sock_, ptr, size, CPPHTTPLIB_RECV_FLAGS); - } -} - -inline ssize_t SocketStream::write(const char *ptr, size_t size) { - if (!is_writable()) { return -1; } - -#if defined(_WIN32) && !defined(_WIN64) - size = - (std::min)(size, static_cast((std::numeric_limits::max)())); -#endif - - return send_socket(sock_, ptr, size, CPPHTTPLIB_SEND_FLAGS); -} - -inline void SocketStream::get_remote_ip_and_port(std::string &ip, - int &port) const { - return detail::get_remote_ip_and_port(sock_, ip, port); -} - -inline void SocketStream::get_local_ip_and_port(std::string &ip, - int &port) const { - return detail::get_local_ip_and_port(sock_, ip, port); -} - -inline socket_t SocketStream::socket() const { return sock_; } - -// Buffer stream implementation -inline bool BufferStream::is_readable() const { return true; } - -inline bool BufferStream::is_writable() const { return true; } - -inline ssize_t BufferStream::read(char *ptr, size_t size) { -#if defined(_MSC_VER) && _MSC_VER < 1910 - auto len_read = buffer._Copy_s(ptr, size, size, position); -#else - auto len_read = buffer.copy(ptr, size, position); -#endif - position += static_cast(len_read); - return static_cast(len_read); -} - -inline ssize_t BufferStream::write(const char *ptr, size_t size) { - buffer.append(ptr, size); - return static_cast(size); -} - -inline void BufferStream::get_remote_ip_and_port(std::string & /*ip*/, - int & /*port*/) const {} - -inline void BufferStream::get_local_ip_and_port(std::string & /*ip*/, - int & /*port*/) const {} - -inline socket_t BufferStream::socket() const { return 0; } - -inline const std::string &BufferStream::get_buffer() const { return buffer; } - -} // namespace detail - -// HTTP server implementation -inline Server::Server() - : new_task_queue( - [] { return new ThreadPool(CPPHTTPLIB_THREAD_POOL_COUNT); }) { -#ifndef _WIN32 - signal(SIGPIPE, SIG_IGN); -#endif -} - -inline Server::~Server() {} - -inline Server &Server::Get(const std::string &pattern, Handler handler) { - get_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Post(const std::string &pattern, Handler handler) { - post_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Post(const std::string &pattern, - HandlerWithContentReader handler) { - post_handlers_for_content_reader_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Put(const std::string &pattern, Handler handler) { - put_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Put(const std::string &pattern, - HandlerWithContentReader handler) { - put_handlers_for_content_reader_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Patch(const std::string &pattern, Handler handler) { - patch_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Patch(const std::string &pattern, - HandlerWithContentReader handler) { - patch_handlers_for_content_reader_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Delete(const std::string &pattern, Handler handler) { - delete_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Delete(const std::string &pattern, - HandlerWithContentReader handler) { - delete_handlers_for_content_reader_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline Server &Server::Options(const std::string &pattern, Handler handler) { - options_handlers_.push_back( - std::make_pair(std::regex(pattern), std::move(handler))); - return *this; -} - -inline bool Server::set_base_dir(const std::string &dir, - const std::string &mount_point) { - return set_mount_point(mount_point, dir); -} - -inline bool Server::set_mount_point(const std::string &mount_point, - const std::string &dir, Headers headers) { - if (detail::is_dir(dir)) { - std::string mnt = !mount_point.empty() ? mount_point : "/"; - if (!mnt.empty() && mnt[0] == '/') { - base_dirs_.push_back({mnt, dir, std::move(headers)}); - return true; - } - } - return false; -} - -inline bool Server::remove_mount_point(const std::string &mount_point) { - for (auto it = base_dirs_.begin(); it != base_dirs_.end(); ++it) { - if (it->mount_point == mount_point) { - base_dirs_.erase(it); - return true; - } - } - return false; -} - -inline Server & -Server::set_file_extension_and_mimetype_mapping(const std::string &ext, - const std::string &mime) { - file_extension_and_mimetype_map_[ext] = mime; - return *this; -} - -inline Server &Server::set_file_request_handler(Handler handler) { - file_request_handler_ = std::move(handler); - return *this; -} - -inline Server &Server::set_error_handler(HandlerWithResponse handler) { - error_handler_ = std::move(handler); - return *this; -} - -inline Server &Server::set_error_handler(Handler handler) { - error_handler_ = [handler](const Request &req, Response &res) { - handler(req, res); - return HandlerResponse::Handled; - }; - return *this; -} - -inline Server &Server::set_exception_handler(ExceptionHandler handler) { - exception_handler_ = std::move(handler); - return *this; -} - -inline Server &Server::set_pre_routing_handler(HandlerWithResponse handler) { - pre_routing_handler_ = std::move(handler); - return *this; -} - -inline Server &Server::set_post_routing_handler(Handler handler) { - post_routing_handler_ = std::move(handler); - return *this; -} - -inline Server &Server::set_logger(Logger logger) { - logger_ = std::move(logger); - return *this; -} - -inline Server & -Server::set_expect_100_continue_handler(Expect100ContinueHandler handler) { - expect_100_continue_handler_ = std::move(handler); - - return *this; -} - -inline Server &Server::set_address_family(int family) { - address_family_ = family; - return *this; -} - -inline Server &Server::set_tcp_nodelay(bool on) { - tcp_nodelay_ = on; - return *this; -} - -inline Server &Server::set_socket_options(SocketOptions socket_options) { - socket_options_ = std::move(socket_options); - return *this; -} - -inline Server &Server::set_default_headers(Headers headers) { - default_headers_ = std::move(headers); - return *this; -} - -inline Server &Server::set_keep_alive_max_count(size_t count) { - keep_alive_max_count_ = count; - return *this; -} - -inline Server &Server::set_keep_alive_timeout(time_t sec) { - keep_alive_timeout_sec_ = sec; - return *this; -} - -inline Server &Server::set_read_timeout(time_t sec, time_t usec) { - read_timeout_sec_ = sec; - read_timeout_usec_ = usec; - return *this; -} - -inline Server &Server::set_write_timeout(time_t sec, time_t usec) { - write_timeout_sec_ = sec; - write_timeout_usec_ = usec; - return *this; -} - -inline Server &Server::set_idle_interval(time_t sec, time_t usec) { - idle_interval_sec_ = sec; - idle_interval_usec_ = usec; - return *this; -} - -inline Server &Server::set_payload_max_length(size_t length) { - payload_max_length_ = length; - return *this; -} - -inline bool Server::bind_to_port(const std::string &host, int port, - int socket_flags) { - if (bind_internal(host, port, socket_flags) < 0) return false; - return true; -} -inline int Server::bind_to_any_port(const std::string &host, int socket_flags) { - return bind_internal(host, 0, socket_flags); -} - -inline bool Server::listen_after_bind() { - auto se = detail::scope_exit([&]() { done_ = true; }); - return listen_internal(); -} - -inline bool Server::listen(const std::string &host, int port, - int socket_flags) { - auto se = detail::scope_exit([&]() { done_ = true; }); - return bind_to_port(host, port, socket_flags) && listen_internal(); -} - -inline bool Server::is_running() const { return is_running_; } - -inline void Server::wait_until_ready() const { - while (!is_running() && !done_) { - std::this_thread::sleep_for(std::chrono::milliseconds{1}); - } -} - -inline void Server::stop() { - if (is_running_) { - assert(svr_sock_ != INVALID_SOCKET); - std::atomic sock(svr_sock_.exchange(INVALID_SOCKET)); - detail::shutdown_socket(sock); - detail::close_socket(sock); - } -} - -inline bool Server::parse_request_line(const char *s, Request &req) { - auto len = strlen(s); - if (len < 2 || s[len - 2] != '\r' || s[len - 1] != '\n') { return false; } - len -= 2; - - { - size_t count = 0; - - detail::split(s, s + len, ' ', [&](const char *b, const char *e) { - switch (count) { - case 0: req.method = std::string(b, e); break; - case 1: req.target = std::string(b, e); break; - case 2: req.version = std::string(b, e); break; - default: break; - } - count++; - }); - - if (count != 3) { return false; } - } - - static const std::set methods{ - "GET", "HEAD", "POST", "PUT", "DELETE", - "CONNECT", "OPTIONS", "TRACE", "PATCH", "PRI"}; - - if (methods.find(req.method) == methods.end()) { return false; } - - if (req.version != "HTTP/1.1" && req.version != "HTTP/1.0") { return false; } - - { - // Skip URL fragment - for (size_t i = 0; i < req.target.size(); i++) { - if (req.target[i] == '#') { - req.target.erase(i); - break; - } - } - - size_t count = 0; - - detail::split(req.target.data(), req.target.data() + req.target.size(), '?', - [&](const char *b, const char *e) { - switch (count) { - case 0: - req.path = detail::decode_url(std::string(b, e), false); - break; - case 1: { - if (e - b > 0) { - detail::parse_query_text(std::string(b, e), req.params); - } - break; - } - default: break; - } - count++; - }); - - if (count > 2) { return false; } - } - - return true; -} - -inline bool Server::write_response(Stream &strm, bool close_connection, - const Request &req, Response &res) { - return write_response_core(strm, close_connection, req, res, false); -} - -inline bool Server::write_response_with_content(Stream &strm, - bool close_connection, - const Request &req, - Response &res) { - return write_response_core(strm, close_connection, req, res, true); -} - -inline bool Server::write_response_core(Stream &strm, bool close_connection, - const Request &req, Response &res, - bool need_apply_ranges) { - assert(res.status != -1); - - if (400 <= res.status && error_handler_ && - error_handler_(req, res) == HandlerResponse::Handled) { - need_apply_ranges = true; - } - - std::string content_type; - std::string boundary; - if (need_apply_ranges) { apply_ranges(req, res, content_type, boundary); } - - // Prepare additional headers - if (close_connection || req.get_header_value("Connection") == "close") { - res.set_header("Connection", "close"); - } else { - std::stringstream ss; - ss << "timeout=" << keep_alive_timeout_sec_ - << ", max=" << keep_alive_max_count_; - res.set_header("Keep-Alive", ss.str()); - } - - if (!res.has_header("Content-Type") && - (!res.body.empty() || res.content_length_ > 0 || res.content_provider_)) { - res.set_header("Content-Type", "text/plain"); - } - - if (!res.has_header("Content-Length") && res.body.empty() && - !res.content_length_ && !res.content_provider_) { - res.set_header("Content-Length", "0"); - } - - if (!res.has_header("Accept-Ranges") && req.method == "HEAD") { - res.set_header("Accept-Ranges", "bytes"); - } - - if (post_routing_handler_) { post_routing_handler_(req, res); } - - // Response line and headers - { - detail::BufferStream bstrm; - - if (!bstrm.write_format("HTTP/1.1 %d %s\r\n", res.status, - detail::status_message(res.status))) { - return false; - } - - if (!detail::write_headers(bstrm, res.headers)) { return false; } - - // Flush buffer - auto &data = bstrm.get_buffer(); - detail::write_data(strm, data.data(), data.size()); - } - - // Body - auto ret = true; - if (req.method != "HEAD") { - if (!res.body.empty()) { - if (!detail::write_data(strm, res.body.data(), res.body.size())) { - ret = false; - } - } else if (res.content_provider_) { - if (write_content_with_provider(strm, req, res, boundary, content_type)) { - res.content_provider_success_ = true; - } else { - res.content_provider_success_ = false; - ret = false; - } - } - } - - // Log - if (logger_) { logger_(req, res); } - - return ret; -} - -inline bool -Server::write_content_with_provider(Stream &strm, const Request &req, - Response &res, const std::string &boundary, - const std::string &content_type) { - auto is_shutting_down = [this]() { - return this->svr_sock_ == INVALID_SOCKET; - }; - - if (res.content_length_ > 0) { - if (req.ranges.empty()) { - return detail::write_content(strm, res.content_provider_, 0, - res.content_length_, is_shutting_down); - } else if (req.ranges.size() == 1) { - auto offsets = - detail::get_range_offset_and_length(req, res.content_length_, 0); - auto offset = offsets.first; - auto length = offsets.second; - return detail::write_content(strm, res.content_provider_, offset, length, - is_shutting_down); - } else { - return detail::write_multipart_ranges_data( - strm, req, res, boundary, content_type, is_shutting_down); - } - } else { - if (res.is_chunked_content_provider_) { - auto type = detail::encoding_type(req, res); - - std::unique_ptr compressor; - if (type == detail::EncodingType::Gzip) { -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - compressor = detail::make_unique(); -#endif - } else if (type == detail::EncodingType::Brotli) { -#ifdef CPPHTTPLIB_BROTLI_SUPPORT - compressor = detail::make_unique(); -#endif - } else { - compressor = detail::make_unique(); - } - assert(compressor != nullptr); - - return detail::write_content_chunked(strm, res.content_provider_, - is_shutting_down, *compressor); - } else { - return detail::write_content_without_length(strm, res.content_provider_, - is_shutting_down); - } - } -} - -inline bool Server::read_content(Stream &strm, Request &req, Response &res) { - MultipartFormDataMap::iterator cur; - auto file_count = 0; - if (read_content_core( - strm, req, res, - // Regular - [&](const char *buf, size_t n) { - if (req.body.size() + n > req.body.max_size()) { return false; } - req.body.append(buf, n); - return true; - }, - // Multipart - [&](const MultipartFormData &file) { - if (file_count++ == CPPHTTPLIB_MULTIPART_FORM_DATA_FILE_MAX_COUNT) { - return false; - } - cur = req.files.emplace(file.name, file); - return true; - }, - [&](const char *buf, size_t n) { - auto &content = cur->second.content; - if (content.size() + n > content.max_size()) { return false; } - content.append(buf, n); - return true; - })) { - const auto &content_type = req.get_header_value("Content-Type"); - if (!content_type.find("application/x-www-form-urlencoded")) { - if (req.body.size() > CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH) { - res.status = 413; // NOTE: should be 414? - return false; - } - detail::parse_query_text(req.body, req.params); - } - return true; - } - return false; -} - -inline bool Server::read_content_with_content_receiver( - Stream &strm, Request &req, Response &res, ContentReceiver receiver, - MultipartContentHeader multipart_header, - ContentReceiver multipart_receiver) { - return read_content_core(strm, req, res, std::move(receiver), - std::move(multipart_header), - std::move(multipart_receiver)); -} - -inline bool Server::read_content_core(Stream &strm, Request &req, Response &res, - ContentReceiver receiver, - MultipartContentHeader multipart_header, - ContentReceiver multipart_receiver) { - detail::MultipartFormDataParser multipart_form_data_parser; - ContentReceiverWithProgress out; - - if (req.is_multipart_form_data()) { - const auto &content_type = req.get_header_value("Content-Type"); - std::string boundary; - if (!detail::parse_multipart_boundary(content_type, boundary)) { - res.status = 400; - return false; - } - - multipart_form_data_parser.set_boundary(std::move(boundary)); - out = [&](const char *buf, size_t n, uint64_t /*off*/, uint64_t /*len*/) { - /* For debug - size_t pos = 0; - while (pos < n) { - auto read_size = (std::min)(1, n - pos); - auto ret = multipart_form_data_parser.parse( - buf + pos, read_size, multipart_receiver, multipart_header); - if (!ret) { return false; } - pos += read_size; - } - return true; - */ - return multipart_form_data_parser.parse(buf, n, multipart_receiver, - multipart_header); - }; - } else { - out = [receiver](const char *buf, size_t n, uint64_t /*off*/, - uint64_t /*len*/) { return receiver(buf, n); }; - } - - if (req.method == "DELETE" && !req.has_header("Content-Length")) { - return true; - } - - if (!detail::read_content(strm, req, payload_max_length_, res.status, nullptr, - out, true)) { - return false; - } - - if (req.is_multipart_form_data()) { - if (!multipart_form_data_parser.is_valid()) { - res.status = 400; - return false; - } - } - - return true; -} - -inline bool Server::handle_file_request(const Request &req, Response &res, - bool head) { - for (const auto &entry : base_dirs_) { - // Prefix match - if (!req.path.compare(0, entry.mount_point.size(), entry.mount_point)) { - std::string sub_path = "/" + req.path.substr(entry.mount_point.size()); - if (detail::is_valid_path(sub_path)) { - auto path = entry.base_dir + sub_path; - if (path.back() == '/') { path += "index.html"; } - - if (detail::is_file(path)) { - detail::read_file(path, res.body); - auto type = - detail::find_content_type(path, file_extension_and_mimetype_map_); - if (type) { res.set_header("Content-Type", type); } - for (const auto &kv : entry.headers) { - res.set_header(kv.first.c_str(), kv.second); - } - res.status = req.has_header("Range") ? 206 : 200; - if (!head && file_request_handler_) { - file_request_handler_(req, res); - } - return true; - } - } - } - } - return false; -} - -inline socket_t -Server::create_server_socket(const std::string &host, int port, - int socket_flags, - SocketOptions socket_options) const { - return detail::create_socket( - host, std::string(), port, address_family_, socket_flags, tcp_nodelay_, - std::move(socket_options), - [](socket_t sock, struct addrinfo &ai) -> bool { - if (::bind(sock, ai.ai_addr, static_cast(ai.ai_addrlen))) { - return false; - } - if (::listen(sock, CPPHTTPLIB_LISTEN_BACKLOG)) { return false; } - return true; - }); -} - -inline int Server::bind_internal(const std::string &host, int port, - int socket_flags) { - if (!is_valid()) { return -1; } - - svr_sock_ = create_server_socket(host, port, socket_flags, socket_options_); - if (svr_sock_ == INVALID_SOCKET) { return -1; } - - if (port == 0) { - struct sockaddr_storage addr; - socklen_t addr_len = sizeof(addr); - if (getsockname(svr_sock_, reinterpret_cast(&addr), - &addr_len) == -1) { - return -1; - } - if (addr.ss_family == AF_INET) { - return ntohs(reinterpret_cast(&addr)->sin_port); - } else if (addr.ss_family == AF_INET6) { - return ntohs(reinterpret_cast(&addr)->sin6_port); - } else { - return -1; - } - } else { - return port; - } -} - -inline bool Server::listen_internal() { - auto ret = true; - is_running_ = true; - auto se = detail::scope_exit([&]() { is_running_ = false; }); - - { - std::unique_ptr task_queue(new_task_queue()); - - while (svr_sock_ != INVALID_SOCKET) { -#ifndef _WIN32 - if (idle_interval_sec_ > 0 || idle_interval_usec_ > 0) { -#endif - auto val = detail::select_read(svr_sock_, idle_interval_sec_, - idle_interval_usec_); - if (val == 0) { // Timeout - task_queue->on_idle(); - continue; - } -#ifndef _WIN32 - } -#endif - socket_t sock = accept(svr_sock_, nullptr, nullptr); - - if (sock == INVALID_SOCKET) { - if (errno == EMFILE) { - // The per-process limit of open file descriptors has been reached. - // Try to accept new connections after a short sleep. - std::this_thread::sleep_for(std::chrono::milliseconds(1)); - continue; - } else if (errno == EINTR || errno == EAGAIN) { - continue; - } - if (svr_sock_ != INVALID_SOCKET) { - detail::close_socket(svr_sock_); - ret = false; - } else { - ; // The server socket was closed by user. - } - break; - } - - { -#ifdef _WIN32 - auto timeout = static_cast(read_timeout_sec_ * 1000 + - read_timeout_usec_ / 1000); - setsockopt(sock, SOL_SOCKET, SO_RCVTIMEO, (char *)&timeout, - sizeof(timeout)); -#else - timeval tv; - tv.tv_sec = static_cast(read_timeout_sec_); - tv.tv_usec = static_cast(read_timeout_usec_); - setsockopt(sock, SOL_SOCKET, SO_RCVTIMEO, (char *)&tv, sizeof(tv)); -#endif - } - { - -#ifdef _WIN32 - auto timeout = static_cast(write_timeout_sec_ * 1000 + - write_timeout_usec_ / 1000); - setsockopt(sock, SOL_SOCKET, SO_SNDTIMEO, (char *)&timeout, - sizeof(timeout)); -#else - timeval tv; - tv.tv_sec = static_cast(write_timeout_sec_); - tv.tv_usec = static_cast(write_timeout_usec_); - setsockopt(sock, SOL_SOCKET, SO_SNDTIMEO, (char *)&tv, sizeof(tv)); -#endif - } - - task_queue->enqueue([this, sock]() { process_and_close_socket(sock); }); - } - - task_queue->shutdown(); - } - - return ret; -} - -inline bool Server::routing(Request &req, Response &res, Stream &strm) { - if (pre_routing_handler_ && - pre_routing_handler_(req, res) == HandlerResponse::Handled) { - return true; - } - - // File handler - bool is_head_request = req.method == "HEAD"; - if ((req.method == "GET" || is_head_request) && - handle_file_request(req, res, is_head_request)) { - return true; - } - - if (detail::expect_content(req)) { - // Content reader handler - { - ContentReader reader( - [&](ContentReceiver receiver) { - return read_content_with_content_receiver( - strm, req, res, std::move(receiver), nullptr, nullptr); - }, - [&](MultipartContentHeader header, ContentReceiver receiver) { - return read_content_with_content_receiver(strm, req, res, nullptr, - std::move(header), - std::move(receiver)); - }); - - if (req.method == "POST") { - if (dispatch_request_for_content_reader( - req, res, std::move(reader), - post_handlers_for_content_reader_)) { - return true; - } - } else if (req.method == "PUT") { - if (dispatch_request_for_content_reader( - req, res, std::move(reader), - put_handlers_for_content_reader_)) { - return true; - } - } else if (req.method == "PATCH") { - if (dispatch_request_for_content_reader( - req, res, std::move(reader), - patch_handlers_for_content_reader_)) { - return true; - } - } else if (req.method == "DELETE") { - if (dispatch_request_for_content_reader( - req, res, std::move(reader), - delete_handlers_for_content_reader_)) { - return true; - } - } - } - - // Read content into `req.body` - if (!read_content(strm, req, res)) { return false; } - } - - // Regular handler - if (req.method == "GET" || req.method == "HEAD") { - return dispatch_request(req, res, get_handlers_); - } else if (req.method == "POST") { - return dispatch_request(req, res, post_handlers_); - } else if (req.method == "PUT") { - return dispatch_request(req, res, put_handlers_); - } else if (req.method == "DELETE") { - return dispatch_request(req, res, delete_handlers_); - } else if (req.method == "OPTIONS") { - return dispatch_request(req, res, options_handlers_); - } else if (req.method == "PATCH") { - return dispatch_request(req, res, patch_handlers_); - } - - res.status = 400; - return false; -} - -inline bool Server::dispatch_request(Request &req, Response &res, - const Handlers &handlers) { - for (const auto &x : handlers) { - const auto &pattern = x.first; - const auto &handler = x.second; - - if (std::regex_match(req.path, req.matches, pattern)) { - handler(req, res); - return true; - } - } - return false; -} - -inline void Server::apply_ranges(const Request &req, Response &res, - std::string &content_type, - std::string &boundary) { - if (req.ranges.size() > 1) { - boundary = detail::make_multipart_data_boundary(); - - auto it = res.headers.find("Content-Type"); - if (it != res.headers.end()) { - content_type = it->second; - res.headers.erase(it); - } - - res.headers.emplace("Content-Type", - "multipart/byteranges; boundary=" + boundary); - } - - auto type = detail::encoding_type(req, res); - - if (res.body.empty()) { - if (res.content_length_ > 0) { - size_t length = 0; - if (req.ranges.empty()) { - length = res.content_length_; - } else if (req.ranges.size() == 1) { - auto offsets = - detail::get_range_offset_and_length(req, res.content_length_, 0); - auto offset = offsets.first; - length = offsets.second; - auto content_range = detail::make_content_range_header_field( - offset, length, res.content_length_); - res.set_header("Content-Range", content_range); - } else { - length = detail::get_multipart_ranges_data_length(req, res, boundary, - content_type); - } - res.set_header("Content-Length", std::to_string(length)); - } else { - if (res.content_provider_) { - if (res.is_chunked_content_provider_) { - res.set_header("Transfer-Encoding", "chunked"); - if (type == detail::EncodingType::Gzip) { - res.set_header("Content-Encoding", "gzip"); - } else if (type == detail::EncodingType::Brotli) { - res.set_header("Content-Encoding", "br"); - } - } - } - } - } else { - if (req.ranges.empty()) { - ; - } else if (req.ranges.size() == 1) { - auto offsets = - detail::get_range_offset_and_length(req, res.body.size(), 0); - auto offset = offsets.first; - auto length = offsets.second; - auto content_range = detail::make_content_range_header_field( - offset, length, res.body.size()); - res.set_header("Content-Range", content_range); - if (offset < res.body.size()) { - res.body = res.body.substr(offset, length); - } else { - res.body.clear(); - res.status = 416; - } - } else { - std::string data; - if (detail::make_multipart_ranges_data(req, res, boundary, content_type, - data)) { - res.body.swap(data); - } else { - res.body.clear(); - res.status = 416; - } - } - - if (type != detail::EncodingType::None) { - std::unique_ptr compressor; - std::string content_encoding; - - if (type == detail::EncodingType::Gzip) { -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - compressor = detail::make_unique(); - content_encoding = "gzip"; -#endif - } else if (type == detail::EncodingType::Brotli) { -#ifdef CPPHTTPLIB_BROTLI_SUPPORT - compressor = detail::make_unique(); - content_encoding = "br"; -#endif - } - - if (compressor) { - std::string compressed; - if (compressor->compress(res.body.data(), res.body.size(), true, - [&](const char *data, size_t data_len) { - compressed.append(data, data_len); - return true; - })) { - res.body.swap(compressed); - res.set_header("Content-Encoding", content_encoding); - } - } - } - - auto length = std::to_string(res.body.size()); - res.set_header("Content-Length", length); - } -} - -inline bool Server::dispatch_request_for_content_reader( - Request &req, Response &res, ContentReader content_reader, - const HandlersForContentReader &handlers) { - for (const auto &x : handlers) { - const auto &pattern = x.first; - const auto &handler = x.second; - - if (std::regex_match(req.path, req.matches, pattern)) { - handler(req, res, content_reader); - return true; - } - } - return false; -} - -inline bool -Server::process_request(Stream &strm, bool close_connection, - bool &connection_closed, - const std::function &setup_request) { - std::array buf{}; - - detail::stream_line_reader line_reader(strm, buf.data(), buf.size()); - - // Connection has been closed on client - if (!line_reader.getline()) { return false; } - - Request req; - Response res; - - res.version = "HTTP/1.1"; - - for (const auto &header : default_headers_) { - if (res.headers.find(header.first) == res.headers.end()) { - res.headers.insert(header); - } - } - -#ifdef _WIN32 - // TODO: Increase FD_SETSIZE statically (libzmq), dynamically (MySQL). -#else -#ifndef CPPHTTPLIB_USE_POLL - // Socket file descriptor exceeded FD_SETSIZE... - if (strm.socket() >= FD_SETSIZE) { - Headers dummy; - detail::read_headers(strm, dummy); - res.status = 500; - return write_response(strm, close_connection, req, res); - } -#endif -#endif - - // Check if the request URI doesn't exceed the limit - if (line_reader.size() > CPPHTTPLIB_REQUEST_URI_MAX_LENGTH) { - Headers dummy; - detail::read_headers(strm, dummy); - res.status = 414; - return write_response(strm, close_connection, req, res); - } - - // Request line and headers - if (!parse_request_line(line_reader.ptr(), req) || - !detail::read_headers(strm, req.headers)) { - res.status = 400; - return write_response(strm, close_connection, req, res); - } - - if (req.get_header_value("Connection") == "close") { - connection_closed = true; - } - - if (req.version == "HTTP/1.0" && - req.get_header_value("Connection") != "Keep-Alive") { - connection_closed = true; - } - - strm.get_remote_ip_and_port(req.remote_addr, req.remote_port); - req.set_header("REMOTE_ADDR", req.remote_addr); - req.set_header("REMOTE_PORT", std::to_string(req.remote_port)); - - strm.get_local_ip_and_port(req.local_addr, req.local_port); - req.set_header("LOCAL_ADDR", req.local_addr); - req.set_header("LOCAL_PORT", std::to_string(req.local_port)); - - if (req.has_header("Range")) { - const auto &range_header_value = req.get_header_value("Range"); - if (!detail::parse_range_header(range_header_value, req.ranges)) { - res.status = 416; - return write_response(strm, close_connection, req, res); - } - } - - if (setup_request) { setup_request(req); } - - if (req.get_header_value("Expect") == "100-continue") { - auto status = 100; - if (expect_100_continue_handler_) { - status = expect_100_continue_handler_(req, res); - } - switch (status) { - case 100: - case 417: - strm.write_format("HTTP/1.1 %d %s\r\n\r\n", status, - detail::status_message(status)); - break; - default: return write_response(strm, close_connection, req, res); - } - } - - // Rounting - bool routed = false; -#ifdef CPPHTTPLIB_NO_EXCEPTIONS - routed = routing(req, res, strm); -#else - try { - routed = routing(req, res, strm); - } catch (std::exception &e) { - if (exception_handler_) { - auto ep = std::current_exception(); - exception_handler_(req, res, ep); - routed = true; - } else { - res.status = 500; - std::string val; - auto s = e.what(); - for (size_t i = 0; s[i]; i++) { - switch (s[i]) { - case '\r': val += "\\r"; break; - case '\n': val += "\\n"; break; - default: val += s[i]; break; - } - } - res.set_header("EXCEPTION_WHAT", val); - } - } catch (...) { - if (exception_handler_) { - auto ep = std::current_exception(); - exception_handler_(req, res, ep); - routed = true; - } else { - res.status = 500; - res.set_header("EXCEPTION_WHAT", "UNKNOWN"); - } - } -#endif - - if (routed) { - if (res.status == -1) { res.status = req.ranges.empty() ? 200 : 206; } - return write_response_with_content(strm, close_connection, req, res); - } else { - if (res.status == -1) { res.status = 404; } - return write_response(strm, close_connection, req, res); - } -} - -inline bool Server::is_valid() const { return true; } - -inline bool Server::process_and_close_socket(socket_t sock) { - auto ret = detail::process_server_socket( - svr_sock_, sock, keep_alive_max_count_, keep_alive_timeout_sec_, - read_timeout_sec_, read_timeout_usec_, write_timeout_sec_, - write_timeout_usec_, - [this](Stream &strm, bool close_connection, bool &connection_closed) { - return process_request(strm, close_connection, connection_closed, - nullptr); - }); - - detail::shutdown_socket(sock); - detail::close_socket(sock); - return ret; -} - -// HTTP client implementation -inline ClientImpl::ClientImpl(const std::string &host) - : ClientImpl(host, 80, std::string(), std::string()) {} - -inline ClientImpl::ClientImpl(const std::string &host, int port) - : ClientImpl(host, port, std::string(), std::string()) {} - -inline ClientImpl::ClientImpl(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path) - : host_(host), port_(port), - host_and_port_(adjust_host_string(host) + ":" + std::to_string(port)), - client_cert_path_(client_cert_path), client_key_path_(client_key_path) {} - -inline ClientImpl::~ClientImpl() { - std::lock_guard guard(socket_mutex_); - shutdown_socket(socket_); - close_socket(socket_); -} - -inline bool ClientImpl::is_valid() const { return true; } - -inline void ClientImpl::copy_settings(const ClientImpl &rhs) { - client_cert_path_ = rhs.client_cert_path_; - client_key_path_ = rhs.client_key_path_; - connection_timeout_sec_ = rhs.connection_timeout_sec_; - read_timeout_sec_ = rhs.read_timeout_sec_; - read_timeout_usec_ = rhs.read_timeout_usec_; - write_timeout_sec_ = rhs.write_timeout_sec_; - write_timeout_usec_ = rhs.write_timeout_usec_; - basic_auth_username_ = rhs.basic_auth_username_; - basic_auth_password_ = rhs.basic_auth_password_; - bearer_token_auth_token_ = rhs.bearer_token_auth_token_; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - digest_auth_username_ = rhs.digest_auth_username_; - digest_auth_password_ = rhs.digest_auth_password_; -#endif - keep_alive_ = rhs.keep_alive_; - follow_location_ = rhs.follow_location_; - url_encode_ = rhs.url_encode_; - address_family_ = rhs.address_family_; - tcp_nodelay_ = rhs.tcp_nodelay_; - socket_options_ = rhs.socket_options_; - compress_ = rhs.compress_; - decompress_ = rhs.decompress_; - interface_ = rhs.interface_; - proxy_host_ = rhs.proxy_host_; - proxy_port_ = rhs.proxy_port_; - proxy_basic_auth_username_ = rhs.proxy_basic_auth_username_; - proxy_basic_auth_password_ = rhs.proxy_basic_auth_password_; - proxy_bearer_token_auth_token_ = rhs.proxy_bearer_token_auth_token_; -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - proxy_digest_auth_username_ = rhs.proxy_digest_auth_username_; - proxy_digest_auth_password_ = rhs.proxy_digest_auth_password_; -#endif -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - ca_cert_file_path_ = rhs.ca_cert_file_path_; - ca_cert_dir_path_ = rhs.ca_cert_dir_path_; - ca_cert_store_ = rhs.ca_cert_store_; -#endif -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - server_certificate_verification_ = rhs.server_certificate_verification_; -#endif - logger_ = rhs.logger_; -} - -inline socket_t ClientImpl::create_client_socket(Error &error) const { - if (!proxy_host_.empty() && proxy_port_ != -1) { - return detail::create_client_socket( - proxy_host_, std::string(), proxy_port_, address_family_, tcp_nodelay_, - socket_options_, connection_timeout_sec_, connection_timeout_usec_, - read_timeout_sec_, read_timeout_usec_, write_timeout_sec_, - write_timeout_usec_, interface_, error); - } - - // Check is custom IP specified for host_ - std::string ip; - auto it = addr_map_.find(host_); - if (it != addr_map_.end()) ip = it->second; - - return detail::create_client_socket( - host_, ip, port_, address_family_, tcp_nodelay_, socket_options_, - connection_timeout_sec_, connection_timeout_usec_, read_timeout_sec_, - read_timeout_usec_, write_timeout_sec_, write_timeout_usec_, interface_, - error); -} - -inline bool ClientImpl::create_and_connect_socket(Socket &socket, - Error &error) { - auto sock = create_client_socket(error); - if (sock == INVALID_SOCKET) { return false; } - socket.sock = sock; - return true; -} - -inline void ClientImpl::shutdown_ssl(Socket & /*socket*/, - bool /*shutdown_gracefully*/) { - // If there are any requests in flight from threads other than us, then it's - // a thread-unsafe race because individual ssl* objects are not thread-safe. - assert(socket_requests_in_flight_ == 0 || - socket_requests_are_from_thread_ == std::this_thread::get_id()); -} - -inline void ClientImpl::shutdown_socket(Socket &socket) { - if (socket.sock == INVALID_SOCKET) { return; } - detail::shutdown_socket(socket.sock); -} - -inline void ClientImpl::close_socket(Socket &socket) { - // If there are requests in flight in another thread, usually closing - // the socket will be fine and they will simply receive an error when - // using the closed socket, but it is still a bug since rarely the OS - // may reassign the socket id to be used for a new socket, and then - // suddenly they will be operating on a live socket that is different - // than the one they intended! - assert(socket_requests_in_flight_ == 0 || - socket_requests_are_from_thread_ == std::this_thread::get_id()); - - // It is also a bug if this happens while SSL is still active -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - assert(socket.ssl == nullptr); -#endif - if (socket.sock == INVALID_SOCKET) { return; } - detail::close_socket(socket.sock); - socket.sock = INVALID_SOCKET; -} - -inline bool ClientImpl::read_response_line(Stream &strm, const Request &req, - Response &res) { - std::array buf{}; - - detail::stream_line_reader line_reader(strm, buf.data(), buf.size()); - - if (!line_reader.getline()) { return false; } - -#ifdef CPPHTTPLIB_ALLOW_LF_AS_LINE_TERMINATOR - const static std::regex re("(HTTP/1\\.[01]) (\\d{3})(?: (.*?))?\r\n"); -#else - const static std::regex re("(HTTP/1\\.[01]) (\\d{3})(?: (.*?))?\r?\n"); -#endif - - std::cmatch m; - if (!std::regex_match(line_reader.ptr(), m, re)) { - return req.method == "CONNECT"; - } - res.version = std::string(m[1]); - res.status = std::stoi(std::string(m[2])); - res.reason = std::string(m[3]); - - // Ignore '100 Continue' - while (res.status == 100) { - if (!line_reader.getline()) { return false; } // CRLF - if (!line_reader.getline()) { return false; } // next response line - - if (!std::regex_match(line_reader.ptr(), m, re)) { return false; } - res.version = std::string(m[1]); - res.status = std::stoi(std::string(m[2])); - res.reason = std::string(m[3]); - } - - return true; -} - -inline bool ClientImpl::send(Request &req, Response &res, Error &error) { - std::lock_guard request_mutex_guard(request_mutex_); - auto ret = send_(req, res, error); - if (error == Error::SSLPeerCouldBeClosed_) { - assert(!ret); - ret = send_(req, res, error); - } - return ret; -} - -inline bool ClientImpl::send_(Request &req, Response &res, Error &error) { - { - std::lock_guard guard(socket_mutex_); - - // Set this to false immediately - if it ever gets set to true by the end of - // the request, we know another thread instructed us to close the socket. - socket_should_be_closed_when_request_is_done_ = false; - - auto is_alive = false; - if (socket_.is_open()) { - is_alive = detail::is_socket_alive(socket_.sock); - if (!is_alive) { - // Attempt to avoid sigpipe by shutting down nongracefully if it seems - // like the other side has already closed the connection Also, there - // cannot be any requests in flight from other threads since we locked - // request_mutex_, so safe to close everything immediately - const bool shutdown_gracefully = false; - shutdown_ssl(socket_, shutdown_gracefully); - shutdown_socket(socket_); - close_socket(socket_); - } - } - - if (!is_alive) { - if (!create_and_connect_socket(socket_, error)) { return false; } - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - // TODO: refactoring - if (is_ssl()) { - auto &scli = static_cast(*this); - if (!proxy_host_.empty() && proxy_port_ != -1) { - auto success = false; - if (!scli.connect_with_proxy(socket_, res, success, error)) { - return success; - } - } - - if (!scli.initialize_ssl(socket_, error)) { return false; } - } -#endif - } - - // Mark the current socket as being in use so that it cannot be closed by - // anyone else while this request is ongoing, even though we will be - // releasing the mutex. - if (socket_requests_in_flight_ > 1) { - assert(socket_requests_are_from_thread_ == std::this_thread::get_id()); - } - socket_requests_in_flight_ += 1; - socket_requests_are_from_thread_ = std::this_thread::get_id(); - } - - for (const auto &header : default_headers_) { - if (req.headers.find(header.first) == req.headers.end()) { - req.headers.insert(header); - } - } - - auto ret = false; - auto close_connection = !keep_alive_; - - auto se = detail::scope_exit([&]() { - // Briefly lock mutex in order to mark that a request is no longer ongoing - std::lock_guard guard(socket_mutex_); - socket_requests_in_flight_ -= 1; - if (socket_requests_in_flight_ <= 0) { - assert(socket_requests_in_flight_ == 0); - socket_requests_are_from_thread_ = std::thread::id(); - } - - if (socket_should_be_closed_when_request_is_done_ || close_connection || - !ret) { - shutdown_ssl(socket_, true); - shutdown_socket(socket_); - close_socket(socket_); - } - }); - - ret = process_socket(socket_, [&](Stream &strm) { - return handle_request(strm, req, res, close_connection, error); - }); - - if (!ret) { - if (error == Error::Success) { error = Error::Unknown; } - } - - return ret; -} - -inline Result ClientImpl::send(const Request &req) { - auto req2 = req; - return send_(std::move(req2)); -} - -inline Result ClientImpl::send_(Request &&req) { - auto res = detail::make_unique(); - auto error = Error::Success; - auto ret = send(req, *res, error); - return Result{ret ? std::move(res) : nullptr, error, std::move(req.headers)}; -} - -inline bool ClientImpl::handle_request(Stream &strm, Request &req, - Response &res, bool close_connection, - Error &error) { - if (req.path.empty()) { - error = Error::Connection; - return false; - } - - auto req_save = req; - - bool ret; - - if (!is_ssl() && !proxy_host_.empty() && proxy_port_ != -1) { - auto req2 = req; - req2.path = "http://" + host_and_port_ + req.path; - ret = process_request(strm, req2, res, close_connection, error); - req = req2; - req.path = req_save.path; - } else { - ret = process_request(strm, req, res, close_connection, error); - } - - if (!ret) { return false; } - - if (300 < res.status && res.status < 400 && follow_location_) { - req = req_save; - ret = redirect(req, res, error); - } - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - if ((res.status == 401 || res.status == 407) && - req.authorization_count_ < 5) { - auto is_proxy = res.status == 407; - const auto &username = - is_proxy ? proxy_digest_auth_username_ : digest_auth_username_; - const auto &password = - is_proxy ? proxy_digest_auth_password_ : digest_auth_password_; - - if (!username.empty() && !password.empty()) { - std::map auth; - if (detail::parse_www_authenticate(res, auth, is_proxy)) { - Request new_req = req; - new_req.authorization_count_ += 1; - new_req.headers.erase(is_proxy ? "Proxy-Authorization" - : "Authorization"); - new_req.headers.insert(detail::make_digest_authentication_header( - req, auth, new_req.authorization_count_, detail::random_string(10), - username, password, is_proxy)); - - Response new_res; - - ret = send(new_req, new_res, error); - if (ret) { res = new_res; } - } - } - } -#endif - - return ret; -} - -inline bool ClientImpl::redirect(Request &req, Response &res, Error &error) { - if (req.redirect_count_ == 0) { - error = Error::ExceedRedirectCount; - return false; - } - - auto location = res.get_header_value("location"); - if (location.empty()) { return false; } - - const static std::regex re( - R"((?:(https?):)?(?://(?:\[([\d:]+)\]|([^:/?#]+))(?::(\d+))?)?([^?#]*)(\?[^#]*)?(?:#.*)?)"); - - std::smatch m; - if (!std::regex_match(location, m, re)) { return false; } - - auto scheme = is_ssl() ? "https" : "http"; - - auto next_scheme = m[1].str(); - auto next_host = m[2].str(); - if (next_host.empty()) { next_host = m[3].str(); } - auto port_str = m[4].str(); - auto next_path = m[5].str(); - auto next_query = m[6].str(); - - auto next_port = port_; - if (!port_str.empty()) { - next_port = std::stoi(port_str); - } else if (!next_scheme.empty()) { - next_port = next_scheme == "https" ? 443 : 80; - } - - if (next_scheme.empty()) { next_scheme = scheme; } - if (next_host.empty()) { next_host = host_; } - if (next_path.empty()) { next_path = "/"; } - - auto path = detail::decode_url(next_path, true) + next_query; - - if (next_scheme == scheme && next_host == host_ && next_port == port_) { - return detail::redirect(*this, req, res, path, location, error); - } else { - if (next_scheme == "https") { -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - SSLClient cli(next_host.c_str(), next_port); - cli.copy_settings(*this); - if (ca_cert_store_) { cli.set_ca_cert_store(ca_cert_store_); } - return detail::redirect(cli, req, res, path, location, error); -#else - return false; -#endif - } else { - ClientImpl cli(next_host.c_str(), next_port); - cli.copy_settings(*this); - return detail::redirect(cli, req, res, path, location, error); - } - } -} - -inline bool ClientImpl::write_content_with_provider(Stream &strm, - const Request &req, - Error &error) { - auto is_shutting_down = []() { return false; }; - - if (req.is_chunked_content_provider_) { - // TODO: Brotli support - std::unique_ptr compressor; -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - if (compress_) { - compressor = detail::make_unique(); - } else -#endif - { - compressor = detail::make_unique(); - } - - return detail::write_content_chunked(strm, req.content_provider_, - is_shutting_down, *compressor, error); - } else { - return detail::write_content(strm, req.content_provider_, 0, - req.content_length_, is_shutting_down, error); - } -} - -inline bool ClientImpl::write_request(Stream &strm, Request &req, - bool close_connection, Error &error) { - // Prepare additional headers - if (close_connection) { - if (!req.has_header("Connection")) { - req.headers.emplace("Connection", "close"); - } - } - - if (!req.has_header("Host")) { - if (is_ssl()) { - if (port_ == 443) { - req.headers.emplace("Host", host_); - } else { - req.headers.emplace("Host", host_and_port_); - } - } else { - if (port_ == 80) { - req.headers.emplace("Host", host_); - } else { - req.headers.emplace("Host", host_and_port_); - } - } - } - - if (!req.has_header("Accept")) { req.headers.emplace("Accept", "*/*"); } - -#ifndef CPPHTTPLIB_NO_DEFAULT_USER_AGENT - if (!req.has_header("User-Agent")) { - auto agent = std::string("cpp-httplib/") + CPPHTTPLIB_VERSION; - req.headers.emplace("User-Agent", agent); - } -#endif - - if (req.body.empty()) { - if (req.content_provider_) { - if (!req.is_chunked_content_provider_) { - if (!req.has_header("Content-Length")) { - auto length = std::to_string(req.content_length_); - req.headers.emplace("Content-Length", length); - } - } - } else { - if (req.method == "POST" || req.method == "PUT" || - req.method == "PATCH") { - req.headers.emplace("Content-Length", "0"); - } - } - } else { - if (!req.has_header("Content-Type")) { - req.headers.emplace("Content-Type", "text/plain"); - } - - if (!req.has_header("Content-Length")) { - auto length = std::to_string(req.body.size()); - req.headers.emplace("Content-Length", length); - } - } - - if (!basic_auth_password_.empty() || !basic_auth_username_.empty()) { - if (!req.has_header("Authorization")) { - req.headers.insert(make_basic_authentication_header( - basic_auth_username_, basic_auth_password_, false)); - } - } - - if (!proxy_basic_auth_username_.empty() && - !proxy_basic_auth_password_.empty()) { - if (!req.has_header("Proxy-Authorization")) { - req.headers.insert(make_basic_authentication_header( - proxy_basic_auth_username_, proxy_basic_auth_password_, true)); - } - } - - if (!bearer_token_auth_token_.empty()) { - if (!req.has_header("Authorization")) { - req.headers.insert(make_bearer_token_authentication_header( - bearer_token_auth_token_, false)); - } - } - - if (!proxy_bearer_token_auth_token_.empty()) { - if (!req.has_header("Proxy-Authorization")) { - req.headers.insert(make_bearer_token_authentication_header( - proxy_bearer_token_auth_token_, true)); - } - } - - // Request line and headers - { - detail::BufferStream bstrm; - - const auto &path = url_encode_ ? detail::encode_url(req.path) : req.path; - bstrm.write_format("%s %s HTTP/1.1\r\n", req.method.c_str(), path.c_str()); - - detail::write_headers(bstrm, req.headers); - - // Flush buffer - auto &data = bstrm.get_buffer(); - if (!detail::write_data(strm, data.data(), data.size())) { - error = Error::Write; - return false; - } - } - - // Body - if (req.body.empty()) { - return write_content_with_provider(strm, req, error); - } - - if (!detail::write_data(strm, req.body.data(), req.body.size())) { - error = Error::Write; - return false; - } - - return true; -} - -inline std::unique_ptr ClientImpl::send_with_content_provider( - Request &req, const char *body, size_t content_length, - ContentProvider content_provider, - ContentProviderWithoutLength content_provider_without_length, - const std::string &content_type, Error &error) { - if (!content_type.empty()) { - req.headers.emplace("Content-Type", content_type); - } - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - if (compress_) { req.headers.emplace("Content-Encoding", "gzip"); } -#endif - -#ifdef CPPHTTPLIB_ZLIB_SUPPORT - if (compress_ && !content_provider_without_length) { - // TODO: Brotli support - detail::gzip_compressor compressor; - - if (content_provider) { - auto ok = true; - size_t offset = 0; - DataSink data_sink; - - data_sink.write = [&](const char *data, size_t data_len) -> bool { - if (ok) { - auto last = offset + data_len == content_length; - - auto ret = compressor.compress( - data, data_len, last, - [&](const char *compressed_data, size_t compressed_data_len) { - req.body.append(compressed_data, compressed_data_len); - return true; - }); - - if (ret) { - offset += data_len; - } else { - ok = false; - } - } - return ok; - }; - - while (ok && offset < content_length) { - if (!content_provider(offset, content_length - offset, data_sink)) { - error = Error::Canceled; - return nullptr; - } - } - } else { - if (!compressor.compress(body, content_length, true, - [&](const char *data, size_t data_len) { - req.body.append(data, data_len); - return true; - })) { - error = Error::Compression; - return nullptr; - } - } - } else -#endif - { - if (content_provider) { - req.content_length_ = content_length; - req.content_provider_ = std::move(content_provider); - req.is_chunked_content_provider_ = false; - } else if (content_provider_without_length) { - req.content_length_ = 0; - req.content_provider_ = detail::ContentProviderAdapter( - std::move(content_provider_without_length)); - req.is_chunked_content_provider_ = true; - req.headers.emplace("Transfer-Encoding", "chunked"); - } else { - req.body.assign(body, content_length); - ; - } - } - - auto res = detail::make_unique(); - return send(req, *res, error) ? std::move(res) : nullptr; -} - -inline Result ClientImpl::send_with_content_provider( - const std::string &method, const std::string &path, const Headers &headers, - const char *body, size_t content_length, ContentProvider content_provider, - ContentProviderWithoutLength content_provider_without_length, - const std::string &content_type) { - Request req; - req.method = method; - req.headers = headers; - req.path = path; - - auto error = Error::Success; - - auto res = send_with_content_provider( - req, body, content_length, std::move(content_provider), - std::move(content_provider_without_length), content_type, error); - - return Result{std::move(res), error, std::move(req.headers)}; -} - -inline std::string -ClientImpl::adjust_host_string(const std::string &host) const { - if (host.find(':') != std::string::npos) { return "[" + host + "]"; } - return host; -} - -inline bool ClientImpl::process_request(Stream &strm, Request &req, - Response &res, bool close_connection, - Error &error) { - // Send request - if (!write_request(strm, req, close_connection, error)) { return false; } - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - if (is_ssl()) { - auto is_proxy_enabled = !proxy_host_.empty() && proxy_port_ != -1; - if (!is_proxy_enabled) { - char buf[1]; - if (SSL_peek(socket_.ssl, buf, 1) == 0 && - SSL_get_error(socket_.ssl, 0) == SSL_ERROR_ZERO_RETURN) { - error = Error::SSLPeerCouldBeClosed_; - return false; - } - } - } -#endif - - // Receive response and headers - if (!read_response_line(strm, req, res) || - !detail::read_headers(strm, res.headers)) { - error = Error::Read; - return false; - } - - // Body - if ((res.status != 204) && req.method != "HEAD" && req.method != "CONNECT") { - auto redirect = 300 < res.status && res.status < 400 && follow_location_; - - if (req.response_handler && !redirect) { - if (!req.response_handler(res)) { - error = Error::Canceled; - return false; - } - } - - auto out = - req.content_receiver - ? static_cast( - [&](const char *buf, size_t n, uint64_t off, uint64_t len) { - if (redirect) { return true; } - auto ret = req.content_receiver(buf, n, off, len); - if (!ret) { error = Error::Canceled; } - return ret; - }) - : static_cast( - [&](const char *buf, size_t n, uint64_t /*off*/, - uint64_t /*len*/) { - if (res.body.size() + n > res.body.max_size()) { - return false; - } - res.body.append(buf, n); - return true; - }); - - auto progress = [&](uint64_t current, uint64_t total) { - if (!req.progress || redirect) { return true; } - auto ret = req.progress(current, total); - if (!ret) { error = Error::Canceled; } - return ret; - }; - - int dummy_status; - if (!detail::read_content(strm, res, (std::numeric_limits::max)(), - dummy_status, std::move(progress), std::move(out), - decompress_)) { - if (error != Error::Canceled) { error = Error::Read; } - return false; - } - } - - if (res.get_header_value("Connection") == "close" || - (res.version == "HTTP/1.0" && res.reason != "Connection established")) { - // TODO this requires a not-entirely-obvious chain of calls to be correct - // for this to be safe. Maybe a code refactor (such as moving this out to - // the send function and getting rid of the recursiveness of the mutex) - // could make this more obvious. - - // This is safe to call because process_request is only called by - // handle_request which is only called by send, which locks the request - // mutex during the process. It would be a bug to call it from a different - // thread since it's a thread-safety issue to do these things to the socket - // if another thread is using the socket. - std::lock_guard guard(socket_mutex_); - shutdown_ssl(socket_, true); - shutdown_socket(socket_); - close_socket(socket_); - } - - // Log - if (logger_) { logger_(req, res); } - - return true; -} - -inline ContentProviderWithoutLength ClientImpl::get_multipart_content_provider( - const std::string &boundary, const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items) { - size_t cur_item = 0, cur_start = 0; - // cur_item and cur_start are copied to within the std::function and maintain - // state between successive calls - return [&, cur_item, cur_start](size_t offset, - DataSink &sink) mutable -> bool { - if (!offset && items.size()) { - sink.os << detail::serialize_multipart_formdata(items, boundary, false); - return true; - } else if (cur_item < provider_items.size()) { - if (!cur_start) { - const auto &begin = detail::serialize_multipart_formdata_item_begin( - provider_items[cur_item], boundary); - offset += begin.size(); - cur_start = offset; - sink.os << begin; - } - - DataSink cur_sink; - bool has_data = true; - cur_sink.write = sink.write; - cur_sink.done = [&]() { has_data = false; }; - - if (!provider_items[cur_item].provider(offset - cur_start, cur_sink)) - return false; - - if (!has_data) { - sink.os << detail::serialize_multipart_formdata_item_end(); - cur_item++; - cur_start = 0; - } - return true; - } else { - sink.os << detail::serialize_multipart_formdata_finish(boundary); - sink.done(); - return true; - } - }; -} - -inline bool -ClientImpl::process_socket(const Socket &socket, - std::function callback) { - return detail::process_client_socket( - socket.sock, read_timeout_sec_, read_timeout_usec_, write_timeout_sec_, - write_timeout_usec_, std::move(callback)); -} - -inline bool ClientImpl::is_ssl() const { return false; } - -inline Result ClientImpl::Get(const std::string &path) { - return Get(path, Headers(), Progress()); -} - -inline Result ClientImpl::Get(const std::string &path, Progress progress) { - return Get(path, Headers(), std::move(progress)); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers) { - return Get(path, headers, Progress()); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers, - Progress progress) { - Request req; - req.method = "GET"; - req.path = path; - req.headers = headers; - req.progress = std::move(progress); - - return send_(std::move(req)); -} - -inline Result ClientImpl::Get(const std::string &path, - ContentReceiver content_receiver) { - return Get(path, Headers(), nullptr, std::move(content_receiver), nullptr); -} - -inline Result ClientImpl::Get(const std::string &path, - ContentReceiver content_receiver, - Progress progress) { - return Get(path, Headers(), nullptr, std::move(content_receiver), - std::move(progress)); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver) { - return Get(path, headers, nullptr, std::move(content_receiver), nullptr); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver, - Progress progress) { - return Get(path, headers, nullptr, std::move(content_receiver), - std::move(progress)); -} - -inline Result ClientImpl::Get(const std::string &path, - ResponseHandler response_handler, - ContentReceiver content_receiver) { - return Get(path, Headers(), std::move(response_handler), - std::move(content_receiver), nullptr); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver) { - return Get(path, headers, std::move(response_handler), - std::move(content_receiver), nullptr); -} - -inline Result ClientImpl::Get(const std::string &path, - ResponseHandler response_handler, - ContentReceiver content_receiver, - Progress progress) { - return Get(path, Headers(), std::move(response_handler), - std::move(content_receiver), std::move(progress)); -} - -inline Result ClientImpl::Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver, - Progress progress) { - Request req; - req.method = "GET"; - req.path = path; - req.headers = headers; - req.response_handler = std::move(response_handler); - req.content_receiver = - [content_receiver](const char *data, size_t data_length, - uint64_t /*offset*/, uint64_t /*total_length*/) { - return content_receiver(data, data_length); - }; - req.progress = std::move(progress); - - return send_(std::move(req)); -} - -inline Result ClientImpl::Get(const std::string &path, const Params ¶ms, - const Headers &headers, Progress progress) { - if (params.empty()) { return Get(path, headers); } - - std::string path_with_query = append_query_params(path, params); - return Get(path_with_query.c_str(), headers, progress); -} - -inline Result ClientImpl::Get(const std::string &path, const Params ¶ms, - const Headers &headers, - ContentReceiver content_receiver, - Progress progress) { - return Get(path, params, headers, nullptr, content_receiver, progress); -} - -inline Result ClientImpl::Get(const std::string &path, const Params ¶ms, - const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver, - Progress progress) { - if (params.empty()) { - return Get(path, headers, response_handler, content_receiver, progress); - } - - std::string path_with_query = append_query_params(path, params); - return Get(path_with_query.c_str(), headers, response_handler, - content_receiver, progress); -} - -inline Result ClientImpl::Head(const std::string &path) { - return Head(path, Headers()); -} - -inline Result ClientImpl::Head(const std::string &path, - const Headers &headers) { - Request req; - req.method = "HEAD"; - req.headers = headers; - req.path = path; - - return send_(std::move(req)); -} - -inline Result ClientImpl::Post(const std::string &path) { - return Post(path, std::string(), std::string()); -} - -inline Result ClientImpl::Post(const std::string &path, - const Headers &headers) { - return Post(path, headers, nullptr, 0, std::string()); -} - -inline Result ClientImpl::Post(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return Post(path, Headers(), body, content_length, content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return send_with_content_provider("POST", path, headers, body, content_length, - nullptr, nullptr, content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const std::string &body, - const std::string &content_type) { - return Post(path, Headers(), body, content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return send_with_content_provider("POST", path, headers, body.data(), - body.size(), nullptr, nullptr, - content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Params ¶ms) { - return Post(path, Headers(), params); -} - -inline Result ClientImpl::Post(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return Post(path, Headers(), content_length, std::move(content_provider), - content_type); -} - -inline Result ClientImpl::Post(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return Post(path, Headers(), std::move(content_provider), content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return send_with_content_provider("POST", path, headers, nullptr, - content_length, std::move(content_provider), - nullptr, content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return send_with_content_provider("POST", path, headers, nullptr, 0, nullptr, - std::move(content_provider), content_type); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - const Params ¶ms) { - auto query = detail::params_to_query_str(params); - return Post(path, headers, query, "application/x-www-form-urlencoded"); -} - -inline Result ClientImpl::Post(const std::string &path, - const MultipartFormDataItems &items) { - return Post(path, Headers(), items); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items) { - const auto &boundary = detail::make_multipart_data_boundary(); - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - const auto &body = detail::serialize_multipart_formdata(items, boundary); - return Post(path, headers, body, content_type.c_str()); -} - -inline Result ClientImpl::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const std::string &boundary) { - if (!detail::is_multipart_boundary_chars_valid(boundary)) { - return Result{nullptr, Error::UnsupportedMultipartBoundaryChars}; - } - - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - const auto &body = detail::serialize_multipart_formdata(items, boundary); - return Post(path, headers, body, content_type.c_str()); -} - -inline Result -ClientImpl::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items) { - const auto &boundary = detail::make_multipart_data_boundary(); - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - return send_with_content_provider( - "POST", path, headers, nullptr, 0, nullptr, - get_multipart_content_provider(boundary, items, provider_items), - content_type); -} - -inline Result ClientImpl::Put(const std::string &path) { - return Put(path, std::string(), std::string()); -} - -inline Result ClientImpl::Put(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return Put(path, Headers(), body, content_length, content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return send_with_content_provider("PUT", path, headers, body, content_length, - nullptr, nullptr, content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const std::string &body, - const std::string &content_type) { - return Put(path, Headers(), body, content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return send_with_content_provider("PUT", path, headers, body.data(), - body.size(), nullptr, nullptr, - content_type); -} - -inline Result ClientImpl::Put(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return Put(path, Headers(), content_length, std::move(content_provider), - content_type); -} - -inline Result ClientImpl::Put(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return Put(path, Headers(), std::move(content_provider), content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return send_with_content_provider("PUT", path, headers, nullptr, - content_length, std::move(content_provider), - nullptr, content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return send_with_content_provider("PUT", path, headers, nullptr, 0, nullptr, - std::move(content_provider), content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Params ¶ms) { - return Put(path, Headers(), params); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - const Params ¶ms) { - auto query = detail::params_to_query_str(params); - return Put(path, headers, query, "application/x-www-form-urlencoded"); -} - -inline Result ClientImpl::Put(const std::string &path, - const MultipartFormDataItems &items) { - return Put(path, Headers(), items); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items) { - const auto &boundary = detail::make_multipart_data_boundary(); - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - const auto &body = detail::serialize_multipart_formdata(items, boundary); - return Put(path, headers, body, content_type); -} - -inline Result ClientImpl::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const std::string &boundary) { - if (!detail::is_multipart_boundary_chars_valid(boundary)) { - return Result{nullptr, Error::UnsupportedMultipartBoundaryChars}; - } - - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - const auto &body = detail::serialize_multipart_formdata(items, boundary); - return Put(path, headers, body, content_type); -} - -inline Result -ClientImpl::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items) { - const auto &boundary = detail::make_multipart_data_boundary(); - const auto &content_type = - detail::serialize_multipart_formdata_get_content_type(boundary); - return send_with_content_provider( - "PUT", path, headers, nullptr, 0, nullptr, - get_multipart_content_provider(boundary, items, provider_items), - content_type); -} -inline Result ClientImpl::Patch(const std::string &path) { - return Patch(path, std::string(), std::string()); -} - -inline Result ClientImpl::Patch(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return Patch(path, Headers(), body, content_length, content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return send_with_content_provider("PATCH", path, headers, body, - content_length, nullptr, nullptr, - content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, - const std::string &body, - const std::string &content_type) { - return Patch(path, Headers(), body, content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return send_with_content_provider("PATCH", path, headers, body.data(), - body.size(), nullptr, nullptr, - content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return Patch(path, Headers(), content_length, std::move(content_provider), - content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return Patch(path, Headers(), std::move(content_provider), content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return send_with_content_provider("PATCH", path, headers, nullptr, - content_length, std::move(content_provider), - nullptr, content_type); -} - -inline Result ClientImpl::Patch(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return send_with_content_provider("PATCH", path, headers, nullptr, 0, nullptr, - std::move(content_provider), content_type); -} - -inline Result ClientImpl::Delete(const std::string &path) { - return Delete(path, Headers(), std::string(), std::string()); -} - -inline Result ClientImpl::Delete(const std::string &path, - const Headers &headers) { - return Delete(path, headers, std::string(), std::string()); -} - -inline Result ClientImpl::Delete(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return Delete(path, Headers(), body, content_length, content_type); -} - -inline Result ClientImpl::Delete(const std::string &path, - const Headers &headers, const char *body, - size_t content_length, - const std::string &content_type) { - Request req; - req.method = "DELETE"; - req.headers = headers; - req.path = path; - - if (!content_type.empty()) { - req.headers.emplace("Content-Type", content_type); - } - req.body.assign(body, content_length); - - return send_(std::move(req)); -} - -inline Result ClientImpl::Delete(const std::string &path, - const std::string &body, - const std::string &content_type) { - return Delete(path, Headers(), body.data(), body.size(), content_type); -} - -inline Result ClientImpl::Delete(const std::string &path, - const Headers &headers, - const std::string &body, - const std::string &content_type) { - return Delete(path, headers, body.data(), body.size(), content_type); -} - -inline Result ClientImpl::Options(const std::string &path) { - return Options(path, Headers()); -} - -inline Result ClientImpl::Options(const std::string &path, - const Headers &headers) { - Request req; - req.method = "OPTIONS"; - req.headers = headers; - req.path = path; - - return send_(std::move(req)); -} - -inline size_t ClientImpl::is_socket_open() const { - std::lock_guard guard(socket_mutex_); - return socket_.is_open(); -} - -inline socket_t ClientImpl::socket() const { return socket_.sock; } - -inline void ClientImpl::stop() { - std::lock_guard guard(socket_mutex_); - - // If there is anything ongoing right now, the ONLY thread-safe thing we can - // do is to shutdown_socket, so that threads using this socket suddenly - // discover they can't read/write any more and error out. Everything else - // (closing the socket, shutting ssl down) is unsafe because these actions are - // not thread-safe. - if (socket_requests_in_flight_ > 0) { - shutdown_socket(socket_); - - // Aside from that, we set a flag for the socket to be closed when we're - // done. - socket_should_be_closed_when_request_is_done_ = true; - return; - } - - // Otherwise, still holding the mutex, we can shut everything down ourselves - shutdown_ssl(socket_, true); - shutdown_socket(socket_); - close_socket(socket_); -} - -inline void ClientImpl::set_connection_timeout(time_t sec, time_t usec) { - connection_timeout_sec_ = sec; - connection_timeout_usec_ = usec; -} - -inline void ClientImpl::set_read_timeout(time_t sec, time_t usec) { - read_timeout_sec_ = sec; - read_timeout_usec_ = usec; -} - -inline void ClientImpl::set_write_timeout(time_t sec, time_t usec) { - write_timeout_sec_ = sec; - write_timeout_usec_ = usec; -} - -inline void ClientImpl::set_basic_auth(const std::string &username, - const std::string &password) { - basic_auth_username_ = username; - basic_auth_password_ = password; -} - -inline void ClientImpl::set_bearer_token_auth(const std::string &token) { - bearer_token_auth_token_ = token; -} - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void ClientImpl::set_digest_auth(const std::string &username, - const std::string &password) { - digest_auth_username_ = username; - digest_auth_password_ = password; -} -#endif - -inline void ClientImpl::set_keep_alive(bool on) { keep_alive_ = on; } - -inline void ClientImpl::set_follow_location(bool on) { follow_location_ = on; } - -inline void ClientImpl::set_url_encode(bool on) { url_encode_ = on; } - -inline void -ClientImpl::set_hostname_addr_map(std::map addr_map) { - addr_map_ = std::move(addr_map); -} - -inline void ClientImpl::set_default_headers(Headers headers) { - default_headers_ = std::move(headers); -} - -inline void ClientImpl::set_address_family(int family) { - address_family_ = family; -} - -inline void ClientImpl::set_tcp_nodelay(bool on) { tcp_nodelay_ = on; } - -inline void ClientImpl::set_socket_options(SocketOptions socket_options) { - socket_options_ = std::move(socket_options); -} - -inline void ClientImpl::set_compress(bool on) { compress_ = on; } - -inline void ClientImpl::set_decompress(bool on) { decompress_ = on; } - -inline void ClientImpl::set_interface(const std::string &intf) { - interface_ = intf; -} - -inline void ClientImpl::set_proxy(const std::string &host, int port) { - proxy_host_ = host; - proxy_port_ = port; -} - -inline void ClientImpl::set_proxy_basic_auth(const std::string &username, - const std::string &password) { - proxy_basic_auth_username_ = username; - proxy_basic_auth_password_ = password; -} - -inline void ClientImpl::set_proxy_bearer_token_auth(const std::string &token) { - proxy_bearer_token_auth_token_ = token; -} - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void ClientImpl::set_proxy_digest_auth(const std::string &username, - const std::string &password) { - proxy_digest_auth_username_ = username; - proxy_digest_auth_password_ = password; -} -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void ClientImpl::set_ca_cert_path(const std::string &ca_cert_file_path, - const std::string &ca_cert_dir_path) { - ca_cert_file_path_ = ca_cert_file_path; - ca_cert_dir_path_ = ca_cert_dir_path; -} - -inline void ClientImpl::set_ca_cert_store(X509_STORE *ca_cert_store) { - if (ca_cert_store && ca_cert_store != ca_cert_store_) { - ca_cert_store_ = ca_cert_store; - } -} -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void ClientImpl::enable_server_certificate_verification(bool enabled) { - server_certificate_verification_ = enabled; -} -#endif - -inline void ClientImpl::set_logger(Logger logger) { - logger_ = std::move(logger); -} - -/* - * SSL Implementation - */ -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -namespace detail { - -template -inline SSL *ssl_new(socket_t sock, SSL_CTX *ctx, std::mutex &ctx_mutex, - U SSL_connect_or_accept, V setup) { - SSL *ssl = nullptr; - { - std::lock_guard guard(ctx_mutex); - ssl = SSL_new(ctx); - } - - if (ssl) { - set_nonblocking(sock, true); - auto bio = BIO_new_socket(static_cast(sock), BIO_NOCLOSE); - BIO_set_nbio(bio, 1); - SSL_set_bio(ssl, bio, bio); - - if (!setup(ssl) || SSL_connect_or_accept(ssl) != 1) { - SSL_shutdown(ssl); - { - std::lock_guard guard(ctx_mutex); - SSL_free(ssl); - } - set_nonblocking(sock, false); - return nullptr; - } - BIO_set_nbio(bio, 0); - set_nonblocking(sock, false); - } - - return ssl; -} - -inline void ssl_delete(std::mutex &ctx_mutex, SSL *ssl, - bool shutdown_gracefully) { - // sometimes we may want to skip this to try to avoid SIGPIPE if we know - // the remote has closed the network connection - // Note that it is not always possible to avoid SIGPIPE, this is merely a - // best-efforts. - if (shutdown_gracefully) { SSL_shutdown(ssl); } - - std::lock_guard guard(ctx_mutex); - SSL_free(ssl); -} - -template -bool ssl_connect_or_accept_nonblocking(socket_t sock, SSL *ssl, - U ssl_connect_or_accept, - time_t timeout_sec, - time_t timeout_usec) { - int res = 0; - while ((res = ssl_connect_or_accept(ssl)) != 1) { - auto err = SSL_get_error(ssl, res); - switch (err) { - case SSL_ERROR_WANT_READ: - if (select_read(sock, timeout_sec, timeout_usec) > 0) { continue; } - break; - case SSL_ERROR_WANT_WRITE: - if (select_write(sock, timeout_sec, timeout_usec) > 0) { continue; } - break; - default: break; - } - return false; - } - return true; -} - -template -inline bool process_server_socket_ssl( - const std::atomic &svr_sock, SSL *ssl, socket_t sock, - size_t keep_alive_max_count, time_t keep_alive_timeout_sec, - time_t read_timeout_sec, time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, T callback) { - return process_server_socket_core( - svr_sock, sock, keep_alive_max_count, keep_alive_timeout_sec, - [&](bool close_connection, bool &connection_closed) { - SSLSocketStream strm(sock, ssl, read_timeout_sec, read_timeout_usec, - write_timeout_sec, write_timeout_usec); - return callback(strm, close_connection, connection_closed); - }); -} - -template -inline bool -process_client_socket_ssl(SSL *ssl, socket_t sock, time_t read_timeout_sec, - time_t read_timeout_usec, time_t write_timeout_sec, - time_t write_timeout_usec, T callback) { - SSLSocketStream strm(sock, ssl, read_timeout_sec, read_timeout_usec, - write_timeout_sec, write_timeout_usec); - return callback(strm); -} - -class SSLInit { -public: - SSLInit() { - OPENSSL_init_ssl( - OPENSSL_INIT_LOAD_SSL_STRINGS | OPENSSL_INIT_LOAD_CRYPTO_STRINGS, NULL); - } -}; - -// SSL socket stream implementation -inline SSLSocketStream::SSLSocketStream(socket_t sock, SSL *ssl, - time_t read_timeout_sec, - time_t read_timeout_usec, - time_t write_timeout_sec, - time_t write_timeout_usec) - : sock_(sock), ssl_(ssl), read_timeout_sec_(read_timeout_sec), - read_timeout_usec_(read_timeout_usec), - write_timeout_sec_(write_timeout_sec), - write_timeout_usec_(write_timeout_usec) { - SSL_clear_mode(ssl, SSL_MODE_AUTO_RETRY); -} - -inline SSLSocketStream::~SSLSocketStream() {} - -inline bool SSLSocketStream::is_readable() const { - return detail::select_read(sock_, read_timeout_sec_, read_timeout_usec_) > 0; -} - -inline bool SSLSocketStream::is_writable() const { - return select_write(sock_, write_timeout_sec_, write_timeout_usec_) > 0 && - is_socket_alive(sock_); -} - -inline ssize_t SSLSocketStream::read(char *ptr, size_t size) { - if (SSL_pending(ssl_) > 0) { - return SSL_read(ssl_, ptr, static_cast(size)); - } else if (is_readable()) { - auto ret = SSL_read(ssl_, ptr, static_cast(size)); - if (ret < 0) { - auto err = SSL_get_error(ssl_, ret); - int n = 1000; -#ifdef _WIN32 - while (--n >= 0 && (err == SSL_ERROR_WANT_READ || - (err == SSL_ERROR_SYSCALL && - WSAGetLastError() == WSAETIMEDOUT))) { -#else - while (--n >= 0 && err == SSL_ERROR_WANT_READ) { -#endif - if (SSL_pending(ssl_) > 0) { - return SSL_read(ssl_, ptr, static_cast(size)); - } else if (is_readable()) { - std::this_thread::sleep_for(std::chrono::milliseconds(1)); - ret = SSL_read(ssl_, ptr, static_cast(size)); - if (ret >= 0) { return ret; } - err = SSL_get_error(ssl_, ret); - } else { - return -1; - } - } - } - return ret; - } - return -1; -} - -inline ssize_t SSLSocketStream::write(const char *ptr, size_t size) { - if (is_writable()) { - auto handle_size = static_cast( - std::min(size, (std::numeric_limits::max)())); - - auto ret = SSL_write(ssl_, ptr, static_cast(handle_size)); - if (ret < 0) { - auto err = SSL_get_error(ssl_, ret); - int n = 1000; -#ifdef _WIN32 - while (--n >= 0 && (err == SSL_ERROR_WANT_WRITE || - (err == SSL_ERROR_SYSCALL && - WSAGetLastError() == WSAETIMEDOUT))) { -#else - while (--n >= 0 && err == SSL_ERROR_WANT_WRITE) { -#endif - if (is_writable()) { - std::this_thread::sleep_for(std::chrono::milliseconds(1)); - ret = SSL_write(ssl_, ptr, static_cast(handle_size)); - if (ret >= 0) { return ret; } - err = SSL_get_error(ssl_, ret); - } else { - return -1; - } - } - } - return ret; - } - return -1; -} - -inline void SSLSocketStream::get_remote_ip_and_port(std::string &ip, - int &port) const { - detail::get_remote_ip_and_port(sock_, ip, port); -} - -inline void SSLSocketStream::get_local_ip_and_port(std::string &ip, - int &port) const { - detail::get_local_ip_and_port(sock_, ip, port); -} - -inline socket_t SSLSocketStream::socket() const { return sock_; } - -static SSLInit sslinit_; - -} // namespace detail - -// SSL HTTP server implementation -inline SSLServer::SSLServer(const char *cert_path, const char *private_key_path, - const char *client_ca_cert_file_path, - const char *client_ca_cert_dir_path, - const char *private_key_password) { - ctx_ = SSL_CTX_new(TLS_server_method()); - - if (ctx_) { - SSL_CTX_set_options(ctx_, - SSL_OP_NO_COMPRESSION | - SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION); - - SSL_CTX_set_min_proto_version(ctx_, TLS1_1_VERSION); - - // add default password callback before opening encrypted private key - if (private_key_password != nullptr && (private_key_password[0] != '\0')) { - SSL_CTX_set_default_passwd_cb_userdata(ctx_, - (char *)private_key_password); - } - - if (SSL_CTX_use_certificate_chain_file(ctx_, cert_path) != 1 || - SSL_CTX_use_PrivateKey_file(ctx_, private_key_path, SSL_FILETYPE_PEM) != - 1) { - SSL_CTX_free(ctx_); - ctx_ = nullptr; - } else if (client_ca_cert_file_path || client_ca_cert_dir_path) { - SSL_CTX_load_verify_locations(ctx_, client_ca_cert_file_path, - client_ca_cert_dir_path); - - SSL_CTX_set_verify( - ctx_, SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT, nullptr); - } - } -} - -inline SSLServer::SSLServer(X509 *cert, EVP_PKEY *private_key, - X509_STORE *client_ca_cert_store) { - ctx_ = SSL_CTX_new(TLS_server_method()); - - if (ctx_) { - SSL_CTX_set_options(ctx_, - SSL_OP_NO_COMPRESSION | - SSL_OP_NO_SESSION_RESUMPTION_ON_RENEGOTIATION); - - SSL_CTX_set_min_proto_version(ctx_, TLS1_1_VERSION); - - if (SSL_CTX_use_certificate(ctx_, cert) != 1 || - SSL_CTX_use_PrivateKey(ctx_, private_key) != 1) { - SSL_CTX_free(ctx_); - ctx_ = nullptr; - } else if (client_ca_cert_store) { - SSL_CTX_set_cert_store(ctx_, client_ca_cert_store); - - SSL_CTX_set_verify( - ctx_, SSL_VERIFY_PEER | SSL_VERIFY_FAIL_IF_NO_PEER_CERT, nullptr); - } - } -} - -inline SSLServer::SSLServer( - const std::function &setup_ssl_ctx_callback) { - ctx_ = SSL_CTX_new(TLS_method()); - if (ctx_) { - if (!setup_ssl_ctx_callback(*ctx_)) { - SSL_CTX_free(ctx_); - ctx_ = nullptr; - } - } -} - -inline SSLServer::~SSLServer() { - if (ctx_) { SSL_CTX_free(ctx_); } -} - -inline bool SSLServer::is_valid() const { return ctx_; } - -inline SSL_CTX *SSLServer::ssl_context() const { return ctx_; } - -inline bool SSLServer::process_and_close_socket(socket_t sock) { - auto ssl = detail::ssl_new( - sock, ctx_, ctx_mutex_, - [&](SSL *ssl2) { - return detail::ssl_connect_or_accept_nonblocking( - sock, ssl2, SSL_accept, read_timeout_sec_, read_timeout_usec_); - }, - [](SSL * /*ssl2*/) { return true; }); - - auto ret = false; - if (ssl) { - ret = detail::process_server_socket_ssl( - svr_sock_, ssl, sock, keep_alive_max_count_, keep_alive_timeout_sec_, - read_timeout_sec_, read_timeout_usec_, write_timeout_sec_, - write_timeout_usec_, - [this, ssl](Stream &strm, bool close_connection, - bool &connection_closed) { - return process_request(strm, close_connection, connection_closed, - [&](Request &req) { req.ssl = ssl; }); - }); - - // Shutdown gracefully if the result seemed successful, non-gracefully if - // the connection appeared to be closed. - const bool shutdown_gracefully = ret; - detail::ssl_delete(ctx_mutex_, ssl, shutdown_gracefully); - } - - detail::shutdown_socket(sock); - detail::close_socket(sock); - return ret; -} - -// SSL HTTP client implementation -inline SSLClient::SSLClient(const std::string &host) - : SSLClient(host, 443, std::string(), std::string()) {} - -inline SSLClient::SSLClient(const std::string &host, int port) - : SSLClient(host, port, std::string(), std::string()) {} - -inline SSLClient::SSLClient(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path) - : ClientImpl(host, port, client_cert_path, client_key_path) { - ctx_ = SSL_CTX_new(TLS_client_method()); - - detail::split(&host_[0], &host_[host_.size()], '.', - [&](const char *b, const char *e) { - host_components_.emplace_back(std::string(b, e)); - }); - - if (!client_cert_path.empty() && !client_key_path.empty()) { - if (SSL_CTX_use_certificate_file(ctx_, client_cert_path.c_str(), - SSL_FILETYPE_PEM) != 1 || - SSL_CTX_use_PrivateKey_file(ctx_, client_key_path.c_str(), - SSL_FILETYPE_PEM) != 1) { - SSL_CTX_free(ctx_); - ctx_ = nullptr; - } - } -} - -inline SSLClient::SSLClient(const std::string &host, int port, - X509 *client_cert, EVP_PKEY *client_key) - : ClientImpl(host, port) { - ctx_ = SSL_CTX_new(TLS_client_method()); - - detail::split(&host_[0], &host_[host_.size()], '.', - [&](const char *b, const char *e) { - host_components_.emplace_back(std::string(b, e)); - }); - - if (client_cert != nullptr && client_key != nullptr) { - if (SSL_CTX_use_certificate(ctx_, client_cert) != 1 || - SSL_CTX_use_PrivateKey(ctx_, client_key) != 1) { - SSL_CTX_free(ctx_); - ctx_ = nullptr; - } - } -} - -inline SSLClient::~SSLClient() { - if (ctx_) { SSL_CTX_free(ctx_); } - // Make sure to shut down SSL since shutdown_ssl will resolve to the - // base function rather than the derived function once we get to the - // base class destructor, and won't free the SSL (causing a leak). - shutdown_ssl_impl(socket_, true); -} - -inline bool SSLClient::is_valid() const { return ctx_; } - -inline void SSLClient::set_ca_cert_store(X509_STORE *ca_cert_store) { - if (ca_cert_store) { - if (ctx_) { - if (SSL_CTX_get_cert_store(ctx_) != ca_cert_store) { - // Free memory allocated for old cert and use new store `ca_cert_store` - SSL_CTX_set_cert_store(ctx_, ca_cert_store); - } - } else { - X509_STORE_free(ca_cert_store); - } - } -} - -inline long SSLClient::get_openssl_verify_result() const { - return verify_result_; -} - -inline SSL_CTX *SSLClient::ssl_context() const { return ctx_; } - -inline bool SSLClient::create_and_connect_socket(Socket &socket, Error &error) { - return is_valid() && ClientImpl::create_and_connect_socket(socket, error); -} - -// Assumes that socket_mutex_ is locked and that there are no requests in flight -inline bool SSLClient::connect_with_proxy(Socket &socket, Response &res, - bool &success, Error &error) { - success = true; - Response res2; - if (!detail::process_client_socket( - socket.sock, read_timeout_sec_, read_timeout_usec_, - write_timeout_sec_, write_timeout_usec_, [&](Stream &strm) { - Request req2; - req2.method = "CONNECT"; - req2.path = host_and_port_; - return process_request(strm, req2, res2, false, error); - })) { - // Thread-safe to close everything because we are assuming there are no - // requests in flight - shutdown_ssl(socket, true); - shutdown_socket(socket); - close_socket(socket); - success = false; - return false; - } - - if (res2.status == 407) { - if (!proxy_digest_auth_username_.empty() && - !proxy_digest_auth_password_.empty()) { - std::map auth; - if (detail::parse_www_authenticate(res2, auth, true)) { - Response res3; - if (!detail::process_client_socket( - socket.sock, read_timeout_sec_, read_timeout_usec_, - write_timeout_sec_, write_timeout_usec_, [&](Stream &strm) { - Request req3; - req3.method = "CONNECT"; - req3.path = host_and_port_; - req3.headers.insert(detail::make_digest_authentication_header( - req3, auth, 1, detail::random_string(10), - proxy_digest_auth_username_, proxy_digest_auth_password_, - true)); - return process_request(strm, req3, res3, false, error); - })) { - // Thread-safe to close everything because we are assuming there are - // no requests in flight - shutdown_ssl(socket, true); - shutdown_socket(socket); - close_socket(socket); - success = false; - return false; - } - } - } else { - res = res2; - return false; - } - } - - return true; -} - -inline bool SSLClient::load_certs() { - bool ret = true; - - std::call_once(initialize_cert_, [&]() { - std::lock_guard guard(ctx_mutex_); - if (!ca_cert_file_path_.empty()) { - if (!SSL_CTX_load_verify_locations(ctx_, ca_cert_file_path_.c_str(), - nullptr)) { - ret = false; - } - } else if (!ca_cert_dir_path_.empty()) { - if (!SSL_CTX_load_verify_locations(ctx_, nullptr, - ca_cert_dir_path_.c_str())) { - ret = false; - } - } else { - auto loaded = false; -#ifdef _WIN32 - loaded = - detail::load_system_certs_on_windows(SSL_CTX_get_cert_store(ctx_)); -#elif defined(CPPHTTPLIB_USE_CERTS_FROM_MACOSX_KEYCHAIN) && defined(__APPLE__) -#if TARGET_OS_OSX - loaded = detail::load_system_certs_on_macos(SSL_CTX_get_cert_store(ctx_)); -#endif // TARGET_OS_OSX -#endif // _WIN32 - if (!loaded) { SSL_CTX_set_default_verify_paths(ctx_); } - } - }); - - return ret; -} - -inline bool SSLClient::initialize_ssl(Socket &socket, Error &error) { - auto ssl = detail::ssl_new( - socket.sock, ctx_, ctx_mutex_, - [&](SSL *ssl2) { - if (server_certificate_verification_) { - if (!load_certs()) { - error = Error::SSLLoadingCerts; - return false; - } - SSL_set_verify(ssl2, SSL_VERIFY_NONE, nullptr); - } - - if (!detail::ssl_connect_or_accept_nonblocking( - socket.sock, ssl2, SSL_connect, connection_timeout_sec_, - connection_timeout_usec_)) { - error = Error::SSLConnection; - return false; - } - - if (server_certificate_verification_) { - verify_result_ = SSL_get_verify_result(ssl2); - - if (verify_result_ != X509_V_OK) { - error = Error::SSLServerVerification; - return false; - } - - auto server_cert = SSL_get1_peer_certificate(ssl2); - - if (server_cert == nullptr) { - error = Error::SSLServerVerification; - return false; - } - - if (!verify_host(server_cert)) { - X509_free(server_cert); - error = Error::SSLServerVerification; - return false; - } - X509_free(server_cert); - } - - return true; - }, - [&](SSL *ssl2) { - SSL_set_tlsext_host_name(ssl2, host_.c_str()); - return true; - }); - - if (ssl) { - socket.ssl = ssl; - return true; - } - - shutdown_socket(socket); - close_socket(socket); - return false; -} - -inline void SSLClient::shutdown_ssl(Socket &socket, bool shutdown_gracefully) { - shutdown_ssl_impl(socket, shutdown_gracefully); -} - -inline void SSLClient::shutdown_ssl_impl(Socket &socket, - bool shutdown_gracefully) { - if (socket.sock == INVALID_SOCKET) { - assert(socket.ssl == nullptr); - return; - } - if (socket.ssl) { - detail::ssl_delete(ctx_mutex_, socket.ssl, shutdown_gracefully); - socket.ssl = nullptr; - } - assert(socket.ssl == nullptr); -} - -inline bool -SSLClient::process_socket(const Socket &socket, - std::function callback) { - assert(socket.ssl); - return detail::process_client_socket_ssl( - socket.ssl, socket.sock, read_timeout_sec_, read_timeout_usec_, - write_timeout_sec_, write_timeout_usec_, std::move(callback)); -} - -inline bool SSLClient::is_ssl() const { return true; } - -inline bool SSLClient::verify_host(X509 *server_cert) const { - /* Quote from RFC2818 section 3.1 "Server Identity" - - If a subjectAltName extension of type dNSName is present, that MUST - be used as the identity. Otherwise, the (most specific) Common Name - field in the Subject field of the certificate MUST be used. Although - the use of the Common Name is existing practice, it is deprecated and - Certification Authorities are encouraged to use the dNSName instead. - - Matching is performed using the matching rules specified by - [RFC2459]. If more than one identity of a given type is present in - the certificate (e.g., more than one dNSName name, a match in any one - of the set is considered acceptable.) Names may contain the wildcard - character * which is considered to match any single domain name - component or component fragment. E.g., *.a.com matches foo.a.com but - not bar.foo.a.com. f*.com matches foo.com but not bar.com. - - In some cases, the URI is specified as an IP address rather than a - hostname. In this case, the iPAddress subjectAltName must be present - in the certificate and must exactly match the IP in the URI. - - */ - return verify_host_with_subject_alt_name(server_cert) || - verify_host_with_common_name(server_cert); -} - -inline bool -SSLClient::verify_host_with_subject_alt_name(X509 *server_cert) const { - auto ret = false; - - auto type = GEN_DNS; - - struct in6_addr addr6; - struct in_addr addr; - size_t addr_len = 0; - -#ifndef __MINGW32__ - if (inet_pton(AF_INET6, host_.c_str(), &addr6)) { - type = GEN_IPADD; - addr_len = sizeof(struct in6_addr); - } else if (inet_pton(AF_INET, host_.c_str(), &addr)) { - type = GEN_IPADD; - addr_len = sizeof(struct in_addr); - } -#endif - - auto alt_names = static_cast( - X509_get_ext_d2i(server_cert, NID_subject_alt_name, nullptr, nullptr)); - - if (alt_names) { - auto dsn_matched = false; - auto ip_matched = false; - - auto count = sk_GENERAL_NAME_num(alt_names); - - for (decltype(count) i = 0; i < count && !dsn_matched; i++) { - auto val = sk_GENERAL_NAME_value(alt_names, i); - if (val->type == type) { - auto name = (const char *)ASN1_STRING_get0_data(val->d.ia5); - auto name_len = (size_t)ASN1_STRING_length(val->d.ia5); - - switch (type) { - case GEN_DNS: dsn_matched = check_host_name(name, name_len); break; - - case GEN_IPADD: - if (!memcmp(&addr6, name, addr_len) || - !memcmp(&addr, name, addr_len)) { - ip_matched = true; - } - break; - } - } - } - - if (dsn_matched || ip_matched) { ret = true; } - } - - GENERAL_NAMES_free((STACK_OF(GENERAL_NAME) *)alt_names); - return ret; -} - -inline bool SSLClient::verify_host_with_common_name(X509 *server_cert) const { - const auto subject_name = X509_get_subject_name(server_cert); - - if (subject_name != nullptr) { - char name[BUFSIZ]; - auto name_len = X509_NAME_get_text_by_NID(subject_name, NID_commonName, - name, sizeof(name)); - - if (name_len != -1) { - return check_host_name(name, static_cast(name_len)); - } - } - - return false; -} - -inline bool SSLClient::check_host_name(const char *pattern, - size_t pattern_len) const { - if (host_.size() == pattern_len && host_ == pattern) { return true; } - - // Wildcard match - // https://bugs.launchpad.net/ubuntu/+source/firefox-3.0/+bug/376484 - std::vector pattern_components; - detail::split(&pattern[0], &pattern[pattern_len], '.', - [&](const char *b, const char *e) { - pattern_components.emplace_back(std::string(b, e)); - }); - - if (host_components_.size() != pattern_components.size()) { return false; } - - auto itr = pattern_components.begin(); - for (const auto &h : host_components_) { - auto &p = *itr; - if (p != h && p != "*") { - auto partial_match = (p.size() > 0 && p[p.size() - 1] == '*' && - !p.compare(0, p.size() - 1, h)); - if (!partial_match) { return false; } - } - ++itr; - } - - return true; -} -#endif - -// Universal client implementation -inline Client::Client(const std::string &scheme_host_port) - : Client(scheme_host_port, std::string(), std::string()) {} - -inline Client::Client(const std::string &scheme_host_port, - const std::string &client_cert_path, - const std::string &client_key_path) { - const static std::regex re( - R"((?:([a-z]+):\/\/)?(?:\[([\d:]+)\]|([^:/?#]+))(?::(\d+))?)"); - - std::smatch m; - if (std::regex_match(scheme_host_port, m, re)) { - auto scheme = m[1].str(); - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - if (!scheme.empty() && (scheme != "http" && scheme != "https")) { -#else - if (!scheme.empty() && scheme != "http") { -#endif -#ifndef CPPHTTPLIB_NO_EXCEPTIONS - std::string msg = "'" + scheme + "' scheme is not supported."; - throw std::invalid_argument(msg); -#endif - return; - } - - auto is_ssl = scheme == "https"; - - auto host = m[2].str(); - if (host.empty()) { host = m[3].str(); } - - auto port_str = m[4].str(); - auto port = !port_str.empty() ? std::stoi(port_str) : (is_ssl ? 443 : 80); - - if (is_ssl) { -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT - cli_ = detail::make_unique(host, port, client_cert_path, - client_key_path); - is_ssl_ = is_ssl; -#endif - } else { - cli_ = detail::make_unique(host, port, client_cert_path, - client_key_path); - } - } else { - cli_ = detail::make_unique(scheme_host_port, 80, - client_cert_path, client_key_path); - } -} - -inline Client::Client(const std::string &host, int port) - : cli_(detail::make_unique(host, port)) {} - -inline Client::Client(const std::string &host, int port, - const std::string &client_cert_path, - const std::string &client_key_path) - : cli_(detail::make_unique(host, port, client_cert_path, - client_key_path)) {} - -inline Client::~Client() {} - -inline bool Client::is_valid() const { - return cli_ != nullptr && cli_->is_valid(); -} - -inline Result Client::Get(const std::string &path) { return cli_->Get(path); } -inline Result Client::Get(const std::string &path, const Headers &headers) { - return cli_->Get(path, headers); -} -inline Result Client::Get(const std::string &path, Progress progress) { - return cli_->Get(path, std::move(progress)); -} -inline Result Client::Get(const std::string &path, const Headers &headers, - Progress progress) { - return cli_->Get(path, headers, std::move(progress)); -} -inline Result Client::Get(const std::string &path, - ContentReceiver content_receiver) { - return cli_->Get(path, std::move(content_receiver)); -} -inline Result Client::Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver) { - return cli_->Get(path, headers, std::move(content_receiver)); -} -inline Result Client::Get(const std::string &path, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, std::move(content_receiver), std::move(progress)); -} -inline Result Client::Get(const std::string &path, const Headers &headers, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, headers, std::move(content_receiver), - std::move(progress)); -} -inline Result Client::Get(const std::string &path, - ResponseHandler response_handler, - ContentReceiver content_receiver) { - return cli_->Get(path, std::move(response_handler), - std::move(content_receiver)); -} -inline Result Client::Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver) { - return cli_->Get(path, headers, std::move(response_handler), - std::move(content_receiver)); -} -inline Result Client::Get(const std::string &path, - ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, std::move(response_handler), - std::move(content_receiver), std::move(progress)); -} -inline Result Client::Get(const std::string &path, const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, headers, std::move(response_handler), - std::move(content_receiver), std::move(progress)); -} -inline Result Client::Get(const std::string &path, const Params ¶ms, - const Headers &headers, Progress progress) { - return cli_->Get(path, params, headers, progress); -} -inline Result Client::Get(const std::string &path, const Params ¶ms, - const Headers &headers, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, params, headers, content_receiver, progress); -} -inline Result Client::Get(const std::string &path, const Params ¶ms, - const Headers &headers, - ResponseHandler response_handler, - ContentReceiver content_receiver, Progress progress) { - return cli_->Get(path, params, headers, response_handler, content_receiver, - progress); -} - -inline Result Client::Head(const std::string &path) { return cli_->Head(path); } -inline Result Client::Head(const std::string &path, const Headers &headers) { - return cli_->Head(path, headers); -} - -inline Result Client::Post(const std::string &path) { return cli_->Post(path); } -inline Result Client::Post(const std::string &path, const Headers &headers) { - return cli_->Post(path, headers); -} -inline Result Client::Post(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return cli_->Post(path, body, content_length, content_type); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return cli_->Post(path, headers, body, content_length, content_type); -} -inline Result Client::Post(const std::string &path, const std::string &body, - const std::string &content_type) { - return cli_->Post(path, body, content_type); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return cli_->Post(path, headers, body, content_type); -} -inline Result Client::Post(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Post(path, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Post(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Post(path, std::move(content_provider), content_type); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Post(path, headers, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Post(path, headers, std::move(content_provider), content_type); -} -inline Result Client::Post(const std::string &path, const Params ¶ms) { - return cli_->Post(path, params); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - const Params ¶ms) { - return cli_->Post(path, headers, params); -} -inline Result Client::Post(const std::string &path, - const MultipartFormDataItems &items) { - return cli_->Post(path, items); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items) { - return cli_->Post(path, headers, items); -} -inline Result Client::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const std::string &boundary) { - return cli_->Post(path, headers, items, boundary); -} -inline Result -Client::Post(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items) { - return cli_->Post(path, headers, items, provider_items); -} -inline Result Client::Put(const std::string &path) { return cli_->Put(path); } -inline Result Client::Put(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return cli_->Put(path, body, content_length, content_type); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return cli_->Put(path, headers, body, content_length, content_type); -} -inline Result Client::Put(const std::string &path, const std::string &body, - const std::string &content_type) { - return cli_->Put(path, body, content_type); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return cli_->Put(path, headers, body, content_type); -} -inline Result Client::Put(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Put(path, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Put(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Put(path, std::move(content_provider), content_type); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Put(path, headers, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Put(path, headers, std::move(content_provider), content_type); -} -inline Result Client::Put(const std::string &path, const Params ¶ms) { - return cli_->Put(path, params); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - const Params ¶ms) { - return cli_->Put(path, headers, params); -} -inline Result Client::Put(const std::string &path, - const MultipartFormDataItems &items) { - return cli_->Put(path, items); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items) { - return cli_->Put(path, headers, items); -} -inline Result Client::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const std::string &boundary) { - return cli_->Put(path, headers, items, boundary); -} -inline Result -Client::Put(const std::string &path, const Headers &headers, - const MultipartFormDataItems &items, - const MultipartFormDataProviderItems &provider_items) { - return cli_->Put(path, headers, items, provider_items); -} -inline Result Client::Patch(const std::string &path) { - return cli_->Patch(path); -} -inline Result Client::Patch(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return cli_->Patch(path, body, content_length, content_type); -} -inline Result Client::Patch(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return cli_->Patch(path, headers, body, content_length, content_type); -} -inline Result Client::Patch(const std::string &path, const std::string &body, - const std::string &content_type) { - return cli_->Patch(path, body, content_type); -} -inline Result Client::Patch(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return cli_->Patch(path, headers, body, content_type); -} -inline Result Client::Patch(const std::string &path, size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Patch(path, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Patch(const std::string &path, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Patch(path, std::move(content_provider), content_type); -} -inline Result Client::Patch(const std::string &path, const Headers &headers, - size_t content_length, - ContentProvider content_provider, - const std::string &content_type) { - return cli_->Patch(path, headers, content_length, std::move(content_provider), - content_type); -} -inline Result Client::Patch(const std::string &path, const Headers &headers, - ContentProviderWithoutLength content_provider, - const std::string &content_type) { - return cli_->Patch(path, headers, std::move(content_provider), content_type); -} -inline Result Client::Delete(const std::string &path) { - return cli_->Delete(path); -} -inline Result Client::Delete(const std::string &path, const Headers &headers) { - return cli_->Delete(path, headers); -} -inline Result Client::Delete(const std::string &path, const char *body, - size_t content_length, - const std::string &content_type) { - return cli_->Delete(path, body, content_length, content_type); -} -inline Result Client::Delete(const std::string &path, const Headers &headers, - const char *body, size_t content_length, - const std::string &content_type) { - return cli_->Delete(path, headers, body, content_length, content_type); -} -inline Result Client::Delete(const std::string &path, const std::string &body, - const std::string &content_type) { - return cli_->Delete(path, body, content_type); -} -inline Result Client::Delete(const std::string &path, const Headers &headers, - const std::string &body, - const std::string &content_type) { - return cli_->Delete(path, headers, body, content_type); -} -inline Result Client::Options(const std::string &path) { - return cli_->Options(path); -} -inline Result Client::Options(const std::string &path, const Headers &headers) { - return cli_->Options(path, headers); -} - -inline bool Client::send(Request &req, Response &res, Error &error) { - return cli_->send(req, res, error); -} - -inline Result Client::send(const Request &req) { return cli_->send(req); } - -inline size_t Client::is_socket_open() const { return cli_->is_socket_open(); } - -inline socket_t Client::socket() const { return cli_->socket(); } - -inline void Client::stop() { cli_->stop(); } - -inline void -Client::set_hostname_addr_map(std::map addr_map) { - cli_->set_hostname_addr_map(std::move(addr_map)); -} - -inline void Client::set_default_headers(Headers headers) { - cli_->set_default_headers(std::move(headers)); -} - -inline void Client::set_address_family(int family) { - cli_->set_address_family(family); -} - -inline void Client::set_tcp_nodelay(bool on) { cli_->set_tcp_nodelay(on); } - -inline void Client::set_socket_options(SocketOptions socket_options) { - cli_->set_socket_options(std::move(socket_options)); -} - -inline void Client::set_connection_timeout(time_t sec, time_t usec) { - cli_->set_connection_timeout(sec, usec); -} - -inline void Client::set_read_timeout(time_t sec, time_t usec) { - cli_->set_read_timeout(sec, usec); -} - -inline void Client::set_write_timeout(time_t sec, time_t usec) { - cli_->set_write_timeout(sec, usec); -} - -inline void Client::set_basic_auth(const std::string &username, - const std::string &password) { - cli_->set_basic_auth(username, password); -} -inline void Client::set_bearer_token_auth(const std::string &token) { - cli_->set_bearer_token_auth(token); -} -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void Client::set_digest_auth(const std::string &username, - const std::string &password) { - cli_->set_digest_auth(username, password); -} -#endif - -inline void Client::set_keep_alive(bool on) { cli_->set_keep_alive(on); } -inline void Client::set_follow_location(bool on) { - cli_->set_follow_location(on); -} - -inline void Client::set_url_encode(bool on) { cli_->set_url_encode(on); } - -inline void Client::set_compress(bool on) { cli_->set_compress(on); } - -inline void Client::set_decompress(bool on) { cli_->set_decompress(on); } - -inline void Client::set_interface(const std::string &intf) { - cli_->set_interface(intf); -} - -inline void Client::set_proxy(const std::string &host, int port) { - cli_->set_proxy(host, port); -} -inline void Client::set_proxy_basic_auth(const std::string &username, - const std::string &password) { - cli_->set_proxy_basic_auth(username, password); -} -inline void Client::set_proxy_bearer_token_auth(const std::string &token) { - cli_->set_proxy_bearer_token_auth(token); -} -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void Client::set_proxy_digest_auth(const std::string &username, - const std::string &password) { - cli_->set_proxy_digest_auth(username, password); -} -#endif - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void Client::enable_server_certificate_verification(bool enabled) { - cli_->enable_server_certificate_verification(enabled); -} -#endif - -inline void Client::set_logger(Logger logger) { cli_->set_logger(logger); } - -#ifdef CPPHTTPLIB_OPENSSL_SUPPORT -inline void Client::set_ca_cert_path(const std::string &ca_cert_file_path, - const std::string &ca_cert_dir_path) { - cli_->set_ca_cert_path(ca_cert_file_path, ca_cert_dir_path); -} - -inline void Client::set_ca_cert_store(X509_STORE *ca_cert_store) { - if (is_ssl_) { - static_cast(*cli_).set_ca_cert_store(ca_cert_store); - } else { - cli_->set_ca_cert_store(ca_cert_store); - } -} - -inline long Client::get_openssl_verify_result() const { - if (is_ssl_) { - return static_cast(*cli_).get_openssl_verify_result(); - } - return -1; // NOTE: -1 doesn't match any of X509_V_ERR_??? -} - -inline SSL_CTX *Client::ssl_context() const { - if (is_ssl_) { return static_cast(*cli_).ssl_context(); } - return nullptr; -} -#endif - -// ---------------------------------------------------------------------------- - -} // namespace httplib - -#if defined(_WIN32) && defined(CPPHTTPLIB_USE_POLL) -#undef poll -#endif - -#endif // CPPHTTPLIB_HTTPLIB_H diff --git a/llama.cpp/examples/server/index.html.hpp b/llama.cpp/examples/server/index.html.hpp deleted file mode 100644 index 5bca2a8..0000000 --- a/llama.cpp/examples/server/index.html.hpp +++ /dev/null @@ -1,1153 +0,0 @@ -unsigned char index_html[] = { - 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* documentation of the public API at https://json.nlohmann.me. This URL * - * contains the most recent documentation and should also be applicable to * - * previous versions; documentation for deprecated functions is not * - * removed, but marked deprecated. See "Generate documentation" section in * - * file docs/README.md. * -\****************************************************************************/ - -#ifndef INCLUDE_NLOHMANN_JSON_HPP_ -#define INCLUDE_NLOHMANN_JSON_HPP_ - -#include // all_of, find, for_each -#include // nullptr_t, ptrdiff_t, size_t -#include // hash, less -#include // initializer_list -#ifndef JSON_NO_IO - #include // istream, ostream -#endif // JSON_NO_IO -#include // random_access_iterator_tag -#include // unique_ptr -#include // accumulate -#include // string, stoi, to_string -#include // declval, forward, move, pair, swap -#include // vector - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -// This file contains all macro definitions affecting or depending on the ABI - -#ifndef JSON_SKIP_LIBRARY_VERSION_CHECK - #if defined(NLOHMANN_JSON_VERSION_MAJOR) && defined(NLOHMANN_JSON_VERSION_MINOR) && defined(NLOHMANN_JSON_VERSION_PATCH) - #if NLOHMANN_JSON_VERSION_MAJOR != 3 || NLOHMANN_JSON_VERSION_MINOR != 11 || NLOHMANN_JSON_VERSION_PATCH != 2 - #warning "Already included a different version of the library!" - #endif - #endif -#endif - -#define NLOHMANN_JSON_VERSION_MAJOR 3 // NOLINT(modernize-macro-to-enum) -#define NLOHMANN_JSON_VERSION_MINOR 11 // NOLINT(modernize-macro-to-enum) -#define NLOHMANN_JSON_VERSION_PATCH 2 // NOLINT(modernize-macro-to-enum) - -#ifndef JSON_DIAGNOSTICS - #define JSON_DIAGNOSTICS 0 -#endif - -#ifndef JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON - #define JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON 0 -#endif - -#if JSON_DIAGNOSTICS - #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS _diag -#else - #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS -#endif - -#if JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON - #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON _ldvcmp -#else - #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON -#endif - -#ifndef NLOHMANN_JSON_NAMESPACE_NO_VERSION - #define NLOHMANN_JSON_NAMESPACE_NO_VERSION 0 -#endif - -// Construct the namespace ABI tags component -#define NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b) json_abi ## a ## b -#define NLOHMANN_JSON_ABI_TAGS_CONCAT(a, b) \ - NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b) - -#define NLOHMANN_JSON_ABI_TAGS \ - NLOHMANN_JSON_ABI_TAGS_CONCAT( \ - NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS, \ - NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON) - -// Construct the namespace version component -#define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch) \ - _v ## major ## _ ## minor ## _ ## patch -#define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(major, minor, patch) \ - NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch) - -#if NLOHMANN_JSON_NAMESPACE_NO_VERSION -#define NLOHMANN_JSON_NAMESPACE_VERSION -#else -#define NLOHMANN_JSON_NAMESPACE_VERSION \ - NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(NLOHMANN_JSON_VERSION_MAJOR, \ - NLOHMANN_JSON_VERSION_MINOR, \ - NLOHMANN_JSON_VERSION_PATCH) -#endif - -// Combine namespace components -#define NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b) a ## b -#define NLOHMANN_JSON_NAMESPACE_CONCAT(a, b) \ - NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b) - -#ifndef NLOHMANN_JSON_NAMESPACE -#define NLOHMANN_JSON_NAMESPACE \ - nlohmann::NLOHMANN_JSON_NAMESPACE_CONCAT( \ - NLOHMANN_JSON_ABI_TAGS, \ - NLOHMANN_JSON_NAMESPACE_VERSION) -#endif - -#ifndef NLOHMANN_JSON_NAMESPACE_BEGIN -#define NLOHMANN_JSON_NAMESPACE_BEGIN \ - namespace nlohmann \ - { \ - inline namespace NLOHMANN_JSON_NAMESPACE_CONCAT( \ - NLOHMANN_JSON_ABI_TAGS, \ - NLOHMANN_JSON_NAMESPACE_VERSION) \ - { -#endif - -#ifndef NLOHMANN_JSON_NAMESPACE_END -#define NLOHMANN_JSON_NAMESPACE_END \ - } /* namespace (inline namespace) NOLINT(readability/namespace) */ \ - } // namespace nlohmann -#endif - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // transform -#include // array -#include // forward_list -#include // inserter, front_inserter, end -#include // map -#include // string -#include // tuple, make_tuple -#include // is_arithmetic, is_same, is_enum, underlying_type, is_convertible -#include // unordered_map -#include // pair, declval -#include // valarray - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // nullptr_t -#include // exception -#include // runtime_error -#include // to_string -#include // vector - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // array -#include // size_t -#include // uint8_t -#include // string - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // declval, pair -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -template struct make_void -{ - using type = void; -}; -template using void_t = typename make_void::type; - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -// https://en.cppreference.com/w/cpp/experimental/is_detected -struct nonesuch -{ - nonesuch() = delete; - ~nonesuch() = delete; - nonesuch(nonesuch const&) = delete; - nonesuch(nonesuch const&&) = delete; - void operator=(nonesuch const&) = delete; - void operator=(nonesuch&&) = delete; -}; - -template class Op, - class... Args> -struct detector -{ - using value_t = std::false_type; - using type = Default; -}; - -template class Op, class... Args> -struct detector>, Op, Args...> -{ - using value_t = std::true_type; - using type = Op; -}; - -template class Op, class... Args> -using is_detected = typename detector::value_t; - -template class Op, class... Args> -struct is_detected_lazy : is_detected { }; - -template class Op, class... Args> -using detected_t = typename detector::type; - -template class Op, class... Args> -using detected_or = detector; - -template class Op, class... Args> -using detected_or_t = typename detected_or::type; - -template class Op, class... Args> -using is_detected_exact = std::is_same>; - -template class Op, class... Args> -using is_detected_convertible = - std::is_convertible, To>; - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include - - -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-FileCopyrightText: 2016-2021 Evan Nemerson -// SPDX-License-Identifier: MIT - -/* Hedley - https://nemequ.github.io/hedley - * Created by Evan Nemerson - */ - -#if !defined(JSON_HEDLEY_VERSION) || (JSON_HEDLEY_VERSION < 15) -#if defined(JSON_HEDLEY_VERSION) - #undef JSON_HEDLEY_VERSION -#endif -#define JSON_HEDLEY_VERSION 15 - -#if defined(JSON_HEDLEY_STRINGIFY_EX) - #undef JSON_HEDLEY_STRINGIFY_EX -#endif -#define JSON_HEDLEY_STRINGIFY_EX(x) #x - -#if defined(JSON_HEDLEY_STRINGIFY) - #undef JSON_HEDLEY_STRINGIFY -#endif -#define JSON_HEDLEY_STRINGIFY(x) JSON_HEDLEY_STRINGIFY_EX(x) - -#if defined(JSON_HEDLEY_CONCAT_EX) - #undef JSON_HEDLEY_CONCAT_EX -#endif -#define JSON_HEDLEY_CONCAT_EX(a,b) a##b - -#if defined(JSON_HEDLEY_CONCAT) - #undef JSON_HEDLEY_CONCAT -#endif -#define JSON_HEDLEY_CONCAT(a,b) JSON_HEDLEY_CONCAT_EX(a,b) - -#if defined(JSON_HEDLEY_CONCAT3_EX) - #undef JSON_HEDLEY_CONCAT3_EX -#endif -#define JSON_HEDLEY_CONCAT3_EX(a,b,c) a##b##c - -#if defined(JSON_HEDLEY_CONCAT3) - #undef JSON_HEDLEY_CONCAT3 -#endif -#define JSON_HEDLEY_CONCAT3(a,b,c) JSON_HEDLEY_CONCAT3_EX(a,b,c) - -#if defined(JSON_HEDLEY_VERSION_ENCODE) - #undef JSON_HEDLEY_VERSION_ENCODE -#endif -#define JSON_HEDLEY_VERSION_ENCODE(major,minor,revision) (((major) * 1000000) + ((minor) * 1000) + (revision)) - -#if defined(JSON_HEDLEY_VERSION_DECODE_MAJOR) - #undef JSON_HEDLEY_VERSION_DECODE_MAJOR -#endif -#define JSON_HEDLEY_VERSION_DECODE_MAJOR(version) ((version) / 1000000) - -#if defined(JSON_HEDLEY_VERSION_DECODE_MINOR) - #undef JSON_HEDLEY_VERSION_DECODE_MINOR -#endif -#define JSON_HEDLEY_VERSION_DECODE_MINOR(version) (((version) % 1000000) / 1000) - -#if defined(JSON_HEDLEY_VERSION_DECODE_REVISION) - #undef JSON_HEDLEY_VERSION_DECODE_REVISION -#endif -#define JSON_HEDLEY_VERSION_DECODE_REVISION(version) ((version) % 1000) - -#if defined(JSON_HEDLEY_GNUC_VERSION) - #undef JSON_HEDLEY_GNUC_VERSION -#endif -#if defined(__GNUC__) && defined(__GNUC_PATCHLEVEL__) - #define JSON_HEDLEY_GNUC_VERSION JSON_HEDLEY_VERSION_ENCODE(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__) -#elif defined(__GNUC__) - #define JSON_HEDLEY_GNUC_VERSION JSON_HEDLEY_VERSION_ENCODE(__GNUC__, __GNUC_MINOR__, 0) -#endif - -#if defined(JSON_HEDLEY_GNUC_VERSION_CHECK) - #undef JSON_HEDLEY_GNUC_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_GNUC_VERSION) - #define JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_GNUC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_MSVC_VERSION) - #undef JSON_HEDLEY_MSVC_VERSION -#endif -#if defined(_MSC_FULL_VER) && (_MSC_FULL_VER >= 140000000) && !defined(__ICL) - #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_FULL_VER / 10000000, (_MSC_FULL_VER % 10000000) / 100000, (_MSC_FULL_VER % 100000) / 100) -#elif defined(_MSC_FULL_VER) && !defined(__ICL) - #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_FULL_VER / 1000000, (_MSC_FULL_VER % 1000000) / 10000, (_MSC_FULL_VER % 10000) / 10) -#elif defined(_MSC_VER) && !defined(__ICL) - #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_VER / 100, _MSC_VER % 100, 0) -#endif - -#if defined(JSON_HEDLEY_MSVC_VERSION_CHECK) - #undef JSON_HEDLEY_MSVC_VERSION_CHECK -#endif -#if !defined(JSON_HEDLEY_MSVC_VERSION) - #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (0) -#elif defined(_MSC_VER) && (_MSC_VER >= 1400) - #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_FULL_VER >= ((major * 10000000) + (minor * 100000) + (patch))) -#elif defined(_MSC_VER) && (_MSC_VER >= 1200) - #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_FULL_VER >= ((major * 1000000) + (minor * 10000) + (patch))) -#else - #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_VER >= ((major * 100) + (minor))) -#endif - -#if defined(JSON_HEDLEY_INTEL_VERSION) - #undef JSON_HEDLEY_INTEL_VERSION -#endif -#if defined(__INTEL_COMPILER) && defined(__INTEL_COMPILER_UPDATE) && !defined(__ICL) - #define JSON_HEDLEY_INTEL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER / 100, __INTEL_COMPILER % 100, __INTEL_COMPILER_UPDATE) -#elif defined(__INTEL_COMPILER) && !defined(__ICL) - #define JSON_HEDLEY_INTEL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER / 100, __INTEL_COMPILER % 100, 0) -#endif - -#if defined(JSON_HEDLEY_INTEL_VERSION_CHECK) - #undef JSON_HEDLEY_INTEL_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_INTEL_VERSION) - #define JSON_HEDLEY_INTEL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_INTEL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_INTEL_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_INTEL_CL_VERSION) - #undef JSON_HEDLEY_INTEL_CL_VERSION -#endif -#if defined(__INTEL_COMPILER) && defined(__INTEL_COMPILER_UPDATE) && defined(__ICL) - #define JSON_HEDLEY_INTEL_CL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER, __INTEL_COMPILER_UPDATE, 0) -#endif - -#if defined(JSON_HEDLEY_INTEL_CL_VERSION_CHECK) - #undef JSON_HEDLEY_INTEL_CL_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_INTEL_CL_VERSION) - #define JSON_HEDLEY_INTEL_CL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_INTEL_CL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_INTEL_CL_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_PGI_VERSION) - #undef JSON_HEDLEY_PGI_VERSION -#endif -#if defined(__PGI) && defined(__PGIC__) && defined(__PGIC_MINOR__) && defined(__PGIC_PATCHLEVEL__) - #define JSON_HEDLEY_PGI_VERSION JSON_HEDLEY_VERSION_ENCODE(__PGIC__, __PGIC_MINOR__, __PGIC_PATCHLEVEL__) -#endif - -#if defined(JSON_HEDLEY_PGI_VERSION_CHECK) - #undef JSON_HEDLEY_PGI_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_PGI_VERSION) - #define JSON_HEDLEY_PGI_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_PGI_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_PGI_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_SUNPRO_VERSION) - #undef JSON_HEDLEY_SUNPRO_VERSION -#endif -#if defined(__SUNPRO_C) && (__SUNPRO_C > 0x1000) - #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((((__SUNPRO_C >> 16) & 0xf) * 10) + ((__SUNPRO_C >> 12) & 0xf), (((__SUNPRO_C >> 8) & 0xf) * 10) + ((__SUNPRO_C >> 4) & 0xf), (__SUNPRO_C & 0xf) * 10) -#elif defined(__SUNPRO_C) - #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((__SUNPRO_C >> 8) & 0xf, (__SUNPRO_C >> 4) & 0xf, (__SUNPRO_C) & 0xf) -#elif defined(__SUNPRO_CC) && (__SUNPRO_CC > 0x1000) - #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((((__SUNPRO_CC >> 16) & 0xf) * 10) + ((__SUNPRO_CC >> 12) & 0xf), (((__SUNPRO_CC >> 8) & 0xf) * 10) + ((__SUNPRO_CC >> 4) & 0xf), (__SUNPRO_CC & 0xf) * 10) -#elif defined(__SUNPRO_CC) - #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((__SUNPRO_CC >> 8) & 0xf, (__SUNPRO_CC >> 4) & 0xf, (__SUNPRO_CC) & 0xf) -#endif - -#if defined(JSON_HEDLEY_SUNPRO_VERSION_CHECK) - #undef JSON_HEDLEY_SUNPRO_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_SUNPRO_VERSION) - #define JSON_HEDLEY_SUNPRO_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_SUNPRO_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_SUNPRO_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION) - #undef JSON_HEDLEY_EMSCRIPTEN_VERSION -#endif -#if defined(__EMSCRIPTEN__) - #define JSON_HEDLEY_EMSCRIPTEN_VERSION JSON_HEDLEY_VERSION_ENCODE(__EMSCRIPTEN_major__, __EMSCRIPTEN_minor__, __EMSCRIPTEN_tiny__) -#endif - -#if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK) - #undef JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION) - #define JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_EMSCRIPTEN_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_ARM_VERSION) - #undef JSON_HEDLEY_ARM_VERSION -#endif -#if defined(__CC_ARM) && defined(__ARMCOMPILER_VERSION) - #define JSON_HEDLEY_ARM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ARMCOMPILER_VERSION / 1000000, (__ARMCOMPILER_VERSION % 1000000) / 10000, (__ARMCOMPILER_VERSION % 10000) / 100) -#elif defined(__CC_ARM) && defined(__ARMCC_VERSION) - #define JSON_HEDLEY_ARM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ARMCC_VERSION / 1000000, (__ARMCC_VERSION % 1000000) / 10000, (__ARMCC_VERSION % 10000) / 100) -#endif - -#if defined(JSON_HEDLEY_ARM_VERSION_CHECK) - #undef JSON_HEDLEY_ARM_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_ARM_VERSION) - #define JSON_HEDLEY_ARM_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_ARM_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_ARM_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_IBM_VERSION) - #undef JSON_HEDLEY_IBM_VERSION -#endif -#if defined(__ibmxl__) - #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ibmxl_version__, __ibmxl_release__, __ibmxl_modification__) -#elif defined(__xlC__) && defined(__xlC_ver__) - #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__xlC__ >> 8, __xlC__ & 0xff, (__xlC_ver__ >> 8) & 0xff) -#elif defined(__xlC__) - #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__xlC__ >> 8, __xlC__ & 0xff, 0) -#endif - -#if defined(JSON_HEDLEY_IBM_VERSION_CHECK) - #undef JSON_HEDLEY_IBM_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_IBM_VERSION) - #define JSON_HEDLEY_IBM_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_IBM_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_IBM_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_VERSION) - #undef JSON_HEDLEY_TI_VERSION -#endif -#if \ - defined(__TI_COMPILER_VERSION__) && \ - ( \ - defined(__TMS470__) || defined(__TI_ARM__) || \ - defined(__MSP430__) || \ - defined(__TMS320C2000__) \ - ) -#if (__TI_COMPILER_VERSION__ >= 16000000) - #define JSON_HEDLEY_TI_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif -#endif - -#if defined(JSON_HEDLEY_TI_VERSION_CHECK) - #undef JSON_HEDLEY_TI_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_VERSION) - #define JSON_HEDLEY_TI_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_CL2000_VERSION) - #undef JSON_HEDLEY_TI_CL2000_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && defined(__TMS320C2000__) - #define JSON_HEDLEY_TI_CL2000_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_CL2000_VERSION_CHECK) - #undef JSON_HEDLEY_TI_CL2000_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_CL2000_VERSION) - #define JSON_HEDLEY_TI_CL2000_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL2000_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_CL2000_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_CL430_VERSION) - #undef JSON_HEDLEY_TI_CL430_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && defined(__MSP430__) - #define JSON_HEDLEY_TI_CL430_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_CL430_VERSION_CHECK) - #undef JSON_HEDLEY_TI_CL430_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_CL430_VERSION) - #define JSON_HEDLEY_TI_CL430_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL430_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_CL430_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_ARMCL_VERSION) - #undef JSON_HEDLEY_TI_ARMCL_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && (defined(__TMS470__) || defined(__TI_ARM__)) - #define JSON_HEDLEY_TI_ARMCL_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_ARMCL_VERSION_CHECK) - #undef JSON_HEDLEY_TI_ARMCL_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_ARMCL_VERSION) - #define JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_ARMCL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_CL6X_VERSION) - #undef JSON_HEDLEY_TI_CL6X_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && defined(__TMS320C6X__) - #define JSON_HEDLEY_TI_CL6X_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_CL6X_VERSION_CHECK) - #undef JSON_HEDLEY_TI_CL6X_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_CL6X_VERSION) - #define JSON_HEDLEY_TI_CL6X_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL6X_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_CL6X_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_CL7X_VERSION) - #undef JSON_HEDLEY_TI_CL7X_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && defined(__C7000__) - #define JSON_HEDLEY_TI_CL7X_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_CL7X_VERSION_CHECK) - #undef JSON_HEDLEY_TI_CL7X_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_CL7X_VERSION) - #define JSON_HEDLEY_TI_CL7X_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL7X_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_CL7X_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TI_CLPRU_VERSION) - #undef JSON_HEDLEY_TI_CLPRU_VERSION -#endif -#if defined(__TI_COMPILER_VERSION__) && defined(__PRU__) - #define JSON_HEDLEY_TI_CLPRU_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) -#endif - -#if defined(JSON_HEDLEY_TI_CLPRU_VERSION_CHECK) - #undef JSON_HEDLEY_TI_CLPRU_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TI_CLPRU_VERSION) - #define JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CLPRU_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_CRAY_VERSION) - #undef JSON_HEDLEY_CRAY_VERSION -#endif -#if defined(_CRAYC) - #if defined(_RELEASE_PATCHLEVEL) - #define JSON_HEDLEY_CRAY_VERSION JSON_HEDLEY_VERSION_ENCODE(_RELEASE_MAJOR, _RELEASE_MINOR, _RELEASE_PATCHLEVEL) - #else - #define JSON_HEDLEY_CRAY_VERSION JSON_HEDLEY_VERSION_ENCODE(_RELEASE_MAJOR, _RELEASE_MINOR, 0) - #endif -#endif - -#if defined(JSON_HEDLEY_CRAY_VERSION_CHECK) - #undef JSON_HEDLEY_CRAY_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_CRAY_VERSION) - #define JSON_HEDLEY_CRAY_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_CRAY_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_CRAY_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_IAR_VERSION) - #undef JSON_HEDLEY_IAR_VERSION -#endif -#if defined(__IAR_SYSTEMS_ICC__) - #if __VER__ > 1000 - #define JSON_HEDLEY_IAR_VERSION JSON_HEDLEY_VERSION_ENCODE((__VER__ / 1000000), ((__VER__ / 1000) % 1000), (__VER__ % 1000)) - #else - #define JSON_HEDLEY_IAR_VERSION JSON_HEDLEY_VERSION_ENCODE(__VER__ / 100, __VER__ % 100, 0) - #endif -#endif - -#if defined(JSON_HEDLEY_IAR_VERSION_CHECK) - #undef JSON_HEDLEY_IAR_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_IAR_VERSION) - #define JSON_HEDLEY_IAR_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_IAR_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_IAR_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_TINYC_VERSION) - #undef JSON_HEDLEY_TINYC_VERSION -#endif -#if defined(__TINYC__) - #define JSON_HEDLEY_TINYC_VERSION JSON_HEDLEY_VERSION_ENCODE(__TINYC__ / 1000, (__TINYC__ / 100) % 10, __TINYC__ % 100) -#endif - -#if defined(JSON_HEDLEY_TINYC_VERSION_CHECK) - #undef JSON_HEDLEY_TINYC_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_TINYC_VERSION) - #define JSON_HEDLEY_TINYC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TINYC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_TINYC_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_DMC_VERSION) - #undef JSON_HEDLEY_DMC_VERSION -#endif -#if defined(__DMC__) - #define JSON_HEDLEY_DMC_VERSION JSON_HEDLEY_VERSION_ENCODE(__DMC__ >> 8, (__DMC__ >> 4) & 0xf, __DMC__ & 0xf) -#endif - -#if defined(JSON_HEDLEY_DMC_VERSION_CHECK) - #undef JSON_HEDLEY_DMC_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_DMC_VERSION) - #define JSON_HEDLEY_DMC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_DMC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_DMC_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_COMPCERT_VERSION) - #undef JSON_HEDLEY_COMPCERT_VERSION -#endif -#if defined(__COMPCERT_VERSION__) - #define JSON_HEDLEY_COMPCERT_VERSION JSON_HEDLEY_VERSION_ENCODE(__COMPCERT_VERSION__ / 10000, (__COMPCERT_VERSION__ / 100) % 100, __COMPCERT_VERSION__ % 100) -#endif - -#if defined(JSON_HEDLEY_COMPCERT_VERSION_CHECK) - #undef JSON_HEDLEY_COMPCERT_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_COMPCERT_VERSION) - #define JSON_HEDLEY_COMPCERT_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_COMPCERT_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_COMPCERT_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_PELLES_VERSION) - #undef JSON_HEDLEY_PELLES_VERSION -#endif -#if defined(__POCC__) - #define JSON_HEDLEY_PELLES_VERSION JSON_HEDLEY_VERSION_ENCODE(__POCC__ / 100, __POCC__ % 100, 0) -#endif - -#if defined(JSON_HEDLEY_PELLES_VERSION_CHECK) - #undef JSON_HEDLEY_PELLES_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_PELLES_VERSION) - #define JSON_HEDLEY_PELLES_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_PELLES_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_PELLES_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_MCST_LCC_VERSION) - #undef JSON_HEDLEY_MCST_LCC_VERSION -#endif -#if defined(__LCC__) && defined(__LCC_MINOR__) - #define JSON_HEDLEY_MCST_LCC_VERSION JSON_HEDLEY_VERSION_ENCODE(__LCC__ / 100, __LCC__ % 100, __LCC_MINOR__) -#endif - -#if defined(JSON_HEDLEY_MCST_LCC_VERSION_CHECK) - #undef JSON_HEDLEY_MCST_LCC_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_MCST_LCC_VERSION) - #define JSON_HEDLEY_MCST_LCC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_MCST_LCC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_MCST_LCC_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_GCC_VERSION) - #undef JSON_HEDLEY_GCC_VERSION -#endif -#if \ - defined(JSON_HEDLEY_GNUC_VERSION) && \ - !defined(__clang__) && \ - !defined(JSON_HEDLEY_INTEL_VERSION) && \ - !defined(JSON_HEDLEY_PGI_VERSION) && \ - !defined(JSON_HEDLEY_ARM_VERSION) && \ - !defined(JSON_HEDLEY_CRAY_VERSION) && \ - !defined(JSON_HEDLEY_TI_VERSION) && \ - !defined(JSON_HEDLEY_TI_ARMCL_VERSION) && \ - !defined(JSON_HEDLEY_TI_CL430_VERSION) && \ - !defined(JSON_HEDLEY_TI_CL2000_VERSION) && \ - !defined(JSON_HEDLEY_TI_CL6X_VERSION) && \ - !defined(JSON_HEDLEY_TI_CL7X_VERSION) && \ - !defined(JSON_HEDLEY_TI_CLPRU_VERSION) && \ - !defined(__COMPCERT__) && \ - !defined(JSON_HEDLEY_MCST_LCC_VERSION) - #define JSON_HEDLEY_GCC_VERSION JSON_HEDLEY_GNUC_VERSION -#endif - -#if defined(JSON_HEDLEY_GCC_VERSION_CHECK) - #undef JSON_HEDLEY_GCC_VERSION_CHECK -#endif -#if defined(JSON_HEDLEY_GCC_VERSION) - #define JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_GCC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) -#else - #define JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) (0) -#endif - -#if defined(JSON_HEDLEY_HAS_ATTRIBUTE) - #undef JSON_HEDLEY_HAS_ATTRIBUTE -#endif -#if \ - defined(__has_attribute) && \ - ( \ - (!defined(JSON_HEDLEY_IAR_VERSION) || JSON_HEDLEY_IAR_VERSION_CHECK(8,5,9)) \ - ) -# define JSON_HEDLEY_HAS_ATTRIBUTE(attribute) __has_attribute(attribute) -#else -# define JSON_HEDLEY_HAS_ATTRIBUTE(attribute) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_ATTRIBUTE) - #undef JSON_HEDLEY_GNUC_HAS_ATTRIBUTE -#endif -#if defined(__has_attribute) - #define JSON_HEDLEY_GNUC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) -#else - #define JSON_HEDLEY_GNUC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_ATTRIBUTE) - #undef JSON_HEDLEY_GCC_HAS_ATTRIBUTE -#endif -#if defined(__has_attribute) - #define JSON_HEDLEY_GCC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) -#else - #define JSON_HEDLEY_GCC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_CPP_ATTRIBUTE) - #undef JSON_HEDLEY_HAS_CPP_ATTRIBUTE -#endif -#if \ - defined(__has_cpp_attribute) && \ - defined(__cplusplus) && \ - (!defined(JSON_HEDLEY_SUNPRO_VERSION) || JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0)) - #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) __has_cpp_attribute(attribute) -#else - #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) (0) -#endif - -#if defined(JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS) - #undef JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS -#endif -#if !defined(__cplusplus) || !defined(__has_cpp_attribute) - #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) (0) -#elif \ - !defined(JSON_HEDLEY_PGI_VERSION) && \ - !defined(JSON_HEDLEY_IAR_VERSION) && \ - (!defined(JSON_HEDLEY_SUNPRO_VERSION) || JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0)) && \ - (!defined(JSON_HEDLEY_MSVC_VERSION) || JSON_HEDLEY_MSVC_VERSION_CHECK(19,20,0)) - #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) JSON_HEDLEY_HAS_CPP_ATTRIBUTE(ns::attribute) -#else - #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE) - #undef JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE -#endif -#if defined(__has_cpp_attribute) && defined(__cplusplus) - #define JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) __has_cpp_attribute(attribute) -#else - #define JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE) - #undef JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE -#endif -#if defined(__has_cpp_attribute) && defined(__cplusplus) - #define JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) __has_cpp_attribute(attribute) -#else - #define JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_BUILTIN) - #undef JSON_HEDLEY_HAS_BUILTIN -#endif -#if defined(__has_builtin) - #define JSON_HEDLEY_HAS_BUILTIN(builtin) __has_builtin(builtin) -#else - #define JSON_HEDLEY_HAS_BUILTIN(builtin) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_BUILTIN) - #undef JSON_HEDLEY_GNUC_HAS_BUILTIN -#endif -#if defined(__has_builtin) - #define JSON_HEDLEY_GNUC_HAS_BUILTIN(builtin,major,minor,patch) __has_builtin(builtin) -#else - #define JSON_HEDLEY_GNUC_HAS_BUILTIN(builtin,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_BUILTIN) - #undef JSON_HEDLEY_GCC_HAS_BUILTIN -#endif -#if defined(__has_builtin) - #define JSON_HEDLEY_GCC_HAS_BUILTIN(builtin,major,minor,patch) __has_builtin(builtin) -#else - #define JSON_HEDLEY_GCC_HAS_BUILTIN(builtin,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_FEATURE) - #undef JSON_HEDLEY_HAS_FEATURE -#endif -#if defined(__has_feature) - #define JSON_HEDLEY_HAS_FEATURE(feature) __has_feature(feature) -#else - #define JSON_HEDLEY_HAS_FEATURE(feature) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_FEATURE) - #undef JSON_HEDLEY_GNUC_HAS_FEATURE -#endif -#if defined(__has_feature) - #define JSON_HEDLEY_GNUC_HAS_FEATURE(feature,major,minor,patch) __has_feature(feature) -#else - #define JSON_HEDLEY_GNUC_HAS_FEATURE(feature,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_FEATURE) - #undef JSON_HEDLEY_GCC_HAS_FEATURE -#endif -#if defined(__has_feature) - #define JSON_HEDLEY_GCC_HAS_FEATURE(feature,major,minor,patch) __has_feature(feature) -#else - #define JSON_HEDLEY_GCC_HAS_FEATURE(feature,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_EXTENSION) - #undef JSON_HEDLEY_HAS_EXTENSION -#endif -#if defined(__has_extension) - #define JSON_HEDLEY_HAS_EXTENSION(extension) __has_extension(extension) -#else - #define JSON_HEDLEY_HAS_EXTENSION(extension) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_EXTENSION) - #undef JSON_HEDLEY_GNUC_HAS_EXTENSION -#endif -#if defined(__has_extension) - #define JSON_HEDLEY_GNUC_HAS_EXTENSION(extension,major,minor,patch) __has_extension(extension) -#else - #define JSON_HEDLEY_GNUC_HAS_EXTENSION(extension,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_EXTENSION) - #undef JSON_HEDLEY_GCC_HAS_EXTENSION -#endif -#if defined(__has_extension) - #define JSON_HEDLEY_GCC_HAS_EXTENSION(extension,major,minor,patch) __has_extension(extension) -#else - #define JSON_HEDLEY_GCC_HAS_EXTENSION(extension,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE) - #undef JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE -#endif -#if defined(__has_declspec_attribute) - #define JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) __has_declspec_attribute(attribute) -#else - #define JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE) - #undef JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE -#endif -#if defined(__has_declspec_attribute) - #define JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) __has_declspec_attribute(attribute) -#else - #define JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE) - #undef JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE -#endif -#if defined(__has_declspec_attribute) - #define JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) __has_declspec_attribute(attribute) -#else - #define JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_HAS_WARNING) - #undef JSON_HEDLEY_HAS_WARNING -#endif -#if defined(__has_warning) - #define JSON_HEDLEY_HAS_WARNING(warning) __has_warning(warning) -#else - #define JSON_HEDLEY_HAS_WARNING(warning) (0) -#endif - -#if defined(JSON_HEDLEY_GNUC_HAS_WARNING) - #undef JSON_HEDLEY_GNUC_HAS_WARNING -#endif -#if defined(__has_warning) - #define JSON_HEDLEY_GNUC_HAS_WARNING(warning,major,minor,patch) __has_warning(warning) -#else - #define JSON_HEDLEY_GNUC_HAS_WARNING(warning,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_GCC_HAS_WARNING) - #undef JSON_HEDLEY_GCC_HAS_WARNING -#endif -#if defined(__has_warning) - #define JSON_HEDLEY_GCC_HAS_WARNING(warning,major,minor,patch) __has_warning(warning) -#else - #define JSON_HEDLEY_GCC_HAS_WARNING(warning,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if \ - (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L)) || \ - defined(__clang__) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(18,4,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,7,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(2,0,1) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,1,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,0,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_CRAY_VERSION_CHECK(5,0,0) || \ - JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,17) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(8,0,0) || \ - (JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) && defined(__C99_PRAGMA_OPERATOR)) - #define JSON_HEDLEY_PRAGMA(value) _Pragma(#value) -#elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) - #define JSON_HEDLEY_PRAGMA(value) __pragma(value) -#else - #define JSON_HEDLEY_PRAGMA(value) -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_PUSH) - #undef JSON_HEDLEY_DIAGNOSTIC_PUSH -#endif -#if defined(JSON_HEDLEY_DIAGNOSTIC_POP) - #undef JSON_HEDLEY_DIAGNOSTIC_POP -#endif -#if defined(__clang__) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("clang diagnostic push") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("clang diagnostic pop") -#elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("warning(push)") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("warning(pop)") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("GCC diagnostic push") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("GCC diagnostic pop") -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH __pragma(warning(push)) - #define JSON_HEDLEY_DIAGNOSTIC_POP __pragma(warning(pop)) -#elif JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("push") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("pop") -#elif \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,4,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,1,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("diag_push") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("diag_pop") -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,90,0) - #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("warning(push)") - #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("warning(pop)") -#else - #define JSON_HEDLEY_DIAGNOSTIC_PUSH - #define JSON_HEDLEY_DIAGNOSTIC_POP -#endif - -/* JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_ is for - HEDLEY INTERNAL USE ONLY. API subject to change without notice. */ -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_ -#endif -#if defined(__cplusplus) -# if JSON_HEDLEY_HAS_WARNING("-Wc++98-compat") -# if JSON_HEDLEY_HAS_WARNING("-Wc++17-extensions") -# if JSON_HEDLEY_HAS_WARNING("-Wc++1z-extensions") -# define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ - _Pragma("clang diagnostic ignored \"-Wc++17-extensions\"") \ - _Pragma("clang diagnostic ignored \"-Wc++1z-extensions\"") \ - xpr \ - JSON_HEDLEY_DIAGNOSTIC_POP -# else -# define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ - _Pragma("clang diagnostic ignored \"-Wc++17-extensions\"") \ - xpr \ - JSON_HEDLEY_DIAGNOSTIC_POP -# endif -# else -# define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ - xpr \ - JSON_HEDLEY_DIAGNOSTIC_POP -# endif -# endif -#endif -#if !defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(x) x -#endif - -#if defined(JSON_HEDLEY_CONST_CAST) - #undef JSON_HEDLEY_CONST_CAST -#endif -#if defined(__cplusplus) -# define JSON_HEDLEY_CONST_CAST(T, expr) (const_cast(expr)) -#elif \ - JSON_HEDLEY_HAS_WARNING("-Wcast-qual") || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) -# define JSON_HEDLEY_CONST_CAST(T, expr) (__extension__ ({ \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL \ - ((T) (expr)); \ - JSON_HEDLEY_DIAGNOSTIC_POP \ - })) -#else -# define JSON_HEDLEY_CONST_CAST(T, expr) ((T) (expr)) -#endif - -#if defined(JSON_HEDLEY_REINTERPRET_CAST) - #undef JSON_HEDLEY_REINTERPRET_CAST -#endif -#if defined(__cplusplus) - #define JSON_HEDLEY_REINTERPRET_CAST(T, expr) (reinterpret_cast(expr)) -#else - #define JSON_HEDLEY_REINTERPRET_CAST(T, expr) ((T) (expr)) -#endif - -#if defined(JSON_HEDLEY_STATIC_CAST) - #undef JSON_HEDLEY_STATIC_CAST -#endif -#if defined(__cplusplus) - #define JSON_HEDLEY_STATIC_CAST(T, expr) (static_cast(expr)) -#else - #define JSON_HEDLEY_STATIC_CAST(T, expr) ((T) (expr)) -#endif - -#if defined(JSON_HEDLEY_CPP_CAST) - #undef JSON_HEDLEY_CPP_CAST -#endif -#if defined(__cplusplus) -# if JSON_HEDLEY_HAS_WARNING("-Wold-style-cast") -# define JSON_HEDLEY_CPP_CAST(T, expr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wold-style-cast\"") \ - ((T) (expr)) \ - JSON_HEDLEY_DIAGNOSTIC_POP -# elif JSON_HEDLEY_IAR_VERSION_CHECK(8,3,0) -# define JSON_HEDLEY_CPP_CAST(T, expr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("diag_suppress=Pe137") \ - JSON_HEDLEY_DIAGNOSTIC_POP -# else -# define JSON_HEDLEY_CPP_CAST(T, expr) ((T) (expr)) -# endif -#else -# define JSON_HEDLEY_CPP_CAST(T, expr) (expr) -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wdeprecated-declarations") - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("clang diagnostic ignored \"-Wdeprecated-declarations\"") -#elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("warning(disable:1478 1786)") -#elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED __pragma(warning(disable:1478 1786)) -#elif JSON_HEDLEY_PGI_VERSION_CHECK(20,7,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1216,1444,1445") -#elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1444") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("GCC diagnostic ignored \"-Wdeprecated-declarations\"") -#elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED __pragma(warning(disable:4996)) -#elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1444") -#elif \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1291,1718") -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) && !defined(__cplusplus) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("error_messages(off,E_DEPRECATED_ATT,E_DEPRECATED_ATT_MESS)") -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) && defined(__cplusplus) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("error_messages(off,symdeprecated,symdeprecated2)") -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress=Pe1444,Pe1215") -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,90,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("warn(disable:2241)") -#else - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("clang diagnostic ignored \"-Wunknown-pragmas\"") -#elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("warning(disable:161)") -#elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS __pragma(warning(disable:161)) -#elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 1675") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("GCC diagnostic ignored \"-Wunknown-pragmas\"") -#elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS __pragma(warning(disable:4068)) -#elif \ - JSON_HEDLEY_TI_VERSION_CHECK(16,9,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,3,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 163") -#elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 163") -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress=Pe161") -#elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 161") -#else - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wunknown-attributes") - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("clang diagnostic ignored \"-Wunknown-attributes\"") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("GCC diagnostic ignored \"-Wdeprecated-declarations\"") -#elif JSON_HEDLEY_INTEL_VERSION_CHECK(17,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("warning(disable:1292)") -#elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES __pragma(warning(disable:1292)) -#elif JSON_HEDLEY_MSVC_VERSION_CHECK(19,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES __pragma(warning(disable:5030)) -#elif JSON_HEDLEY_PGI_VERSION_CHECK(20,7,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097,1098") -#elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097") -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,14,0) && defined(__cplusplus) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("error_messages(off,attrskipunsup)") -#elif \ - JSON_HEDLEY_TI_VERSION_CHECK(18,1,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,3,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1173") -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress=Pe1097") -#elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097") -#else - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wcast-qual") - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("clang diagnostic ignored \"-Wcast-qual\"") -#elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("warning(disable:2203 2331)") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("GCC diagnostic ignored \"-Wcast-qual\"") -#else - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL -#endif - -#if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION) - #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wunused-function") - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("clang diagnostic ignored \"-Wunused-function\"") -#elif JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("GCC diagnostic ignored \"-Wunused-function\"") -#elif JSON_HEDLEY_MSVC_VERSION_CHECK(1,0,0) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION __pragma(warning(disable:4505)) -#elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("diag_suppress 3142") -#else - #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION -#endif - -#if defined(JSON_HEDLEY_DEPRECATED) - #undef JSON_HEDLEY_DEPRECATED -#endif -#if defined(JSON_HEDLEY_DEPRECATED_FOR) - #undef JSON_HEDLEY_DEPRECATED_FOR -#endif -#if \ - JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DEPRECATED(since) __declspec(deprecated("Since " # since)) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __declspec(deprecated("Since " #since "; use " #replacement)) -#elif \ - (JSON_HEDLEY_HAS_EXTENSION(attribute_deprecated_with_message) && !defined(JSON_HEDLEY_IAR_VERSION)) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,5,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(18,1,0) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(18,1,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,3,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,3,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_DEPRECATED(since) __attribute__((__deprecated__("Since " #since))) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __attribute__((__deprecated__("Since " #since "; use " #replacement))) -#elif defined(__cplusplus) && (__cplusplus >= 201402L) - #define JSON_HEDLEY_DEPRECATED(since) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[deprecated("Since " #since)]]) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[deprecated("Since " #since "; use " #replacement)]]) -#elif \ - JSON_HEDLEY_HAS_ATTRIBUTE(deprecated) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) - #define JSON_HEDLEY_DEPRECATED(since) __attribute__((__deprecated__)) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __attribute__((__deprecated__)) -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ - JSON_HEDLEY_PELLES_VERSION_CHECK(6,50,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_DEPRECATED(since) __declspec(deprecated) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __declspec(deprecated) -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_DEPRECATED(since) _Pragma("deprecated") - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) _Pragma("deprecated") -#else - #define JSON_HEDLEY_DEPRECATED(since) - #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) -#endif - -#if defined(JSON_HEDLEY_UNAVAILABLE) - #undef JSON_HEDLEY_UNAVAILABLE -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(warning) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_UNAVAILABLE(available_since) __attribute__((__warning__("Not available until " #available_since))) -#else - #define JSON_HEDLEY_UNAVAILABLE(available_since) -#endif - -#if defined(JSON_HEDLEY_WARN_UNUSED_RESULT) - #undef JSON_HEDLEY_WARN_UNUSED_RESULT -#endif -#if defined(JSON_HEDLEY_WARN_UNUSED_RESULT_MSG) - #undef JSON_HEDLEY_WARN_UNUSED_RESULT_MSG -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(warn_unused_result) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0) && defined(__cplusplus)) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_WARN_UNUSED_RESULT __attribute__((__warn_unused_result__)) - #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) __attribute__((__warn_unused_result__)) -#elif (JSON_HEDLEY_HAS_CPP_ATTRIBUTE(nodiscard) >= 201907L) - #define JSON_HEDLEY_WARN_UNUSED_RESULT JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) - #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard(msg)]]) -#elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE(nodiscard) - #define JSON_HEDLEY_WARN_UNUSED_RESULT JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) - #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) -#elif defined(_Check_return_) /* SAL */ - #define JSON_HEDLEY_WARN_UNUSED_RESULT _Check_return_ - #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) _Check_return_ -#else - #define JSON_HEDLEY_WARN_UNUSED_RESULT - #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) -#endif - -#if defined(JSON_HEDLEY_SENTINEL) - #undef JSON_HEDLEY_SENTINEL -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(sentinel) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(5,4,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_SENTINEL(position) __attribute__((__sentinel__(position))) -#else - #define JSON_HEDLEY_SENTINEL(position) -#endif - -#if defined(JSON_HEDLEY_NO_RETURN) - #undef JSON_HEDLEY_NO_RETURN -#endif -#if JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_NO_RETURN __noreturn -#elif \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_NO_RETURN __attribute__((__noreturn__)) -#elif defined(__STDC_VERSION__) && __STDC_VERSION__ >= 201112L - #define JSON_HEDLEY_NO_RETURN _Noreturn -#elif defined(__cplusplus) && (__cplusplus >= 201103L) - #define JSON_HEDLEY_NO_RETURN JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[noreturn]]) -#elif \ - JSON_HEDLEY_HAS_ATTRIBUTE(noreturn) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,2,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) - #define JSON_HEDLEY_NO_RETURN __attribute__((__noreturn__)) -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) - #define JSON_HEDLEY_NO_RETURN _Pragma("does_not_return") -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_NO_RETURN __declspec(noreturn) -#elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,0,0) && defined(__cplusplus) - #define JSON_HEDLEY_NO_RETURN _Pragma("FUNC_NEVER_RETURNS;") -#elif JSON_HEDLEY_COMPCERT_VERSION_CHECK(3,2,0) - #define JSON_HEDLEY_NO_RETURN __attribute((noreturn)) -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(9,0,0) - #define JSON_HEDLEY_NO_RETURN __declspec(noreturn) -#else - #define JSON_HEDLEY_NO_RETURN -#endif - -#if defined(JSON_HEDLEY_NO_ESCAPE) - #undef JSON_HEDLEY_NO_ESCAPE -#endif -#if JSON_HEDLEY_HAS_ATTRIBUTE(noescape) - #define JSON_HEDLEY_NO_ESCAPE __attribute__((__noescape__)) -#else - #define JSON_HEDLEY_NO_ESCAPE -#endif - -#if defined(JSON_HEDLEY_UNREACHABLE) - #undef JSON_HEDLEY_UNREACHABLE -#endif -#if defined(JSON_HEDLEY_UNREACHABLE_RETURN) - #undef JSON_HEDLEY_UNREACHABLE_RETURN -#endif -#if defined(JSON_HEDLEY_ASSUME) - #undef JSON_HEDLEY_ASSUME -#endif -#if \ - JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_ASSUME(expr) __assume(expr) -#elif JSON_HEDLEY_HAS_BUILTIN(__builtin_assume) - #define JSON_HEDLEY_ASSUME(expr) __builtin_assume(expr) -#elif \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) - #if defined(__cplusplus) - #define JSON_HEDLEY_ASSUME(expr) std::_nassert(expr) - #else - #define JSON_HEDLEY_ASSUME(expr) _nassert(expr) - #endif -#endif -#if \ - (JSON_HEDLEY_HAS_BUILTIN(__builtin_unreachable) && (!defined(JSON_HEDLEY_ARM_VERSION))) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,5,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(18,10,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(13,1,5) || \ - JSON_HEDLEY_CRAY_VERSION_CHECK(10,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_UNREACHABLE() __builtin_unreachable() -#elif defined(JSON_HEDLEY_ASSUME) - #define JSON_HEDLEY_UNREACHABLE() JSON_HEDLEY_ASSUME(0) -#endif -#if !defined(JSON_HEDLEY_ASSUME) - #if defined(JSON_HEDLEY_UNREACHABLE) - #define JSON_HEDLEY_ASSUME(expr) JSON_HEDLEY_STATIC_CAST(void, ((expr) ? 1 : (JSON_HEDLEY_UNREACHABLE(), 1))) - #else - #define JSON_HEDLEY_ASSUME(expr) JSON_HEDLEY_STATIC_CAST(void, expr) - #endif -#endif -#if defined(JSON_HEDLEY_UNREACHABLE) - #if \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) - #define JSON_HEDLEY_UNREACHABLE_RETURN(value) return (JSON_HEDLEY_STATIC_CAST(void, JSON_HEDLEY_ASSUME(0)), (value)) - #else - #define JSON_HEDLEY_UNREACHABLE_RETURN(value) JSON_HEDLEY_UNREACHABLE() - #endif -#else - #define JSON_HEDLEY_UNREACHABLE_RETURN(value) return (value) -#endif -#if !defined(JSON_HEDLEY_UNREACHABLE) - #define JSON_HEDLEY_UNREACHABLE() JSON_HEDLEY_ASSUME(0) -#endif - -JSON_HEDLEY_DIAGNOSTIC_PUSH -#if JSON_HEDLEY_HAS_WARNING("-Wpedantic") - #pragma clang diagnostic ignored "-Wpedantic" -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wc++98-compat-pedantic") && defined(__cplusplus) - #pragma clang diagnostic ignored "-Wc++98-compat-pedantic" -#endif -#if JSON_HEDLEY_GCC_HAS_WARNING("-Wvariadic-macros",4,0,0) - #if defined(__clang__) - #pragma clang diagnostic ignored "-Wvariadic-macros" - #elif defined(JSON_HEDLEY_GCC_VERSION) - #pragma GCC diagnostic ignored "-Wvariadic-macros" - #endif -#endif -#if defined(JSON_HEDLEY_NON_NULL) - #undef JSON_HEDLEY_NON_NULL -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(nonnull) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) - #define JSON_HEDLEY_NON_NULL(...) __attribute__((__nonnull__(__VA_ARGS__))) -#else - #define JSON_HEDLEY_NON_NULL(...) -#endif -JSON_HEDLEY_DIAGNOSTIC_POP - -#if defined(JSON_HEDLEY_PRINTF_FORMAT) - #undef JSON_HEDLEY_PRINTF_FORMAT -#endif -#if defined(__MINGW32__) && JSON_HEDLEY_GCC_HAS_ATTRIBUTE(format,4,4,0) && !defined(__USE_MINGW_ANSI_STDIO) - #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(ms_printf, string_idx, first_to_check))) -#elif defined(__MINGW32__) && JSON_HEDLEY_GCC_HAS_ATTRIBUTE(format,4,4,0) && defined(__USE_MINGW_ANSI_STDIO) - #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(gnu_printf, string_idx, first_to_check))) -#elif \ - JSON_HEDLEY_HAS_ATTRIBUTE(format) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(__printf__, string_idx, first_to_check))) -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(6,0,0) - #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __declspec(vaformat(printf,string_idx,first_to_check)) -#else - #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) -#endif - -#if defined(JSON_HEDLEY_CONSTEXPR) - #undef JSON_HEDLEY_CONSTEXPR -#endif -#if defined(__cplusplus) - #if __cplusplus >= 201103L - #define JSON_HEDLEY_CONSTEXPR JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(constexpr) - #endif -#endif -#if !defined(JSON_HEDLEY_CONSTEXPR) - #define JSON_HEDLEY_CONSTEXPR -#endif - -#if defined(JSON_HEDLEY_PREDICT) - #undef JSON_HEDLEY_PREDICT -#endif -#if defined(JSON_HEDLEY_LIKELY) - #undef JSON_HEDLEY_LIKELY -#endif -#if defined(JSON_HEDLEY_UNLIKELY) - #undef JSON_HEDLEY_UNLIKELY -#endif -#if defined(JSON_HEDLEY_UNPREDICTABLE) - #undef JSON_HEDLEY_UNPREDICTABLE -#endif -#if JSON_HEDLEY_HAS_BUILTIN(__builtin_unpredictable) - #define JSON_HEDLEY_UNPREDICTABLE(expr) __builtin_unpredictable((expr)) -#endif -#if \ - (JSON_HEDLEY_HAS_BUILTIN(__builtin_expect_with_probability) && !defined(JSON_HEDLEY_PGI_VERSION)) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(9,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) -# define JSON_HEDLEY_PREDICT(expr, value, probability) __builtin_expect_with_probability( (expr), (value), (probability)) -# define JSON_HEDLEY_PREDICT_TRUE(expr, probability) __builtin_expect_with_probability(!!(expr), 1 , (probability)) -# define JSON_HEDLEY_PREDICT_FALSE(expr, probability) __builtin_expect_with_probability(!!(expr), 0 , (probability)) -# define JSON_HEDLEY_LIKELY(expr) __builtin_expect (!!(expr), 1 ) -# define JSON_HEDLEY_UNLIKELY(expr) __builtin_expect (!!(expr), 0 ) -#elif \ - (JSON_HEDLEY_HAS_BUILTIN(__builtin_expect) && !defined(JSON_HEDLEY_INTEL_CL_VERSION)) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0) && defined(__cplusplus)) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,7,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,1,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,27) || \ - JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) -# define JSON_HEDLEY_PREDICT(expr, expected, probability) \ - (((probability) >= 0.9) ? __builtin_expect((expr), (expected)) : (JSON_HEDLEY_STATIC_CAST(void, expected), (expr))) -# define JSON_HEDLEY_PREDICT_TRUE(expr, probability) \ - (__extension__ ({ \ - double hedley_probability_ = (probability); \ - ((hedley_probability_ >= 0.9) ? __builtin_expect(!!(expr), 1) : ((hedley_probability_ <= 0.1) ? __builtin_expect(!!(expr), 0) : !!(expr))); \ - })) -# define JSON_HEDLEY_PREDICT_FALSE(expr, probability) \ - (__extension__ ({ \ - double hedley_probability_ = (probability); \ - ((hedley_probability_ >= 0.9) ? __builtin_expect(!!(expr), 0) : ((hedley_probability_ <= 0.1) ? __builtin_expect(!!(expr), 1) : !!(expr))); \ - })) -# define JSON_HEDLEY_LIKELY(expr) __builtin_expect(!!(expr), 1) -# define JSON_HEDLEY_UNLIKELY(expr) __builtin_expect(!!(expr), 0) -#else -# define JSON_HEDLEY_PREDICT(expr, expected, probability) (JSON_HEDLEY_STATIC_CAST(void, expected), (expr)) -# define JSON_HEDLEY_PREDICT_TRUE(expr, probability) (!!(expr)) -# define JSON_HEDLEY_PREDICT_FALSE(expr, probability) (!!(expr)) -# define JSON_HEDLEY_LIKELY(expr) (!!(expr)) -# define JSON_HEDLEY_UNLIKELY(expr) (!!(expr)) -#endif -#if !defined(JSON_HEDLEY_UNPREDICTABLE) - #define JSON_HEDLEY_UNPREDICTABLE(expr) JSON_HEDLEY_PREDICT(expr, 1, 0.5) -#endif - -#if defined(JSON_HEDLEY_MALLOC) - #undef JSON_HEDLEY_MALLOC -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(malloc) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(12,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_MALLOC __attribute__((__malloc__)) -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) - #define JSON_HEDLEY_MALLOC _Pragma("returns_new_memory") -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_MALLOC __declspec(restrict) -#else - #define JSON_HEDLEY_MALLOC -#endif - -#if defined(JSON_HEDLEY_PURE) - #undef JSON_HEDLEY_PURE -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(pure) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(2,96,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) -# define JSON_HEDLEY_PURE __attribute__((__pure__)) -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) -# define JSON_HEDLEY_PURE _Pragma("does_not_write_global_data") -#elif defined(__cplusplus) && \ - ( \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(2,0,1) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) \ - ) -# define JSON_HEDLEY_PURE _Pragma("FUNC_IS_PURE;") -#else -# define JSON_HEDLEY_PURE -#endif - -#if defined(JSON_HEDLEY_CONST) - #undef JSON_HEDLEY_CONST -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(const) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(2,5,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_CONST __attribute__((__const__)) -#elif \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) - #define JSON_HEDLEY_CONST _Pragma("no_side_effect") -#else - #define JSON_HEDLEY_CONST JSON_HEDLEY_PURE -#endif - -#if defined(JSON_HEDLEY_RESTRICT) - #undef JSON_HEDLEY_RESTRICT -#endif -#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) && !defined(__cplusplus) - #define JSON_HEDLEY_RESTRICT restrict -#elif \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,4) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,1,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,14,0) && defined(__cplusplus)) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) || \ - defined(__clang__) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_RESTRICT __restrict -#elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,3,0) && !defined(__cplusplus) - #define JSON_HEDLEY_RESTRICT _Restrict -#else - #define JSON_HEDLEY_RESTRICT -#endif - -#if defined(JSON_HEDLEY_INLINE) - #undef JSON_HEDLEY_INLINE -#endif -#if \ - (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L)) || \ - (defined(__cplusplus) && (__cplusplus >= 199711L)) - #define JSON_HEDLEY_INLINE inline -#elif \ - defined(JSON_HEDLEY_GCC_VERSION) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(6,2,0) - #define JSON_HEDLEY_INLINE __inline__ -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(12,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,1,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(3,1,0) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_INLINE __inline -#else - #define JSON_HEDLEY_INLINE -#endif - -#if defined(JSON_HEDLEY_ALWAYS_INLINE) - #undef JSON_HEDLEY_ALWAYS_INLINE -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(always_inline) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) -# define JSON_HEDLEY_ALWAYS_INLINE __attribute__((__always_inline__)) JSON_HEDLEY_INLINE -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(12,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) -# define JSON_HEDLEY_ALWAYS_INLINE __forceinline -#elif defined(__cplusplus) && \ - ( \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) \ - ) -# define JSON_HEDLEY_ALWAYS_INLINE _Pragma("FUNC_ALWAYS_INLINE;") -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) -# define JSON_HEDLEY_ALWAYS_INLINE _Pragma("inline=forced") -#else -# define JSON_HEDLEY_ALWAYS_INLINE JSON_HEDLEY_INLINE -#endif - -#if defined(JSON_HEDLEY_NEVER_INLINE) - #undef JSON_HEDLEY_NEVER_INLINE -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(noinline) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ - JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ - (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ - (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ - (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ - JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ - JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ - JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) - #define JSON_HEDLEY_NEVER_INLINE __attribute__((__noinline__)) -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_NEVER_INLINE __declspec(noinline) -#elif JSON_HEDLEY_PGI_VERSION_CHECK(10,2,0) - #define JSON_HEDLEY_NEVER_INLINE _Pragma("noinline") -#elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,0,0) && defined(__cplusplus) - #define JSON_HEDLEY_NEVER_INLINE _Pragma("FUNC_CANNOT_INLINE;") -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) - #define JSON_HEDLEY_NEVER_INLINE _Pragma("inline=never") -#elif JSON_HEDLEY_COMPCERT_VERSION_CHECK(3,2,0) - #define JSON_HEDLEY_NEVER_INLINE __attribute((noinline)) -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(9,0,0) - #define JSON_HEDLEY_NEVER_INLINE __declspec(noinline) -#else - #define JSON_HEDLEY_NEVER_INLINE -#endif - -#if defined(JSON_HEDLEY_PRIVATE) - #undef JSON_HEDLEY_PRIVATE -#endif -#if defined(JSON_HEDLEY_PUBLIC) - #undef JSON_HEDLEY_PUBLIC -#endif -#if defined(JSON_HEDLEY_IMPORT) - #undef JSON_HEDLEY_IMPORT -#endif -#if defined(_WIN32) || defined(__CYGWIN__) -# define JSON_HEDLEY_PRIVATE -# define JSON_HEDLEY_PUBLIC __declspec(dllexport) -# define JSON_HEDLEY_IMPORT __declspec(dllimport) -#else -# if \ - JSON_HEDLEY_HAS_ATTRIBUTE(visibility) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ - JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ - ( \ - defined(__TI_EABI__) && \ - ( \ - (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) \ - ) \ - ) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) -# define JSON_HEDLEY_PRIVATE __attribute__((__visibility__("hidden"))) -# define JSON_HEDLEY_PUBLIC __attribute__((__visibility__("default"))) -# else -# define JSON_HEDLEY_PRIVATE -# define JSON_HEDLEY_PUBLIC -# endif -# define JSON_HEDLEY_IMPORT extern -#endif - -#if defined(JSON_HEDLEY_NO_THROW) - #undef JSON_HEDLEY_NO_THROW -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(nothrow) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_NO_THROW __attribute__((__nothrow__)) -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(13,1,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) - #define JSON_HEDLEY_NO_THROW __declspec(nothrow) -#else - #define JSON_HEDLEY_NO_THROW -#endif - -#if defined(JSON_HEDLEY_FALL_THROUGH) - #undef JSON_HEDLEY_FALL_THROUGH -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(fallthrough) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(7,0,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_FALL_THROUGH __attribute__((__fallthrough__)) -#elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(clang,fallthrough) - #define JSON_HEDLEY_FALL_THROUGH JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[clang::fallthrough]]) -#elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE(fallthrough) - #define JSON_HEDLEY_FALL_THROUGH JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[fallthrough]]) -#elif defined(__fallthrough) /* SAL */ - #define JSON_HEDLEY_FALL_THROUGH __fallthrough -#else - #define JSON_HEDLEY_FALL_THROUGH -#endif - -#if defined(JSON_HEDLEY_RETURNS_NON_NULL) - #undef JSON_HEDLEY_RETURNS_NON_NULL -#endif -#if \ - JSON_HEDLEY_HAS_ATTRIBUTE(returns_nonnull) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,9,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_RETURNS_NON_NULL __attribute__((__returns_nonnull__)) -#elif defined(_Ret_notnull_) /* SAL */ - #define JSON_HEDLEY_RETURNS_NON_NULL _Ret_notnull_ -#else - #define JSON_HEDLEY_RETURNS_NON_NULL -#endif - -#if defined(JSON_HEDLEY_ARRAY_PARAM) - #undef JSON_HEDLEY_ARRAY_PARAM -#endif -#if \ - defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) && \ - !defined(__STDC_NO_VLA__) && \ - !defined(__cplusplus) && \ - !defined(JSON_HEDLEY_PGI_VERSION) && \ - !defined(JSON_HEDLEY_TINYC_VERSION) - #define JSON_HEDLEY_ARRAY_PARAM(name) (name) -#else - #define JSON_HEDLEY_ARRAY_PARAM(name) -#endif - -#if defined(JSON_HEDLEY_IS_CONSTANT) - #undef JSON_HEDLEY_IS_CONSTANT -#endif -#if defined(JSON_HEDLEY_REQUIRE_CONSTEXPR) - #undef JSON_HEDLEY_REQUIRE_CONSTEXPR -#endif -/* JSON_HEDLEY_IS_CONSTEXPR_ is for - HEDLEY INTERNAL USE ONLY. API subject to change without notice. */ -#if defined(JSON_HEDLEY_IS_CONSTEXPR_) - #undef JSON_HEDLEY_IS_CONSTEXPR_ -#endif -#if \ - JSON_HEDLEY_HAS_BUILTIN(__builtin_constant_p) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,19) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ - JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ - (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) && !defined(__cplusplus)) || \ - JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ - JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) - #define JSON_HEDLEY_IS_CONSTANT(expr) __builtin_constant_p(expr) -#endif -#if !defined(__cplusplus) -# if \ - JSON_HEDLEY_HAS_BUILTIN(__builtin_types_compatible_p) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ - JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(5,4,0) || \ - JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,24) -#if defined(__INTPTR_TYPE__) - #define JSON_HEDLEY_IS_CONSTEXPR_(expr) __builtin_types_compatible_p(__typeof__((1 ? (void*) ((__INTPTR_TYPE__) ((expr) * 0)) : (int*) 0)), int*) -#else - #include - #define JSON_HEDLEY_IS_CONSTEXPR_(expr) __builtin_types_compatible_p(__typeof__((1 ? (void*) ((intptr_t) ((expr) * 0)) : (int*) 0)), int*) -#endif -# elif \ - ( \ - defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L) && \ - !defined(JSON_HEDLEY_SUNPRO_VERSION) && \ - !defined(JSON_HEDLEY_PGI_VERSION) && \ - !defined(JSON_HEDLEY_IAR_VERSION)) || \ - (JSON_HEDLEY_HAS_EXTENSION(c_generic_selections) && !defined(JSON_HEDLEY_IAR_VERSION)) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,9,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(17,0,0) || \ - JSON_HEDLEY_IBM_VERSION_CHECK(12,1,0) || \ - JSON_HEDLEY_ARM_VERSION_CHECK(5,3,0) -#if defined(__INTPTR_TYPE__) - #define JSON_HEDLEY_IS_CONSTEXPR_(expr) _Generic((1 ? (void*) ((__INTPTR_TYPE__) ((expr) * 0)) : (int*) 0), int*: 1, void*: 0) -#else - #include - #define JSON_HEDLEY_IS_CONSTEXPR_(expr) _Generic((1 ? (void*) ((intptr_t) * 0) : (int*) 0), int*: 1, void*: 0) -#endif -# elif \ - defined(JSON_HEDLEY_GCC_VERSION) || \ - defined(JSON_HEDLEY_INTEL_VERSION) || \ - defined(JSON_HEDLEY_TINYC_VERSION) || \ - defined(JSON_HEDLEY_TI_ARMCL_VERSION) || \ - JSON_HEDLEY_TI_CL430_VERSION_CHECK(18,12,0) || \ - defined(JSON_HEDLEY_TI_CL2000_VERSION) || \ - defined(JSON_HEDLEY_TI_CL6X_VERSION) || \ - defined(JSON_HEDLEY_TI_CL7X_VERSION) || \ - defined(JSON_HEDLEY_TI_CLPRU_VERSION) || \ - defined(__clang__) -# define JSON_HEDLEY_IS_CONSTEXPR_(expr) ( \ - sizeof(void) != \ - sizeof(*( \ - 1 ? \ - ((void*) ((expr) * 0L) ) : \ -((struct { char v[sizeof(void) * 2]; } *) 1) \ - ) \ - ) \ - ) -# endif -#endif -#if defined(JSON_HEDLEY_IS_CONSTEXPR_) - #if !defined(JSON_HEDLEY_IS_CONSTANT) - #define JSON_HEDLEY_IS_CONSTANT(expr) JSON_HEDLEY_IS_CONSTEXPR_(expr) - #endif - #define JSON_HEDLEY_REQUIRE_CONSTEXPR(expr) (JSON_HEDLEY_IS_CONSTEXPR_(expr) ? (expr) : (-1)) -#else - #if !defined(JSON_HEDLEY_IS_CONSTANT) - #define JSON_HEDLEY_IS_CONSTANT(expr) (0) - #endif - #define JSON_HEDLEY_REQUIRE_CONSTEXPR(expr) (expr) -#endif - -#if defined(JSON_HEDLEY_BEGIN_C_DECLS) - #undef JSON_HEDLEY_BEGIN_C_DECLS -#endif -#if defined(JSON_HEDLEY_END_C_DECLS) - #undef JSON_HEDLEY_END_C_DECLS -#endif -#if defined(JSON_HEDLEY_C_DECL) - #undef JSON_HEDLEY_C_DECL -#endif -#if defined(__cplusplus) - #define JSON_HEDLEY_BEGIN_C_DECLS extern "C" { - #define JSON_HEDLEY_END_C_DECLS } - #define JSON_HEDLEY_C_DECL extern "C" -#else - #define JSON_HEDLEY_BEGIN_C_DECLS - #define JSON_HEDLEY_END_C_DECLS - #define JSON_HEDLEY_C_DECL -#endif - -#if defined(JSON_HEDLEY_STATIC_ASSERT) - #undef JSON_HEDLEY_STATIC_ASSERT -#endif -#if \ - !defined(__cplusplus) && ( \ - (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L)) || \ - (JSON_HEDLEY_HAS_FEATURE(c_static_assert) && !defined(JSON_HEDLEY_INTEL_CL_VERSION)) || \ - JSON_HEDLEY_GCC_VERSION_CHECK(6,0,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ - defined(_Static_assert) \ - ) -# define JSON_HEDLEY_STATIC_ASSERT(expr, message) _Static_assert(expr, message) -#elif \ - (defined(__cplusplus) && (__cplusplus >= 201103L)) || \ - JSON_HEDLEY_MSVC_VERSION_CHECK(16,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) -# define JSON_HEDLEY_STATIC_ASSERT(expr, message) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(static_assert(expr, message)) -#else -# define JSON_HEDLEY_STATIC_ASSERT(expr, message) -#endif - -#if defined(JSON_HEDLEY_NULL) - #undef JSON_HEDLEY_NULL -#endif -#if defined(__cplusplus) - #if __cplusplus >= 201103L - #define JSON_HEDLEY_NULL JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(nullptr) - #elif defined(NULL) - #define JSON_HEDLEY_NULL NULL - #else - #define JSON_HEDLEY_NULL JSON_HEDLEY_STATIC_CAST(void*, 0) - #endif -#elif defined(NULL) - #define JSON_HEDLEY_NULL NULL -#else - #define JSON_HEDLEY_NULL ((void*) 0) -#endif - -#if defined(JSON_HEDLEY_MESSAGE) - #undef JSON_HEDLEY_MESSAGE -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") -# define JSON_HEDLEY_MESSAGE(msg) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS \ - JSON_HEDLEY_PRAGMA(message msg) \ - JSON_HEDLEY_DIAGNOSTIC_POP -#elif \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,4,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) -# define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message msg) -#elif JSON_HEDLEY_CRAY_VERSION_CHECK(5,0,0) -# define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(_CRI message msg) -#elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) -# define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message(msg)) -#elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,0,0) -# define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message(msg)) -#else -# define JSON_HEDLEY_MESSAGE(msg) -#endif - -#if defined(JSON_HEDLEY_WARNING) - #undef JSON_HEDLEY_WARNING -#endif -#if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") -# define JSON_HEDLEY_WARNING(msg) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS \ - JSON_HEDLEY_PRAGMA(clang warning msg) \ - JSON_HEDLEY_DIAGNOSTIC_POP -#elif \ - JSON_HEDLEY_GCC_VERSION_CHECK(4,8,0) || \ - JSON_HEDLEY_PGI_VERSION_CHECK(18,4,0) || \ - JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) -# define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_PRAGMA(GCC warning msg) -#elif \ - JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) -# define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_PRAGMA(message(msg)) -#else -# define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_MESSAGE(msg) -#endif - -#if defined(JSON_HEDLEY_REQUIRE) - #undef JSON_HEDLEY_REQUIRE -#endif -#if defined(JSON_HEDLEY_REQUIRE_MSG) - #undef JSON_HEDLEY_REQUIRE_MSG -#endif -#if JSON_HEDLEY_HAS_ATTRIBUTE(diagnose_if) -# if JSON_HEDLEY_HAS_WARNING("-Wgcc-compat") -# define JSON_HEDLEY_REQUIRE(expr) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wgcc-compat\"") \ - __attribute__((diagnose_if(!(expr), #expr, "error"))) \ - JSON_HEDLEY_DIAGNOSTIC_POP -# define JSON_HEDLEY_REQUIRE_MSG(expr,msg) \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("clang diagnostic ignored \"-Wgcc-compat\"") \ - __attribute__((diagnose_if(!(expr), msg, "error"))) \ - JSON_HEDLEY_DIAGNOSTIC_POP -# else -# define JSON_HEDLEY_REQUIRE(expr) __attribute__((diagnose_if(!(expr), #expr, "error"))) -# define JSON_HEDLEY_REQUIRE_MSG(expr,msg) __attribute__((diagnose_if(!(expr), msg, "error"))) -# endif -#else -# define JSON_HEDLEY_REQUIRE(expr) -# define JSON_HEDLEY_REQUIRE_MSG(expr,msg) -#endif - -#if defined(JSON_HEDLEY_FLAGS) - #undef JSON_HEDLEY_FLAGS -#endif -#if JSON_HEDLEY_HAS_ATTRIBUTE(flag_enum) && (!defined(__cplusplus) || JSON_HEDLEY_HAS_WARNING("-Wbitfield-enum-conversion")) - #define JSON_HEDLEY_FLAGS __attribute__((__flag_enum__)) -#else - #define JSON_HEDLEY_FLAGS -#endif - -#if defined(JSON_HEDLEY_FLAGS_CAST) - #undef JSON_HEDLEY_FLAGS_CAST -#endif -#if JSON_HEDLEY_INTEL_VERSION_CHECK(19,0,0) -# define JSON_HEDLEY_FLAGS_CAST(T, expr) (__extension__ ({ \ - JSON_HEDLEY_DIAGNOSTIC_PUSH \ - _Pragma("warning(disable:188)") \ - ((T) (expr)); \ - JSON_HEDLEY_DIAGNOSTIC_POP \ - })) -#else -# define JSON_HEDLEY_FLAGS_CAST(T, expr) JSON_HEDLEY_STATIC_CAST(T, expr) -#endif - -#if defined(JSON_HEDLEY_EMPTY_BASES) - #undef JSON_HEDLEY_EMPTY_BASES -#endif -#if \ - (JSON_HEDLEY_MSVC_VERSION_CHECK(19,0,23918) && !JSON_HEDLEY_MSVC_VERSION_CHECK(20,0,0)) || \ - JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) - #define JSON_HEDLEY_EMPTY_BASES __declspec(empty_bases) -#else - #define JSON_HEDLEY_EMPTY_BASES -#endif - -/* Remaining macros are deprecated. */ - -#if defined(JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK) - #undef JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK -#endif -#if defined(__clang__) - #define JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK(major,minor,patch) (0) -#else - #define JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK(major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) -#endif - -#if defined(JSON_HEDLEY_CLANG_HAS_ATTRIBUTE) - #undef JSON_HEDLEY_CLANG_HAS_ATTRIBUTE -#endif -#define JSON_HEDLEY_CLANG_HAS_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) - -#if defined(JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE) - #undef JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE -#endif -#define JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) - -#if defined(JSON_HEDLEY_CLANG_HAS_BUILTIN) - #undef JSON_HEDLEY_CLANG_HAS_BUILTIN -#endif -#define JSON_HEDLEY_CLANG_HAS_BUILTIN(builtin) JSON_HEDLEY_HAS_BUILTIN(builtin) - -#if defined(JSON_HEDLEY_CLANG_HAS_FEATURE) - #undef JSON_HEDLEY_CLANG_HAS_FEATURE -#endif -#define JSON_HEDLEY_CLANG_HAS_FEATURE(feature) JSON_HEDLEY_HAS_FEATURE(feature) - -#if defined(JSON_HEDLEY_CLANG_HAS_EXTENSION) - #undef JSON_HEDLEY_CLANG_HAS_EXTENSION -#endif -#define JSON_HEDLEY_CLANG_HAS_EXTENSION(extension) JSON_HEDLEY_HAS_EXTENSION(extension) - -#if defined(JSON_HEDLEY_CLANG_HAS_DECLSPEC_DECLSPEC_ATTRIBUTE) - #undef JSON_HEDLEY_CLANG_HAS_DECLSPEC_DECLSPEC_ATTRIBUTE -#endif -#define JSON_HEDLEY_CLANG_HAS_DECLSPEC_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) - -#if defined(JSON_HEDLEY_CLANG_HAS_WARNING) - #undef JSON_HEDLEY_CLANG_HAS_WARNING -#endif -#define JSON_HEDLEY_CLANG_HAS_WARNING(warning) JSON_HEDLEY_HAS_WARNING(warning) - -#endif /* !defined(JSON_HEDLEY_VERSION) || (JSON_HEDLEY_VERSION < X) */ - - -// This file contains all internal macro definitions (except those affecting ABI) -// You MUST include macro_unscope.hpp at the end of json.hpp to undef all of them - -// #include - - -// exclude unsupported compilers -#if !defined(JSON_SKIP_UNSUPPORTED_COMPILER_CHECK) - #if defined(__clang__) - #if (__clang_major__ * 10000 + __clang_minor__ * 100 + __clang_patchlevel__) < 30400 - #error "unsupported Clang version - see https://github.com/nlohmann/json#supported-compilers" - #endif - #elif defined(__GNUC__) && !(defined(__ICC) || defined(__INTEL_COMPILER)) - #if (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__) < 40800 - #error "unsupported GCC version - see https://github.com/nlohmann/json#supported-compilers" - #endif - #endif -#endif - -// C++ language standard detection -// if the user manually specified the used c++ version this is skipped -#if !defined(JSON_HAS_CPP_20) && !defined(JSON_HAS_CPP_17) && !defined(JSON_HAS_CPP_14) && !defined(JSON_HAS_CPP_11) - #if (defined(__cplusplus) && __cplusplus >= 202002L) || (defined(_MSVC_LANG) && _MSVC_LANG >= 202002L) - #define JSON_HAS_CPP_20 - #define JSON_HAS_CPP_17 - #define JSON_HAS_CPP_14 - #elif (defined(__cplusplus) && __cplusplus >= 201703L) || (defined(_HAS_CXX17) && _HAS_CXX17 == 1) // fix for issue #464 - #define JSON_HAS_CPP_17 - #define JSON_HAS_CPP_14 - #elif (defined(__cplusplus) && __cplusplus >= 201402L) || (defined(_HAS_CXX14) && _HAS_CXX14 == 1) - #define JSON_HAS_CPP_14 - #endif - // the cpp 11 flag is always specified because it is the minimal required version - #define JSON_HAS_CPP_11 -#endif - -#ifdef __has_include - #if __has_include() - #include - #endif -#endif - -#if !defined(JSON_HAS_FILESYSTEM) && !defined(JSON_HAS_EXPERIMENTAL_FILESYSTEM) - #ifdef JSON_HAS_CPP_17 - #if defined(__cpp_lib_filesystem) - #define JSON_HAS_FILESYSTEM 1 - #elif defined(__cpp_lib_experimental_filesystem) - #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 - #elif !defined(__has_include) - #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 - #elif __has_include() - #define JSON_HAS_FILESYSTEM 1 - #elif __has_include() - #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 - #endif - - // std::filesystem does not work on MinGW GCC 8: https://sourceforge.net/p/mingw-w64/bugs/737/ - #if defined(__MINGW32__) && defined(__GNUC__) && __GNUC__ == 8 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - - // no filesystem support before GCC 8: https://en.cppreference.com/w/cpp/compiler_support - #if defined(__GNUC__) && !defined(__clang__) && __GNUC__ < 8 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - - // no filesystem support before Clang 7: https://en.cppreference.com/w/cpp/compiler_support - #if defined(__clang_major__) && __clang_major__ < 7 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - - // no filesystem support before MSVC 19.14: https://en.cppreference.com/w/cpp/compiler_support - #if defined(_MSC_VER) && _MSC_VER < 1914 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - - // no filesystem support before iOS 13 - #if defined(__IPHONE_OS_VERSION_MIN_REQUIRED) && __IPHONE_OS_VERSION_MIN_REQUIRED < 130000 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - - // no filesystem support before macOS Catalina - #if defined(__MAC_OS_X_VERSION_MIN_REQUIRED) && __MAC_OS_X_VERSION_MIN_REQUIRED < 101500 - #undef JSON_HAS_FILESYSTEM - #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #endif - #endif -#endif - -#ifndef JSON_HAS_EXPERIMENTAL_FILESYSTEM - #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 0 -#endif - -#ifndef JSON_HAS_FILESYSTEM - #define JSON_HAS_FILESYSTEM 0 -#endif - -#ifndef JSON_HAS_THREE_WAY_COMPARISON - #if defined(__cpp_impl_three_way_comparison) && __cpp_impl_three_way_comparison >= 201907L \ - && defined(__cpp_lib_three_way_comparison) && __cpp_lib_three_way_comparison >= 201907L - #define JSON_HAS_THREE_WAY_COMPARISON 1 - #else - #define JSON_HAS_THREE_WAY_COMPARISON 0 - #endif -#endif - -#ifndef JSON_HAS_RANGES - // ranges header shipping in GCC 11.1.0 (released 2021-04-27) has syntax error - #if defined(__GLIBCXX__) && __GLIBCXX__ == 20210427 - #define JSON_HAS_RANGES 0 - #elif defined(__cpp_lib_ranges) - #define JSON_HAS_RANGES 1 - #else - #define JSON_HAS_RANGES 0 - #endif -#endif - -#ifdef JSON_HAS_CPP_17 - #define JSON_INLINE_VARIABLE inline -#else - #define JSON_INLINE_VARIABLE -#endif - -#if JSON_HEDLEY_HAS_ATTRIBUTE(no_unique_address) - #define JSON_NO_UNIQUE_ADDRESS [[no_unique_address]] -#else - #define JSON_NO_UNIQUE_ADDRESS -#endif - -// disable documentation warnings on clang -#if defined(__clang__) - #pragma clang diagnostic push - #pragma clang diagnostic ignored "-Wdocumentation" - #pragma clang diagnostic ignored "-Wdocumentation-unknown-command" -#endif - -// allow disabling exceptions -#if (defined(__cpp_exceptions) || defined(__EXCEPTIONS) || defined(_CPPUNWIND)) && !defined(JSON_NOEXCEPTION) - #define JSON_THROW(exception) throw exception - #define JSON_TRY try - #define JSON_CATCH(exception) catch(exception) - #define JSON_INTERNAL_CATCH(exception) catch(exception) -#else - #include - #define JSON_THROW(exception) std::abort() - #define JSON_TRY if(true) - #define JSON_CATCH(exception) if(false) - #define JSON_INTERNAL_CATCH(exception) if(false) -#endif - -// override exception macros -#if defined(JSON_THROW_USER) - #undef JSON_THROW - #define JSON_THROW JSON_THROW_USER -#endif -#if defined(JSON_TRY_USER) - #undef JSON_TRY - #define JSON_TRY JSON_TRY_USER -#endif -#if defined(JSON_CATCH_USER) - #undef JSON_CATCH - #define JSON_CATCH JSON_CATCH_USER - #undef JSON_INTERNAL_CATCH - #define JSON_INTERNAL_CATCH JSON_CATCH_USER -#endif -#if defined(JSON_INTERNAL_CATCH_USER) - #undef JSON_INTERNAL_CATCH - #define JSON_INTERNAL_CATCH JSON_INTERNAL_CATCH_USER -#endif - -// allow overriding assert -#if !defined(JSON_ASSERT) - #include // assert - #define JSON_ASSERT(x) assert(x) -#endif - -// allow to access some private functions (needed by the test suite) -#if defined(JSON_TESTS_PRIVATE) - #define JSON_PRIVATE_UNLESS_TESTED public -#else - #define JSON_PRIVATE_UNLESS_TESTED private -#endif - -/*! -@brief macro to briefly define a mapping between an enum and JSON -@def NLOHMANN_JSON_SERIALIZE_ENUM -@since version 3.4.0 -*/ -#define NLOHMANN_JSON_SERIALIZE_ENUM(ENUM_TYPE, ...) \ - template \ - inline void to_json(BasicJsonType& j, const ENUM_TYPE& e) \ - { \ - static_assert(std::is_enum::value, #ENUM_TYPE " must be an enum!"); \ - static const std::pair m[] = __VA_ARGS__; \ - auto it = std::find_if(std::begin(m), std::end(m), \ - [e](const std::pair& ej_pair) -> bool \ - { \ - return ej_pair.first == e; \ - }); \ - j = ((it != std::end(m)) ? it : std::begin(m))->second; \ - } \ - template \ - inline void from_json(const BasicJsonType& j, ENUM_TYPE& e) \ - { \ - static_assert(std::is_enum::value, #ENUM_TYPE " must be an enum!"); \ - static const std::pair m[] = __VA_ARGS__; \ - auto it = std::find_if(std::begin(m), std::end(m), \ - [&j](const std::pair& ej_pair) -> bool \ - { \ - return ej_pair.second == j; \ - }); \ - e = ((it != std::end(m)) ? it : std::begin(m))->first; \ - } - -// Ugly macros to avoid uglier copy-paste when specializing basic_json. They -// may be removed in the future once the class is split. - -#define NLOHMANN_BASIC_JSON_TPL_DECLARATION \ - template class ObjectType, \ - template class ArrayType, \ - class StringType, class BooleanType, class NumberIntegerType, \ - class NumberUnsignedType, class NumberFloatType, \ - template class AllocatorType, \ - template class JSONSerializer, \ - class BinaryType> - -#define NLOHMANN_BASIC_JSON_TPL \ - basic_json - -// Macros to simplify conversion from/to types - -#define NLOHMANN_JSON_EXPAND( x ) x -#define NLOHMANN_JSON_GET_MACRO(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23, _24, _25, _26, _27, _28, _29, _30, _31, _32, _33, _34, _35, _36, _37, _38, _39, _40, _41, _42, _43, _44, _45, _46, _47, _48, _49, _50, _51, _52, _53, _54, _55, _56, _57, _58, _59, _60, _61, _62, _63, _64, NAME,...) NAME -#define NLOHMANN_JSON_PASTE(...) NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_GET_MACRO(__VA_ARGS__, \ - NLOHMANN_JSON_PASTE64, \ - NLOHMANN_JSON_PASTE63, \ - NLOHMANN_JSON_PASTE62, \ - NLOHMANN_JSON_PASTE61, \ - NLOHMANN_JSON_PASTE60, \ - NLOHMANN_JSON_PASTE59, \ - NLOHMANN_JSON_PASTE58, \ - NLOHMANN_JSON_PASTE57, \ - NLOHMANN_JSON_PASTE56, \ - NLOHMANN_JSON_PASTE55, \ - NLOHMANN_JSON_PASTE54, \ - NLOHMANN_JSON_PASTE53, \ - NLOHMANN_JSON_PASTE52, \ - NLOHMANN_JSON_PASTE51, \ - NLOHMANN_JSON_PASTE50, \ - NLOHMANN_JSON_PASTE49, \ - NLOHMANN_JSON_PASTE48, \ - NLOHMANN_JSON_PASTE47, \ - NLOHMANN_JSON_PASTE46, \ - NLOHMANN_JSON_PASTE45, \ - NLOHMANN_JSON_PASTE44, \ - NLOHMANN_JSON_PASTE43, \ - NLOHMANN_JSON_PASTE42, \ - NLOHMANN_JSON_PASTE41, \ - NLOHMANN_JSON_PASTE40, \ - NLOHMANN_JSON_PASTE39, \ - NLOHMANN_JSON_PASTE38, \ - NLOHMANN_JSON_PASTE37, \ - NLOHMANN_JSON_PASTE36, \ - NLOHMANN_JSON_PASTE35, \ - NLOHMANN_JSON_PASTE34, \ - NLOHMANN_JSON_PASTE33, \ - NLOHMANN_JSON_PASTE32, \ - NLOHMANN_JSON_PASTE31, \ - NLOHMANN_JSON_PASTE30, \ - NLOHMANN_JSON_PASTE29, \ - NLOHMANN_JSON_PASTE28, \ - NLOHMANN_JSON_PASTE27, \ - NLOHMANN_JSON_PASTE26, \ - NLOHMANN_JSON_PASTE25, \ - NLOHMANN_JSON_PASTE24, \ - NLOHMANN_JSON_PASTE23, \ - NLOHMANN_JSON_PASTE22, \ - NLOHMANN_JSON_PASTE21, \ - NLOHMANN_JSON_PASTE20, \ - NLOHMANN_JSON_PASTE19, \ - NLOHMANN_JSON_PASTE18, \ - NLOHMANN_JSON_PASTE17, \ - NLOHMANN_JSON_PASTE16, \ - NLOHMANN_JSON_PASTE15, \ - NLOHMANN_JSON_PASTE14, \ - NLOHMANN_JSON_PASTE13, \ - NLOHMANN_JSON_PASTE12, \ - NLOHMANN_JSON_PASTE11, \ - NLOHMANN_JSON_PASTE10, \ - NLOHMANN_JSON_PASTE9, \ - NLOHMANN_JSON_PASTE8, \ - NLOHMANN_JSON_PASTE7, \ - NLOHMANN_JSON_PASTE6, \ - NLOHMANN_JSON_PASTE5, \ - NLOHMANN_JSON_PASTE4, \ - NLOHMANN_JSON_PASTE3, \ - NLOHMANN_JSON_PASTE2, \ - NLOHMANN_JSON_PASTE1)(__VA_ARGS__)) -#define NLOHMANN_JSON_PASTE2(func, v1) func(v1) -#define NLOHMANN_JSON_PASTE3(func, v1, v2) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE2(func, v2) -#define NLOHMANN_JSON_PASTE4(func, v1, v2, v3) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE3(func, v2, v3) -#define NLOHMANN_JSON_PASTE5(func, v1, v2, v3, v4) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE4(func, v2, v3, v4) -#define NLOHMANN_JSON_PASTE6(func, v1, v2, v3, v4, v5) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE5(func, v2, v3, v4, v5) -#define NLOHMANN_JSON_PASTE7(func, v1, v2, v3, v4, v5, v6) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE6(func, v2, v3, v4, v5, v6) -#define NLOHMANN_JSON_PASTE8(func, v1, v2, v3, v4, v5, v6, v7) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE7(func, v2, v3, v4, v5, v6, v7) -#define NLOHMANN_JSON_PASTE9(func, v1, v2, v3, v4, v5, v6, v7, v8) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE8(func, v2, v3, v4, v5, v6, v7, v8) -#define NLOHMANN_JSON_PASTE10(func, v1, v2, v3, v4, v5, v6, v7, v8, v9) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE9(func, v2, v3, v4, v5, v6, v7, v8, v9) -#define NLOHMANN_JSON_PASTE11(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE10(func, v2, v3, v4, v5, v6, v7, v8, v9, v10) -#define NLOHMANN_JSON_PASTE12(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE11(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11) -#define NLOHMANN_JSON_PASTE13(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE12(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) -#define NLOHMANN_JSON_PASTE14(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE13(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13) -#define NLOHMANN_JSON_PASTE15(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE14(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14) -#define NLOHMANN_JSON_PASTE16(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE15(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15) -#define NLOHMANN_JSON_PASTE17(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE16(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16) -#define NLOHMANN_JSON_PASTE18(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE17(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17) -#define NLOHMANN_JSON_PASTE19(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE18(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18) -#define NLOHMANN_JSON_PASTE20(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE19(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19) -#define NLOHMANN_JSON_PASTE21(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE20(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20) -#define NLOHMANN_JSON_PASTE22(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE21(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21) -#define NLOHMANN_JSON_PASTE23(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE22(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22) -#define NLOHMANN_JSON_PASTE24(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE23(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23) -#define NLOHMANN_JSON_PASTE25(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE24(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24) -#define NLOHMANN_JSON_PASTE26(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE25(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25) -#define NLOHMANN_JSON_PASTE27(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE26(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26) -#define NLOHMANN_JSON_PASTE28(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE27(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27) -#define NLOHMANN_JSON_PASTE29(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE28(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28) -#define NLOHMANN_JSON_PASTE30(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE29(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29) -#define NLOHMANN_JSON_PASTE31(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE30(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30) -#define NLOHMANN_JSON_PASTE32(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE31(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31) -#define NLOHMANN_JSON_PASTE33(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE32(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32) -#define NLOHMANN_JSON_PASTE34(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE33(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33) -#define NLOHMANN_JSON_PASTE35(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE34(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34) -#define NLOHMANN_JSON_PASTE36(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE35(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35) -#define NLOHMANN_JSON_PASTE37(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE36(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36) -#define NLOHMANN_JSON_PASTE38(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE37(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37) -#define NLOHMANN_JSON_PASTE39(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE38(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38) -#define NLOHMANN_JSON_PASTE40(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE39(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39) -#define NLOHMANN_JSON_PASTE41(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE40(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40) -#define NLOHMANN_JSON_PASTE42(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE41(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41) -#define NLOHMANN_JSON_PASTE43(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE42(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42) -#define NLOHMANN_JSON_PASTE44(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE43(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43) -#define NLOHMANN_JSON_PASTE45(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE44(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44) -#define NLOHMANN_JSON_PASTE46(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE45(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45) -#define NLOHMANN_JSON_PASTE47(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE46(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46) -#define NLOHMANN_JSON_PASTE48(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE47(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47) -#define NLOHMANN_JSON_PASTE49(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE48(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48) -#define NLOHMANN_JSON_PASTE50(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE49(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49) -#define NLOHMANN_JSON_PASTE51(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE50(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50) -#define NLOHMANN_JSON_PASTE52(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE51(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51) -#define NLOHMANN_JSON_PASTE53(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE52(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52) -#define NLOHMANN_JSON_PASTE54(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE53(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53) -#define NLOHMANN_JSON_PASTE55(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE54(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54) -#define NLOHMANN_JSON_PASTE56(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE55(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55) -#define NLOHMANN_JSON_PASTE57(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE56(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56) -#define NLOHMANN_JSON_PASTE58(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE57(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57) -#define NLOHMANN_JSON_PASTE59(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE58(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58) -#define NLOHMANN_JSON_PASTE60(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE59(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59) -#define NLOHMANN_JSON_PASTE61(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE60(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60) -#define NLOHMANN_JSON_PASTE62(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE61(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61) -#define NLOHMANN_JSON_PASTE63(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE62(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62) -#define NLOHMANN_JSON_PASTE64(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62, v63) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE63(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62, v63) - -#define NLOHMANN_JSON_TO(v1) nlohmann_json_j[#v1] = nlohmann_json_t.v1; -#define NLOHMANN_JSON_FROM(v1) nlohmann_json_j.at(#v1).get_to(nlohmann_json_t.v1); -#define NLOHMANN_JSON_FROM_WITH_DEFAULT(v1) nlohmann_json_t.v1 = nlohmann_json_j.value(#v1, nlohmann_json_default_obj.v1); - -/*! -@brief macro -@def NLOHMANN_DEFINE_TYPE_INTRUSIVE -@since version 3.9.0 -*/ -#define NLOHMANN_DEFINE_TYPE_INTRUSIVE(Type, ...) \ - friend void to_json(nlohmann::json& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ - friend void from_json(const nlohmann::json& nlohmann_json_j, Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } - -#define NLOHMANN_DEFINE_TYPE_INTRUSIVE_WITH_DEFAULT(Type, ...) \ - friend void to_json(nlohmann::json& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ - friend void from_json(const nlohmann::json& nlohmann_json_j, Type& nlohmann_json_t) { Type nlohmann_json_default_obj; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } - -/*! -@brief macro -@def NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE -@since version 3.9.0 -*/ -#define NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE(Type, ...) \ - inline void to_json(nlohmann::json& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ - inline void from_json(const nlohmann::json& nlohmann_json_j, Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } - -#define NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_WITH_DEFAULT(Type, ...) \ - inline void to_json(nlohmann::json& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ - inline void from_json(const nlohmann::json& nlohmann_json_j, Type& nlohmann_json_t) { Type nlohmann_json_default_obj; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } - - -// inspired from https://stackoverflow.com/a/26745591 -// allows to call any std function as if (e.g. with begin): -// using std::begin; begin(x); -// -// it allows using the detected idiom to retrieve the return type -// of such an expression -#define NLOHMANN_CAN_CALL_STD_FUNC_IMPL(std_name) \ - namespace detail { \ - using std::std_name; \ - \ - template \ - using result_of_##std_name = decltype(std_name(std::declval()...)); \ - } \ - \ - namespace detail2 { \ - struct std_name##_tag \ - { \ - }; \ - \ - template \ - std_name##_tag std_name(T&&...); \ - \ - template \ - using result_of_##std_name = decltype(std_name(std::declval()...)); \ - \ - template \ - struct would_call_std_##std_name \ - { \ - static constexpr auto const value = ::nlohmann::detail:: \ - is_detected_exact::value; \ - }; \ - } /* namespace detail2 */ \ - \ - template \ - struct would_call_std_##std_name : detail2::would_call_std_##std_name \ - { \ - } - -#ifndef JSON_USE_IMPLICIT_CONVERSIONS - #define JSON_USE_IMPLICIT_CONVERSIONS 1 -#endif - -#if JSON_USE_IMPLICIT_CONVERSIONS - #define JSON_EXPLICIT -#else - #define JSON_EXPLICIT explicit -#endif - -#ifndef JSON_DISABLE_ENUM_SERIALIZATION - #define JSON_DISABLE_ENUM_SERIALIZATION 0 -#endif - -#ifndef JSON_USE_GLOBAL_UDLS - #define JSON_USE_GLOBAL_UDLS 1 -#endif - -#if JSON_HAS_THREE_WAY_COMPARISON - #include // partial_ordering -#endif - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -/////////////////////////// -// JSON type enumeration // -/////////////////////////// - -/*! -@brief the JSON type enumeration - -This enumeration collects the different JSON types. It is internally used to -distinguish the stored values, and the functions @ref basic_json::is_null(), -@ref basic_json::is_object(), @ref basic_json::is_array(), -@ref basic_json::is_string(), @ref basic_json::is_boolean(), -@ref basic_json::is_number() (with @ref basic_json::is_number_integer(), -@ref basic_json::is_number_unsigned(), and @ref basic_json::is_number_float()), -@ref basic_json::is_discarded(), @ref basic_json::is_primitive(), and -@ref basic_json::is_structured() rely on it. - -@note There are three enumeration entries (number_integer, number_unsigned, and -number_float), because the library distinguishes these three types for numbers: -@ref basic_json::number_unsigned_t is used for unsigned integers, -@ref basic_json::number_integer_t is used for signed integers, and -@ref basic_json::number_float_t is used for floating-point numbers or to -approximate integers which do not fit in the limits of their respective type. - -@sa see @ref basic_json::basic_json(const value_t value_type) -- create a JSON -value with the default value for a given type - -@since version 1.0.0 -*/ -enum class value_t : std::uint8_t -{ - null, ///< null value - object, ///< object (unordered set of name/value pairs) - array, ///< array (ordered collection of values) - string, ///< string value - boolean, ///< boolean value - number_integer, ///< number value (signed integer) - number_unsigned, ///< number value (unsigned integer) - number_float, ///< number value (floating-point) - binary, ///< binary array (ordered collection of bytes) - discarded ///< discarded by the parser callback function -}; - -/*! -@brief comparison operator for JSON types - -Returns an ordering that is similar to Python: -- order: null < boolean < number < object < array < string < binary -- furthermore, each type is not smaller than itself -- discarded values are not comparable -- binary is represented as a b"" string in python and directly comparable to a - string; however, making a binary array directly comparable with a string would - be surprising behavior in a JSON file. - -@since version 1.0.0 -*/ -#if JSON_HAS_THREE_WAY_COMPARISON - inline std::partial_ordering operator<=>(const value_t lhs, const value_t rhs) noexcept // *NOPAD* -#else - inline bool operator<(const value_t lhs, const value_t rhs) noexcept -#endif -{ - static constexpr std::array order = {{ - 0 /* null */, 3 /* object */, 4 /* array */, 5 /* string */, - 1 /* boolean */, 2 /* integer */, 2 /* unsigned */, 2 /* float */, - 6 /* binary */ - } - }; - - const auto l_index = static_cast(lhs); - const auto r_index = static_cast(rhs); -#if JSON_HAS_THREE_WAY_COMPARISON - if (l_index < order.size() && r_index < order.size()) - { - return order[l_index] <=> order[r_index]; // *NOPAD* - } - return std::partial_ordering::unordered; -#else - return l_index < order.size() && r_index < order.size() && order[l_index] < order[r_index]; -#endif -} - -// GCC selects the built-in operator< over an operator rewritten from -// a user-defined spaceship operator -// Clang, MSVC, and ICC select the rewritten candidate -// (see GCC bug https://gcc.gnu.org/bugzilla/show_bug.cgi?id=105200) -#if JSON_HAS_THREE_WAY_COMPARISON && defined(__GNUC__) -inline bool operator<(const value_t lhs, const value_t rhs) noexcept -{ - return std::is_lt(lhs <=> rhs); // *NOPAD* -} -#endif - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -/*! -@brief replace all occurrences of a substring by another string - -@param[in,out] s the string to manipulate; changed so that all - occurrences of @a f are replaced with @a t -@param[in] f the substring to replace with @a t -@param[in] t the string to replace @a f - -@pre The search string @a f must not be empty. **This precondition is -enforced with an assertion.** - -@since version 2.0.0 -*/ -template -inline void replace_substring(StringType& s, const StringType& f, - const StringType& t) -{ - JSON_ASSERT(!f.empty()); - for (auto pos = s.find(f); // find first occurrence of f - pos != StringType::npos; // make sure f was found - s.replace(pos, f.size(), t), // replace with t, and - pos = s.find(f, pos + t.size())) // find next occurrence of f - {} -} - -/*! - * @brief string escaping as described in RFC 6901 (Sect. 4) - * @param[in] s string to escape - * @return escaped string - * - * Note the order of escaping "~" to "~0" and "/" to "~1" is important. - */ -template -inline StringType escape(StringType s) -{ - replace_substring(s, StringType{"~"}, StringType{"~0"}); - replace_substring(s, StringType{"/"}, StringType{"~1"}); - return s; -} - -/*! - * @brief string unescaping as described in RFC 6901 (Sect. 4) - * @param[in] s string to unescape - * @return unescaped string - * - * Note the order of escaping "~1" to "/" and "~0" to "~" is important. - */ -template -static void unescape(StringType& s) -{ - replace_substring(s, StringType{"~1"}, StringType{"/"}); - replace_substring(s, StringType{"~0"}, StringType{"~"}); -} - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // size_t - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -/// struct to capture the start position of the current token -struct position_t -{ - /// the total number of characters read - std::size_t chars_read_total = 0; - /// the number of characters read in the current line - std::size_t chars_read_current_line = 0; - /// the number of lines read - std::size_t lines_read = 0; - - /// conversion to size_t to preserve SAX interface - constexpr operator size_t() const - { - return chars_read_total; - } -}; - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-FileCopyrightText: 2018 The Abseil Authors -// SPDX-License-Identifier: MIT - - - -#include // array -#include // size_t -#include // conditional, enable_if, false_type, integral_constant, is_constructible, is_integral, is_same, remove_cv, remove_reference, true_type -#include // index_sequence, make_index_sequence, index_sequence_for - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -template -using uncvref_t = typename std::remove_cv::type>::type; - -#ifdef JSON_HAS_CPP_14 - -// the following utilities are natively available in C++14 -using std::enable_if_t; -using std::index_sequence; -using std::make_index_sequence; -using std::index_sequence_for; - -#else - -// alias templates to reduce boilerplate -template -using enable_if_t = typename std::enable_if::type; - -// The following code is taken from https://github.com/abseil/abseil-cpp/blob/10cb35e459f5ecca5b2ff107635da0bfa41011b4/absl/utility/utility.h -// which is part of Google Abseil (https://github.com/abseil/abseil-cpp), licensed under the Apache License 2.0. - -//// START OF CODE FROM GOOGLE ABSEIL - -// integer_sequence -// -// Class template representing a compile-time integer sequence. An instantiation -// of `integer_sequence` has a sequence of integers encoded in its -// type through its template arguments (which is a common need when -// working with C++11 variadic templates). `absl::integer_sequence` is designed -// to be a drop-in replacement for C++14's `std::integer_sequence`. -// -// Example: -// -// template< class T, T... Ints > -// void user_function(integer_sequence); -// -// int main() -// { -// // user_function's `T` will be deduced to `int` and `Ints...` -// // will be deduced to `0, 1, 2, 3, 4`. -// user_function(make_integer_sequence()); -// } -template -struct integer_sequence -{ - using value_type = T; - static constexpr std::size_t size() noexcept - { - return sizeof...(Ints); - } -}; - -// index_sequence -// -// A helper template for an `integer_sequence` of `size_t`, -// `absl::index_sequence` is designed to be a drop-in replacement for C++14's -// `std::index_sequence`. -template -using index_sequence = integer_sequence; - -namespace utility_internal -{ - -template -struct Extend; - -// Note that SeqSize == sizeof...(Ints). It's passed explicitly for efficiency. -template -struct Extend, SeqSize, 0> -{ - using type = integer_sequence < T, Ints..., (Ints + SeqSize)... >; -}; - -template -struct Extend, SeqSize, 1> -{ - using type = integer_sequence < T, Ints..., (Ints + SeqSize)..., 2 * SeqSize >; -}; - -// Recursion helper for 'make_integer_sequence'. -// 'Gen::type' is an alias for 'integer_sequence'. -template -struct Gen -{ - using type = - typename Extend < typename Gen < T, N / 2 >::type, N / 2, N % 2 >::type; -}; - -template -struct Gen -{ - using type = integer_sequence; -}; - -} // namespace utility_internal - -// Compile-time sequences of integers - -// make_integer_sequence -// -// This template alias is equivalent to -// `integer_sequence`, and is designed to be a drop-in -// replacement for C++14's `std::make_integer_sequence`. -template -using make_integer_sequence = typename utility_internal::Gen::type; - -// make_index_sequence -// -// This template alias is equivalent to `index_sequence<0, 1, ..., N-1>`, -// and is designed to be a drop-in replacement for C++14's -// `std::make_index_sequence`. -template -using make_index_sequence = make_integer_sequence; - -// index_sequence_for -// -// Converts a typename pack into an index sequence of the same length, and -// is designed to be a drop-in replacement for C++14's -// `std::index_sequence_for()` -template -using index_sequence_for = make_index_sequence; - -//// END OF CODE FROM GOOGLE ABSEIL - -#endif - -// dispatch utility (taken from ranges-v3) -template struct priority_tag : priority_tag < N - 1 > {}; -template<> struct priority_tag<0> {}; - -// taken from ranges-v3 -template -struct static_const -{ - static JSON_INLINE_VARIABLE constexpr T value{}; -}; - -#ifndef JSON_HAS_CPP_17 - template - constexpr T static_const::value; -#endif - -template -inline constexpr std::array make_array(Args&& ... args) -{ - return std::array {{static_cast(std::forward(args))...}}; -} - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // numeric_limits -#include // false_type, is_constructible, is_integral, is_same, true_type -#include // declval -#include // tuple - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -#include // random_access_iterator_tag - -// #include - -// #include - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN -namespace detail -{ - -template -struct iterator_types {}; - -template -struct iterator_types < - It, - void_t> -{ - using difference_type = typename It::difference_type; - using value_type = typename It::value_type; - using pointer = typename It::pointer; - using reference = typename It::reference; - using iterator_category = typename It::iterator_category; -}; - -// This is required as some compilers implement std::iterator_traits in a way that -// doesn't work with SFINAE. See https://github.com/nlohmann/json/issues/1341. -template -struct iterator_traits -{ -}; - -template -struct iterator_traits < T, enable_if_t < !std::is_pointer::value >> - : iterator_types -{ -}; - -template -struct iterator_traits::value>> -{ - using iterator_category = std::random_access_iterator_tag; - using value_type = T; - using difference_type = ptrdiff_t; - using pointer = T*; - using reference = T&; -}; - -} // namespace detail -NLOHMANN_JSON_NAMESPACE_END - -// #include - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN - -NLOHMANN_CAN_CALL_STD_FUNC_IMPL(begin); - -NLOHMANN_JSON_NAMESPACE_END - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - - - -// #include - - -NLOHMANN_JSON_NAMESPACE_BEGIN - -NLOHMANN_CAN_CALL_STD_FUNC_IMPL(end); - -NLOHMANN_JSON_NAMESPACE_END - -// #include - -// #include - -// #include -// __ _____ _____ _____ -// __| | __| | | | JSON for Modern C++ -// | | |__ | | | | | | version 3.11.2 -// |_____|_____|_____|_|___| https://github.com/nlohmann/json -// -// SPDX-FileCopyrightText: 2013-2022 Niels Lohmann -// SPDX-License-Identifier: MIT - -#ifndef INCLUDE_NLOHMANN_JSON_FWD_HPP_ - #define INCLUDE_NLOHMANN_JSON_FWD_HPP_ - - #include // int64_t, uint64_t - #include // map - #include // allocator - #include // string - #include // vector - - // #include - - - /*! - @brief namespace for Niels Lohmann - @see https://github.com/nlohmann - @since version 1.0.0 - */ - NLOHMANN_JSON_NAMESPACE_BEGIN - - /*! - @brief default JSONSerializer template argument - - This serializer ignores the template arguments and uses ADL - ([argument-dependent lookup](https://en.cppreference.com/w/cpp/language/adl)) - for serialization. - */ - template - struct adl_serializer; - - /// a class to store JSON values - /// @sa https://json.nlohmann.me/api/basic_json/ - template class ObjectType = - std::map, - template class ArrayType = std::vector, - class StringType = std::string, class BooleanType = bool, - class NumberIntegerType = std::int64_t, - class NumberUnsignedType = std::uint64_t, - class NumberFloatType = double, - template class AllocatorType = std::allocator, - template class JSONSerializer = - adl_serializer, - class BinaryType = std::vector> - class basic_json; - - /// @brief JSON Pointer defines a string syntax for identifying a specific value within a JSON document - /// @sa https://json.nlohmann.me/api/json_pointer/ - template - class json_pointer; - - /*! - @brief default specialization - @sa https://json.nlohmann.me/api/json/ - */ - using json = basic_json<>; - - /// @brief a minimal map-like container that preserves insertion order - /// @sa https://json.nlohmann.me/api/ordered_map/ - template - struct ordered_map; - - /// @brief specialization that maintains the insertion order of object keys - /// @sa https://json.nlohmann.me/api/ordered_json/ - using ordered_json = basic_json; - - NLOHMANN_JSON_NAMESPACE_END - -#endif // INCLUDE_NLOHMANN_JSON_FWD_HPP_ - - -NLOHMANN_JSON_NAMESPACE_BEGIN -/*! -@brief detail namespace with internal helper functions - -This namespace collects functions that should not be exposed, -implementations of some @ref basic_json methods, and meta-programming helpers. - -@since version 2.1.0 -*/ -namespace detail -{ - -///////////// -// helpers // -///////////// - -// Note to maintainers: -// -// Every trait in this file expects a non CV-qualified type. -// The only exceptions are in the 'aliases for detected' section -// (i.e. those of the form: decltype(T::member_function(std::declval()))) -// -// In this case, T has to be properly CV-qualified to constraint the function arguments -// (e.g. to_json(BasicJsonType&, const T&)) - -template struct is_basic_json : std::false_type {}; - -NLOHMANN_BASIC_JSON_TPL_DECLARATION -struct is_basic_json : std::true_type {}; - -// used by exceptions create() member functions -// true_type for pointer to possibly cv-qualified basic_json or std::nullptr_t -// false_type otherwise -template -struct is_basic_json_context : - std::integral_constant < bool, - is_basic_json::type>::type>::value - || std::is_same::value > -{}; - -////////////////////// -// json_ref helpers // -////////////////////// - -template -class json_ref; - -template -struct is_json_ref : std::false_type {}; - -template -struct is_json_ref> : std::true_type {}; - -////////////////////////// -// aliases for detected // -////////////////////////// - -template -using mapped_type_t = typename T::mapped_type; - -template -using key_type_t = typename T::key_type; - -template -using value_type_t = typename T::value_type; - -template -using difference_type_t = typename T::difference_type; - -template -using pointer_t = typename T::pointer; - -template -using reference_t = typename T::reference; - -template -using iterator_category_t = typename T::iterator_category; - -template -using to_json_function = decltype(T::to_json(std::declval()...)); - -template -using from_json_function = decltype(T::from_json(std::declval()...)); - -template -using get_template_function = decltype(std::declval().template get()); - -// trait checking if JSONSerializer::from_json(json const&, udt&) exists -template -struct has_from_json : std::false_type {}; - -// trait checking if j.get is valid -// use this trait instead of std::is_constructible or std::is_convertible, -// both rely on, or make use of implicit conversions, and thus fail when T -// has several constructors/operator= (see https://github.com/nlohmann/json/issues/958) -template -struct is_getable -{ - static constexpr bool value = is_detected::value; -}; - -template -struct has_from_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> -{ - using serializer = typename BasicJsonType::template json_serializer; - - static constexpr bool value = - is_detected_exact::value; -}; - -// This trait checks if JSONSerializer::from_json(json const&) exists -// this overload is used for non-default-constructible user-defined-types -template -struct has_non_default_from_json : std::false_type {}; - -template -struct has_non_default_from_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> -{ - using serializer = typename BasicJsonType::template json_serializer; - - static constexpr bool value = - is_detected_exact::value; -}; - -// This trait checks if BasicJsonType::json_serializer::to_json exists -// Do not evaluate the trait when T is a basic_json type, to avoid template instantiation infinite recursion. -template -struct has_to_json : std::false_type {}; - -template -struct has_to_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> -{ - using serializer = typename BasicJsonType::template json_serializer; - - static constexpr bool value = - is_detected_exact::value; -}; - -template -using detect_key_compare = typename T::key_compare; - -template -struct has_key_compare : std::integral_constant::value> {}; - -// obtains the actual object key comparator -template -struct actual_object_comparator -{ - using object_t = typename BasicJsonType::object_t; - using object_comparator_t = typename BasicJsonType::default_object_comparator_t; - using type = typename std::conditional < has_key_compare::value, - typename object_t::key_compare, object_comparator_t>::type; -}; - -template -using actual_object_comparator_t = typename actual_object_comparator::type; - -/////////////////// -// is_ functions // -/////////////////// - -// https://en.cppreference.com/w/cpp/types/conjunction -template struct conjunction : std::true_type { }; -template struct conjunction : B { }; -template -struct conjunction -: std::conditional(B::value), conjunction, B>::type {}; - -// https://en.cppreference.com/w/cpp/types/negation -template struct negation : std::integral_constant < bool, !B::value > { }; - -// Reimplementation of is_constructible and is_default_constructible, due to them being broken for -// std::pair and std::tuple until LWG 2367 fix (see https://cplusplus.github.io/LWG/lwg-defects.html#2367). -// This causes compile errors in e.g. clang 3.5 or gcc 4.9. -template -struct is_default_constructible : std::is_default_constructible {}; - -template -struct is_default_constructible> - : conjunction, is_default_constructible> {}; - -template -struct is_default_constructible> - : conjunction, is_default_constructible> {}; - -template -struct is_default_constructible> - : conjunction...> {}; - -template -struct is_default_constructible> - : conjunction...> {}; - - -template -struct is_constructible : std::is_constructible {}; - -template -struct is_constructible> : is_default_constructible> {}; - -template -struct is_constructible> : is_default_constructible> {}; - -template -struct is_constructible> : is_default_constructible> {}; - -template -struct is_constructible> : is_default_constructible> {}; - - -template -struct is_iterator_traits : std::false_type {}; - -template -struct is_iterator_traits> -{ - private: - using traits = iterator_traits; - - public: - static constexpr auto value = - is_detected::value && - is_detected::value && - is_detected::value && - is_detected::value && - is_detected::value; -}; - -template -struct is_range -{ - private: - using t_ref = typename std::add_lvalue_reference::type; - - using iterator = detected_t; - using sentinel = detected_t; - - // to be 100% correct, it should use https://en.cppreference.com/w/cpp/iterator/input_or_output_iterator - // and https://en.cppreference.com/w/cpp/iterator/sentinel_for - // but reimplementing these would be too much work, as a lot of other concepts are used underneath - static constexpr auto is_iterator_begin = - is_iterator_traits>::value; - - public: - static constexpr bool value = !std::is_same::value && !std::is_same::value && is_iterator_begin; -}; - -template -using iterator_t = enable_if_t::value, result_of_begin())>>; - -template -using range_value_t = value_type_t>>; - -// The following implementation of is_complete_type is taken from -// https://blogs.msdn.microsoft.com/vcblog/2015/12/02/partial-support-for-expression-sfinae-in-vs-2015-update-1/ -// and is written by Xiang Fan who agreed to using it in this library. - -template -struct is_complete_type : std::false_type {}; - -template -struct is_complete_type : std::true_type {}; - -template -struct is_compatible_object_type_impl : std::false_type {}; - -template -struct is_compatible_object_type_impl < - BasicJsonType, CompatibleObjectType, - enable_if_t < is_detected::value&& - is_detected::value >> -{ - using object_t = typename BasicJsonType::object_t; - - // macOS's is_constructible does not play well with nonesuch... - static constexpr bool value = - is_constructible::value && - is_constructible::value; -}; - -template -struct is_compatible_object_type - : is_compatible_object_type_impl {}; - -template -struct is_constructible_object_type_impl : std::false_type {}; - -template -struct is_constructible_object_type_impl < - BasicJsonType, ConstructibleObjectType, - enable_if_t < is_detected::value&& - is_detected::value >> -{ - using object_t = typename BasicJsonType::object_t; - - static constexpr bool value = - (is_default_constructible::value && - (std::is_move_assignable::value || - std::is_copy_assignable::value) && - (is_constructible::value && - std::is_same < - typename object_t::mapped_type, - typename ConstructibleObjectType::mapped_type >::value)) || - (has_from_json::value || - has_non_default_from_json < - BasicJsonType, - typename ConstructibleObjectType::mapped_type >::value); -}; - -template -struct is_constructible_object_type - : is_constructible_object_type_impl {}; - -template -struct is_compatible_string_type -{ - static constexpr auto value = - is_constructible::value; -}; - -template -struct is_constructible_string_type -{ - // launder type through decltype() to fix compilation failure on ICPC -#ifdef __INTEL_COMPILER - using laundered_type = decltype(std::declval()); -#else - using laundered_type = ConstructibleStringType; -#endif - - static constexpr auto value = - conjunction < - is_constructible, - is_detected_exact>::value; -}; - -template -struct is_compatible_array_type_impl : std::false_type {}; - -template -struct is_compatible_array_type_impl < - BasicJsonType, CompatibleArrayType, - enable_if_t < - is_detected::value&& - is_iterator_traits>>::value&& -// special case for types like std::filesystem::path whose iterator's value_type are themselves -// c.f. https://github.com/nlohmann/json/pull/3073 - !std::is_same>::value >> -{ - static constexpr bool value = - is_constructible>::value; -}; - -template -struct is_compatible_array_type - : is_compatible_array_type_impl {}; - -template -struct is_constructible_array_type_impl : std::false_type {}; - -template -struct is_constructible_array_type_impl < - BasicJsonType, ConstructibleArrayType, - enable_if_t::value >> - : std::true_type {}; - -template -struct is_constructible_array_type_impl < - BasicJsonType, ConstructibleArrayType, - enable_if_t < !std::is_same::value&& - !is_compatible_string_type::value&& - is_default_constructible::value&& -(std::is_move_assignable::value || - std::is_copy_assignable::value)&& -is_detected::value&& -is_iterator_traits>>::value&& -is_detected::value&& -// special case for types like std::filesystem::path whose iterator's value_type are themselves -// c.f. https://github.com/nlohmann/json/pull/3073 -!std::is_same>::value&& - is_complete_type < - detected_t>::value >> -{ - using value_type = range_value_t; - - static constexpr bool value = - std::is_same::value || - has_from_json::value || - has_non_default_from_json < - BasicJsonType, - value_type >::value; -}; - -template -struct is_constructible_array_type - : is_constructible_array_type_impl {}; - -template -struct is_compatible_integer_type_impl : std::false_type {}; - -template -struct is_compatible_integer_type_impl < - RealIntegerType, CompatibleNumberIntegerType, - enable_if_t < std::is_integral::value&& - std::is_integral::value&& - !std::is_same::value >> -{ - // is there an assert somewhere on overflows? - using RealLimits = std::numeric_limits; - using CompatibleLimits = std::numeric_limits; - - static constexpr auto value = - is_constructible::value && - CompatibleLimits::is_integer && - RealLimits::is_signed == CompatibleLimits::is_signed; -}; - -template -struct is_compatible_integer_type - : is_compatible_integer_type_impl {}; - -template -struct is_compatible_type_impl: std::false_type {}; - -template -struct is_compatible_type_impl < - BasicJsonType, CompatibleType, - enable_if_t::value >> -{ - static constexpr bool value = - has_to_json::value; -}; - -template -struct is_compatible_type - : is_compatible_type_impl {}; - -template -struct is_constructible_tuple : std::false_type {}; - -template -struct is_constructible_tuple> : conjunction...> {}; - -template -struct is_json_iterator_of : std::false_type {}; - -template -struct is_json_iterator_of : std::true_type {}; - -template -struct is_json_iterator_of : std::true_type -{}; - -// checks if a given type T is a template specialization of Primary -template