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Set c++17 standard in CMake for recent torch/cuda versions #6

Set c++17 standard in CMake for recent torch/cuda versions

Set c++17 standard in CMake for recent torch/cuda versions #6

Workflow file for this run

name: CI-CUDA12
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
schedule:
# Run every Sunday at midnight
- cron: '0 0 * * 0'
defaults:
run:
shell: bash -l {0}
jobs:
build:
name: ${{ matrix.name }}
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
include:
# Latest supported versions (with CUDA)
- name: Linux (CUDA 12, Python 3.11, PyTorch 2.1)
cuda: "12"
gcc: "11.*"
python: "3.11.*"
torchani: "2.2.*"
pytorch: "2.1.*"
steps:
- name: Check out
uses: actions/checkout@v2
- name: Install Miniconda
uses: conda-incubator/setup-miniconda@v2
with:
activate-environment: ""
auto-activate-base: true
miniforge-variant: Mambaforge
- name: Prepare dependencies (with CUDA)
run: |
sed -i -e "/cudatoolkit/c\ - cuda ${{ matrix.cuda }}" \
-e "/gxx_linux-64/c\ - gxx ${{ matrix.gcc }}" \
-e "/torchani/c\ - torchani ${{ matrix.torchani }}" \
-e "/nvcc_linux-64/d" \
-e "/python/c\ - python ${{ matrix.python }}" \
-e "/pytorch-gpu/c\ - pytorch-gpu ${{ matrix.pytorch }}" \
environment.yml
- name: Show dependency file
run: cat environment.yml
- name: Install dependencies
run: mamba env create -n nnpops -f environment.yml
env:
# Needed to install pytorch-gpu on a machine without a GPU
CONDA_OVERRIDE_CUDA: ${{ matrix.cuda }}
- name: List conda environment
run: |
conda activate nnpops
conda list
- name: Configure, compile, and install
# CUDA_INC_PATH is required because of a bug in the torch CMake files
run: |
conda activate nnpops
mkdir build && cd build
cmake .. \
-DENABLE_CUDA=${{ matrix.enable_cuda }} \
-DTorch_DIR=$(python -c 'import torch.utils; print(torch.utils.cmake_prefix_path)')/Torch \
-DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX \
-DCUDA_INC_PATH=$CONDA_PREFIX/targets/x86_64-linux/include
make install
- name: Test
run: |
conda activate nnpops
cd build
ctest --verbose --exclude-regex TestCuda