Vllm multi lora rocm

Dockerfile.rocm

@@ -52,6 +52,7 @@ RUN pip install xformers==0.0.23 --no-deps
 RUN cd /app \
     && cd vllm \
     && pip install -U -r requirements-rocm.txt \
+    && bash patch_rocm.rocm.sh \
     && bash patch_xformers.rocm.sh \
     && python3 setup.py install \
     && cd ..

README.md

@@ -1,3 +1,20 @@
+multi-lora rocm development
+
+Derived from [Yard1's multi-lora branch](https://github.com/Yard1/vllm/tree/multi_lora)
+
+[Important note]
+
+Starting from ROCm v5.7, some type conversion functions on bfloat16 are included and implemented in header files. Unfortunately a few of the host functions are not specified as inline or static, so building the project on ROCm directly would result in ODR violations when the translation units are being linked.
+
+A way to circumvent this is to manually add the `inline` or `static` keywards to the related functions. In the `rocm/pytorch` container that `Dockerfile.rocm` builds from, it means adding the keyword `inline` to `/opt/rocm/include/hip/amd_detail/amd_hip_bf16.h:96` so that the line becomes
+
+```cpp
+L96: #define __HOST_DEVICE__ __host__ __device__ inline
+```
+
+This is far from a pretty solution though. Even though it appears that [ROCm is fixing this](https://github.com/ROCm/clr/commit/86bd518981b364c138f9901b28a529899d8654f3), it doesn't seem to be included in ROCm 6.0.0. Fixes like this may need to stay around until better solutions come out.
+
+
 <p align="center">
   <picture>
     <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/vllm-project/vllm/main/docs/source/assets/logos/vllm-logo-text-dark.png">

benchmarks/benchmark_latency.py

@@ -65,7 +65,9 @@ def run_to_completion(profile_dir: Optional[str] = None):
     if args.profile:
         profile_dir = args.profile_result_dir
         if not profile_dir:
-            profile_dir = Path(".") / "vllm_benchmark_result" / f"latency_result_{time.time()}"
+            profile_dir = Path(
+                "."
+            ) / "vllm_benchmark_result" / f"latency_result_{time.time()}"
         print(f"Profiling (results will be saved to '{profile_dir}')...")
         run_to_completion(profile_dir=args.profile_result_dir)
         return
@@ -123,9 +125,7 @@ def run_to_completion(profile_dir: Optional[str] = None):
         '--profile-result-dir',
         type=str,
         default=None,
-        help=(
-            'path to save the pytorch profiler output. Can be visualized '
-            'with ui.perfetto.dev or Tensorboard.'
-        ))
+        help=('path to save the pytorch profiler output. Can be visualized '
+              'with ui.perfetto.dev or Tensorboard.'))
     args = parser.parse_args()
     main(args)

csrc/cuda_compat.h

@@ -18,6 +18,12 @@
   #define VLLM_SHFL_SYNC(var, src_lane) __shfl(var, src_lane)
 #endif
 
+#ifndef USE_ROCM
+  #define VLLM_SHFL_DOWN_SYNC(var, lane_delta) __shfl_down_sync(uint32_t(-1), var, lane_delta)
+#else
+  #define VLLM_SHFL_DOWN_SYNC(var, lane_delta) __shfl_down(var, lane_delta)
+#endif
+
 #ifndef USE_ROCM
   #define VLLM_DevFuncAttribute_SET_MaxDynamicSharedMemorySize(FUNC, VAL) \
     cudaFuncSetAttribute(FUNC, cudaFuncAttributeMaxDynamicSharedMemorySize, VAL)

csrc/punica/LICENSE

@@ -0,0 +1,217 @@
+Contains code from https://github.com/punica-ai/punica
+
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+------------------------------------------------------------------------------------
+
+This product bundles various third-party components under other open source licenses.
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+Apache-2.0
+* third_party/nvbench (with LLVM exception)
+* third_party/flashinfer
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+* third_party/cutlass

csrc/punica/bgmv/bgmv_all.cu

@@ -0,0 +1,21 @@
+#include "bgmv_config.h"
+#include "bgmv_impl.cuh"
+
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, nv_half, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, nv_half, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, nv_bfloat16, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, nv_bfloat16, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, nv_bfloat16, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, nv_half, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, nv_bfloat16, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, nv_half, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, nv_half, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, nv_half, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, nv_bfloat16, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, nv_bfloat16, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, float, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_half, float, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, float, nv_bfloat16)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, nv_bfloat16, float, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, float, nv_half)
+FOR_BGMV_WIDE_NARROW(INST_BGMV_TWOSIDE, float, float, nv_bfloat16)

csrc/punica/bgmv/bgmv_config.h

@@ -0,0 +1,63 @@
+#pragma once
+
+template <int feat_in, int feat_out, typename in_T, typename out_T,
+          typename W_T>
+void bgmv_kernel(out_T *__restrict__ Y, const in_T *__restrict__ X,
+                 const W_T *__restrict__ W,
+                 const int64_t *__restrict__ indicies, int64_t y_offset,
+                 int64_t full_y_size, int64_t batch_size, int64_t num_layers,
+                 int64_t layer_idx, float scale);
+
+// clang-format off
+
+#define FOR_BGMV_WIDE_exc128(f, in_T, out_T, W_T, narrow) \
+    f(in_T, out_T, W_T, narrow, 256) \
+    f(in_T, out_T, W_T, narrow, 512) \
+    f(in_T, out_T, W_T, narrow, 1024) \
+    f(in_T, out_T, W_T, narrow, 1280) \
+    f(in_T, out_T, W_T, narrow, 1728) \
+    f(in_T, out_T, W_T, narrow, 1792) \
+    f(in_T, out_T, W_T, narrow, 2048) \
+    f(in_T, out_T, W_T, narrow, 2560) \
+    f(in_T, out_T, W_T, narrow, 2752) \
+    f(in_T, out_T, W_T, narrow, 3072) \
+    f(in_T, out_T, W_T, narrow, 3456) \
+    f(in_T, out_T, W_T, narrow, 3584) \
+    f(in_T, out_T, W_T, narrow, 4096) \
+    f(in_T, out_T, W_T, narrow, 5120) \
+    f(in_T, out_T, W_T, narrow, 5504) \
+    f(in_T, out_T, W_T, narrow, 6912) \
+    f(in_T, out_T, W_T, narrow, 7168) \
+    f(in_T, out_T, W_T, narrow, 8192) \
+    f(in_T, out_T, W_T, narrow, 9216) \
+    f(in_T, out_T, W_T, narrow, 10240) \
+    f(in_T, out_T, W_T, narrow, 11008) \
+    f(in_T, out_T, W_T, narrow, 12288) \
+    f(in_T, out_T, W_T, narrow, 13824) \
+    f(in_T, out_T, W_T, narrow, 14336) \
+    f(in_T, out_T, W_T, narrow, 16384) \
+    f(in_T, out_T, W_T, narrow, 20480) \
+    f(in_T, out_T, W_T, narrow, 28672) \
+    f(in_T, out_T, W_T, narrow, 32000) \
+    f(in_T, out_T, W_T, narrow, 32256) \
+    f(in_T, out_T, W_T, narrow, 32512) \
+    f(in_T, out_T, W_T, narrow, 32768) \
+    f(in_T, out_T, W_T, narrow, 33024) \
+    f(in_T, out_T, W_T, narrow, 36864) \
+    f(in_T, out_T, W_T, narrow, 49152) \
+// Keep above in sync with vllm/lora/layers::SamplerWithLoRA
+
+#define FOR_BGMV_WIDE(f, in_T, out_T, W_T, narrow) \
+    f(in_T, out_T, W_T, narrow, 128) \
+    FOR_BGMV_WIDE_exc128(f, in_T, out_T, W_T, narrow) \
+// Keep above in sync with vllm/lora/layers::SamplerWithLoRA
+
+// Keep this in sync with vllm/config::LoRAConfig
+#define FOR_BGMV_WIDE_NARROW(f, in_T, out_T, W_T) \
+    FOR_BGMV_WIDE(f, in_T, out_T, W_T, 8)  \
+    FOR_BGMV_WIDE(f, in_T, out_T, W_T, 16) \
+    FOR_BGMV_WIDE(f, in_T, out_T, W_T, 32) \
+    FOR_BGMV_WIDE(f, in_T, out_T, W_T, 64) \
+    FOR_BGMV_WIDE_exc128(f, in_T, out_T, W_T, 128)
+
+// clang-format on