[Kernel] Add CUTLASS sparse support, heuristics, and torch operators #10340
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CMakeLists.txt
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| FetchContent_Declare( | ||
| cutlass | ||
| GIT_REPOSITORY https://github.com/nvidia/cutlass.git | ||
| GIT_TAG v3.5.1 | ||
| GIT_TAG be692b48b01620eedabeef8325df5d4eeed6c2ae |
There was a problem hiding this comment.
Since we are pointing to a TAG, we cannot use GIT_SHALLOW -- see comment a few lines down
CMakeLists.txt
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| # | ||
| # The cutlass_scaled_mm kernels for Hopper (c3x, i.e. CUTLASS 3.x) require | ||
| # CUDA 12.0 or later (and only work on Hopper, 9.0/9.0a for now). | ||
| cuda_archs_loose_intersection(SCALED_MM_3X_ARCHS "9.0;9.0a" "${CUDA_ARCHS}") | ||
| if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER 12.0 AND SCALED_MM_3X_ARCHS) | ||
| set(SRCS "csrc/sparse/cutlass/sparse_compressor.cu") | ||
| set_gencode_flags_for_srcs( | ||
| SRCS "${SRCS}" | ||
| CUDA_ARCHS "${SCALED_MM_3X_ARCHS}") | ||
| list(APPEND VLLM_EXT_SRC "${SRCS}") | ||
| list(APPEND VLLM_GPU_FLAGS "-DENABLE_SCALED_MM_C3X=1") | ||
| message(STATUS "Building test_util for archs: ${SCALED_MM_3X_ARCHS}") | ||
| else() | ||
| if (NOT ${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER 12.0 AND SCALED_MM_3X_ARCHS) | ||
| message(STATUS "Not building test_util as CUDA Compiler version is " | ||
| "not >= 12.0, we recommend upgrading to CUDA 12.0 or " | ||
| "later if you intend on running FP8 quantized models on " | ||
| "Hopper.") | ||
| else() | ||
| message(STATUS "Not building test_util as no compatible archs found " | ||
| "in CUDA target architectures") | ||
| endif() | ||
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| # clear SCALED_MM_3X_ARCHS so the scaled_mm_c2x kernels know we didn't | ||
| # build any 3x kernels | ||
| set(SCALED_MM_3X_ARCHS) | ||
| endif() |
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Instead of copying this block of code, we should be able to add files to the set defined on line 256:
set(SRCS "csrc/quantization/cutlass_w8a8/scaled_mm_c3x.cu",
"csrc/sparse/cutlass/sparse_compressor.cu",
"csrc/sparse/cutlass/sparse_scaled_mm_c3x.cu")
nm_cutlass_c.cmake
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This pull request has merge conflicts that must be resolved before it can be |
Implements NVIDIA Cutlass 2:4 structured sparsity support in VLLM for LLM inference. This sparsification pattern maintains at most 2 non-zero weights out of every 4 weights in the model.
Changes