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#pragma once |
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#include <torch/all.h> |
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#include <ATen/cuda/CUDAContext.h> |
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#include "cutlass/cutlass.h" |
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#include "cute/tensor.hpp" |
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#include "cute/atom/mma_atom.hpp" |
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#include "cutlass/numeric_types.h" |
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#include "cutlass/gemm/device/gemm_universal_adapter.h" |
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#include "cutlass/gemm/kernel/gemm_universal.hpp" |
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#include "cutlass/epilogue/collective/collective_builder.hpp" |
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#include "cutlass/gemm/collective/collective_builder.hpp" |
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#include "cutlass/util/packed_stride.hpp" |
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#include "core/math.hpp" |
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#include "cutlass_extensions/common.hpp" |
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namespace vllm::c3x { |
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static inline cute::Shape<int, int, int, int> get_problem_shape( |
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torch::Tensor const& a, torch::Tensor const& b) { |
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int32_t m = a.size(0), n = b.size(1), k = a.size(1); |
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return {m, n, k, 1}; |
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} |
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template <typename GemmKernel> |
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void cutlass_gemm_caller( |
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torch::Device device, cute::Shape<int, int, int, int> prob_shape, |
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typename GemmKernel::MainloopArguments mainloop_args, |
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typename GemmKernel::EpilogueArguments epilogue_args, |
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typename GemmKernel::TileSchedulerArguments scheduler = {}) { |
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cutlass::KernelHardwareInfo hw_info; |
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typename GemmKernel::Arguments args{cutlass::gemm::GemmUniversalMode::kGemm, |
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prob_shape, |
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mainloop_args, |
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epilogue_args, |
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hw_info, |
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scheduler}; |
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using GemmOp = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>; |
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GemmOp gemm_op; |
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CUTLASS_CHECK(gemm_op.can_implement(args)); |
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size_t workspace_size = gemm_op.get_workspace_size(args); |
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auto const workspace_options = |
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torch::TensorOptions().dtype(torch::kUInt8).device(device); |
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auto workspace = torch::empty(workspace_size, workspace_options); |
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auto stream = at::cuda::getCurrentCUDAStream(device.index()); |
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cutlass::Status status = gemm_op.run(args, workspace.data_ptr(), stream); |
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CUTLASS_CHECK(status); |
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} |
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template <typename Gemm, typename... EpilogueArgs> |
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void cutlass_gemm_caller(torch::Tensor& out, torch::Tensor const& a, |
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torch::Tensor const& b, |
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EpilogueArgs&&... epilogue_params) { |
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using ElementAB = typename Gemm::ElementAB; |
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using ElementC = typename Gemm::ElementC; |
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using ElementD = typename Gemm::ElementD; |
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using GemmKernel = typename Gemm::GemmKernel; |
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using StrideA = typename Gemm::GemmKernel::StrideA; |
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using StrideB = typename Gemm::GemmKernel::StrideB; |
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using StrideC = typename Gemm::GemmKernel::StrideC; |
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using StrideD = StrideC; |
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using StrideAux = StrideC; |
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typename GemmKernel::ProblemShape prob_shape = get_problem_shape(a, b); |
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auto [M, N, K, L] = prob_shape; |
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StrideA a_stride = |
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cutlass::make_cute_packed_stride(StrideA{}, cute::make_shape(M, K, L)); |
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StrideB b_stride = |
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cutlass::make_cute_packed_stride(StrideB{}, cute::make_shape(N, K, L)); |
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StrideC c_stride = |
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cutlass::make_cute_packed_stride(StrideC{}, cute::make_shape(M, N, L)); |
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StrideD d_stride = |
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cutlass::make_cute_packed_stride(StrideD{}, cute::make_shape(M, N, L)); |
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StrideAux aux_stride = d_stride; |
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auto a_ptr = static_cast<ElementAB*>(a.data_ptr()); |
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auto b_ptr = static_cast<ElementAB*>(b.data_ptr()); |
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typename GemmKernel::MainloopArguments mainloop_args{a_ptr, a_stride, b_ptr, |
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b_stride}; |
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auto c_ptr = static_cast<ElementD*>(out.data_ptr()); |
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typename GemmKernel::EpilogueArguments epilogue_args{ |
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Gemm::Epilogue::prepare_args( |
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std::forward<EpilogueArgs>(epilogue_params)...), |
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c_ptr, c_stride, c_ptr, d_stride}; |
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cutlass_gemm_caller<GemmKernel>(a.device(), prob_shape, mainloop_args, |
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epilogue_args); |
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} |
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} |
