[sgl-kernel] 1/N Refactor sglang cutlass 3x - gemm fp8 blockwise sm90 (#8913)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>
2025-08-15 01:55:54 +08:00
parent 1fea998a45
commit 432f2053dd
5 changed files with 322 additions and 151 deletions
--- a/sgl-kernel/csrc/cutlass_extensions/gemm/cutlass_gemm_caller.cuh
+++ b/sgl-kernel/csrc/cutlass_extensions/gemm/cutlass_gemm_caller.cuh
@@ -0,0 +1,62 @@
+// Adapted from
+// https://github.com/vllm-project/vllm/blob/main/csrc/quantization/cutlass_w8a8/c3x/cutlass_gemm_caller.cuh
+
+#pragma once
+
+// clang-format will break include orders
+// clang-format off
+#include <torch/all.h>
+
+#include <ATen/cuda/CUDAContext.h>
+#include <c10/cuda/CUDAGuard.h>
+
+#include "cutlass/cutlass.h"
+
+#include "cute/tensor.hpp"
+#include "cute/atom/mma_atom.hpp"
+#include "cutlass/numeric_types.h"
+
+#include "cutlass/gemm/device/gemm_universal_adapter.h"
+#include "cutlass/gemm/kernel/gemm_universal.hpp"
+#include "cutlass/epilogue/collective/collective_builder.hpp"
+#include "cutlass/gemm/collective/collective_builder.hpp"
+#include "cutlass/util/packed_stride.hpp"
+
+// clang-format on
+
+/**
+ * Helper function for checking CUTLASS errors
+ */
+#define CUTLASS_CHECK(status)                                                       \
+  {                                                                                 \
+    cutlass::Status error = status;                                                 \
+    TORCH_CHECK(error == cutlass::Status::kSuccess, cutlassGetStatusString(error)); \
+  }
+
+template <typename GemmKernel>
+void cutlass_gemm_caller(
+    torch::Device device,
+    cute::Shape<int, int, int, int> prob_shape,
+    typename GemmKernel::MainloopArguments mainloop_args,
+    typename GemmKernel::EpilogueArguments epilogue_args,
+    typename GemmKernel::TileSchedulerArguments scheduler = {}) {
+  cutlass::KernelHardwareInfo hw_info;
+  hw_info.device_id = c10::cuda::current_device();
+  hw_info.sm_count = at::cuda::getCurrentDeviceProperties()->multiProcessorCount;
+  typename GemmKernel::Arguments args{
+      cutlass::gemm::GemmUniversalMode::kGemm, prob_shape, mainloop_args, epilogue_args, hw_info, scheduler};
+
+  // Launch the CUTLASS GEMM kernel.
+  using GemmOp = cutlass::gemm::device::GemmUniversalAdapter<GemmKernel>;
+  GemmOp gemm_op;
+  CUTLASS_CHECK(gemm_op.can_implement(args));
+
+  size_t workspace_size = gemm_op.get_workspace_size(args);
+  auto const workspace_options = torch::TensorOptions().dtype(torch::kUInt8).device(device);
+  auto workspace = torch::empty(workspace_size, workspace_options);
+
+  auto stream = at::cuda::getCurrentCUDAStream(device.index());
+
+  cutlass::Status status = gemm_op.run(args, workspace.data_ptr(), stream);
+  CUTLASS_CHECK(status);
+}