[Kernel] Add w8a8 CUTLASS kernels

CMakeLists.txt

@@ -173,14 +173,38 @@ set(VLLM_EXT_SRC
   "csrc/pybind.cpp")
 
 if(VLLM_GPU_LANG STREQUAL "CUDA")
+  include(FetchContent)
+  SET(CUTLASS_ENABLE_HEADERS_ONLY=ON)
+  FetchContent_Declare(
+        cutlass 
+        GIT_REPOSITORY https://github.com/nvidia/cutlass.git
+        # CUTLASS 3.5.0
+        GIT_TAG 7d49e6c7e2f8896c47f586706e67e1fb215529dc
+  )
+  FetchContent_MakeAvailable(cutlass)
+
   list(APPEND VLLM_EXT_SRC
     "csrc/quantization/aqlm/gemm_kernels.cu"
     "csrc/quantization/awq/gemm_kernels.cu"
     "csrc/quantization/marlin/dense/marlin_cuda_kernel.cu"
     "csrc/quantization/marlin/sparse/marlin_24_cuda_kernel.cu"
     "csrc/quantization/gptq_marlin/gptq_marlin.cu"
     "csrc/quantization/gptq_marlin/gptq_marlin_repack.cu"
-    "csrc/custom_all_reduce.cu")
+    "csrc/custom_all_reduce.cu"
+    "csrc/quantization/cutlass_w8a8/scaled_mm_dq_entry.cu"
+    "csrc/quantization/cutlass_w8a8/scaled_mm_dq_c2x.cu"
+    "csrc/quantization/cutlass_w8a8/scaled_mm_dq_c3x.cu")
+
+  #
+  # The CUTLASS kernels for Hopper require sm90a to be enabled.
+  # This is done via the below gencode option, BUT that creates kernels for both sm90 and sm90a.
+  # That adds an extra 17MB to compiled binary, so instead we selectively enable it.
+  set_source_files_properties(
+      "csrc/quantization/cutlass_w8a8/scaled_mm_dq_c3x.cu"
+      PROPERTIES
+      COMPILE_FLAGS
+      "-gencode arch=compute_90a,code=sm_90a")
+
 endif()
 
 define_gpu_extension_target(
@@ -190,6 +214,7 @@ define_gpu_extension_target(
   SOURCES ${VLLM_EXT_SRC}
   COMPILE_FLAGS ${VLLM_GPU_FLAGS}
   ARCHITECTURES ${VLLM_GPU_ARCHES}
+  INCLUDE_DIRECTORIES ${CUTLASS_INCLUDE_DIR};${CUTLASS_TOOLS_UTIL_INCLUDE_DIR}
   WITH_SOABI)
 
 #

csrc/ops.h

@@ -155,6 +155,14 @@ torch::Tensor gptq_marlin_repack(
   int64_t size_k,
   int64_t size_n,
   int64_t num_bits);
+
+int cutlass_scaled_mm_dq(
+    torch::Tensor& out, 
+    torch::Tensor const &a, 
+    torch::Tensor const &b,
+    torch::Tensor const &a_scales,
+    torch::Tensor const &b_scales);
+
 #endif
 
 void squeezellm_gemm(

csrc/pybind.cpp

@@ -71,6 +71,7 @@ PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
   ops.def("gptq_marlin_gemm", &gptq_marlin_gemm, "gptq_marlin Optimized Quantized GEMM for GPTQ");
   ops.def("gptq_marlin_repack", &gptq_marlin_repack, "gptq_marlin repack from GPTQ");
   ops.def("awq_dequantize", &awq_dequantize, "Dequantization for AWQ");
+  ops.def("cutlass_scaled_mm_dq", &cutlass_scaled_mm_dq, "CUTLASS w8a8 GEMM, supporting symmetric per-tensor or per-row/column quantization.");
 #endif
 
   ops.def("gptq_gemm", &gptq_gemm, "Quantized GEMM for GPTQ");

csrc/quantization/cutlass_w8a8/common.hpp

@@ -0,0 +1,12 @@
+#pragma once
+
+#include "cutlass/cutlass.h"
+
+/**
+ * Helper function for checking CUTLASS errors
+ */
+#define CUTLASS_CHECK(status)                        \
+  {                                                  \
+    TORCH_CHECK(status == cutlass::Status::kSuccess, \
+                cutlassGetStatusString(status))      \
+  }