sgl-kernel adapt tensorrt llm custom allreduce

sgl-kernel/CMakeLists.txt

@@ -1,47 +1,75 @@
 cmake_minimum_required(VERSION 3.18)
 project(sgl-kernel LANGUAGES CXX CUDA)
 
+# Basic settings
 set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
-
 set(CMAKE_CUDA_STANDARD 17)
 set(CMAKE_CUDA_STANDARD_REQUIRED ON)
 
-find_package(PythonInterp 3 REQUIRED)
-find_package(PythonLibs 3 REQUIRED)
+# Set CUDA architectures
+set(CMAKE_CUDA_ARCHITECTURES "75;80;86;89;90")
+message(STATUS "Building for CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
+
+find_package(Python3 COMPONENTS Interpreter Development REQUIRED)
 
+# Find PyTorch
 execute_process(
-    COMMAND ${PYTHON_EXECUTABLE} -c "import torch; print(torch.utils.cmake_prefix_path)"
+    COMMAND ${Python3_EXECUTABLE} -c "import torch; print(torch.utils.cmake_prefix_path)"
     OUTPUT_VARIABLE TORCH_CMAKE_PATH
     OUTPUT_STRIP_TRAILING_WHITESPACE
 )
-
-message(STATUS "PYTHON_EXECUTABLE: ${PYTHON_EXECUTABLE}")
-message(STATUS "TORCH_CMAKE_PATH: ${TORCH_CMAKE_PATH}")
-
 list(APPEND CMAKE_PREFIX_PATH "${TORCH_CMAKE_PATH}")
 
 find_package(Torch REQUIRED)
 
-include_directories(${PYTHON_INCLUDE_DIRS})
-
+# Warp Reduce library
 add_library(warp_reduce SHARED
     src/sgl-kernel/csrc/warp_reduce.cc
     src/sgl-kernel/csrc/warp_reduce_kernel.cu
 )
 
-target_include_directories(warp_reduce PRIVATE
-    ${CUDA_INCLUDE_DIRS}
-    ${TORCH_INCLUDE_DIRS}
+target_include_directories(warp_reduce
+    PRIVATE
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/sgl-kernel/csrc
+        ${CUDA_INCLUDE_DIRS}
+        ${TORCH_INCLUDE_DIRS}
 )
 
-target_link_libraries(warp_reduce PRIVATE
-    ${TORCH_LIBRARIES}
-    ${PYTHON_LIBRARIES}
+target_link_libraries(warp_reduce
+    PRIVATE
+        ${TORCH_LIBRARIES}
+        Python3::Python
 )
 
-set_target_properties(warp_reduce PROPERTIES
-    CUDA_SEPARABLE_COMPILATION ON
+# TRT Reduce library
+add_library(trt_reduce SHARED
+    src/sgl-kernel/csrc/trt_reduce.cc
+    src/sgl-kernel/csrc/trt_reduce_internal.cu
+    src/sgl-kernel/csrc/trt_reduce_kernel.cu
 )
+
+target_include_directories(trt_reduce
+    PRIVATE
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/sgl-kernel/csrc
+        ${CUDA_INCLUDE_DIRS}
+        ${TORCH_INCLUDE_DIRS}
+)
+
+target_link_libraries(trt_reduce
+    PRIVATE
+        ${TORCH_LIBRARIES}
+        Python3::Python
+)
+
+# Set common properties for both libraries
+foreach(target warp_reduce trt_reduce)
+    set_target_properties(${target} PROPERTIES
+        CUDA_SEPARABLE_COMPILATION ON
+        POSITION_INDEPENDENT_CODE ON
+        CUDA_RESOLVE_DEVICE_SYMBOLS ON
+        PREFIX ""
+        SUFFIX ".so"
+    )
+endforeach()

sgl-kernel/Makefile

@@ -10,7 +10,7 @@ install:
 	@pip install -e .
 
 build:
-	@python3 setup.py bdist_wheel
+	@export MAX_JOBS=$(nproc) && python3 setup.py bdist_wheel
 
 clean:
 	@rm -rf build dist *.egg-info
@@ -19,4 +19,4 @@ test:
 	@pytest tests/
 
 format:
-	@find src tests -name '*.cc' -o -name '*.cu' -o -name '*.cuh' -o -name '*.h' | xargs clang-format -i && find src tests -name '*.py' | xargs isort && find src tests -name '*.py' | xargs black
+	@find src tests -name '*.cc' -o -name '*.cu' -o -name '*.cuh' -o -name '*.h' -o -name '*.hpp' | xargs clang-format -i && find src tests -name '*.py' | xargs isort && find src tests -name '*.py' | xargs black

sgl-kernel/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sgl-kernel"
-version = "0.0.2.post4"
+version = "0.0.2.post5"
 description = "Kernel Library for SGLang"
 readme = "README.md"
 requires-python = ">=3.8"

sgl-kernel/setup.py

@@ -84,7 +84,31 @@ def update_wheel_platform_tag():
             },
             libraries=["c10", "torch", "torch_python"],
             extra_link_args=["-Wl,-rpath,$ORIGIN/../../torch/lib"],
-        )
+        ),
+        CUDAExtension(
+            "sgl_kernel.ops.custom_reduce_cuda",
+            [
+                "src/sgl-kernel/csrc/trt_reduce_internal.cu",
+                "src/sgl-kernel/csrc/trt_reduce_kernel.cu",
+                "src/sgl-kernel/csrc/trt_reduce.cc",
+            ],
+            extra_compile_args={
+                "nvcc": [
+                    "-O3",
+                    "-Xcompiler",
+                    "-fPIC",
+                    "-gencode=arch=compute_75,code=sm_75",
+                    "-gencode=arch=compute_80,code=sm_80",
+                    "-gencode=arch=compute_89,code=sm_89",
+                    "-gencode=arch=compute_90,code=sm_90",
+                    "-U__CUDA_NO_HALF_OPERATORS__",
+                    "-U__CUDA_NO_HALF2_OPERATORS__",
+                ],
+                "cxx": ["-O3"],
+            },
+            libraries=["c10", "torch", "torch_python"],
+            extra_link_args=["-Wl,-rpath,$ORIGIN/../../torch/lib"],
+        ),
     ],
     cmdclass={"build_ext": BuildExtension},
     install_requires=["torch"],

sgl-kernel/src/sgl-kernel/__init__.py

@@ -1,3 +1,8 @@
-from .ops import warp_reduce
+from .ops import custom_dispose, custom_reduce, init_custom_reduce, warp_reduce
 
-__all__ = ["warp_reduce"]
+__all__ = [
+    "warp_reduce",
+    "init_custom_reduce",
+    "custom_dispose",
+    "custom_reduce",
+]

sgl-kernel/src/sgl-kernel/csrc/trt_reduce.cc

@@ -0,0 +1,13 @@
+#include <torch/extension.h>
+
+using fptr_t = int64_t;
+fptr_t init_custom_ar(int64_t rank_id, int64_t world_size, const std::vector<fptr_t>& buffers,
+                      const std::vector<fptr_t>& barrier_in, const std::vector<fptr_t>& barrier_out);
+void dispose(fptr_t _fa);
+void all_reduce(fptr_t _fa, torch::Tensor& inp, torch::Tensor& out);
+
+PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
+  m.def("init_custom_ar", &init_custom_ar, "init custom allreduce meta (CUDA)");
+  m.def("dispose", &dispose, "dispose custom allreduce meta");
+  m.def("all_reduce", &all_reduce, "custom all reduce (CUDA)");
+}