[MUSA][2/N] sgl-kernel build (#17053)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
This commit is contained in:
+14
@@ -266,3 +266,17 @@ python/sglang/_version.py
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python/sglang/srt/grpc/*_pb2.py
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python/sglang/srt/grpc/*_pb2.py
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python/sglang/srt/grpc/*_pb2_grpc.py
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python/sglang/srt/grpc/*_pb2_grpc.py
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python/sglang/srt/grpc/*_pb2.pyi
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python/sglang/srt/grpc/*_pb2.pyi
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# MUSA section
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# Generated source files by torchada
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sgl-kernel/csrc_musa/
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sgl-kernel/include_musa/
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sgl-kernel/csrc/**/*_musa/
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sgl-kernel/third_party/*/csrc_musa/
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sgl-kernel/third_party/*/include_musa/
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# Third-party libraries source code
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sgl-kernel/third_party/
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# MUSA core dump files
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core_*
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@@ -0,0 +1,25 @@
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# Moore Threads GPUs
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This document describes how run SGLang on Moore Threads GPUs. If you encounter issues or have questions, please [open an issue](https://github.com/sgl-project/sglang/issues).
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## Install SGLang
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You can install SGLang using one of the methods below.
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### Install from Source
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```bash
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# Use the default branch
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git clone https://github.com/sgl-project/sglang.git
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cd sglang
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# Compile sgl-kernel
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pip install --upgrade pip
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cd sgl-kernel
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python setup_musa.py install
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# Install sglang python package
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cd ..
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rm -f python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.toml
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pip install -e "python[all_musa]"
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```
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@@ -0,0 +1,51 @@
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/* Copyright 2025 SGLang Team. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <ATen/core/dispatch/Dispatcher.h>
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#include <torch/library.h>
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#include "sgl_kernel_ops.h"
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#include "torch_musa/csrc/aten/musa/MUSAContext.h"
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TORCH_LIBRARY_EXPAND(sgl_kernel, m) {
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/*
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* From FlashInfer
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*/
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m.def(
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"min_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? maybe_min_p_arr, float "
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"min_p_val, bool deterministic, Generator? gen) -> ()");
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m.impl("min_p_sampling_from_probs", torch::kMUSA, &min_p_sampling_from_probs);
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m.def("top_k_renorm_probs(Tensor probs, Tensor! renorm_probs, Tensor? maybe_top_k_arr, int top_k_val) -> ()");
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m.impl("top_k_renorm_probs", torch::kMUSA, &top_k_renorm_probs);
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m.def("top_p_renorm_probs(Tensor probs, Tensor! renorm_probs, Tensor? maybe_top_p_arr, float top_p_val) -> ()");
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m.impl("top_p_renorm_probs", torch::kMUSA, &top_p_renorm_probs);
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m.def(
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"top_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? "
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"maybe_top_p_arr, float top_p_val, bool deterministic, Generator? gen) -> ()");
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m.impl("top_p_sampling_from_probs", torch::kMUSA, &top_p_sampling_from_probs);
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m.def(
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"top_k_top_p_sampling_from_probs(Tensor probs, Tensor output, Tensor? maybe_indices, Tensor? maybe_top_k_arr, "
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"float top_k_val, Tensor? maybe_top_p_arr, float top_p_val, bool deterministic, Generator? gen) -> ()");
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m.impl("top_k_top_p_sampling_from_probs", torch::kMUSA, &top_k_top_p_sampling_from_probs);
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m.def("top_k_mask_logits(Tensor logits, Tensor mask_logits, Tensor? maybe_top_k_arr, int top_k_val) -> ()");
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m.impl("top_k_mask_logits", torch::kMUSA, &top_k_mask_logits);
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}
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REGISTER_EXTENSION(common_ops)
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@@ -0,0 +1,33 @@
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[build-system]
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requires = [
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"setuptools>=75.0",
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"scikit-build-core>=0.10",
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"torch",
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"torchada>=0.1.14",
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"wheel",
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]
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build-backend = "setuptools.build_meta"
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[project]
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name = "sgl-kernel"
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version = "0.3.20"
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description = "Kernel Library for SGLang"
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readme = "README.md"
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requires-python = ">=3.10"
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license = { file = "LICENSE" }
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classifiers = [
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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"Environment :: GPU :: MTHREADS MUSA"
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]
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dependencies = []
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[project.urls]
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"Homepage" = "https://github.com/sgl-project/sglang/tree/main/sgl-kernel"
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"Bug Tracker" = "https://github.com/sgl-project/sglang/issues"
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[tool.wheel]
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exclude = [
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"dist*",
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"tests*",
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]
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@@ -0,0 +1,205 @@
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# Copyright 2025 SGLang Team. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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import os
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import platform
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import subprocess
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import sys
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from pathlib import Path
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# isort: off
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import torch
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import torchada # noqa: F401
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# isort: on
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from setuptools import find_packages, setup
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from torch.utils.cpp_extension import BuildExtension, CUDAExtension
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root = Path(__file__).parent.resolve()
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third_party = Path("third_party")
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arch = platform.machine().lower()
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class _RepoInfo:
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"""Configuration for a third-party git repository."""
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def __init__(self, name, git_repository, git_tag, git_shallow=False):
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self.name = name
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self.git_repository = git_repository
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self.git_tag = git_tag
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self.git_shallow = git_shallow
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self.source_dir = third_party / name
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_FLASHINFER_REPO = _RepoInfo(
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name="flashinfer",
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git_repository="https://github.com/flashinfer-ai/flashinfer.git",
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git_tag="bc29697ba20b7e6bdb728ded98f04788e16ee021",
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git_shallow=False,
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)
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_MUTLASS_REPO = _RepoInfo(
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name="mutlass",
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git_repository="https://github.com/MooreThreads/mutlass.git",
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git_tag="3abd6a728aacd190df0d922514aca8a8bc3c46b7",
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git_shallow=False,
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)
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def _get_version():
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with open(root / "pyproject.toml") as f:
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for line in f:
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if line.startswith("version"):
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return line.split("=")[1].strip().strip('"')
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operator_namespace = "sgl_kernel"
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include_dirs = [
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root / "include",
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root / "include" / "impl",
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root / "csrc",
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root / _FLASHINFER_REPO.source_dir / "include",
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root / _FLASHINFER_REPO.source_dir / "csrc",
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root / _MUTLASS_REPO.source_dir / "include",
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]
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sources = [
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"csrc/common_extension_musa.cc",
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str(_FLASHINFER_REPO.source_dir / "csrc/norm.cu"),
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str(_FLASHINFER_REPO.source_dir / "csrc/renorm.cu"),
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str(_FLASHINFER_REPO.source_dir / "csrc/sampling.cu"),
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]
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cxx_flags = ["force_mcc"]
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libraries = ["c10", "torch", "torch_python"]
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extra_link_args = [
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"-Wl,-rpath,$ORIGIN/../../torch/lib",
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f"-L/usr/lib/{arch}-linux-gnu",
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"-lmublasLt",
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]
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default_target = "mp_31"
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mtgpu_target = os.environ.get("MTGPU_TARGET", default_target)
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if torch.musa.is_available():
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try:
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prop = torch.musa.get_device_properties(0)
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mtgpu_target = f"mp_{prop.major}{prop.minor}"
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except Exception as e:
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print(f"Warning: Failed to detect GPU properties: {e}")
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else:
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print(f"Warning: torch.musa not available. Using default target: {mtgpu_target}")
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if mtgpu_target not in ["mp_22", "mp_31"]:
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print(
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f"Warning: Unsupported GPU architecture detected '{mtgpu_target}'. Expected 'mp_22' or 'mp_31'."
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)
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sys.exit(1)
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mcc_flags = [
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"-DNDEBUG",
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f"-DOPERATOR_NAMESPACE={operator_namespace}",
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"-O3",
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"-fPIC",
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"-std=c++17",
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f"--cuda-gpu-arch={mtgpu_target}",
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"-x",
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"musa",
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"-mtgpu",
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"-Od3",
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"-ffast-math",
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"-fmusa-flush-denormals-to-zero",
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"-fno-strict-aliasing",
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"-DUSE_MUSA",
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"-DENABLE_BF16",
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"-DFLASHINFER_ENABLE_F16",
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"-DFLASHINFER_ENABLE_BF16",
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]
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if mtgpu_target == "mp_31":
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mcc_flags.extend(
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[
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"-DENABLE_FP8",
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"-DFLASHINFER_ENABLE_FP8",
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"-DFLASHINFER_ENABLE_FP8_E4M3",
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"-DFLASHINFER_ENABLE_FP8_E5M2",
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]
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)
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ext_modules = [
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CUDAExtension(
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name="sgl_kernel.common_ops",
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sources=sources,
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include_dirs=include_dirs,
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extra_compile_args={
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"mcc": mcc_flags,
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"cxx": cxx_flags,
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},
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libraries=libraries,
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extra_link_args=extra_link_args,
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py_limited_api=False,
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),
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]
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class _CustomBuildExt(BuildExtension):
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"""Custom build extension that clones third-party repositories before building."""
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@staticmethod
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def _clone_and_checkout(repo_path, repo_url, git_tag, git_shallow):
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"""Clone a git repository and checkout a specific tag/commit."""
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repo_path.parent.mkdir(exist_ok=True)
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if not repo_path.exists():
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clone_cmd = ["git", "clone"]
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if git_shallow:
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clone_cmd += ["--depth", "1"]
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clone_cmd += [repo_url, str(repo_path)]
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subprocess.check_call(clone_cmd)
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subprocess.check_call(["git", "checkout", git_tag], cwd=repo_path)
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else:
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subprocess.check_call(["git", "fetch", "--all"], cwd=repo_path)
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subprocess.check_call(["git", "checkout", git_tag], cwd=repo_path)
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def run(self):
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if os.environ.get("SKIP_THIRD_PARTY", "0") == "1":
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print("Skipping third-party repositories cloning (SKIP_THIRD_PARTY=1)")
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else:
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print("Cloning third-party repositories...")
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self._clone_and_checkout(
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_MUTLASS_REPO.source_dir,
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_MUTLASS_REPO.git_repository,
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_MUTLASS_REPO.git_tag,
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_MUTLASS_REPO.git_shallow,
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)
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self._clone_and_checkout(
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_FLASHINFER_REPO.source_dir,
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_FLASHINFER_REPO.git_repository,
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_FLASHINFER_REPO.git_tag,
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_FLASHINFER_REPO.git_shallow,
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)
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print("Third-party repositories ready.")
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super().run()
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setup(
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name="sgl-kernel",
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version=_get_version(),
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packages=find_packages(where="python"),
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package_dir={"": "python"},
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ext_modules=ext_modules,
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cmdclass={"build_ext": _CustomBuildExt.with_options(use_ninja=True)},
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options={"bdist_wheel": {"py_limited_api": "cp39"}},
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)
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Reference in New Issue
Block a user