104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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"""Build script for GPU Memory Service with C++ extensions.
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This setup.py builds the C++ extensions as part of pip install.
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The _allocator_ext extension only requires Python headers (no CUDA or PyTorch needed).
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Following the torch_memory_saver pattern of using pure setuptools for extension building.
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"""
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from setuptools import Extension, setup
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from setuptools.command.build_ext import build_ext
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class BuildExtension(build_ext):
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"""Custom build extension for C++ modules."""
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def build_extensions(self):
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import os
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# Use CXX environment variable if set, otherwise default to g++
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cxx = os.environ.get("CXX", "g++")
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self.compiler.set_executable("compiler_so", cxx)
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self.compiler.set_executable("compiler_cxx", cxx)
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self.compiler.set_executable("linker_so", f"{cxx} -shared")
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build_ext.build_extensions(self)
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def _create_ext_modules():
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"""Create extension modules for gpu_memory_service."""
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# Common compile arguments
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extra_compile_args = ["-std=c++17", "-O3", "-fPIC"]
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# _allocator_ext: CUDAPluggableAllocator shim using only Python C API
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# No CUDA or PyTorch dependency - just provides my_malloc/my_free that call Python callbacks
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return [
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Extension(
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name="gpu_memory_service.client.torch.extensions._allocator_ext",
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sources=["client/torch/extensions/allocator.cpp"],
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extra_compile_args=extra_compile_args,
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)
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]
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setup(
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name="gpu-memory-service",
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version="0.9.0",
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description="GPU Memory Service for Dynamo - CUDA VMM-based GPU memory allocation and sharing",
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author="NVIDIA Inc.",
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author_email="sw-dl-dynamo@nvidia.com",
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license="Apache-2.0",
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python_requires=">=3.10",
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install_requires=[
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"msgpack>=1.0",
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"uvloop>=0.21.0",
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],
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extras_require={
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"test": [
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"pytest>=8.3.4",
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"pytest-asyncio",
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],
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},
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# Package directory mapping: the current directory IS the gpu_memory_service package
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packages=[
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"gpu_memory_service",
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"gpu_memory_service.cli",
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"gpu_memory_service.common",
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"gpu_memory_service.common.protocol",
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"gpu_memory_service.server",
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"gpu_memory_service.client",
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"gpu_memory_service.client.torch",
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"gpu_memory_service.client.torch.extensions",
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"gpu_memory_service.failover_lock",
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"gpu_memory_service.failover_lock.flock",
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"gpu_memory_service.integrations",
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"gpu_memory_service.integrations.common",
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"gpu_memory_service.integrations.sglang",
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"gpu_memory_service.integrations.vllm",
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],
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package_dir={
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"gpu_memory_service": ".",
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"gpu_memory_service.cli": "cli",
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"gpu_memory_service.common": "common",
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"gpu_memory_service.common.protocol": "common/protocol",
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"gpu_memory_service.server": "server",
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"gpu_memory_service.client": "client",
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"gpu_memory_service.client.torch": "client/torch",
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"gpu_memory_service.client.torch.extensions": "client/torch/extensions",
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"gpu_memory_service.failover_lock": "failover_lock",
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"gpu_memory_service.failover_lock.flock": "failover_lock/flock",
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"gpu_memory_service.integrations": "integrations",
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"gpu_memory_service.integrations.common": "integrations/common",
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"gpu_memory_service.integrations.sglang": "integrations/sglang",
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"gpu_memory_service.integrations.vllm": "integrations/vllm",
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},
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package_data={
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"gpu_memory_service.client.torch.extensions": ["*.cpp"],
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},
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ext_modules=_create_ext_modules(),
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cmdclass={"build_ext": BuildExtension},
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)
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