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https://github.com/pytorch/pytorch.git
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142 lines
4.8 KiB
Python
142 lines
4.8 KiB
Python
from setuptools import setup, Extension, distutils
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from tools.nnwrap import generate_wrappers as generate_nn_wrappers
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from tools.cwrap import cwrap
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from tools.cwrap.plugins.THPPlugin import THPPlugin
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from tools.cwrap.plugins.THPLongArgsPlugin import THPLongArgsPlugin
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from tools.cwrap.plugins.ArgcountSortPlugin import ArgcountSortPlugin
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from tools.cwrap.plugins.AutoGPU import AutoGPU
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import platform
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import subprocess
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import sys
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import os
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# TODO: detect CUDA
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WITH_CUDA = True
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DEBUG = False
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################################################################################
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# Monkey-patch setuptools to compile in parallel
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################################################################################
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def parallelCCompile(self, sources, output_dir=None, macros=None, include_dirs=None, debug=0, extra_preargs=None, extra_postargs=None, depends=None):
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# those lines are copied from distutils.ccompiler.CCompiler directly
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macros, objects, extra_postargs, pp_opts, build = self._setup_compile(output_dir, macros, include_dirs, sources, depends, extra_postargs)
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cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
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# compile using a thread pool
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import multiprocessing.pool
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def _single_compile(obj):
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src, ext = build[obj]
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self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
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num_jobs = multiprocessing.cpu_count()
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multiprocessing.pool.ThreadPool(num_jobs).map(_single_compile, objects)
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return objects
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distutils.ccompiler.CCompiler.compile = parallelCCompile
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################################################################################
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# Build libraries
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################################################################################
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# if subprocess.call(['bash', 'torch/lib/build_all.sh'] + (['--with-cuda'] if WITH_CUDA else [])) != 0:
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# sys.exit(1)
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################################################################################
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# Generate cpp code
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################################################################################
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# cwrap('torch/csrc/generic/TensorMethods.cwrap', plugins=[THPLongArgsPlugin(), THPPlugin(), ArgcountSortPlugin(), AutoGPU()])
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generate_nn_wrappers()
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################################################################################
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# Configure compile flags
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################################################################################
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include_dirs = []
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extra_link_args = []
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extra_compile_args = ['-std=c++11']
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cwd = os.path.dirname(os.path.abspath(__file__))
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lib_path = os.path.join(cwd, "torch", "lib")
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tmp_install_path = lib_path + "/tmp_install"
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include_dirs += [
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cwd,
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os.path.join(cwd, "torch", "csrc"),
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tmp_install_path + "/include",
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tmp_install_path + "/include/TH",
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]
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extra_link_args.append('-L' + lib_path)
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main_libraries = ['TH']
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main_sources = [
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"torch/csrc/Module.cpp",
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"torch/csrc/Generator.cpp",
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"torch/csrc/Tensor.cpp",
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"torch/csrc/Storage.cpp",
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"torch/csrc/utils.cpp",
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]
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if WITH_CUDA:
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if platform.system() == 'Darwin':
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include_dirs += ['/Developer/NVIDIA/CUDA-7.5/include']
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else:
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include_dirs += ['/usr/local/cuda/include']
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extra_compile_args += ['-DWITH_CUDA']
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main_libraries += ['THC']
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main_sources += [
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"torch/csrc/cuda/Module.cpp",
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"torch/csrc/cuda/Storage.cpp",
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"torch/csrc/cuda/Tensor.cpp",
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"torch/csrc/cuda/utils.cpp",
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]
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if DEBUG:
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extra_compile_args += ['-O0', '-g']
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extra_link_args += ['-O0', '-g']
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################################################################################
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# Declare extensions and the package
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################################################################################
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extensions = []
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C = Extension("torch._C",
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libraries=main_libraries,
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sources=main_sources,
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language='c++',
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extra_compile_args=extra_compile_args,
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include_dirs=include_dirs,
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extra_link_args=extra_link_args + ['-Wl,-rpath,$ORIGIN/lib'],
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)
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extensions.append(C)
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THNN = Extension("torch._thnn._THNN",
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libraries=['TH', 'THNN'],
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sources=['torch/csrc/nn/THNN.cpp'],
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language='c++',
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extra_compile_args=extra_compile_args,
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include_dirs=include_dirs,
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extra_link_args=extra_link_args + ['-Wl,-rpath,$ORIGIN/../lib'],
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)
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extensions.append(THNN)
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if WITH_CUDA:
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THCUNN = Extension("torch._thnn._THCUNN",
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libraries=['TH', 'THC', 'THCUNN'],
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sources=['torch/csrc/nn/THCUNN.cpp'],
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language='c++',
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extra_compile_args=extra_compile_args,
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include_dirs=include_dirs,
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extra_link_args=extra_link_args + ['-Wl,-rpath,$ORIGIN/../lib'],
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)
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extensions.append(THCUNN)
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setup(name="torch", version="0.1",
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ext_modules=extensions,
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packages=['torch', 'torch._thnn', 'torch.legacy', 'torch.legacy.nn', 'torch.legacy.optim'] + (['torch.cuda', 'torch.legacy.cunn'] if WITH_CUDA else []),
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package_data={'torch': ['lib/*.so', 'lib/*.h']}
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)
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