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https://github.com/pytorch/pytorch.git
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21193bf123
Summary: Rehash of previous attempts. This tries a different approach where we accept the install as specified in cmake (leaving bin/ include/ and lib/ alone), and then try to adjust the rest of the files to this more standard layout. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16414 Differential Revision: D13863635 Pulled By: zdevito fbshipit-source-id: 23725f5c64d7509bf3ca8f472dcdcad074de9828
94 lines
3.4 KiB
Python
94 lines
3.4 KiB
Python
import argparse
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import os
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import sys
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source_files = {'.py', '.cpp', '.h'}
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DECLARATIONS_PATH = 'torch/share/ATen/Declarations.yaml'
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# TODO: This is a little inaccurate, because it will also pick
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# up setup_helper scripts which don't affect code generation
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def all_generator_source():
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r = []
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for directory, _, filenames in os.walk('tools'):
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for f in filenames:
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if os.path.splitext(f)[1] in source_files:
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full = os.path.join(directory, f)
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r.append(full)
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return sorted(r)
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inputs = [
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'torch/lib/THNN.h',
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'torch/lib/THCUNN.h',
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'torch/share/ATen/Declarations.yaml',
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'tools/autograd/derivatives.yaml',
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'tools/autograd/deprecated.yaml',
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]
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outputs = [
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'torch/csrc/autograd/generated/Functions.cpp',
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'torch/csrc/autograd/generated/Functions.h',
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'torch/csrc/autograd/generated/python_functions.cpp',
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'torch/csrc/autograd/generated/python_functions.h',
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'torch/csrc/autograd/generated/python_nn_functions.cpp',
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'torch/csrc/autograd/generated/python_nn_functions.h',
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'torch/csrc/autograd/generated/python_nn_functions_dispatch.h',
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'torch/csrc/autograd/generated/python_variable_methods.cpp',
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'torch/csrc/autograd/generated/python_variable_methods_dispatch.h',
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'torch/csrc/autograd/generated/variable_factories.h',
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'torch/csrc/autograd/generated/VariableType_0.cpp',
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'torch/csrc/autograd/generated/VariableType_1.cpp',
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'torch/csrc/autograd/generated/VariableType_2.cpp',
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'torch/csrc/autograd/generated/VariableType_3.cpp',
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'torch/csrc/autograd/generated/VariableType_4.cpp',
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'torch/csrc/autograd/generated/VariableType.h',
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'torch/csrc/jit/generated/register_aten_ops_0.cpp',
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'torch/csrc/jit/generated/register_aten_ops_1.cpp',
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'torch/csrc/jit/generated/register_aten_ops_2.cpp',
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]
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def generate_code(ninja_global=None,
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declarations_path=None,
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nn_path=None,
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install_dir=None):
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# cwrap depends on pyyaml, so we can't import it earlier
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root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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sys.path.insert(0, root)
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from tools.autograd.gen_autograd import gen_autograd
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from tools.jit.gen_jit_dispatch import gen_jit_dispatch
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from tools.nnwrap import generate_wrappers as generate_nn_wrappers
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# Build THNN/THCUNN.cwrap and then THNN/THCUNN.cpp. These are primarily
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# used by the legacy NN bindings.
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generate_nn_wrappers(nn_path, install_dir, 'tools/cwrap/plugins/templates')
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# Build ATen based Variable classes
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autograd_gen_dir = install_dir or 'torch/csrc/autograd/generated'
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jit_gen_dir = install_dir or 'torch/csrc/jit/generated'
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for d in (autograd_gen_dir, jit_gen_dir):
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if not os.path.exists(d):
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os.makedirs(d)
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gen_autograd(declarations_path or DECLARATIONS_PATH, autograd_gen_dir, 'tools/autograd')
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gen_jit_dispatch(declarations_path or DECLARATIONS_PATH, jit_gen_dir, 'tools/jit/templates')
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def main():
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parser = argparse.ArgumentParser(description='Autogenerate code')
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parser.add_argument('--declarations-path')
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parser.add_argument('--nn-path')
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parser.add_argument('--ninja-global')
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parser.add_argument('--install_dir')
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options = parser.parse_args()
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generate_code(options.ninja_global,
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options.declarations_path,
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options.nn_path,
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options.install_dir)
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if __name__ == "__main__":
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main()
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