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11a40410e7
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/34774 This PR provides pybind11's `type_caster<at::Generator>` that allows mapping `at::Generator` instance returned from user-defined method to python `torch::Generator`, defined as `THPGenerator ` c++ class. This allows 1) defining custom RNG in c++ extension 2) using custom RNG in python code. `TestRNGExtension.test_rng` shows how to use custom RNG defined in `rng_extension.cpp` Test Plan: Imported from OSS Differential Revision: D20549451 Pulled By: pbelevich fbshipit-source-id: 312a6deccf8228f7f60695bbf95834620d52f5eb
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
import sys
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import torch.cuda
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import os
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from setuptools import setup
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from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
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from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
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if sys.platform == 'win32':
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vc_version = os.getenv('VCToolsVersion', '')
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if vc_version.startswith('14.16.'):
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CXX_FLAGS = ['/sdl']
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else:
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CXX_FLAGS = ['/sdl', '/permissive-']
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else:
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CXX_FLAGS = ['-g']
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USE_NINJA = os.getenv('USE_NINJA') == '1'
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ext_modules = [
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CppExtension(
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'torch_test_cpp_extension.cpp', ['extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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CppExtension(
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'torch_test_cpp_extension.msnpu', ['msnpu_extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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CppExtension(
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'torch_test_cpp_extension.rng', ['rng_extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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]
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if torch.cuda.is_available() and CUDA_HOME is not None:
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extension = CUDAExtension(
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'torch_test_cpp_extension.cuda', [
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'cuda_extension.cpp',
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'cuda_extension_kernel.cu',
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'cuda_extension_kernel2.cu',
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],
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extra_compile_args={'cxx': CXX_FLAGS,
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'nvcc': ['-O2']})
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ext_modules.append(extension)
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elif torch.cuda.is_available() and ROCM_HOME is not None:
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from torch.utils.hipify import hipify_python
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this_dir = os.path.dirname(os.path.abspath(__file__))
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hipify_python.hipify(
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project_directory=this_dir,
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output_directory=this_dir,
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includes="./*",
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show_detailed=True,
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is_pytorch_extension=True,)
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extension = CUDAExtension(
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'torch_test_cpp_extension.cuda', [
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'cuda_extension.cpp',
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'hip/hip_extension_kernel.hip',
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'hip/hip_extension_kernel2.hip',
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])
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ext_modules.append(extension)
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setup(
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name='torch_test_cpp_extension',
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packages=['torch_test_cpp_extension'],
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ext_modules=ext_modules,
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cmdclass={'build_ext': BuildExtension.with_options(use_ninja=USE_NINJA)})
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