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https://github.com/ROCm/jax.git
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88790711e8
The new "typed" API that XLA provides for foreign function calls is header-only and packaging it as part of jaxlib could simplify the open source workflow for building custom calls. It's not completely obvious that we need to include this, because jaxlib isn't strictly required as a _build_ dependency for FFI calls, although it typically will be required as a _run time_ dependency. Also, it probably wouldn't be too painful for external projects to use the headers directly from the openxla/xla repo. All that being said, I wanted to figure out how to do this, and it has been requested a few times.
128 lines
4.0 KiB
Python
128 lines
4.0 KiB
Python
# Copyright 2018 The JAX Authors.
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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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# https://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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import importlib
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import os
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from setuptools import setup
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from setuptools.dist import Distribution
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__version__ = None
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project_name = 'jaxlib'
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def load_version_module(pkg_path):
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spec = importlib.util.spec_from_file_location(
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'version', os.path.join(pkg_path, 'version.py'))
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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_version_module = load_version_module(project_name)
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__version__ = _version_module._get_version_for_build()
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_cmdclass = _version_module._get_cmdclass(project_name)
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with open('README.md') as f:
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_long_description = f.read()
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cuda_version = os.environ.get("JAX_CUDA_VERSION")
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cudnn_version = os.environ.get("JAX_CUDNN_VERSION")
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if cuda_version and cudnn_version:
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__version__ += f"+cuda{cuda_version.replace('.', '')}-cudnn{cudnn_version.replace('.', '')}"
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rocm_version = os.environ.get("JAX_ROCM_VERSION")
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if rocm_version:
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__version__ += f"+rocm{rocm_version.replace('.', '')}"
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class BinaryDistribution(Distribution):
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"""This class makes 'bdist_wheel' include an ABI tag on the wheel."""
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def has_ext_modules(self):
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return True
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setup(
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name=project_name,
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version=__version__,
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cmdclass=_cmdclass,
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description='XLA library for JAX',
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long_description=_long_description,
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long_description_content_type='text/markdown',
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author='JAX team',
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author_email='jax-dev@google.com',
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packages=['jaxlib', 'jaxlib.xla_extension'],
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python_requires='>=3.9',
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install_requires=[
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'scipy>=1.9',
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"scipy>=1.11.1; python_version>='3.12'",
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'numpy>=1.22',
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'ml_dtypes>=0.2.0',
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],
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extras_require={
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'cuda12_pip': [
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"nvidia-cublas-cu12>=12.1.3.1",
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"nvidia-cuda-cupti-cu12>=12.1.105",
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"nvidia-cuda-nvcc-cu12>=12.1.105",
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"nvidia-cuda-runtime-cu12>=12.1.105",
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# https://docs.nvidia.com/deeplearning/cudnn/developer/misc.html#cudnn-api-compatibility
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"nvidia-cudnn-cu12>=8.9.2.26,<9.0",
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"nvidia-cufft-cu12>=11.0.2.54",
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"nvidia-cusolver-cu12>=11.4.5.107",
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"nvidia-cusparse-cu12>=12.1.0.106",
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"nvidia-nccl-cu12>=2.18.1",
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"nvidia-nvjitlink-cu12>=12.1.105",
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],
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},
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url='https://github.com/google/jax',
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license='Apache-2.0',
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classifiers=[
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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],
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package_data={
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'jaxlib': [
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'*.so',
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'*.pyd*',
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'py.typed',
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'cpu/*',
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'cuda/*',
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'cuda/nvvm/libdevice/libdevice*',
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'mosaic/*.py',
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'mosaic/gpu/*.so',
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'mosaic/python/*.py',
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'mosaic/python/*.so',
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'mlir/*.py',
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'mlir/*.pyi',
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'mlir/dialects/*.py',
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'mlir/dialects/gpu/*.py',
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'mlir/dialects/gpu/passes/*.py',
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'mlir/extras/*.py',
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'mlir/_mlir_libs/*.dll',
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'mlir/_mlir_libs/*.dylib',
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'mlir/_mlir_libs/*.so',
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'mlir/_mlir_libs/*.pyd',
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'mlir/_mlir_libs/*.py',
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'mlir/_mlir_libs/*.pyi',
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'rocm/*',
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'triton/*.py',
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'triton/*.pyi',
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'triton/*.pyd',
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'triton/*.so',
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'include/xla/ffi/api/*.h',
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],
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'jaxlib.xla_extension': ['*.pyi'],
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},
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zip_safe=False,
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distclass=BinaryDistribution,
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)
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