mirror of
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128 lines
4.3 KiB
Python
128 lines
4.3 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, find_packages
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project_name = 'jax'
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_current_jaxlib_version = '0.5.1'
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# The following should be updated after each new jaxlib release.
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_latest_jaxlib_version_on_pypi = '0.5.1'
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_libtpu_version = '0.0.10.*'
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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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_jax_version = _version_module._version # JAX version, with no .dev suffix.
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_cmdclass = _version_module._get_cmdclass(project_name)
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_minimum_jaxlib_version = _version_module._minimum_jaxlib_version
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with open('README.md', encoding='utf-8') as f:
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_long_description = f.read()
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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='Differentiate, compile, and transform Numpy code.',
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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=find_packages(exclude=["*examples*", "*internal_test_util*"]),
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package_data={'jax': ['py.typed', "*.pyi", "**/*.pyi"]},
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python_requires='>=3.10',
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install_requires=[
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f'jaxlib >={_minimum_jaxlib_version}, <={_jax_version}',
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'ml_dtypes>=0.4.0',
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'numpy>=1.25',
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"numpy>=1.26.0; python_version>='3.12'",
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'opt_einsum',
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'scipy>=1.11.1',
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],
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extras_require={
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# Minimum jaxlib version; used in testing.
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'minimum-jaxlib': [f'jaxlib=={_minimum_jaxlib_version}'],
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# A CPU-only jax doesn't require any extras, but we keep this extra
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# around for compatibility.
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'cpu': [],
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# Used only for CI builds that install JAX from github HEAD.
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'ci': [f'jaxlib=={_latest_jaxlib_version_on_pypi}'],
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# Cloud TPU VM jaxlib can be installed via:
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# $ pip install "jax[tpu]"
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'tpu': [
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f'jaxlib>={_current_jaxlib_version},<={_jax_version}',
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f'libtpu=={_libtpu_version}',
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'requests', # necessary for jax.distributed.initialize
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],
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'cuda': [
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f"jaxlib=={_current_jaxlib_version}",
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f"jax-cuda12-plugin[with_cuda]>={_current_jaxlib_version},<={_jax_version}",
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],
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'cuda12': [
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f"jaxlib=={_current_jaxlib_version}",
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f"jax-cuda12-plugin[with_cuda]>={_current_jaxlib_version},<={_jax_version}",
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],
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# Deprecated alias for cuda12, kept to avoid breaking users who wrote
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# cuda12_pip in their CI.
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'cuda12_pip': [
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f"jaxlib=={_current_jaxlib_version}",
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f"jax-cuda12-plugin[with_cuda]>={_current_jaxlib_version},<={_jax_version}",
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],
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# Target that does not depend on the CUDA pip wheels, for those who want
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# to use a preinstalled CUDA.
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'cuda12_local': [
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f"jaxlib=={_current_jaxlib_version}",
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f"jax-cuda12-plugin=={_current_jaxlib_version}",
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],
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# ROCm support for ROCm 6.0 and above.
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'rocm': [
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f"jaxlib=={_current_jaxlib_version}",
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f"jax-rocm60-plugin>={_current_jaxlib_version},<={_jax_version}",
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],
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# For automatic bootstrapping distributed jobs in Kubernetes
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'k8s': [
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'kubernetes',
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],
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},
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url='https://github.com/jax-ml/jax',
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license='Apache-2.0',
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classifiers=[
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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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"Programming Language :: Python :: 3.13",
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],
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zip_safe=False,
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)
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