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0be07e6aec
Pin minimal required versions for CUDA to 12.1. Reverts 910a31d7b7510e3375718ab1ea0d38df7bd2c0d5 PiperOrigin-RevId: 618911489
93 lines
2.6 KiB
Python
93 lines
2.6 KiB
Python
# Copyright 2023 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 functools
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import importlib
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import logging
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import os
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import pathlib
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import platform
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import sys
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from jax._src.lib import xla_client
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import jax._src.xla_bridge as xb
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# cuda_plugin_extension locates inside jaxlib. `jaxlib` is for testing without
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# preinstalled jax cuda plugin packages.
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for pkg_name in ['jax_cuda12_plugin', 'jaxlib']:
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try:
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cuda_plugin_extension = importlib.import_module(
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f'{pkg_name}.cuda_plugin_extension'
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)
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except ImportError:
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cuda_plugin_extension = None
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else:
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break
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logger = logging.getLogger(__name__)
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def _get_library_path():
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installed_path = (
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pathlib.Path(__file__).resolve().parent / 'xla_cuda_plugin.so'
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)
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if installed_path.exists():
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return installed_path
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local_path = os.path.join(
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os.path.dirname(__file__), 'pjrt_c_api_gpu_plugin.so'
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)
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if os.path.exists(local_path):
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logger.debug(
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'Native library %s does not exist. This most likely indicates an issue'
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' with how %s was built or installed. Fallback to local test'
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' library %s',
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installed_path,
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__package__,
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local_path,
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)
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return local_path
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logger.debug(
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'WARNING: Native library %s and local test library path %s do not'
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' exist. This most likely indicates an issue with how %s was built or'
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' installed or missing src files.',
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installed_path,
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local_path,
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__package__,
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)
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return None
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def initialize():
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path = _get_library_path()
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if path is None:
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return
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options = xla_client.generate_pjrt_gpu_plugin_options()
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c_api = xb.register_plugin(
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'cuda', priority=500, library_path=str(path), options=options
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)
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if cuda_plugin_extension:
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xla_client.register_custom_call_handler(
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"CUDA",
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functools.partial(
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cuda_plugin_extension.register_custom_call_target, c_api
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),
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)
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for _name, _value in cuda_plugin_extension.registrations().items():
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xla_client.register_custom_call_target(_name, _value, platform="CUDA")
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else:
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logger.warning('cuda_plugin_extension is not found.')
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