mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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# http://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 platform
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from setuptools import find_packages, setup
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from setuptools.dist import Distribution
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requirements_filename = "requirements-windows.txt" if platform.system(
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) == "Windows" else "requirements.txt"
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with open(requirements_filename) as f:
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requirements = f.read().splitlines()
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def extract_url(line):
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return next(filter(lambda x: x[0] != '-', line.split()))
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extra_URLs = []
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required_deps = []
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for line in requirements:
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if line[0] == "#":
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continue
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# handle -i and --extra-index-url options
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if "-i " in line or "--extra-index-url" in line:
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extra_URLs.append(extract_url(line))
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else:
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required_deps.append(line)
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class BinaryDistribution(Distribution):
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def has_ext_modules(self):
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return False
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def is_pure(self):
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return True
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setup_kwargs = {}
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setup(
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name='tensorrt_llm',
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version='0.1.3',
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description='TensorRT-LLM: A TensorRT Toolbox for Large Language Models',
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install_requires=required_deps,
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dependency_links=extra_URLs,
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zip_safe=True,
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packages=find_packages(),
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package_data={
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'tensorrt_llm':
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(['libs/th_common.dll', 'libs/nvinfer_plugin_tensorrt_llm.dll']
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if platform.system() == "Windows" else
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['libs/libth_common.so', 'libs/libnvinfer_plugin_tensorrt_llm.so']) +
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['tools/plugin_gen/templates/*']
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},
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python_requires=">=3.7, <4",
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distclass=BinaryDistribution,
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**setup_kwargs,
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)
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