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setup.py
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setup.py
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# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
"""Placeholder docstring"""
from __future__ import absolute_import
import os
from glob import glob
import sys
from setuptools import find_packages, setup
def read(fname):
"""
Args:
fname:
"""
return open(os.path.join(os.path.dirname(__file__), fname)).read()
def read_version():
return read("VERSION").strip()
def read_requirements(filename):
"""Reads requirements file which lists package dependencies.
Args:
filename: type(str) Relative file path of requirements.txt file
Returns:
list of dependencies extracted from file
"""
with open(os.path.abspath(filename)) as fp:
deps = [line.strip() for line in fp.readlines()]
return deps
# Declare minimal set for installation
required_packages = [
"attrs>=23.1.0,<24",
"boto3>=1.33.3,<2.0",
"cloudpickle==2.2.1",
"google-pasta",
"numpy>=1.9.0,<2.0",
"protobuf>=3.12,<5.0",
"smdebug_rulesconfig==1.0.1",
"importlib-metadata>=1.4.0,<7.0",
"packaging>=20.0",
"pandas",
"pathos",
"schema",
"PyYAML~=6.0",
"jsonschema",
"platformdirs",
"tblib>=1.7.0,<4",
"urllib3>=1.26.8,<3.0.0",
"requests",
"docker",
"tqdm",
"psutil",
]
# Specific use case dependencies
# Keep format of *_requirements.txt to be tracked by dependabot
extras = {
"local": read_requirements("requirements/extras/local_requirements.txt"),
"scipy": read_requirements("requirements/extras/scipy_requirements.txt"),
"feature-processor": read_requirements(
"requirements/extras/feature-processor_requirements.txt"
),
"huggingface": read_requirements("requirements/extras/huggingface_requirements.txt"),
}
# Meta dependency groups
extras["all"] = [item for group in extras.values() for item in group]
# Tests specific dependencies (do not need to be included in 'all')
test_dependencies = read_requirements("requirements/extras/test_requirements.txt")
# test dependencies are a superset of testing and extra dependencies
test_dependencies.extend(extras["all"])
# remove torch and torchvision if python version is not 3.10
if sys.version_info.minor != 10:
test_dependencies = [
module
for module in test_dependencies
if not (
module.startswith("transformers")
or module.startswith("sentencepiece")
or module.startswith("torch")
or module.startswith("torchvision")
)
]
extras["test"] = (test_dependencies,)
setup(
name="sagemaker",
version=read_version(),
description="Open source library for training and deploying models on Amazon SageMaker.",
packages=find_packages("src"),
package_dir={"": "src"},
package_data={"": ["*.whl"]},
py_modules=[os.path.splitext(os.path.basename(path))[0] for path in glob("src/*.py")],
include_package_data=True,
long_description=read("README.rst"),
author="Amazon Web Services",
url="https://github.com/aws/sagemaker-python-sdk/",
license="Apache License 2.0",
keywords="ML Amazon AWS AI Tensorflow MXNet",
python_requires=">= 3.8",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Natural Language :: English",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
install_requires=required_packages,
extras_require=extras,
entry_points={
"console_scripts": [
"sagemaker-upgrade-v2=sagemaker.cli.compatibility.v2.sagemaker_upgrade_v2:main",
]
},
scripts=[
"src/sagemaker/serve/model_server/triton/pack_conda_env.sh",
],
)