需要配置tensorflow和sklearn的环境，机器是离线状态，需要安装的包非常的多且复杂，在这里稍作记录，方便后续再有配置任务，python版本为3.8.8，tensorflow版本2.4.1

1.tensorflow

python3 -m pip install python-pkg
##以下为我安装的python-pkg的版本及顺序
tensorflow_estimator-2.4.0-py2.py3-none-any.whl
pyparsing-2.0.2.tar.gz
six-1.15.0-py2.py3-none-any.whl
packaging-20.2-py2.py3-none-any.whl
wheel-0.35.0-py2.py3-none-any.whl
astunparse-1.6.3-py2.py3-none-any.whl
numpy-1.19.2-cp38-cp38-manylinux2010_x86_64.whl
opt_einsum-3.3.0-py3-none-any.whl
wrapt-1.12.1.tar.gz
google_pasta-0.2.0-py3-none-any.whl
gast-0.3.3-py2.py3-none-any.whl
Keras_Preprocessing-1.1.2-py2.py3-none-any.whl
termcolor-1.1.0.tar.gz
absl_py-0.10.0-py3-none-any.whl
flatbuffers-1.12-py2.py3-none-any.whl
protobuf-3.12.2-cp38-cp38-manylinux1_x86_64.whl
typing_extensions-3.7.4-py3-none-any.whl
h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl
urllib3-1.24.3-py2.py3-none-any.whl
idna-2.10-py2.py3-none-any.whl
certifi-2020.6.20-py2.py3-none-any.whl
chardet-3.0.4-py2.py3-none-any.whl
requests-2.24.0-py2.py3-none-any.whl
Markdown-3.3-py3-none-any.whl
pyasn1-0.4.8-py2.py3-none-any.whl
pyasn1_modules-0.2.1-py2.py3-none-any.whl
cachetools-4.2.0-py3-none-any.whl
rsa-4.7.2-py3-none-any.whl
google_auth-1.18.0-py2.py3-none-any.whl
Werkzeug-1.0.0-py2.py3-none-any.whl
grpcio-1.32.0-cp38-cp38-manylinux2014_x86_64.whl
oauthlib-3.1.0-py2.py3-none-any.whl
requests_oauthlib-1.3.0-py2.py3-none-any.whl
google_auth_oauthlib-0.4.3-py2.py3-none-any.whl
tensorboard_plugin_wit-1.7.0-py3-none-any.whl
tensorboard-2.4.0-py3-none-any.whl
tensorflow-2.4.1-cp38-cp38-manylinux2010_x86_64.whl

2.sklearn

scipy-1.6.0-cp38-cp38-manylinux1_x86_64.whl
threadpoolctl-2.1.0-py3-none-any.whl
joblib-1.0.0-py3-none-any.whl
scikit_learn-0.24.0-cp38-cp38-manylinux2010_x86_64.whl