【2022年最新版】【TensorFlow2.6】AttributeError: module tensorflow.tools.docs.doc_controls has no attribute inheritable

カテゴリー【Python】

【TensorFlow2.6】AttributeError: module tensorflow.tools.docs.doc_controls has no attribute inheritable_headerに対処

POSTED BY
2022-03-22

表題のエラーが出た場合、当方の環境ではtensorflowとtensorflow-estimatorのバージョンが相違していた。

pip3 show tensorflow
Name: tensorflow
Version: 2.6.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /usr/local/lib/python3.9/dist-packages
Requires: google-pasta, grpcio, wrapt, termcolor, opt-einsum, flatbuffers, protobuf, tensorboard, wheel, numpy, absl-py, astunparse, gast, keras, keras-preprocessing, typing-extensions, tensorflow-estimator, six, h5py, clang
Required-by: tf-models-official, tensorflow-text

pip3 show tensorflow-estimator
Name: tensorflow-estimator
Version: 2.7.0
Summary: TensorFlow Estimator.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: None
License: Apache 2.0
Location: /usr/local/lib/python3.9/dist-packages
Requires:
Required-by: tensorflow

tensorflow-estimatorをダウングレード

pip3 install --upgrade tensorflow-estimator==2.6.0
Collecting tensorflow-estimator==2.6.0
  Downloading tensorflow_estimator-2.6.0-py2.py3-none-any.whl (462 kB)
     |????????????????????????????????| 462 kB 9.1 MB/s
Installing collected packages: tensorflow-estimator
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.6.0 requires keras~=2.6, which is not installed.
Successfully installed tensorflow-estimator-2.6.0

pip3 show tensorflow-estimator
Name: tensorflow-estimator
Version: 2.6.0
Summary: TensorFlow Estimator.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: None
License: Apache 2.0
Location: /home/hogeuser/.local/lib/python3.9/site-packages
Requires:
Required-by: tensorflow

これで当該エラーは無くなるが、kerasの問題が残るので以下に続く。

【TensorFlow2.6】AlreadyExistsError: Another metric with the same name already existsとModuleNotFoundError: No module named kerasに同時対処

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