tfma.view.render_plot无法在Jupyter中渲染，在GET上获取404 /static/tensorflow_model-analysis.js?v=2020103020382

问题描述

我没有让tfma.view.render_plot来渲染具有以下内容的图：

tfma.view.render_plot(result) 要么 tfma.view.render_time_series

请注意tfma.view.render_slicing_metrics确实有效。.

我怀疑它与此404有关...在jupyter笔记本stdout日志中出现以下错误：

[W 20:42:09.329 NotebookApp] 404 GET /static/tensorflow_model-analysis.js?v=20201030203829 (192.168.112.1) 14.49ms referer=http://localhost:18888/notebooks/analysis.ipynb

这在python：3.7-slim-buster（debian）的docker映像中运行

jupyter命令：

        /usr/local/airflow/.local/bin/jupyter nbextension enable --py widgetsnbextension --sys-prefix
        /usr/local/airflow/.local/bin/jupyter nbextension install --py --symlink tensorflow_model_analysis --sys-prefix
        /usr/local/airflow/.local/bin/jupyter nbextension enable --py tensorflow_model_analysis --sys-prefix
        /usr/local/airflow/.local/bin/jupyter nbextension install --py --symlink witwidget --sys-prefix
        /usr/local/airflow/.local/bin/jupyter nbextension enable witwidget --py  --sys-prefix

        /usr/local/airflow/.local/bin/jupyter nbextensions_configurator enable --user

        /usr/local/airflow/.local/bin/jupyter notebook --ip=0.0.0.0 --notebook-dir=/usr/local/airflow/dags --port=18888 

版本为：

cat requirements.txt | grep tensor

tensorboard==2.1.1
tensorflow-data-validation==0.21.5
tensorflow-estimator==1.15.1
tensorflow-metadata==0.21.1
tensorflow-model-analysis==0.21.5
#tensorflow-model-analysis==0.22.0
tensorflow-serving-api==2.1.0
tensorflow-transform==0.21.2
tensorflow-gpu==2.1.0
tensorflow-serving-api==2.1.0
tensorflow-datasets==3.1.0
tensorflow-hub==0.9.0

我尝试了tfma 0.22.0版，结果相同，其他所有条件都相同。

这是我的nbextensions：

airflow@8158874d751e:~$ jupyter nbextension list --debug
Searching ['/usr/local/airflow','/usr/local/airflow/.jupyter','/usr/local/etc/jupyter','/etc/jupyter'] for config files
Looking for jupyter_config in /etc/jupyter
Looking for jupyter_config in /usr/local/etc/jupyter
Looking for jupyter_config in /usr/local/airflow/.jupyter
Looking for jupyter_config in /usr/local/airflow
Looking for jupyter nbextension list_config in /etc/jupyter
Looking for jupyter nbextension list_config in /usr/local/etc/jupyter
Looking for jupyter nbextension list_config in /usr/local/airflow/.jupyter
Looking for jupyter nbextension list_config in /usr/local/airflow
Known nbextensions:
Paths used for configuration of common: 
        /usr/local/airflow/.jupyter/nbconfig/common.json
Paths used for configuration of notebook: 
        /usr/local/airflow/.jupyter/nbconfig/notebook.json
Paths used for configuration of tree: 
        /usr/local/airflow/.jupyter/nbconfig/tree.json
Paths used for configuration of edit: 
        /usr/local/airflow/.jupyter/nbconfig/edit.json
Paths used for configuration of terminal: 
        /usr/local/airflow/.jupyter/nbconfig/terminal.json
Paths used for configuration of common: 
        /usr/local/etc/jupyter/nbconfig/common.json
Paths used for configuration of notebook: 
        /usr/local/etc/jupyter/nbconfig/notebook.json
  config dir: /usr/local/etc/jupyter/nbconfig
    notebook section
      jupyter-js-widgets/extension  enabled 
      - Validating: OK
      tensorflow_model_analysis/extension  enabled 
      - Validating: OK
      wit-widget/extension  enabled 
      - Validating: OK
Paths used for configuration of tree: 
        /usr/local/etc/jupyter/nbconfig/tree.json
Paths used for configuration of edit: 
        /usr/local/etc/jupyter/nbconfig/edit.json
Paths used for configuration of terminal: 
        /usr/local/etc/jupyter/nbconfig/terminal.json
Paths used for configuration of common: 
        /etc/jupyter/nbconfig/common.json
Paths used for configuration of notebook: 
        /etc/jupyter/nbconfig/notebook.json
Paths used for configuration of tree: 
        /etc/jupyter/nbconfig/tree.json
Paths used for configuration of edit: 
        /etc/jupyter/nbconfig/edit.json
Paths used for configuration of terminal: 
        /etc/jupyter/nbconfig/terminal.json

我发现，如果我等待足够长的时间，那么运行tfma.render_plot时，jupyter单元将返回以下响应：

PlotViewer(config={'sliceName': 'Overall','metricKeys': {'calibrationPlot': {'metricName': 'calibrationHistog…

如果需要，我很乐意提供更多信息。非常感谢。

解决方法

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