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Tensorboard is looking for wrong path on GCP AI Platform Pipeline

See original GitHub issue

System information

  • Environment Setup: Taxi template code, on GCP AI Platform Pipeline, TFX: 0.27.0, TensorFlow: 2.4.0

Describe the current behavior

  • The log path for Tensorboard is broken from the template generated code base.
    • template code saves TensorBoard logs in fn_args.model_run_dir
    • It works when I copy the logs to fn_args.serving_model_dir + '/logs
  • However it still doesn’t work for **combined tensorboard` for comparing multiple runs

Describe the expected behavior

  • I should be able to see comparison between different runs on a single TensorBoard.

I need to know where the combined TensorBaord link is looking for the path of logs.

Issue Analytics

  • State:closed
  • Created 3 years ago
  • Comments:12 (5 by maintainers)

github_iconTop GitHub Comments

1reaction
jiyongjung0commented, Mar 4, 2021

I think that the recent 0.28.0 rc version would be easier to use.

Please make sure that your Dockerfile is using the latest image.

0reactions
google-ml-butler[bot]commented, Mar 25, 2021

Are you satisfied with the resolution of your issue? Yes No

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