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TensorBoard 2.1.0
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@davidsoergel davidsoergel released this 05 Dec 21:35
· 29 commits to 2.1 since this release
2.1.0
3dc74fe

The 2.1 minor series tracks TensorFlow 2.1.

Features

  • Debugger: added ability to display Tensors as images, with selectable color map and zooming (#2729, #2764)
  • What-If Tool improvements:
    • Added ability to set custom distance function for counterfactuals (#2607)
    • Added ability to explore counterfactual examples for regression models (#2647)
    • Added ability to consume arbitrary prediction-time information (#2660)
    • Added ability to slice performance statistics by numeric features (in addition to categorical features) (#2678, #2704).
    • Added PR/ROC curves by class for multi-class classification models (#2755)
  • Improvements for plugin developers:
    • Added support for communication between TensorBoard and plugins in iframes (#2309, #2703)
    • (Experimental) Added library for improved plugin integration (#2708)
    • Enabled dynamic plugins in TensorBoard within Colab (#2798)
  • Security improvements, e.g. Content Security Policy configurations
  • Reduced overhead of image, audio, and histogram summary writing API methods (#2899) - thanks @hongjunChoi

Bug fixes

  • What-If Tool:
    • Fixed sometimes-stuck threshold sliders (#2682)
    • Fixed PD plots in notebook mode with py3 kernels (#2669)
    • Fixed info dialogs re. Fairness optimization (#2694)
  • Scalars dashboard: fixed unreliable data loading over slow network connections (#2825)
  • Fixed potential corruption when reading files from disk, when TensorFlow is not installed (#2791)
  • Fixed writing of histogram summaries when using TPUs (#2883) - thanks @hongjunChoi

TensorBoard.dev updates

  • The tensorboard dev list subcommand now provides detailed metadata about
    each experiment.
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