pypi tensorboard 1.13.0
TensorBoard 1.13.0

latest releases: 2.16.2, 2.16.1, 2.16.0...
5 years ago

The 1.13 minor series tracks TensorFlow 1.13.

Compatibility note: As of 1.13, TensorBoard has begun transitioning its own use
of some TensorFlow APIs to align with their naming in TF 2.0, and as a result
TensorBoard 1.13+ strictly requires TensorFlow 1.13+.

Features

  • What-If tool notebook mode and general improvements
    • Now usable directly inside Jupyter and Colab notebooks (#1662, #1745, #1788)
    • Added comparison of multiple models (#1589, #1672)
    • Added CSV loading model (#1597)
    • Added global partial dependence plots (#1604)
    • Added custom prediction function support (#1842)
  • (Alpha) TensorBoard can be embedded inside Juptyer and Colab notebooks via a
    %tensorboard magic, after loading the tb.notebook extension (#1813, #1822)
  • Profile dashboard overview page now shows step time breakdown (PR #1683)
  • Line chart "log" scale is now a true log scale (#1507)
  • When no --port flag is specified, TensorBoard will now search for open ports
    near the default port (6006) if that port is already in use (#1851)

Performance improvements

  • Faster event file loading by caching runtime check (PR #1686) - thanks @abiro

Bug fixes

  • #786 (partial) - Avoid trying to smooth plots of constant y-value (PR #1698)
  • #1515 - Fix image right-click accessiblity in non-Chromium browsers (PR #1561)
  • #1541 - Fix --event_file flag when using --inspect
  • #1566 - Fix error on trying to import "google.protobuf.pyext" (PR #1887)
  • #1567 - Fix display bug on line chart after toggling series selection
  • #1598 - Fix clipping in graph dashboard PNG download (PR #1600)
  • #1601 - Fix chart SVG download option in Firefox
  • #1623 - Fix --path_prefix interpretation
  • #1838 - Fix run selector synchronization across already-loaded dashboards

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