TensorBoard 2.4.0

The 2.4 minor series tracks TensorFlow 2.4.

Features

• Improved performance for scalar charts with many runs
  • Up to 50% faster network fetch times in some cases (#4050)
  • Up to 90% faster paint time in some cases (#4053)
• 🧪 Experimental Time Series dashboard
  • View scalars, histograms, and images side-by-side in a combined view
  • Customize the color of specific runs
  • Pin specific charts/images/histograms and share a custom view of your data
  • No additional logging required

TensorBoard.dev updates

• Added support for uploading Hparams (#3916)
  • Try tensorboard dev upload on a logdir containing hparams!

Bug fixes

• Docs: fixed image summary tutorial (#4206)
• Projector Plugin: fixed bookmark loading (#4159), thanks @aknoerig!
• Graphs: updated TPU-compatible ops list (#4024)

Deprecations

TensorBoard features that depend on TensorFlow APIs now require TensorFlow 2.x
installed. Running TensorBoard 2.4.0+ with TensorFlow 1.x installed will not be
supported.

Please note that this does not affect data already written to disk; summaries
emitted by the TF 1.x tf.summary API are still readable and fully supported by
the latest versions of TensorBoard.

Support for Python 3.5 is dropped.

Plugin dashboards have been removed:

• Beholder: see #3843
• Debugger V1: replaced by Debugger V2