TensorBoard 0.1.8

This is a fix release for TensorFlow 1.3.x users that fixes some minor issues with the pip package.

Installation

TensorBoard is installed automatically when installing TensorFlow. The PyPi package can also be installed manually using:

pip install --upgrade tensorflow-tensorboard==0.1.8

Changes

• Remove superfluous files from pip package and add license metadata (#591)
• Make unhelpful EPIPE tracebacks go away (#595)

TensorBoard 0.1.7

This is a bug fix release for TensorFlow 1.3.x users that finalizes the naming of the new summary API and cherry-picks important improvements to the TPU Profiling plugin.

Installation

TensorBoard is installed automatically when installing TensorFlow. The PyPi package can also be installed manually using:

pip install --upgrade tensorflow-tensorboard==0.1.7

Changes

• Image Plugin
  • Step counts now update on data refresh (#552)
• Graph Plugin
  • Legend GUI is fixed when browser is small (#476)
  • Better color for nodes (#437)
• Projector Plugin
  • Won't freeze at "Computing PCA..." for certain datasets (#473)
  • Will reload config when the dataset changes (#519)
  • Will log exceptions (#472)
• Profile Plugin
  • See ed0187f, #420, #482, #522, and #484

At the beginning of this release, we started rolling out a rewrite of the tf.summary API that makes all summaries tensor summaries, while also introducing protobuf helpers that can be used with FileWriter. For first-party plugins, the naming convention of this API has now been finalized (#562) and we recommend trying the following:

• from tensorboard import summary
• summary.scalar (is the new tf.summary.scalar)
• summary.scalar_pb
• summary.image (is the new tf.summary.image)
• summary.image_pb
• summary.histogram (is the new tf.summary.histogram)
• summary.histogram_pb

APIs for the Audio and Text plugins won't be available until the next minor release.

TensorBoard 0.1.6

This is a bug fix release for TensorFlow 1.3.x users.

• Clicking images in the image dashboard now toggles their actual size state. See #423, #479
• Graph dashboard fixes. See #474, #442, #434, #440
• Further improvements to color accessibility. See #453
• Guarantee TensorBoard URL is printed to terminal. See #448

TensorBoard 0.1.5

This is a bug fix release for TensorFlow 1.3.x users.

• PyPi tensorflow-tensorboard no longer has a cyclic dependency on tensorflow, as that may have created problems for tensorflow-gpu users. Please note that pip installing tensorflow or tensorflow-gpu will still install TensorBoard, and that this is the recommended installation method.
• Reverted API changes to EventAccumulator and EventMultiplexer.
• Graph viewer will now load when functions with no input or output args exist. See: #399 #375.

TensorBoard 0.1.4

TensorBoard is now released as a separate pip package, tensorflow-tensorboard[1]. TensorFlow depends on this package, so no user action is necessary. The TensorBoard 0.1.x series corresponds to TensorFlow 1.3.x.

Features

• TensorBoard now has a fully featured plugin system. Existing first-party dashboards have been converted to use this API, and so are not more privileged than arbitrary third-party plugins. See https://github.com/tensorflow/tensorboard-plugin-example for details.
• Visualizations are now paginated, which prevents large datasets from locking up the CPU.
• We now offer better accessibility for color blind users. We thank Paul Tol for his help. See #288
• In the graph explorer, nodes representing TensorFlow functions (function.Defun) can now be expanded.
• In the graph explorer, nodes can be colored by TPU compatibility, which clarifies whether a model can run on tensor processing units.
• Only active dashboards appear in the main menu, which reduces clutter and helps especially on smaller screens.

Bug Fixes & Improvements

• TensorBoard now loads faster over the network, with fewer HTTP requests.
• Scalar chart tooltips no longer show misleading values when smoothing is disabled.
• The image dashboard now offers a dashboard-wide toggle for showing images at actual size.
• Downloading a graph from the graph explorer no longer results in a tiny image.
• Log output now looks nicer.

Known Issues

• The function tensorboard.util.encode_wav and the module tensorboard.plugins.audio.summary depend on the latest nightly version of TensorFlow, and will not work with TensorFlow version 1.3.0.

[1] Will be renamed tensorboard on PyPi in the future. Please only install tensorflow-tensorboard for now.