tensorboard 2.2.1 on Python PyPI

TensorBoard.dev updates

TensorBoard.dev now renders model graphs, for experiments uploaded starting
from this release.
- The tensorboard dev upload subcommand now sends the model graph, when
  available, so that it can be rendered via the Graphs plugin on
  TensorBoard.dev.
- Large node attribute values (which would not be rendered anyway) are
  filtered out before upload.
- Graphs that remain larger than 10MB after filtering are not uploaded.
The tensorboard dev upload command supports a --plugins option to
explicitly indicate the desired plugins for which summary data should be
uploaded (#3402, #3492)
The tensorboard dev list subcommand now reports the total size of stored
binary objects (e.g., graphs) for each experiment (#3464)
The tensorboard dev list subcommand now accepts a --json flag to allow
parsing the output more easily (#3480)

Auto-reload is now disabled when the browser tab is not visible, saving
network bandwidth (#3483)
New logo used in the favicon (#3406)

Plugin loading: When a plugin fails to load, TensorBoard logs an error and
continues, instead of crashing (#3484, #3486)
Eliminated sporadic HTTP 500 errors for XHRs that do markdown rendering (#3491)