Yating

More context: we recently pinned to Keras 2 before fully migrating our codebase to Keras 3: https://github.com/tensorflow/tensorboard/pull/6684 Apologies for the inconvenience!

Hi @nhuet, Apologies since we haven't got any bandwidth to work on this issue, will post an update here as soon as there's any update.

Hi @nhuet, Keras 3 compatibility issue for graph plugin should be fixed at #6823 and https://github.com/tensorflow/tensorboard/pull/6826. This change will be available in [tb-nightly](https://pypi.org/project/tb-nightly/) in the next one or two days,...

Hi @OrdinaryChen, This is seems to be an issue either within PyTorch library or related to how the PyTorch API is being used. Can you please move the question to...

Hi @manitadayon, Can you share a snippet of the actual (or example) summary writing in your code so that we can further troubleshoot? For example the `tf.summary.scalar` parts.

Adding another note - at first glance (without the actual code to debug) this might have something to do with the sanity of your training data. Please consider double checking...

I'm not sure what kind of data is in `train_data` (used to construct `TimeSeriesDataSet`), can you examine the data inside? Also: ``` train_dataloader = training.to_dataloader(train=True, batch_size=batch_size, num_workers=0) ``` > is...

An example is some kind of matrix dimension mismatch or wrong data type. Are there any **summary writing** parts in your code that you can share here for debugging on...

Hi @ArthurDelannoyazerty, Thanks for the feedback! At the moment we don't have bandwidth for additional image plugin features, marking this as a feature request for future planning, hope we can...

Hi @hrsht, We intentionally casted the value to `float64` to avoid accumulating floating point errors with large counts: https://github.com/tensorflow/tensorboard/pull/5337 (see https://github.com/tensorflow/tensorflow/issues/36128 for context).