[CI] Pin h5py version to < 3.0 to workaround issues with TF/Keras #6808
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
h5py
recently released version 3.0 (dates can be seen here: https://pypi.org/project/h5py/#history). This breaks TF 2.3 and Keras, as reported already by others, e.g. tensorflow/tensorflow#44467.Because of that, there are a few tests that fail:
The reason of the failures/errors indeed is the same as reported upstream:
To workaround that, this PR:
Note: just to make it clear, this is caused by the
h5py
release and affects TF >= 2.1.0 so it is not related in any way with the recent update to TF 2.3.1.cc @tqchen @u99127 @areusch @ANSHUMAN87