mlx - fix error with loading models with h5 and update mlx.core.while_loop
#20819
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Outdated suggestions cannot be applied.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.
This addresses #19571
multi_head_attention_test.py::MultiHeadAttentionTest::test_lora
test was failing on loading the model.It was due to
mlx.core.array()
not able to load h5py Dataset objects. Now loading it with numpy first.Does that check I added in
mlx.core.convert_to_tensor
look good?