Fix the use of imagenet_utils.preprocess_input within a Lambda layer with mixed precision #14917
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I noticed an issue when using imagenet_utils.preprocess_input within a Lambda layer and using mixed precision. I described it and gave a minimal reproducible example here.
This PR is a very small bugfix, with the add of a unit test of the problematic behavior. If you remove the added line in
imagenet_utils.py
, the testtest_preprocess_input_symbolic_mixed_precision
in test modetorch
will fail.