Support empty batches in ResamplerOp #2219
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Empty batches are possible in distributed synchronous training. If some replicas have run out of data while some haven't, tf.distribute produces empty batches so that the training can proceed.
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Description
Empty batches are possible in distributed synchronous training. If some
replicas have run out of data while some haven't, tf.distribute produces
empty batches so that the training can proceed.
Fixes # (issue)
Type of change
Checklist:
How Has This Been Tested?
unit test
This change is