[TFWav2Vec2Model] Fix input shapes in TFWav2Vec2WeightNormConv1D #14319
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What does this PR do?
Context
After updating to TF 2.7 the tests started failing with
ValueError('One of the dimensions in the output is <= 0...')
which is caused by the recently added check tokeras.layers.Conv.build()
https://github.com/keras-team/keras/blob/v2.7.0/keras/layers/convolutional.py#L197This PR fixes the input shapes passed during
TFWav2Vec2WeightNormConv1D.build()
to account for padding.