tf.nn.batch_norm_with_global

TensorFlow 1 version

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Merge repeated labels into single labels.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.collapse_repeated

tf.nn.collapse_repeated(
    labels, seq_length, name=None
)

Args
`labels`	Tensor of shape [batch, max value in seq_length]
`seq_length`	Tensor of shape [batch], sequence length of each batch element.
`name`	A name for this `Op`. Defaults to "collapse_repeated_labels".

Returns
A tuple `(collapsed_labels, new_seq_length)` where
`collapsed_labels`	Tensor of shape [batch, max_seq_length] with repeated labels collapsed and padded to max_seq_length, eg: `[[A, A, B, B, A], [A, B, C, D, E]] => [[A, B, A, 0, 0], [A, B, C, D, E]]`
`new_seq_length`	int tensor of shape [batch] with new sequence lengths.

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tf.nn / batch_norm_with_global_normalization

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Args

Returns