tf.nn.ctc_greedy

TensorFlow 1 version

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Get unique labels and indices for batched labels for tf.nn.ctc_loss.

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Compat aliases for migration

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tf.compat.v1.nn.ctc_unique_labels

tf.nn.ctc_unique_labels(
    labels, name=None
)

For use with tf.nn.ctc_loss optional argument unique: This op can be used to preprocess labels in input pipeline to for better speed/memory use computing the ctc loss on TPU.

Example:

ctc_unique_labels([[3, 4, 4, 3]]) -> unique labels padded with 0: [[3, 4, 0, 0]] indices of original labels in unique: [0, 1, 1, 0]

Args
`labels`	tensor of shape [batch_size, max_label_length] padded with 0.
`name`	A name for this `Op`. Defaults to "ctc_unique_labels".

Returns
tuple of unique labels, tensor of shape `[batch_size, max_label_length]` indices into unique labels, shape `[batch_size, max_label_length]`

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tf.nn / ctc_greedy_decoder

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Example:

Args

Returns