TensorFlow 1 version | View source on GitHub |
Get unique labels and indices for batched labels for tf.nn.ctc_loss
.
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
|