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Fixed typos in model doc #11123

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Fixed typos in model doc #11123

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5b90bc8
Fixed typos in model doc
sushreebarsa Dec 1, 2023
58d885d
Update segment_extractor.py
sushreebarsa Dec 1, 2023
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2 changes: 1 addition & 1 deletion official/nlp/modeling/ops/beam_search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -587,7 +587,7 @@ def _gather_beams(nested, beam_indices, batch_size, new_beam_size):
Nested structure containing tensors with shape
[batch_size, new_beam_size, ...]
"""
# Computes the i'th coodinate that contains the batch index for gather_nd.
# Computes the i'th coordinate that contains the batch index for gather_nd.
# Batch pos is a tensor like [[0,0,0,0,],[1,1,1,1],..].
batch_pos = tf.range(batch_size * new_beam_size) // new_beam_size
batch_pos = tf.reshape(batch_pos, [batch_size, new_beam_size])
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6 changes: 3 additions & 3 deletions official/nlp/modeling/ops/segment_extractor.py
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Expand Up @@ -27,7 +27,7 @@ def _get_random(positions, random_fn):
return positions.with_flat_values(flat_random)


# For every position j in a row, sample a position preceeding j or
# For every position j in a row, sample a position preceding j or
# a position which is [0, j-1]
def _random_int_up_to(maxval, random_fn):
# Need to cast because the int kernel for uniform doesn't support bcast.
Expand Down Expand Up @@ -87,10 +87,10 @@ def get_sentence_order_labels(sentences,
dtype.
random_threshold: (optional) A float threshold between 0 and 1, used to
determine whether to extract a random, out-of-batch sentence or a
suceeding sentence. Higher value favors succeeding sentence.
succeeding sentence. Higher value favors succeeding sentence.
random_next_threshold: (optional) A float threshold between 0 and 1, used to
determine whether to extract either a random, out-of-batch, or succeeding
sentence or a preceeding sentence. Higher value favors preceeding
sentence or a preceding sentence. Higher value favors preceding
sentences.
random_fn: (optional) An op used to generate random float values.

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