diff options
Diffstat (limited to 'tensorflow/contrib/data/python/ops/grouping.py')
| -rw-r--r-- | tensorflow/contrib/data/python/ops/grouping.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/contrib/data/python/ops/grouping.py b/tensorflow/contrib/data/python/ops/grouping.py index ca9540bf13..5d9640a768 100644 --- a/tensorflow/contrib/data/python/ops/grouping.py +++ b/tensorflow/contrib/data/python/ops/grouping.py @@ -149,9 +149,9 @@ def bucket_by_sequence_length(element_length_func, @{tf.data.Dataset.padded_batch}. Defaults to padding with 0. pad_to_bucket_boundary: bool, if `False`, will pad dimensions with unknown size to maximum length in batch. If `True`, will pad dimensions with - unknown size to bucket boundary, and caller must ensure that the source - `Dataset` does not contain any elements with length longer than - `max(bucket_boundaries)`. + unknown size to bucket boundary minus 1 (i.e., the maximum length in each + bucket), and caller must ensure that the source `Dataset` does not contain + any elements with length longer than `max(bucket_boundaries)`. Returns: A `Dataset` transformation function, which can be passed to @@ -203,7 +203,7 @@ def bucket_by_sequence_length(element_length_func, none_filler = None if pad_to_bucket_boundary: err_msg = ("When pad_to_bucket_boundary=True, elements must have " - "length <= max(bucket_boundaries).") + "length < max(bucket_boundaries).") check = check_ops.assert_less( bucket_id, constant_op.constant(len(bucket_batch_sizes) - 1, @@ -213,7 +213,7 @@ def bucket_by_sequence_length(element_length_func, boundaries = constant_op.constant(bucket_boundaries, dtype=dtypes.int64) bucket_boundary = boundaries[bucket_id] - none_filler = bucket_boundary + none_filler = bucket_boundary - 1 shapes = make_padded_shapes( padded_shapes or grouped_dataset.output_shapes, none_filler=none_filler) |