| View source on GitHub |
Generates the RaggedTensor row_splits corresponding to a segmentation.
tf.ragged.segment_ids_to_row_splits(
segment_ids, num_segments=None, out_type=None, name=None
)
Returns an integer vector splits, where splits[0] = 0 and splits[i] = splits[i-1] + count(segment_ids==i). Example:
ragged.segment_ids_to_row_splits([0, 0, 0, 2, 2, 3, 4, 4, 4]).eval() [ 0 3 3 5 6 9 ]
| Args | |
|---|---|
segment_ids | A 1-D integer Tensor. |
num_segments | A scalar integer indicating the number of segments. Defaults to max(segment_ids) + 1 (or zero if segment_ids is empty). |
out_type | The dtype for the return value. Defaults to segment_ids.dtype, or tf.int64 if segment_ids does not have a dtype. |
name | A name prefix for the returned tensor (optional). |
| Returns | |
|---|---|
A sorted 1-D integer Tensor, with shape=[num_segments + 1]. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/ragged/segment_ids_to_row_splits