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] .
|