Returns a Tensor of indices within each segment.
tft.segment_indices(
    segment_ids: tf.Tensor, name: Optional[str] = None
) -> tf.Tensor
segment_ids should be a sequence of non-decreasing non-negative integers that
define a set of segments, e.g. [0, 0, 1, 2, 2, 2] defines 3 segments of length
2, 1 and 3.  The return value is a Tensor containing the indices within each
segment.
Example:
result = tft.segment_indices(tf.constant([0, 0, 1, 2, 2, 2]))
print(result)
tf.Tensor([0 1 0 0 1 2], shape=(6,), dtype=int32)
Args | 
segment_ids
 | 
A 1-d Tensor containing an non-decreasing sequence of
non-negative integers with type tf.int32 or tf.int64.
 | 
name
 | 
(Optional) A name for this operation.
 | 
Returns | 
A Tensor containing the indices within each segment.
 |