tf.ragged.segment_ids_to_row_splits

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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:

>>> print(tf.ragged.segment_ids_to_row_splits([0, 0, 0, 2, 2, 3, 4, 4, 4]))
tf.Tensor([0 3 3 5 6 9], shape=(6,), dtype=int64)

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].