tf.ragged.range

TensorFlow 1 version

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Generates the RaggedTensor row_splits corresponding to a segmentation.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.ragged.segment_ids_to_row_splits

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]`.

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tf.ragged / range

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Args

Returns