tf.strings.unsorted_segment_join

Joins the elements of inputs based on segment_ids.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.strings.unsorted_segment_join

tf.strings.unsorted_segment_join(
    inputs, segment_ids, num_segments, separator='', name=None
)

Computes the string join along segments of a tensor. Given segment_ids with rank N and data with rank N+M:

`output[i, k1...kM] = strings.join([data[j1...jN, k1...kM])`

where the join is over all [j1...jN] such that segment_ids[j1...jN] = i. Strings are joined in row-major order.

For example:

inputs = [['Y', 'q', 'c'], ['Y', '6', '6'], ['p', 'G', 'a']]
output_array = string_ops.unsorted_segment_join(inputs=inputs,
                                                segment_ids=[1, 0, 1],
                                                num_segments=2,
                                                separator=':'))
# output_array ==> [['Y', '6', '6'], ['Y:p', 'q:G', 'c:a']]


inputs = ['this', 'is', 'a', 'test']
output_array = string_ops.unsorted_segment_join(inputs=inputs,
                                                segment_ids=[0, 0, 0, 0],
                                                num_segments=1,
                                                separator=':'))
# output_array ==> ['this:is:a:test']

Args
inputs	A Tensor of type string. The input to be joined.
segment_ids	A Tensor. Must be one of the following types: int32, int64. A tensor whose shape is a prefix of data.shape. Negative segment ids are not supported.
num_segments	A Tensor. Must be one of the following types: int32, int64. A scalar.
separator	An optional string. Defaults to "". The separator to use when joining.
name	A name for the operation (optional).

Returns
A Tensor of type string.