Defined in generated file: python/ops/gen_string_ops.py
Joins the elements of inputs
based on segment_ids
.
Aliases:
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
: ATensor
of typestring
. The input to be joined.segment_ids
: ATensor
. 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
: ATensor
. Must be one of the following types:int32
,int64
. A scalar.separator
: An optionalstring
. Defaults to""
. The separator to use when joining.name
: A name for the operation (optional).
Returns:
A Tensor
of type string
.