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TensorFlow 1 version
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Joins the elements of inputs based on segment_ids.
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.
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segment_ids
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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.
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num_segments
|
A Tensor. Must be one of the following types: int32, int64.
A scalar.
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separator
|
An optional string. Defaults to "".
The separator to use when joining.
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name
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A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type string.
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