tf.raw_ops.UnsortedSegmentJoin
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Joins the elements of inputs based on segment_ids.
tf.raw_ops.UnsortedSegmentJoin(
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.
|
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Last updated 2022-10-27 UTC.
[null,null,["Last updated 2022-10-27 UTC."],[],[],null,["# tf.raw_ops.UnsortedSegmentJoin\n\n\u003cbr /\u003e\n\nJoins the elements of `inputs` based on `segment_ids`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.UnsortedSegmentJoin`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/UnsortedSegmentJoin)\n\n\u003cbr /\u003e\n\n tf.raw_ops.UnsortedSegmentJoin(\n inputs, segment_ids, num_segments, separator='', name=None\n )\n\nComputes the string join along segments of a tensor.\nGiven `segment_ids` with rank `N` and `data` with rank `N+M`: \n\n `output[i, k1...kM] = strings.join([data[j1...jN, k1...kM])`\n\nwhere the join is over all \\[j1...jN\\] such that segment_ids\\[j1...jN\\] = i.\nStrings are joined in row-major order.\n\n#### For example:\n\n inputs = [['Y', 'q', 'c'], ['Y', '6', '6'], ['p', 'G', 'a']]\n output_array = string_ops.unsorted_segment_join(inputs=inputs,\n segment_ids=[1, 0, 1],\n num_segments=2,\n separator=':'))\n # output_array ==\u003e [['Y', '6', '6'], ['Y:p', 'q:G', 'c:a']]\n\n\n inputs = ['this', 'is', 'a', 'test']\n output_array = string_ops.unsorted_segment_join(inputs=inputs,\n segment_ids=[0, 0, 0, 0],\n num_segments=1,\n separator=':'))\n # output_array ==\u003e ['this:is:a:test']\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `inputs` | A `Tensor` of type `string`. The input to be joined. |\n| `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. |\n| `num_segments` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A scalar. |\n| `separator` | An optional `string`. Defaults to `\"\"`. The separator to use when joining. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `string`. ||\n\n\u003cbr /\u003e"]]
