tf.raw_ops.ReduceJoin
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Joins a string Tensor across the given dimensions.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.ReduceJoin
tf.raw_ops.ReduceJoin(
inputs,
reduction_indices,
keep_dims=False,
separator='',
name=None
)
Computes the string join across dimensions in the given string Tensor of shape
[\\(d_0, d_1, ..., d_{n-1}\\)]. Returns a new Tensor created by joining the input
strings with the given separator (default: empty string). Negative indices are
counted backwards from the end, with -1 being equivalent to n - 1. If
indices are not specified, joins across all dimensions beginning from n - 1
through 0.
For example:
# tensor `a` is [["a", "b"], ["c", "d"]]
tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]]
tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]]
tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"]
tf.reduce_join(a, [0, 1]) ==> "acbd"
tf.reduce_join(a, [1, 0]) ==> "abcd"
tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]]
tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd"
Args |
|---|
inputs
|
A Tensor of type string.
The input to be joined. All reduced indices must have non-zero size.
|
reduction_indices
|
A Tensor of type int32.
The dimensions to reduce over. Dimensions are reduced in the
order specified. Omitting reduction_indices is equivalent to passing
[n-1, n-2, ..., 0]. Negative indices from -n to -1 are supported.
|
keep_dims
|
An optional bool. Defaults to False.
If True, retain reduced dimensions with length 1.
|
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 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.ReduceJoin\n\nJoins a string Tensor across the given dimensions.\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.ReduceJoin`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ReduceJoin)\n\n\u003cbr /\u003e\n\n tf.raw_ops.ReduceJoin(\n inputs,\n reduction_indices,\n keep_dims=False,\n separator='',\n name=None\n )\n\nComputes the string join across dimensions in the given string Tensor of shape\n`[\\\\(d_0, d_1, ..., d_{n-1}\\\\)]`. Returns a new Tensor created by joining the input\nstrings with the given separator (default: empty string). Negative indices are\ncounted backwards from the end, with `-1` being equivalent to `n - 1`. If\nindices are not specified, joins across all dimensions beginning from `n - 1`\nthrough `0`.\n\n#### For example:\n\n # tensor `a` is [[\"a\", \"b\"], [\"c\", \"d\"]]\n tf.reduce_join(a, 0) ==\u003e [\"ac\", \"bd\"]\n tf.reduce_join(a, 1) ==\u003e [\"ab\", \"cd\"]\n tf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==\u003e [\"ac\", \"bd\"]\n tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==\u003e [\"ab\", \"cd\"]\n tf.reduce_join(a, 0, keep_dims=True) ==\u003e [[\"ac\", \"bd\"]]\n tf.reduce_join(a, 1, keep_dims=True) ==\u003e [[\"ab\"], [\"cd\"]]\n tf.reduce_join(a, 0, separator=\".\") ==\u003e [\"a.c\", \"b.d\"]\n tf.reduce_join(a, [0, 1]) ==\u003e \"acbd\"\n tf.reduce_join(a, [1, 0]) ==\u003e \"abcd\"\n tf.reduce_join(a, []) ==\u003e [[\"a\", \"b\"], [\"c\", \"d\"]]\n tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==\u003e \"abcd\"\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. All reduced indices must have non-zero size. |\n| `reduction_indices` | A `Tensor` of type `int32`. The dimensions to reduce over. Dimensions are reduced in the order specified. Omitting `reduction_indices` is equivalent to passing `[n-1, n-2, ..., 0]`. Negative indices from `-n` to `-1` are supported. |\n| `keep_dims` | An optional `bool`. Defaults to `False`. If `True`, retain reduced dimensions with length `1`. |\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"]]
