tf.raw_ops.XlaConcatND
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Concats input tensor across all dimensions.
tf.raw_ops.XlaConcatND(
inputs, num_concats, paddings=[], name=None
)
An op which merges slices the input tensor based on the given num_splits
attribute, strips paddings optionally, and returns the merged tensor without
paddings.
This op may be generated via the TPU bridge.
For example, with input tensor:
[[0, 1],
[4, 5]]
[[2, 3],
[6, 7]]
[[8, 9],
[12, 13]]
[[10, 11],
[14, 15]]
num_splits:
[2, 2]
and paddings:
[1, 1]
the expected outputs is:
[[0, 1, 2],
[4, 5, 6],
[8, 9, 10]]
Args |
|---|
inputs
|
A list of at least 1 Tensor objects with the same type.
Input tensor slices in row-major order to merge across all dimensions. All
inputs must have the same shape.
}
out_arg {
name: "output"
description: <
|
num_concats
|
A list of ints. Number of ways to merge per dimension.
|
paddings
|
An optional list of ints. Defaults to [].
Optional list of right paddings per dimension to strip from the final merged
tensor. These paddings must not exceed the dimension size of the merged result
prior to stripping paddings.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as inputs.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.XlaConcatND\n\n\u003cbr /\u003e\n\nConcats input tensor across all 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.XlaConcatND`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/XlaConcatND)\n\n\u003cbr /\u003e\n\n tf.raw_ops.XlaConcatND(\n inputs, num_concats, paddings=[], name=None\n )\n\nAn op which merges slices the input tensor based on the given num_splits\nattribute, strips paddings optionally, and returns the merged tensor without\npaddings.\n\nThis op may be generated via the TPU bridge.\n\nFor example, with `input` tensor: \n\n [[0, 1],\n [4, 5]]\n [[2, 3],\n [6, 7]]\n [[8, 9],\n [12, 13]]\n [[10, 11],\n [14, 15]]\n\n`num_splits`: \n\n [2, 2]\n\nand `paddings`: \n\n [1, 1]\n\nthe expected `outputs` is: \n\n [[0, 1, 2],\n [4, 5, 6],\n [8, 9, 10]]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `inputs` | A list of at least 1 `Tensor` objects with the same type. Input tensor slices in row-major order to merge across all dimensions. All inputs must have the same shape. } out_arg { name: \"output\" description: \\\u003c |\n| `num_concats` | A list of `ints`. Number of ways to merge per dimension. |\n| `paddings` | An optional list of `ints`. Defaults to `[]`. Optional list of right paddings per dimension to strip from the final merged tensor. These paddings must not exceed the dimension size of the merged result prior to stripping paddings. |\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`. Has the same type as `inputs`. ||\n\n\u003cbr /\u003e"]]
