tf.raw_ops.AssignVariableXlaConcatND

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Concats input tensor across all dimensions.

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Compat aliases for migration

tf.compat.v1.raw_ops.AssignVariableXlaConcatND

tf.raw_ops.AssignVariableXlaConcatND(
    resource, 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 writes the merged tensor without paddings to the resource variable.

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
resource	A Tensor of type resource. Resource variable for concatenated input tensors across all dimensions. } in_arg { name: "inputs" description: <
inputs	A list of at least 1 Tensor objects with the same type.
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
The created Operation.

tf.raw_ops.AssignVariableXlaConcatND | TensorFlow v2.16.1 (original) (raw)

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