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tf.keras.layers.Permute

Permutes the dimensions of the input according to a given pattern.

Inherits From: Layer, Operation

tf.keras.layers.Permute(
    dims, **kwargs
)

Useful e.g. connecting RNNs and convnets.

Args
`dims`	Tuple of integers. Permutation pattern does not include the batch dimension. Indexing starts at 1. For instance, `(2, 1)` permutes the first and second dimensions of the input.

Input shape
Arbitrary.

Output shape
Same as the input shape, but with the dimensions re-ordered according to the specified pattern.

Example:

x = keras.Input(shape=(10, 64))
y = keras.layers.Permute((2, 1))(x)
y.shape
(None, 64, 10)

Attributes
`input`	Retrieves the input tensor(s) of a symbolic operation. Only returns the tensor(s) corresponding to the first time the operation was called.
`output`	Retrieves the output tensor(s) of a layer. Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

`from_config`

View source

@classmethod
from_config(
    config
)

Creates a layer from its config.

This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).

Args
`config`	A Python dictionary, typically the output of get_config.

Returns
A layer instance.

`symbolic_call`

View source

symbolic_call(
    *args, **kwargs
)

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/layers/Permute