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.
|
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
)
View source on GitHub