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)
Methods
from_config
@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
symbolic_call(
*args, **kwargs
)