tf.keras.layers.Permute | TensorFlow v2.16.1 (original) (raw)
tf.keras.layers.Permute
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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
@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
)