Repeats the input n times.
Inherits From: Layer, Operation
tf.keras.layers.RepeatVector(
n, **kwargs
)
Example:
x = keras.Input(shape=(32,))
y = keras.layers.RepeatVector(3)(x)
y.shape
(None, 3, 32)
Args |
|---|
n
|
Integer, repetition factor.
|
|
|---|
2D tensor with shape (batch_size, features).
|
Output shape |
|---|
3D tensor with shape (batch_size, n, features).
|
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