tf.keras.layers.RepeatVector

Repeats the input n times.

tf.keras.layers.RepeatVector(
    n, **kwargs
)

x = keras.Input(shape=(32,))
y = keras.layers.RepeatVector(3)(x)
y.shape
(None, 3, 32)

Args
`n`	Integer, repetition factor.

Input shape
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.

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.

@classmethod
from_config(
    config
)

Creates an operation from its config.

This method is the reverse of get_config, capable of instantiating the same operation from the config dictionary.

if "dtype" in config and isinstance(config["dtype"], dict):
    policy = dtype_policies.deserialize(config["dtype"])

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

Returns
An operation instance.