tfc.layers.IdentityInitializer

Initialize to the identity kernel with the given shape.

This creates an n-D kernel suitable for SignalConv* with the requested support that produces an output identical to its input (except possibly at the signal boundaries).

Methods

from_config

Instantiates an initializer from a configuration dictionary.

Example:

initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)

Args
config A Python dictionary, the output of get_config.

Returns
A tf.keras.initializers.Initializer instance.

get_config

View source

Returns the configuration of the initializer as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

View source

Returns a tensor object initialized as specified by the initializer.

Args
shape Shape of the tensor.
dtype Optional dtype of the tensor.
**kwargs Additional keyword arguments.