tf.compat.v1.keras.initializers.Identity

Initializer that generates the identity matrix.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.initializers.identity, tf.compat.v1.keras.initializers.identity

tf.compat.v1.keras.initializers.Identity(
    gain=1.0, dtype=tf.dtypes.float32
)

Only use for 2D matrices.

Args
gain	Multiplicative factor to apply to the identity matrix.
dtype	Default data type, used if no dtype argument is provided when calling the initializer. Only floating point types are supported.

Methods

from_config

View source

@classmethod
from_config(
    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. It will typically be the output of get_config.

Returns
An Initializer instance.

get_config

View source

get_config()

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

Returns
A JSON-serializable Python dict.

__call__

View source

__call__(
    shape, dtype=None, partition_info=None
)

Returns a tensor object initialized as specified by the initializer.

Args
shape	Shape of the tensor.
dtype	Optional dtype of the tensor. If not provided use the initializer dtype.
partition_info	Optional information about the possible partitioning of a tensor.