tf.keras.initializers.Identity

Class Identity

Inherits From: Initializer

Aliases:

• Class tf.initializers.identity
• Class tf.keras.initializers.Identity
• Class tf.keras.initializers.identity

Defined in tensorflow/python/ops/init_ops.py.

Initializer that generates the identity matrix.

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.

__init__

__init__(
    gain=1.0,
    dtype=tf.dtypes.float32
)

Initialize self. See help(type(self)) for accurate signature.

Methods

tf.keras.initializers.Identity.__call__

__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.

tf.keras.initializers.Identity.from_config

from_config(
    cls,
    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.

tf.keras.initializers.Identity.get_config

get_config()

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

Returns:

A JSON-serializable Python dict.