tf.compat.v1.keras.initializers.Identity

Initializer that generates the identity matrix.

Compat aliases for migration

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

@classmethod
from_config(
    config
)

Instantiates an initializer from a configuration dictionary.

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()

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

Returns
A JSON-serializable Python dict.

__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.