tf.keras.initializers.Identity

Initializer that generates the identity matrix.

Inherits From: Initializer

Main aliases

tf.keras.initializers.Identity(
    gain=1.0
)

Also available via the shortcut function tf.keras.initializers.identity.

Only usable for generating 2D matrices.

# Standalone usage:
initializer = tf.keras.initializers.Identity()
values = initializer(shape=(2, 2))

# Usage in a Keras layer:
initializer = tf.keras.initializers.Identity()
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)

Args
`gain`	Multiplicative factor to apply to the identity matrix.

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, **kwargs
)

Returns a tensor object initialized to a 2D identity matrix.

Args
`shape`	Shape of the tensor. It should have exactly rank 2.
`dtype`	Optional dtype of the tensor. Only floating point types are supported. If not specified, `tf.keras.backend.floatx()` is used, which default to `float32` unless you configured it otherwise (via `tf.keras.backend.set_floatx(float_dtype)`)
`**kwargs`	Additional keyword arguments.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/initializers/Identity