tf.keras.initializers.Identity
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Initializer that generates the identity matrix.
Inherits From: Initializer
tf.keras.initializers.Identity(
gain=1.0
)
Also available via the shortcut function tf.keras.initializers.identity.
Only usable for generating 2D matrices.
Examples:
# 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
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, the output of get_config().
|
| Returns |
|---|
An Initializer instance.
|
get_config
View source
get_config()
Returns the initializer's configuration as a JSON-serializable dict.
| Returns |
|---|
|
A JSON-serializable Python dict.
|
__call__
View source
__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.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.initializers.Identity\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.14.0/keras/initializers/initializers.py#L786-L845) |\n\nInitializer that generates the identity matrix.\n\nInherits From: [`Initializer`](../../../tf/keras/initializers/Initializer)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.initializers.Identity`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Identity), [`tf.initializers.identity`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Identity), [`tf.keras.initializers.identity`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Identity)\n\n\u003cbr /\u003e\n\n tf.keras.initializers.Identity(\n gain=1.0\n )\n\nAlso available via the shortcut function [`tf.keras.initializers.identity`](../../../tf/keras/initializers/Identity).\n\nOnly usable for generating 2D matrices.\n\n#### Examples:\n\n # Standalone usage:\n initializer = tf.keras.initializers.Identity()\n values = initializer(shape=(2, 2))\n\n # Usage in a Keras layer:\n initializer = tf.keras.initializers.Identity()\n layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|--------------------------------------------------------|\n| `gain` | Multiplicative factor to apply to the identity matrix. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `from_config`\n\n[View source](https://github.com/keras-team/keras/tree/v2.14.0/keras/initializers/initializers.py#L96-L115) \n\n @classmethod\n from_config(\n config\n )\n\nInstantiates an initializer from a configuration dictionary.\n\n#### Example:\n\n initializer = RandomUniform(-1, 1)\n config = initializer.get_config()\n initializer = RandomUniform.from_config(config)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|----------------------------------------------------|\n| `config` | A Python dictionary, the output of `get_config()`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| An `Initializer` instance. ||\n\n\u003cbr /\u003e\n\n### `get_config`\n\n[View source](https://github.com/keras-team/keras/tree/v2.14.0/keras/initializers/initializers.py#L844-L845) \n\n get_config()\n\nReturns the initializer's configuration as a JSON-serializable dict.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| A JSON-serializable Python dict. ||\n\n\u003cbr /\u003e\n\n### `__call__`\n\n[View source](https://github.com/keras-team/keras/tree/v2.14.0/keras/initializers/initializers.py#L813-L838) \n\n __call__(\n shape, dtype=None, **kwargs\n )\n\nReturns a tensor object initialized to a 2D identity matrix.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | Shape of the tensor. It should have exactly rank 2. |\n| `dtype` | Optional dtype of the tensor. Only floating point types are supported. If not specified, [`tf.keras.backend.floatx()`](../../../tf/keras/backend/floatx) is used, which default to `float32` unless you configured it otherwise (via [`tf.keras.backend.set_floatx(float_dtype)`](../../../tf/keras/backend/set_floatx)) |\n| `**kwargs` | Additional keyword arguments. |\n\n\u003cbr /\u003e"]]
View source on GitHub