tf.keras.initializers.Constant
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Initializer that generates tensors with constant values.
Inherits From: Initializer
tf.keras.initializers.Constant(
value=0
)
Also available via the shortcut function tf.keras.initializers.constant.
Only scalar values are allowed.
The constant value provided must be convertible to the dtype requested
when calling the initializer.
Examples:
# Standalone usage:
initializer = tf.keras.initializers.Constant(3.)
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = tf.keras.initializers.Constant(3.)
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)
Args |
|---|
value
|
A Python scalar.
|
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 self.value.
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.keras.initializers.Constant\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#L216-L278) |\n\nInitializer that generates tensors with constant values.\n\nInherits From: [`Initializer`](../../../tf/keras/initializers/Initializer)\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.initializers.Constant`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Constant), [`tf.initializers.constant`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Constant), [`tf.keras.initializers.constant`](https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Constant)\n\n\u003cbr /\u003e\n\n tf.keras.initializers.Constant(\n value=0\n )\n\nAlso available via the shortcut function [`tf.keras.initializers.constant`](../../../tf/keras/initializers/Constant).\n\nOnly scalar values are allowed.\nThe constant value provided must be convertible to the dtype requested\nwhen calling the initializer.\n\n#### Examples:\n\n # Standalone usage:\n initializer = tf.keras.initializers.Constant(3.)\n values = initializer(shape=(2, 2))\n\n # Usage in a Keras layer:\n initializer = tf.keras.initializers.Constant(3.)\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| `value` | A Python scalar. |\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#L270-L278) \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#L267-L268) \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#L245-L265) \n\n __call__(\n shape, dtype=None, **kwargs\n )\n\nReturns a tensor object initialized to `self.value`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | Shape of the tensor. |\n| `dtype` | Optional dtype of the tensor. If not specified, [`keras.backend.floatx()`](../../../tf/keras/backend/floatx) is used, which defaults to `float32` unless you configured it otherwise (via [`keras.backend.set_floatx(float_dtype)`](../../../tf/keras/backend/set_floatx)). \\*\\*kwargs: Additional keyword arguments. |\n\n\u003cbr /\u003e"]]
View source on GitHub