tf.keras.initializers.Constant

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)

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
A tf.keras.initializers.Initializer instance.

get_config

View source

get_config()

Returns the configuration of the initializer 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.

Args
shape Shape of the tensor.
dtype Optional dtype of the tensor. 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.