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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)
| Args | |
|---|---|
| value | A Python scalar. | 
Methods
from_config
  
  @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.Initializerinstance. | 
get_config
  
  get_config()
Returns the configuration of the initializer as a JSON-serializable dict.
| Returns | |
|---|---|
| A JSON-serializable Python dict. | 
__call__
  
  __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 tofloat32unless you configured it otherwise (viatf.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/Constant