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tf.compat.v1.keras.initializers.Ones
Initializer that generates tensors initialized to 1.
tf.compat.v1.keras.initializers.Ones(
    dtype=tf.dtypes.float32
)
  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. It will typically be the output of get_config. | 
     
| Returns | |
|---|---|
| An Initializer instance. | 
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, partition_info=None
)
  Returns a tensor object initialized as specified by the initializer.
| Args | |
|---|---|
shape | 
      Shape of the tensor. | 
dtype | 
      Optional dtype of the tensor. If not provided use the initializer dtype. | 
partition_info | 
      Optional information about the possible partitioning of a tensor. | 
© 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/r2.3/api_docs/python/tf/compat/v1/keras/initializers/Ones