|  TensorFlow 2 version |  View source on GitHub | 
Initializer that generates tensors initialized to 0.
Inherits From: Initializer
tf.zeros_initializer(
    dtype=tf.dtypes.float32
)
Methods
from_config
@classmethodfrom_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. |