Class Initializer
Defined in tensorflow/python/ops/init_ops.py
.
Initializer base class: all initializers inherit from this class.
Methods
tf.keras.initializers.Initializer.__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.
tf.keras.initializers.Initializer.from_config
@classmethod
from_config(
cls,
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 ofget_config
.
Returns:
An Initializer instance.
tf.keras.initializers.Initializer.get_config
get_config()
Returns the configuration of the initializer as a JSON-serializable dict.
Returns:
A JSON-serializable Python dict.