ones_initializer
Inherits From: Initializer
tf.initializers.ones
tf.keras.initializers.Ones
tf.ones_initializer
Defined in tensorflow/python/ops/init_ops.py
.
See the guide: Variables > Sharing Variables
Initializer that generates tensors initialized to 1.
__init__
__init__(dtype=tf.float32)
Initialize self. See help(type(self)) for accurate signature.
__call__
__call__( shape, dtype=None, partition_info=None )
Call self as a function.
from_config
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)
config
: A Python dictionary. It will typically be the output of get_config
.An Initializer instance.
get_config
get_config()
Returns the configuration of the initializer as a JSON-serializable dict.
A JSON-serializable Python dict.
© 2018 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/api_docs/python/tf/ones_initializer