tf.initializers.ones

Initializer that generates tensors initialized to 1.

Inherits From: Initializer

View aliases

Main aliases

tf.keras.initializers.Ones, tf.keras.initializers.ones, tf.ones_initializer

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.initializers.ones, tf.compat.v1.keras.initializers.Ones, tf.compat.v1.keras.initializers.ones, tf.compat.v1.ones_initializer

tf.initializers.ones(
    dtype=tf.dtypes.float32
)

Methods

from_config

View source

@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

View source

get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

View source

__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.