tf.compat.v1.ones_initializer

Initializer that generates tensors initialized to 1.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.initializers.ones

Migrate to TF2

This API is compatible with TF2 behavior and tf.function, and can be migrated immediately with tf.keras.initializers.ones.

Before:

>>> initializer = tf.compat.v1.keras.initializers.ones()
>>> initializer((1, 1))
<tf.Tensor: shape=(1, 1), dtype=float32, numpy=array([[1.]], dtype=float32)>

After:

>>> initializer = tf.keras.initializers.ones()
>>> initializer((1, 1))
<tf.Tensor: shape=(1, 1), dtype=float32, numpy=array([[1.]], dtype=float32)>

Description

Methods

from_config

View source

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

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

Returns
A JSON-serializable Python dict.

__call__

View source

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.