tf.keras.initializers.Ones

Initializer that generates tensors initialized to 1.

Inherits From: Initializer

Also available via the shortcut function ones.

Examples:

# Standalone usage:
initializer = Ones()
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = Ones()
layer = Dense(3, kernel_initializer=initializer)

Methods

clone

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from_config

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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, the output of get_config().

Returns
An Initializer instance.

get_config

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Returns the initializer's configuration as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

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Returns a tensor object initialized as specified by the initializer.

Args
shape Shape of the tensor.
dtype Optional dtype of the tensor. Only numeric or boolean dtypes are supported. If not specified, keras.backend.floatx() is used, which default to float32 unless you configured it otherwise (via keras.backend.set_floatx(float_dtype)).