tfp.layers.BlockwiseInitializer

Initializer which concats other intializers.

tfp.layers.BlockwiseInitializer( initializers, sizes, validate_args=False )

initializers list of Keras initializers, e.g., "glorot_uniform" or tf.keras.initializers.Constant(0.5413).
sizes list of int scalars representing the number of elements associated with each initializer in initializers.
validate_args Python bool indicating we should do (possibly expensive) graph-time assertions, if necessary.

initializers

sizes

validate_args

Methods

from_config

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@classmethod from_config( config )

Instantiates an initializer from a configuration dictionary.

get_config

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get_config()

Returns initializer configuration as a JSON-serializable dict.

__call__

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__call__( shape, dtype=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 will return tensor of tf.float32.