tfl.kronecker_factored_lattice_layer.ScaleInitializer
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Initializes scale depending on output_min and output_max.
tfl.kronecker_factored_lattice_layer.ScaleInitializer(
output_min, output_max
)
If both output_min and output_max are set, scale is initialized to half their
difference, alternating signs for each term. If only output_min is set, scale
is initialized to 1 for each term. If only output_max is set, scale is
initialized to -1 for each term. Otherwise scale is initialized to alternate
between 1 and -1 for each term.
Args |
output_min
|
None or minimum layer output.
|
output_max
|
None or maximum layer output.
|
Methods
from_config
@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, the output of get_config() .
|
Returns |
An Initializer instance.
|
get_config
View source
get_config()
Standard Keras config for serializaion.
__call__
View source
__call__(
shape, dtype=None, **kwargs
)
Returns weights of tfl.layers.KroneckerFactoredLattice
scale.
Args |
shape
|
Must be: (units, num_terms) .
|
dtype
|
Standard Keras initializer param.
|
**kwargs
|
Other args passed to keras.initializers.Initializer call
method.
|
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Last updated 2024-08-02 UTC.
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