tfl.kronecker_factored_lattice_layer.KroneckerFactoredLatticeConstraints
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Constraints for tfl.layers.KroneckerFactoredLattice
layer.
tfl.kronecker_factored_lattice_layer.KroneckerFactoredLatticeConstraints(
units, scale, monotonicities=None, output_min=None, output_max=None
)
Applies all constraints to the Kronecker-Factored Lattice weights. See
tfl.layers.KroneckerFactoredLattice
for more details.
Args |
units
|
Same meaning as corresponding parameter of
KroneckerFactoredLattice .
|
scale
|
Scale variable of shape: (units, num_terms) .
|
monotonicities
|
Same meaning as corresponding parameter of
KroneckerFactoredLattice .
|
output_min
|
Same meaning as corresponding parameter of
KroneckerFactoredLattice .
|
output_max
|
Same meaning as corresponding parameter of
KroneckerFactoredLattice .
|
Methods
from_config
@classmethod
from_config(
config
)
Instantiates a weight constraint from a configuration dictionary.
Example:
constraint = UnitNorm()
config = constraint.get_config()
constraint = UnitNorm.from_config(config)
Args |
config
|
A Python dictionary, the output of get_config .
|
get_config
View source
get_config()
Standard Keras config for serialization.
__call__
View source
__call__(
w
)
Applies constraints to w
.
Args |
w
|
Kronecker-Factored Lattice weights tensor of shape: (1, lattice_sizes,
units * dims, num_terms) .
|
Returns |
Constrained and projected w.
|
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Last updated 2024-08-02 UTC.
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