tfl.lattice_lib.random_monotonic_initializer
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Returns a uniformly random sampled monotonic lattice layer weight tensor.
tfl.lattice_lib.random_monotonic_initializer(
lattice_sizes, output_min, output_max, units=1, dtype=tf.float32
)
- The uniform random monotonic function will initilaize the lattice parameters
uniformly at random and make it such that the parameters are monotonically
increasing for each input.
- The random parameters will be sampled from
[output_min, output_max]
Args |
|---|
lattice_sizes
|
List or tuple of integers which represents lattice sizes.
|
output_min
|
Minimum output of lattice layer after initialization.
|
output_max
|
Maximum output of lattice layer after initialization.
|
units
|
Output dimension of the layer. Each of units lattices will be
initialized identically.
|
dtype
|
dtype.
|
Returns |
|---|
Lattice weights tensor of shape: (prod(lattice_sizes), units).
|
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Last updated 2024-08-02 UTC.
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View source on GitHub