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Add get_config and from_config methods to DenseVariational_v2 #1695

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Add get_config and from_config methods to DenseVariational_v2 #1695

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Add get_config and from_config methods
Frightera Feb 17, 2023
ebc8c79
Merge branch 'main' into frightera_fix_1627
Frightera May 15, 2023
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18 changes: 17 additions & 1 deletion tensorflow_probability/python/layers/dense_variational_v2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,7 @@ def build(self, input_shape):
last_dim * self.units,
self.units if self.use_bias else 0,
dtype)

with tf.name_scope('prior'):
self._prior = self._make_prior_fn(
last_dim * self.units,
Expand Down Expand Up @@ -157,10 +158,25 @@ def compute_output_shape(self, input_shape):
input_shape = input_shape.with_rank_at_least(2)
if input_shape[-1] is None:
raise ValueError(
f'The innermost dimension of input_shape must be defined, but saw: {input_shape}'
f'The innermost dimension of input_shape must be defined, '
f'but saw: {input_shape}'
)
return input_shape[:-1].concatenate(self.units)

def get_config(self):
base_config = super(DenseVariational, self).get_config()
config = {
'units': self.units,
'make_posterior_fn': self._make_posterior_fn,
'make_prior_fn': self._make_prior_fn,
'activation': self.activation,
'use_bias': self.use_bias,
}
return dict(list(base_config.items()) + list(config.items()))

@classmethod
def from_config(cls, config):
return cls(**config)

def _make_kl_divergence_penalty(
use_exact_kl=False,
Expand Down