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Silence Keras progress bars in ExpressionSampler predictions #58

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8 changes: 5 additions & 3 deletions gnm/shape/semantic_sampler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ def _get_rng(rng: np.random.Generator | None) -> np.random.Generator:


class ExpressionSampler:
"""Samples expressions and identities from a Conditional VAE."""
"""Samples expressions from a Conditional VAE."""

def __init__(
self,
Expand Down Expand Up @@ -169,7 +169,9 @@ def sample_expression(
'float32'
)

generated_vectors = self._decoder.predict([z_sample, class_one_hot])
generated_vectors = self._decoder.predict(
[z_sample, class_one_hot], verbose=0
)
class_name = self._expression_names[class_label]
if verbose:
print(
Expand Down Expand Up @@ -231,7 +233,7 @@ def blend_expressions(

# Decode the blended latent vector and weighted average of one-hot labels
blended_expression = self._decoder.predict(
[blended_latent_vector, blended_one_hot_label]
[blended_latent_vector, blended_one_hot_label], verbose=0
)
if verbose:
print(
Expand Down