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Extract _clone_model_with_weights from quantize_apply #1076

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Extract _clone_model_with_weights from quantize_apply #1076

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13 changes: 7 additions & 6 deletions tensorflow_model_optimization/python/core/quantization/keras/quantize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -285,6 +285,13 @@ def quantize_annotate_layer(to_annotate, quantize_config=None):
layer=to_annotate, quantize_config=quantize_config)


def _clone_model_with_weights(model_to_clone):
cloned_model = keras.models.clone_model(model_to_clone)
cloned_model.set_weights(model_to_clone.get_weights())

return cloned_model


@metrics.MonitorBoolGauge('quantize_apply_usage')
def quantize_apply(
model,
Expand Down Expand Up @@ -361,12 +368,6 @@ def quantize_apply(
'been built yet. Please call `model.build(input_shape)` '
'before quantizing your model.')

def _clone_model_with_weights(model_to_clone):
cloned_model = keras.models.clone_model(model_to_clone)
cloned_model.set_weights(model_to_clone.get_weights())

return cloned_model

def _extract_original_model(model_to_unwrap):
"""Extracts original model by removing wrappers."""
layer_quantize_map = {}
Expand Down