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  • src/nncf/quantization/algorithms/weight_compression

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src/nncf/quantization/algorithms/weight_compression/algorithm.py

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@@ -885,7 +885,7 @@ def apply(
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all_weight_params = list(filter(lambda w_params: w_params.compression_config is not None, all_weight_params))
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if self._awq:
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model = self.awq_algo.apply(model, graph, all_weight_params, statistics, self._backend_entity)
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self.awq_algo.apply(model, graph, all_weight_params, statistics, self._backend_entity)
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# After applying AWQ we need to update statistics since AWQ alters the activations
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statistics = self.awq_algo.update_statistics(statistics)
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# del is used to prematurely mark non-necessary data as free for garbage collection

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