Split get_weight_compression_parameters on get_params/collect_statistics #43
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daniil-lyakhov
commented
Oct 2, 2025
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| all_weight_params, ratio_defining_params, group_size_values = self.get_weight_compression_parameters( | ||
| model, graph | ||
| ) |
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all_weight_params, ratio_defining_params, group_size_values = self._quantizer.get_weight_compression_parameters(
model, graph
)
quantizer doesn't need sensetivity metrics/ ratio and etc. It is the basic mixed precision: if the node is embedding node/ last node/ conv node- it is in the backup precision. Have to keep backup precision though
daniil-lyakhov
commented
Oct 2, 2025
src/nncf/quantization/algorithms/weight_compression/algorithm.py
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daniil-lyakhov
commented
Oct 2, 2025
daniil-lyakhov
commented
Oct 2, 2025
daniil-lyakhov
commented
Oct 2, 2025
| all_weight_params, ratio_defining_params, group_size_values = self.get_weight_compression_parameters( | ||
| model, graph | ||
| ) | ||
| return self.apply_with_parameters( |
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self._algo.apply_with_parameters(
model,
graph,
dataset,
statistic_points,
all_weight_params,
ratio_defining_params,
group_size_values,
)
algo has all required params like sencetivity metric/ ratio and etc
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