[WC] WC/Mixed Precision/AWQ transpose_a support #3794
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NNCF OpenVINO
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@andrey-churkin, please review updated AWQ ONNX backend |
andreyanufr
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Dec 22, 2025
| return transformed_model | ||
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| def _get_activation_node_and_port(self, node: NNCFNode, nncf_graph: NNCFGraph) -> tuple[NNCFNode, int]: | ||
| def _get_activation_node_port_and_channel(self, node: NNCFNode, nncf_graph: NNCFGraph) -> tuple[NNCFNode, int]: |
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tuple[NNCFNode, int, int]
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| if any(weight_dim > 3 for weight_dim in all_weight_dims): | ||
| max_val = max(weight_dim for weight_dim in all_weight_dims) | ||
| msg = f"Compression with {max_val} dimentional weight is not supported" |
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we always keep convolutions with 4D weights in backup mode
@daniil-lyakhov is it valid condition for error?
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@andreyanufr @andrey-churkin, please take a look |
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@daniil-lyakhov Could you please start the |
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Sure |
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Co-authored-by: andreyanufr <andrey.anufriev@intel.com>
AlexanderDokuchaev
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Changes
transpose_asupporttranspose_asupportprocess_statisticstranspose_aparam supportReason for changes
Related tickets
173277
Tests
transpose_aparam to check base WC/ mixed precision algotranspose_aandnon_mergable_patternto check non mergeable AWQ branch & activation transpose supportact_ch_axissupport inprocess_statisticsfntrahspose_amodel supplied to an algorithm