Switch PyTorch PTQ to common implementation #2227
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Additional details and impacted files@@ Coverage Diff @@
## develop #2227 +/- ##
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+ Coverage 36.40% 89.61% +53.21%
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Files 486 485 -1
Lines 43508 43421 -87
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+ Hits 15838 38912 +23074
+ Misses 27670 4509 -23161
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post_training_quantization/193/ |
vshampor
reviewed
Oct 30, 2023
Co-authored-by: Daniil Lyakhov <[email protected]>
Co-authored-by: Daniil Lyakhov <[email protected]>
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@vshampor , please state explicitly if there are any remaining comments from you that should be applied or you're ok to merge it. |
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I'm not blocking it, but the change will have to be aligned with #2196 in one way or another. |
KodiaqQ
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that referenced
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Nov 30, 2023
### Changes - Update torch examples, added argument `--export-model-path` instead of `--to-onnx` that select output type by suffix '.xml' or '.onnx'. - Update tests to use Command to run examples. - Remove tests of q_dq export path. - Remove code to make html report, now metrics dumps in `results.csv`. - Added "build url" in `results.csv`. - Actualize reference metrics. - Move normalization of input to accuracy cheker configs. - Use `target_ov` and `target_pt` to define reference metrics for backends. - Skip test `unet_mapillary_int8` and `unet_mapillary_magnitude_sparsity_int8` models by 123448. - Skip `resnet18_imagenet_binarization_dorefa` model by 22543. Updates in CI: - Update script to report `final e2e_result.html` for e2e tests. - Now if any test falls trigger_job will be fails. After merge requires update ci-pipelines. ### Related tickets 117885 ### Tests tests/torch/test_sota_checkpoints.py ### TODO - update metrics after merge #2227 - check metrics after #2211
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Changes
nncf.quantizeto post training implementation for PT backendRelated tickets
119910