Comments (4)
@aleksei-kashapov, @AlexKoff88
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@vanyalzr Could you please give me some suggestions? Thanks.
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I compress a pointrend model based on mmdet-2.3.0(commit id: 7ab8f44 ) with nncf patch, the same error occurs, could you please give me a direction? @aleksei-kashapov
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Hi @adamantboy,
Unfortunately the ONNX export in the original mmdetection repo is still limited in terms of the scope of exportable models. You can try to export the model to ONNX using our mmdetection fork.
The export script is located in tools/export.py
and the corresponding config for INT8-quantized PointRend model is in configs/nncf_compression/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco_int8.py
. You can specify your compressed .pth checkpoint to loaded in the config script and export it to ONNX using the export.py
script:
python tools/export.py configs/nncf_compression/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco_int8.py /path/to/your/checkpoint/ ./ onnx
.
cc @aleksei-kashapov
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Related Issues (20)
- yolov8+nncf error HOT 5
- about saved model after quantization HOT 4
- cuda HOT 1
- bounds incompatible with pandas 2.1.4 HOT 1
- AttributeError: 'SymmetricQuantizer' object has no attribute 'register_load_state_dict_post_hook'
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- [BUG] Returning the input to an Upsample layer crashes `nncf.quantize` HOT 2
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- nncf + ultralytics yolov8 training-time compression HOT 7
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- [Good First Issue] [NNCF] Make NNCF common utils code pass mypy checks HOT 23
- [Good First Issue] [NNCF] Make NNCF common accuracy aware training code pass mypy checks HOT 17
- [Good First Issue] [NNCF] Make NNCF common tensor statistics code pass mypy checks HOT 9
- [Good First Issue] [NNCF] Make NNCF common pruning code pass mypy checks HOT 14
- [Good First Issue] [NNCF] Make NNCF common graph code pass mypy checks HOT 26
- [Good First Issue] [NNCF] Cover NNCF code with least coverage percentage with unit tests to at least 80% HOT 25
- [Good First Issue] [NNCF] Make NNCF common sparsity code pass mypy checks HOT 6
- [Good First Issue] [NNCF] Introduce NNCF-specific exception classes across NNCF code base for expected/avoidable error cases instead of standard `RuntimeError` HOT 5
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