Comments (1)
Hello @AbhijithGanesh,
If you talking about GSoC task then the suggested metrics are good suggestion for estimation per layer quantization error.
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Related Issues (20)
- The question about function create_compressed_model():RuntimeError: CUDA error: device-side assert triggered HOT 4
- Very inconsistent quantization results on Tensorflow HOT 10
- When will there be a c++ interface? HOT 2
- IndexError: list index out of range When I try to quantize llama models using OVQuantizer HOT 2
- [TorchFX] Torch FX/PyTorch 2 Export Quantization HOT 2
- ov.compile_model(quantized_model, device_name="GPU") is not working HOT 5
- [Good First Issue][NNCF][TorchFX]: Test model transformer HOT 10
- [Good First Issue][NNCF][TorchFX]: Test statistic aggregator HOT 5
- [TorchFX] TorchFX metatypes support HOT 2
- DeformConv2d Cannot be Quantized HOT 1
- [NNCF][TorchFX]: Test Fast Bias Correction algorithm HOT 2
- test_autoq_precision_init Fails due to connection timeout HOT 1
- Failed to export NNCF QAT model for Ultralytics YOLOv8 HOT 5
- [Good First Issue][NNCF]: [TorchFX] Test MinMax algorithm HOT 3
- [Good First Issue][NNCF]: [TorchFX] Test PTQ MinMax parameters HOT 4
- [Good First Issue][NNCF]: [TorchFX] Test PTQ quantizer config HOT 7
- Object Detection Quantization fails with OpenVINO 2024.3 HOT 1
- [TorchFX] Add edges shape to `test_models.py`
- [TorchFX] Use node names vs node map in the Model Transformer
- Accuracy Aware Quantization- Object Segmentation fails for OpenVINO 2024.3 and ultralytics_8.2.74 with yolov8-seg model and coco128-seg dataset
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