Comments (2)
Quantization is higher priority in our plan, we will release it as soon. You can star mmrazor
so as to be notified as early.
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Look forward next release version.
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Related Issues (20)
- why the accuracy of distilled student is lower than model of mmpretrain HOT 2
- TypeError: __init__() takes 1 positional argument but 2 were given HOT 2
- TypeError: 'Proxy' object cannot be interpreted as an integer HOT 1
- Quantizing rtmdet to int8 fails HOT 2
- How to load the training weights of the student model before distillation? HOT 1
- Does mmrazor now support mmroate?
- ImportError: `torch>=1.13` is not installed properly, plz check. HOT 1
- Are there any tutorials that are friendly to newcomers?
- compile mmrazor gets a wrong results with pip install -v -e .
- The student model maintains an mAP of 0 throughout the distiller training process.
- KD connector
- torch.fx.proxy.TraceError: class `MMArchitectureQuant` HOT 11
- generate a yolov5_prune_config file
- [Bug] use mmrazor/main/tools/visualizations/feature_diff_visualization.py error: inference_mot() missing 2 required positional arguments: 'frame_id' and 'video_len'
- How to use the mmrazor tool to lightweight the end2end.onnx model generated by mmdeploy
- Error: assert len(module.recorded_input) > 0
- Was support for GN ever added to mmrazor?
- I can't reproduce dfad results
- How to get started??
- [Bug] TypeError: 'NoneType' object is not iterable
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