Comments (1)
Thanks for your attention to MMRazor.
I'm very excited to receive your issue!
My colleagues and I agree that ResRep is excellent work, and we will start to reproduce ResRep as soon as possible.
Could we invite you to review at that time? @DingXiaoH
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Related Issues (20)
- [Feature] merge DFND algorithm to mmrazor
- [Bug] class `CustomTracer` in mmrazor/models/task_modules/tracer/fx/custom_tracer.py: __init__() takes 1 positional argument but 3 were given HOT 1
- 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 1
- How to load the training weights of the student model before distillation?
- Does mmrazor now support mmroate?
- ImportError: `torch>=1.13` is not installed properly, plz check.
- 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 1
- 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
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