Comments (4)
We are scheduling a regular releasing plan recently to make this project more active. For next version, deployment on TVM and experiment settings in MQBench papaer are important.
You can try imagenet training and TensorRT deployment after reading this https://github.com/ModelTC/MQBench/tree/master/application/imagenet_example
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@Tracin Thanks reply rapidly. I am doing quantize detection model by this project in current. This project is great.
I guess pytorch will update quantize module in version 1.10 since it move all quantize function to torch.ao.
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@www516717402 Yes, we also noticed the update of PyTorch. We will keep pace with PyTorch and make our project compatible with the latest version.
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Look forward update comming.
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Related Issues (20)
- Is the current repo no longer maintained HOT 2
- advanced PTQ accuracy too low HOT 8
- PTQ量化后如何获得一个纯净的pytorch模型 HOT 1
- Why is the "Fisher Diagnoal Matrix" mentioned in brecq not used in mqbench ? HOT 1
- 关于模型中有控制流不能被追踪的问题 HOT 2
- The accuracy of mqbench QAT is inconsistent with that of running it using SNPE HOT 3
- spring 安装失败 HOT 2
- when will you update to torch 2.0 HOT 1
- 为什么vitis后端每层都量化? HOT 3
- model.zero_grad() ? HOT 2
- why the scale and zero_point not update in Learnablefakequantize? I used different methods to quantize the yolov5 HOT 4
- vitis-ai-gpu:1.4.1难以建立,请问有什么可用的镜像吗? HOT 2
- 如何添加定制的conv HOT 1
- Can't convert to deploy after use advanced_ptq HOT 2
- how to config additional_function_type in yaml config? HOT 1
- AttributeError: 'NoneType' object has no attribute 'detach' HOT 8
- 请问,有对不同BenkendType之间转换的工具,比如Academic转到SNPE的后端? HOT 1
- ImportError: cannot import name 'ConvBNReLUFusion' from 'torch.quantization.fx.fusion_patterns' HOT 3
- WARNING HOT 1
- 打开pot量化效果更好?
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