Comments (3)
非常有趣, 有兴趣提供一个PR吗?
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可以的,但是需要晚一点
from mqbench.
虽然加 X.contiguous()
解决了结果错误的问题,但是我使用 FixedFakequant
进行 QAT 目前还是无法恢复 float 精度,LSQ 也试过,同样无法恢复,后端是 SNPE。
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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- Is the current repo no longer maintained HOT 2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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