Comments (1)
Maybe because this method is a Simulated Quantization, that means using float32 to calculate.
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Related Issues (20)
- Reproduction and Auto-Mixed Quantization? HOT 2
- How much calibration data is needed? HOT 3
- Where could I find low bit quantization code.
- increased inference latency for quantized model HOT 4
- The accuracy of pytorch official model is 0.3% lower than full precision HOT 1
- bitwidth of each layer (discussion of MP) HOT 2
- Export quantized model into pth file
- How to Train A Quantized SSD Detector?
- 生成数据时,提取的网络激活位置是否有bug? HOT 1
- Backpropagation function for quantized model
- is the initialized data from a uniform distribution instead of a gaussian distribution?
- Could you share the slides of the oral report? Thanks
- The result of using original ImageNet dataset to calibrate 4bit model is worse than ZeroQ, why is that?
- Why do the weights need to be dequantized after one quantization? HOT 1
- Runtime error when running uniform_test.py
- Welcome update to OpenMMLab 2.0
- How is the Mixed Precision bit setting is automated? HOT 1
- Is the proposed method a Offline quantization or Run-time quantization? HOT 2
- Difference in Baseline FP32 accuracy numbers for MobileNetV2 and ResNet18 as compared to DFQ HOT 4
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