Issues
- 0
POT对硬件的友好性如何验证?用PC进行POT量化测试得到的精度可信吗?
#28 opened by yobuwen - 2
difference between paper and code in quan_layer
#24 opened by EwainPeng - 2
quantization bit of apot
#22 opened by knockshot - 1
Hyper-Params on MobileNet_V2
#27 opened by Yoggiefu - 4
- 0
calculate MAC
#25 opened by saraa137 - 0
about training time
#23 opened by ejuenred - 1
The MUL unit of APOT
#19 opened by clevercool - 4
Weight normalization
#4 opened by GendalfSeriyy - 0
Some results about resnet20 on cifar10
#21 opened by xiaolonghao - 0
Need Suggestion
#20 opened by shanjum - 0
- 2
about CIFAR10 part main.py resume function
#16 opened by lxy21319 - 5
Size and accuracy
#12 opened by Cyber-Neuron - 2
Technical details
#14 opened by yayapa - 1
uniform_quantization
#11 opened by flyingTan - 2
about uniform quantization
#15 opened by lxy21319 - 0
Lightning Integration
#13 opened by tchaton - 1
- 5
Differences between quant_layer.py
#9 opened by zhangchuanyi96 - 1
NaN loss for 8bit
#8 opened by shehel - 5
The migration of this QAT function?
#7 opened by xieydd - 1
Bottleneck Doubts
#3 opened by dronefreak - 4
Imagenet Accuracy quickly dropping
#6 opened by mostafaelhoushi - 2
Accuracy of Implementation
#5 opened by creaitr - 4
Can you provide pre-trained ResNet-18 model ?
#1 opened by sijeh