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**模型压缩的集合**
https://github.com/cedrickchee/awesome-ml-model-compression
**模型压缩四大方向，计算机视觉领域的低功耗深度学习前沿技术综述**
https://www.infoq.cn/article/Y8UuJHRTGvrZVKKPJFh2
**当前深度神经网络模型压缩和加速都有哪些方法？**
https://zhu…
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### 🐛 Describe the bug
fp32 static shape default wrapper
suite
name
thread
batch_size_new
speed_up_new
inductor_new
eager_new
compi…
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### 🐛 Describe the bug
shufflenet_v2_x1_0 QAT performance regression
model_name
qat_new
qat_old
qat ratio(new/old)
shufflenet_v2_x1_…
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### 🐛 Describe the bug
`models.shufflenet_v2_x1_0` can be trained with `BATCH_SIZE = 16384`, which cannot be run successfully with ColossalAI.
The information is below:
```bash
(conda-general) use…
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Hi,
thanks for your work.
when I test and train the net, it seems more slowly than alexNet or caffeNet under the same configuration, is this normal? What was your result? thanks!
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Hi
Can you share your accuracy or even caffemodel?
When I run shufflenet, the utilization rate of the computer's hard disk often reaches 100%. Have you ever met this situation?
Thanks!
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This is just advice.
In production environment, latency is also very important.
Do you have any plan to train small network, such as mobilenet v1&v2, shufflenet v1&v2 and so on???
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* 개요
> base 모델을 찾기 위한 pretrained 모델별 성능비교를 해봤습니다.
optimizer, dataset, batchsize, criterion 등은 동일하고,
모델에 따라 출력 레이어에서 1) dropout(0.5) 추가나 2) fc layer만 변경, 3) 기존 모델 그대로 사용 등 약간의 차이만 있습니다.
아래는 모델이외의 …
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아래와 같이 진행사항 정리합니다.
1) 제가 빠트린 부분이나 보충해야할 부분 추가해주세요
2) 지난주까지 진행해본 Task에서 완료된 것은 issue close하시고 새로 진행하시는 task 는 이슈새로 만들어서 진행해주세요
다음주도 화이팅 하시죠!
@hayleyshim @ddeokho @yesolyun @DownyBehind
…
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https://arxiv.org/abs/1707.01083
MobileNet과 성능, 계산량이 비슷함