Efficient-Computing icon indicating copy to clipboard operation
Efficient-Computing copied to clipboard

Efficient computing methods developed by Huawei Noah's Ark Lab

Results 51 Efficient-Computing issues
Sort by recently updated
recently updated
newest added

非常感谢您分享您论文的实现代码,我想问一个比较愚蠢的问题:为什么全连接层的输出刚好就是比特候选中相应比特被选择的logits呢?

How to load pretrained model for training?

![image](https://github.com/huawei-noah/Efficient-Computing/assets/54393886/f4f6d2fb-b585-4bf7-8353-38d5e8fa329e) my reconstruct res can’t see any userful information。 ![image](https://github.com/huawei-noah/Efficient-Computing/assets/54393886/e8cec54f-b969-48de-831c-677296e01050) this is my log.txt i will appreciate for your quickly response!!

如何使用gold-yolo框架实现热力图可视化呢? How to use gold-yolo framework to realize the visualization of heat map?

Add PTQ4SR, accepeted by CVPR2023.

https://github.com/huawei-noah/Efficient-Computing/issues/139#issuecomment-2165075615 I created a new issue because I can't reopen the existing issue. Hello, As mentioned in the link above, I successfully reimplemented CIFAR-10 using the best accuracy. I have...

https://github.com/huawei-noah/Efficient-Computing/blob/master/Data-Efficient-Model-Compression/DAFL/DAFL-train.py#L179 loss_information_entropy = (softmax_o_T * torch.log10(softmax_o_T)).sum() RuntimeError: Function 'XlogyBackward0' returned nan values in its 1th output. 这里是不是会出现当softmax后概率过小或者为0的情况时,会出现nan的情况,当时你遇到过吗,如果遇到过,当时是怎么解决这个问题的。

when i try the project IPG with this code:python exec.py --opt options/train_IPG_SR_x2.yml --eval_opt options/test_IPG_BasicSR_x2.yml --scale 2

作者你好,请问test数据集的文件结构是怎么来的,我下载的文件并不是这样,需要自己处理吗?感谢!

Hello, author. Could you please provide the parameters of your SOTA model? I intend to cite IPG in my thesis. The parameter quantity of the x4 magnification I measured is...