Yang-Liu1082 / InvDN

Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
Apache License 2.0
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About training time #12

Closed cskunqin closed 2 years ago

cskunqin commented 2 years ago

I train very slowly on 2080ti, I want to know your training time and how long it takes to train 100 iter

llmpass commented 2 years ago

I train very slowly on 2080ti, I want to know your training time and how long it takes to train 100 iter

On my side, I trained the model with Quadro RTX 6000, spending 48s per 100 iteration.

YongpeiZhu commented 2 years ago

I also train very slowly on V100. But I do not know where is the problem?

cskunqin commented 2 years ago

I also train very slowly on V100. But I do not know where is the problem?

Maybe you need to put the dataset in SSD

YongpeiZhu commented 2 years ago

I also train very slowly on V100. But I do not know where is the problem?

Maybe you need to put the dataset in SSD

How to do it?

YongpeiZhu commented 2 years ago

We have trained it in SSD. But what is the problem?

cskunqin commented 2 years ago

We have trained it in SSD. But what is the problem?

我这边的训练速度大概是一小时一万步,显卡是2080ti,操作系统是Windows,patchsize128*128,batchsize为16

sui1999 commented 1 year ago

我们已经在 SSD 中对其进行了训练。但问题是什么?

大佬,请问你代码下载后是怎么处理的,为什么我在3060TI上,两分钟只能处理八张图片,patchsize256*256,bitchsize为8

sui1999 commented 1 year ago

我们已经在 SSD 中对其进行了训练。但问题是什么?

我这边的训练速度大概是一小时一万步,显卡是2080ti,操作系统是Windows,patchsize128*128,batchsize为16

大佬,请问你代码下载后是怎么处理的,为什么我在3060TI上,两分钟只能处理八张图片,patchsize256*256,bitchsize为8,是因为没有提前处理保存lq部分的图片吗