yxgeee / FD-GAN

[NeurIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.

Home Page:https://yxgeee.github.io/projects/fdgan.html

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Stage III test

LuoPeng-CV opened this issue · comments

Excuse me,I got a problem when I tested the best_net_E.pth in stage III. I can test the First stage evaluation, but when it tried to test the second stage,it always gave this information that RuntimeError: CUDA error: out of memory, and after I tried test it using several gpus(CUDA_VISIBLE_DEVICE),it didn't work as well. I'll deeply appreciate it if you could give some suggestions.Thank you!
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try to use a smaller batch size for testing

Thanks for your reply,I've tried to set batch size as 128,64,32,24, but all get the same mistake,RuntimeError: CUDA error: out of memory,and if i set batch size as 20(or less than 20), I got another problem as follow:
image

try to set the num of threads to 0 in the testing data loader

I've tried your way,but it still get the same problem that everytime it reach 5500/16483.
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I will try other ways to solve this problem.Anyway,sincerely thanks for your help!

Hello, I encounter the same problem. Have you solved it?

Hello, I encounter the same problem. Have you solved it?

I remember I solved it at last,but I didn't remember it in detail.
It's probably about modifying inputs = Variable(inputs, volatile=True).cuda() as
with torch.no_grad(): inputs = Variable(inputs).cuda().
Hope it will help you.

Can you point it in detail? "with torch.no_grad(): inputs = Variable(inputs).cuda()" does not work. Thanks.