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pix2pix

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zhou-frank
zhou-frank commented Sep 24, 2019

should I scale the multi-gpu lr to batchsize * single-gpu lr?
e.g. pix2pix model default lr = 0.0002(1 batchsize 1 gpu). When I use 16 batchsize and four gpu(4 image per gpu),I think we should set lr = 0.0002 * 16 = 0.0032.
Meanwhile, using WarmupScheduler to avoid gradient exploding problem.
thanks for any help.

lkiani
lkiani commented May 18, 2019

Which images should I use in the evaluation code?
I compared the generated images with Ground truth images and generated images with labels but got an error and the result of all the parameters was zero.
Generated images should be converted to label?
Solving this problem is very important to me.
thank you
![57882413-e101bd00-7838-11e9-8ffe-b0ef87f6e346](https://user-images.githubusercontent.c

akshaydp1995
akshaydp1995 commented Jul 13, 2019

Traceback (most recent call last):
File "train.py", line 45, in
train_display_images_b = torch.stack([train_loader_b.dataset[i] for i in range(display_size)]).cuda()
File "train.py", line 45, in
train_display_images_b = torch.stack([train_loader_b.dataset[i] for i in range(display_size)]).cuda()
File "/content/MUNIT/data.py", line 119, in getitem
pat

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