Comments (5)
how big is your gpu memory? You may want to use smaller images and smaller models. ( --loadSize 143 --fineSize 128 --which_model_netD basic_128_multi --which_model_netD2 basic_128_multi --which_model_netG unet_128 --which_model_netE resnet_128
)
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Thank you for your reply.My gpu memory is only 3G.According to your suggestion, I modified the memory but the problem is still not resolved.
from bicyclegan.
Could you give more details about your current problem?
from bicyclegan.
These warnings are related to visdom. Try python -m visdom.server
. See this post for more details.
from bicyclegan.
Thank you so much.I have solved this problem with your help.
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Related Issues (20)
- Why does not large batch size like 128, 256 work well?
- Hi, please help me.
- Very Large Images
- Why my LPIPS distance is larger than what your paper say? HOT 3
- Question about conditional_D implementation HOT 3
- Not clear in the difference between the two latent spaces predicted HOT 5
- Test on single images HOT 1
- Compute graph wrong and one question HOT 4
- test_before_push is a great rapid test file, but seems outdated? HOT 3
- Metric reporting HOT 1
- Question about Encoder in cLR-GAN HOT 1
- Question about generating fake_B_random
- Question: Do you need two separate discriminators? HOT 2
- Incorrect discriminator update for opt.use_same_D HOT 1
- Regarding Training your Own Images HOT 4
- How to train on large images?
- Is there <pix2pix+noise> model code that can be directly run? HOT 1
- diversity question
- TypeError: __init__() got an unexpected keyword argument 'nl_layer'
- Regarding Latent Space Interpolation
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