Memory Error when training the model

[mustaeenqazi]

Hi Deepak, Thanks for the amazing code, a small issue, when i start training the model with your simplified version of code, the Ram gets exhausted. although i have 12GB ram on my google colab, I tried reducing the size of images but no results

[hongyanghu]

have you solve the problem?pls

[rcbrigg]

I had the same problem. What batch size are you using? Reducing that should help. I also halved the number of neurons in the dense layers and number of filters in the conv layers, which of course will impact performance.

[mustaeenqazi]

The problem is solved by using small batch size and lower number of images. but you can also try to upgrade your memory.

[BassantTolba1234]

Dear Sir,
Brilliant work , thank you for sharing your code..
Please, according to your GPU version what the time did you take to finish training your network ??
I'm waiting for your fast reply..

[BassantTolba1234]

Dear Sir,
Brilliant work , thank you for sharing your code..
Please, according to your GPU version what the time did you take to finish training your network ??
I'm waiting for your fast reply..

[BassantTolba1234]

Please all,
I need the code of implementation this part
the part is

{The SRResNet networks
were trained with a learning rate of 10−4 and 106 update
iterations. We employed the trained MSE-based SRResNet
network as initialization for the generator when training
the actual GAN to avoid undesired local optima.{

[MuterDear]

Could you please tell me which size of your image before super resolution?