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Google Colab #118

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galoisgroupcn opened this issue Apr 18, 2019 · 3 comments
Closed

Google Colab #118

galoisgroupcn opened this issue Apr 18, 2019 · 3 comments

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@galoisgroupcn
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galoisgroupcn commented Apr 18, 2019

@junyanz
Hello Dr. Zhu!

I'm quite impressed by your work. Do you think this repo can be successfully run on Google Colab?

Problem is, Colab goes with CUDA 10 (cannot downgrade) which does not work with Torch. There's a way to build Torch with CUDA 10 though, but must be hard to implement on Colab.

torch/cutorch#834

-- Do you think Nvidia GTX 1050 (2GB RAM) can run this repo?

Look forward to your reply.

Thank you,

Amber Ji

@junyanz
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junyanz commented Apr 18, 2019

  • Colab: There is a Colab for CycleGAN.
  • GTX 1050 (2GB) might not be enough. I recommend a GPU with 8GB++.

@israrbacha
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israrbacha commented Aug 7, 2019

Hello Mr.junyanz
i am doing my master's research in I2I using GANs, i am planning to use cycleGAN as a baseline model but i am confused about the improvements because alot of work is done in this side like multi-model image2image translation which disentangle the content and style latent space, some use the idea of random noise, some used shared weights in encoder-decoder etc. do you have any suggestion for me like how to improve? thanks

@junyanz
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junyanz commented Aug 7, 2019

These are all good ideas. I don't have a concrete idea on how to improve at this moment.

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