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The generator is pre-trained and I used the dual discriminator just like:
ag3d_discriminator = legacy.load_network_pkl(f)['D'].to(args.device)
output = G.only_synthesis(ws=ws, c=c, truncation_psi=…
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During the training process, I encountered the following warning outputs:
```
Sanity Checking DataLoader 0: 0%| …
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It appears that DataMapper.auto_upgrade! is attempting to re-create the columns of a base STI model, for every descendent of that base model. This results in duplicate column errors when calling auto_…
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Hi there, I hope to try discriminator-based PPLM with different sizes of GPT2. To do this, I believe we need to retrain the discriminator with a different embedding size using the `paper_code/gpt2tune…
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Hey, thanks for contributing. Your work is awesome. I tried to find the USRGan and USR-tiny models training support, but didn't get any of these? Is there any support for this currently?
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We need to support the polymorphic response at the nested list (2nd layer response - from the data model). Clients should handle the different type of objects inside the lists as long as they have dis…
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I was trying your code on A Mac OS machine and I got this error in python 2.7:
ValueError: Variable discriminator/conv1/weights/Adam/ already exists, disallowed. Did you mean to set reuse=True in V…
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Here is a conversation I had with GitHub Copilot Chat in VSCode when I noticed now, and it has done in the past that it was providing a solution that had not worked previously, and it is now suggestin…
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#### Bug Report Checklist
- [x] Have you provided a full/minimal spec to reproduce the issue?
- [x] Have you validated the input using an OpenAPI validator ([example](https://apidevtools.org/swagg…
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In your paper _**Learning to Adapt Structured Output Space for Semantic Segmentation**_ loss_adv is designed to train the segmentation network and fool the discriminator by maximizing the probability…