feat(ml): add lambda#661
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beniz
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Jun 20, 2024
| visual_names_B = ["real_B"] | ||
| self.visual_names.append(visual_names_A) | ||
| self.visual_names.append(visual_names_B) | ||
| self.variable1 = 0.6 |
beniz
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Jun 20, 2024
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| # Save the config file when --save_config is passed | ||
| is_config_saved = False | ||
| is_config_saved = True # False |
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If i don not set this into True, I can not have train_config.json file, then, can not do the inference. I'll see if there has other ways
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There has no config_save option description in the joliGEN.
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I think I do not fully get your idea to "add lambda_gan to self and then to visual_names for it to be plotted." I thought lambda_gan should appear in a separate Visdom window? P.S.: This modification does not display the lambda, and I do not get why use detach here. since in the loss.py , the fake image tensor has already get detached for calculation. |
royale
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Jul 26, 2024
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add function lambda into cm_gan_model
The training works with the following command line
The inference works with the following command line