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Set grad enabled if is_train and train_text_encoder
We only want to be enabling grad if we are training.
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@@ -145,7 +145,7 @@ class NetworkTrainer:
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latents = latents * self.vae_scale_factor
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b_size = latents.shape[0]
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with torch.set_grad_enabled(train_text_encoder), accelerator.autocast():
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with torch.set_grad_enabled(is_train and train_text_encoder), accelerator.autocast():
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# Get the text embedding for conditioning
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if args.weighted_captions:
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text_encoder_conds = get_weighted_text_embeddings(
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