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Fix dtype issue in PyTorch 2.0 for generating samples in training sdxl network
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@@ -925,7 +925,7 @@ class SdxlStableDiffusionLongPromptWeightingPipeline:
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unet_dtype = self.unet.dtype
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dtype = unet_dtype
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if dtype.itemsize == 1: # fp8
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if hasattr(dtype, "itemsize") and dtype.itemsize == 1: # fp8
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dtype = torch.float16
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self.unet.to(dtype)
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