T5 second GPU offload
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@@ -33,7 +33,9 @@ class T5v11Model(torch.nn.Module):
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else:
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if dtype: model_args["torch_dtype"] = dtype
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self.bnb = False
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# TODO: custom device map?
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# second GPU offload hack part 2
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if device.startswith("cuda"):
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model_args["device_map"] = device
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print(f"Loading T5 from '{textmodel_path}'")
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self.transformer = T5EncoderModel.from_pretrained(textmodel_path, **model_args)
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else:
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