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ensure data is on same device as the model
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@ -45,5 +45,6 @@ class BasePyTorchRegressor(BasePyTorchModel):
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device=self.device
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)
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y = self.model.model(x)
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y = y.cpu()
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pred_df = DataFrame(y.detach().numpy(), columns=[dk.label_list[0]])
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return (pred_df, dk.do_predict)
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@ -143,8 +143,8 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
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"""
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data_loader_dictionary = {}
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for split in splits:
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x = self.data_convertor.convert_x(data_dictionary[f"{split}_features"])
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y = self.data_convertor.convert_y(data_dictionary[f"{split}_labels"])
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x = self.data_convertor.convert_x(data_dictionary[f"{split}_features"], self.device)
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y = self.data_convertor.convert_y(data_dictionary[f"{split}_labels"], self.device)
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dataset = TensorDataset(*x, *y)
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data_loader = DataLoader(
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dataset,
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