RuntimeError: Input and hidden tensors are not the same dtype, found input tensor with Float and hidden tensor with Double

Hey everyone. I’m dealing with an issue regarding data type mismatch, and I’m not sure how I could solve this. It says my inputs are of type float, but I have made sure to cast them to a double. Here is my dataset class:

class OsicDataset(Dataset):
    def __init__(self, df_list):
        self.df_list = df_list
        self.seq_list = self.preprocess() = self.seq_list[0].columns[-1]
        self.features = self.seq_list[0].columns[1:-1]
        self.transforms = transforms.Compose([

    def __len__(self):
        return len(self.seq_list)

    def __getitem__(self, idx):
        X = torch.from_numpy(np.array(self.seq_list[idx][self.features].values)).float()
        y = torch.from_numpy(np.array(self.seq_list[idx][].values[-1])).float()

        img_paths = glob.glob('/kaggle/input/osic-pulmonary-fibrosis-progression/train/' + self.seq_list[idx]['Patient'].values[0] + '/*.dcm')
        img = self.get_img(np.random.choice(img_paths))
        img = self.transforms(img)

        return {
            'X': X.type(torch.double),
            'img': img.type(torch.double),
            'y': y.type(torch.double),

    def preprocess(self):
        cleaned_df_list = []
        for df in self.df_list:
            df_clean = df.dropna()
            df_clean['FVC'] = (df_clean['FVC'] - fvc_mean) / fvc_std
            df_clean = self.shift(df_clean)
            df_clean = df_clean.reset_index(drop=True)
        seq_list = []
        for df in cleaned_df_list:
            for i in range(len(df) - sequence_len):
                seq = df.iloc[i:i+sequence_len]
        return seq_list

    def shift(self, x: pd.DataFrame):
        x['Weeks(t+1)'] = x['Weeks'].shift(-1)
        x['FVC(t+1)'] = x['FVC'].shift(-1)
        x = x.iloc[:-1]
        return x

    def get_img(self, path):
        ds = dcmread(path)
        pxls = (ds.pixel_array - ds.RescaleIntercept) / (ds.RescaleSlope * 1000)
        return cv2.resize(pxls, (224, 224))

Any help in this regard would be greatly appreciated.

You probably need to set your variables to float32 type. I think torch uses float as foundational type.
I see you using double type for the outputs of getitem. Hope it fix that.