which is in text format, I have pre-processed it and then I want to fit a PyTorch LSTM model in it.
To fit the model I have to split the dataset into train and test set, and as PyTorch has a very interesting module called DataLoader to load the dataset, so we could use it. But as soon as I do this -
train_data = TensorDataset(torch.from_numpy(np.array(train_x)), torch.from_numpy(np.array(train_y)))
valid_data = TensorDataset(torch.from_numpy(np.array(valid_x)), torch.from_numpy(np.array(valid_y)))
test_data = TensorDataset(torch.from_numpy(np.array(test_x)), to
