Pytorch: Convert FloatTensor into DoubleTensor

Question

I have 2 numpy arrays, which I convert into tensors to use the TensorDataset object.

import torch.utils.data as data_utils

X = np.zeros((100,30))
Y = np.zeros         


        

Answer 1

This is because in PyTorch, you can not do operations between Tensor of different types. Your data is DoubleTensor, but the model parameter are FloatTensor. So you get this error message. As @mexmex have said, convert data to FloatTensor to make it conform with the model parameter type.

Do not do the other way around! Trying to convert the model to double is greatly discouraged by PyTorch devs as GPUs are not good at double precision computation. Also, floating point is pretty enough for deep learning.