I’m try to do some machine learning with pyTorch C++. I got own datasets in .csv files, after loading them I receive eg. [N,M] 2D std::vector with N samples and M features and [N,] 1D std::vector with N labels.
My question is, what should I do to create proper dataset to use torch::data::make_data_loader method (or other) and learn my NN.
Thanks in advance!