Hi, I’m new to Pytorch.
I want to train Autoencoder and Denoising Autoencoders with my 30k complex number array data.
I saved every single array(1,480,480) as npy.
How should I make a data loader for AE and DAE with this data?
I mean, I tried to put it into one list (yeah list with 30k elements) make a tensor from this, it failed.
My complex number arrays represent images after FFT.
I will be grateful for any clue how to work with this data in PyTorch.