Need help ：make the normal pytorch torch.utils.data.DataLoader & torch.utils.data.dataset class implement in javacpp please

[mullerhai]

Hi ,
Great javacpp coder, as we all know ,the normal model service pipeline , we need to load batch etl model input data, then we can train our model. but now javacpp only supply mnist dataset but not supply the normal pytorch api :torch.utils.data.DataLoader & torch.utils.data.dataset class implement, we can not write user-defined pytorch model dataloader & dataset which extends inherit from the normal pytorch torch.utils.data.DataLoader & torch.utils.data.dataset api. unless make first priority operation to implement them Please , or the javacpp pytorch will can not use in real business online deploy environment ! it is will only became the toy for ml beginner or lab . eagerly need the dataloader and dataset pytorch api in javacpp.
Best Regards

[saudet]

Duplicate of #1215