https://pytorch-geometric.readthedocs.io/en/latest/notes/create_dataset.html
I have already load my data, and split into train and valid. but i need to build them inmemory form, so i can implement repo model on my dataset.
bs = 4
train_loader = DataLoader(train_list, batch_size=bs, shuffle=True, num_workers=6)
test_loader = DataLoader(val_list, batch_size=bs, shuffle=False, num_workers=6),
how could i simply turn my data into inmemorydataset. should i Skip download and process?
can i have some code guidance?