hi ,is there a way to get the class  and the original name of the tranfrom image,when using the model(x) code
to forward  torch.utils.data.DataLoader  as  an  input
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
                                     std=[0.229, 0.224, 0.225])

val_loader = torch.utils.data.DataLoader(
        datasets.ImageFolder(valdir, transforms.Compose([
            transforms.Scale(256),
            transforms.CenterCrop(224),
            transforms.ToTensor(),
            normalize,
        ])),
      batch_size=1, shuffle=False,
        num_workers=4, pin_memory=True)

a torch.utils.data.DataLoader  is created here
and  i  want  to get the input result:
for i, (input, target) in enumerate(val_loader):
target_var = torch.autograd.Variable(target)
target = target.cuda(async=True)
x = torch.autograd.Variable(input, volatile=True)
target_var = torch.autograd.Variable(target, volatile=True)

#want to print the input  varialbe’s imagename and classes here,how?
f2=model(x)
i want to print the  input  varialbe’s imagename and classes before code model(x)
many thanks!