data_preprocess = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
def preprocess_input(img):
print(img.shape)
x = data_preprocess(img)
x.unsqueeze_(0)
x.to(device)
print("x.size(): ",x.size(),x.type())
return x
output:
(375, 500, 3)
x.size(): torch.Size([1, 3, 375, 500]) torch.FloatTensor
Hence getting the Error:
RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same