inputs = torch.randn(124, 3, 32, 32)
input1 =torch.randn(111600, 3, 32, 32)
st= time.time()
input1=torch.cat((input1,inputs),0)
print(time.time() - st)

I am trying to concat huge tensors to load it via a dataloader object. It takes about 200 sec to concat them. Is there an efficient way?