Efficient way to concat huge tensors

1 
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?

2

I would be surprised if torch.cat was not already heavily optimised.

3

It takes 1.0 second for me on my MacBook Pro.
Can you tell us how you installed PyTorch and what OS you are running on?

4

I am running Pytorch 0.3.1.post2

2015 Macbook Pro— macOS Sierra…

I also tried this approach

inputs = torch.randn(124, 3, 32, 32)
input1 =torch.randn(124, 3, 32, 32)
target1 = targets
for i in range(1,100):
	input1=torch.cat((input1,inputs),0)
print input1