I have a tensor with size: torch.Size([1, 305760])
Since 305760
is not divisible by 400, I want to change the size to: [1, 306000]
filling the remaining spaces with 0
. How can I do this with PyTorch?
I have a tensor with size: torch.Size([1, 305760])
Since 305760
is not divisible by 400, I want to change the size to: [1, 306000]
filling the remaining spaces with 0
. How can I do this with PyTorch?
a = torch.randn(1,305760)
N = a.shape[1]
M = 400
b = torch.zeros([a.shape[0], (N // M + 1 ) * 400 - N])
a = torch.cat((a, b), 1)
You'll need to implement a rounding function that lets you specify the base you want to round to. This should work:
def myround(x, base):
return base * -(-x // base)
torch.Size([1, myround(305760,400)])
Basing this off the following question but modified to force rounding up.