I am confused by the nn.Conv2D output shape.  My hand calculations don’t match what the documentation says the output shape should be.
Take an input FloatTensor x  with torch.Size = [10, 512, 8, 16] in NCHW order. If:

in channels cin = 512
out channels cout = 128
number of filters f = 128
size of filters k = 1
stride s = 1
padding p = 1
height in h = 8
dilation d = 1

The API says that the height out should be
floor((h + 2*p - d *(k-1) -1 )/(s+1))
= floor((8 + 2 - 0 -1)/2)
= 4

but when I run the code height out = 10.
What am I missing?