If conv filter size and input size are mismatch, what happen?

the network input is 3x112x112 (RGB, x,y), and zero padding (3,3), and filter is 7x7, stride 2.
then, the network will actually perform a 7x7 filter, stride 2 operation on the 3x118x118. but, maybe, last 1 padding remains.
what happen?
output is 56x56? or 57x57?

Output will be 56x56.

import torch
m = torch.nn.Conv2d(in_channels=3, out_channels =3, kernel_size=7, stride=2, padding=3)
input = torch.randn(1,3,112,112)
output = m(input)
# torch.Size([1, 3, 56, 56])

yes, i get same result.
but, the remain 1 zero padding is where?
not used?

Have a look at the last animation here.
One side of the padding is used, while the other will be dropped.