Solved by ptrblck in post #2 
              
              
                Yes, it should give the same results. 
Here is a small script to reproduce this: 
x = torch.randn(1024,9,128)

conv1d = nn.Conv1d(9, 1, 2)
conv2d = nn.Conv2d(9, 1, (2, 1))
with torch.no_grad():
    conv2d.weight.copy_(conv1d.weight.unsqueeze(3))
    conv2d.bias.copy_(conv1d.bias)

output1d = conv1d(…