I’m using Conv1d to process input which is in the format [batch_size, Nc, Nh, Nw].

```
m = nn.Conv1d(16, 2, 3, stride=2)
input = torch.randn(20, 16, 50, 50)
output = m(input)
```

It gives the following error:

RuntimeError: Expected 3-dimensional input for 3-dimensional weight 33 16 3, but got 4-dimensional input of size [20, 16, 50, 50] instead

I want to reduce the 50x50x16(height, width, channel) to 50x50x2(height, width, channel). How can this be done? Thanks in advance!!!