Does plugging in a 1 dimensional data through Conv2d with kernal size (n,1) give the same result as a Conv 1d?
For sake of illustration, say we have an input with (1024,9,128) and a Conv1d layer with a kernel size of 2. Instead of passing this through a Conv1d, Can I instead pass it through Conv2D with an input size of (1024,9,128,1) and a kernel size of (2,1). Will it give me the same result in both cases. If so, what is the exact purpose of Conv1d