I am a little confuse regarding applying temporal convolution on the 1D data and appreciate it if someone can help me understand if I am doing it right.
I have temporal data (x) in shape of B x C x T (batch,channels,times). If I define conv=nn.conv1d(C,C,3), would it means that I am applying convolution temporally with kernel 3 on the temporal dimension when I do conv(x)?