Out of curiosity, what’s the fastest way of adding a scalar bias after a convolution?

F.conv1d(x, weight) + eps
F.conv1d(x, weight, torch.tensor(eps, dtype = x.dtype).expand(len(weight)))
F.conv1d(x, weight, torch.full(len(weight), eps, dtype = x.dtype))

Does convolution call .contiguous() on bias before adding?