I have a 3d tensor A = [5, 12, 12] and a 2d tensor B = [5, 12]
So basically 5 2d tensors and 5 1d tensors
And I want to multiply them to get a 2d tensor C = [5, 12]
i.e. I want to multiply every 1d tensor with every 2d tensor to get a 1d tensor and then stack them to get a 2d tensor.
I did something that I thought would work, but I am not getting the desired result.
def mul(A: torch.tensor, B: torch.tensor) -> torch.tensor: t_res =  for i in range(len(A): t_res.append(B[i].matmul(Ai])) return torch.stack(tuple(t_res), dim = 0)
Is there a better/easier way to do this?