[Numpy-discussion] confused about tensordot

In the following code c = np.multiply (a, b.conj()) d = np.abs (np.sum (c, axis=0)/rows) d2 = np.abs (np.tensordot (a, b.conj(), ((0,),(0,)))/rows) print a.shape, b.shape, d.shape, d2.shape The 1st compute steps, where I do multiply and then sum give the result I want. I wanted to try to combine these 2 steps using tensordot, but it's not doing what I want. The print statement outputs this: (1004, 13) (1004, 13) (13,) (13, 13) The correct output should be (13,), but the tensordot output is (13,13). It's supposed to take 2 matrixes, each (1004, 13) and do element-wise multiply, then sum over axis 0.