[Numpy-discussion] confused about tensordot

[Neal Becker]

Bradley M. Froehle wrote:

> Hi Neal:
> 
> The tensordot part:
>   np.tensordot (a, b.conj(), ((0,),(0,))
> 
> is returning a (13, 13) array whose [i, j]-th entry is   sum( a[k, i] *
> b.conj()[k, j] for k in xrange(1004) ).
> 
> -Brad
> 
> 
> 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.
>>

Can I use tensordot to do what I want?