python - multiplication of 3-dimensional matrix in numpy -

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I think I had asked yesterday. What I really want is to change the two 2x2xN matrix a and b so that 

  c [: For example, if I have a matrix I <= p>    pre>  A = N.P. range (12) .Reship (2, 2, 3 )   
 How can I get  C = A x A  Define the definition above? Is there an underlying task to do this?  
 
 In addition, if I type with  A (size 2x2xN)  with  B (in size of 2x2x1, N) , i    Try to use div> 
 
 
  numpy.einsum , it's a little bit in the learning curve, but You have to give an example that you want to get started here. Import  
  like np a = np.random.random ((2, 2, 3)) B = np.random.random ((2, 2, 3)) C1 = NP (3,): (1,,,,,,,,,,, ) C2 = N.P.EnSam ('Aijan, JNAN- & gt; Icon', A, B) NP Oculus (C1, C2)

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