Forked from rakhuba/gist:8473f254b91888961d92030889073001
          
        
    
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          May 21, 2018 06:19 
        
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  | def _reshape(a, size): | |
| return a.reshape(size, order='f') | |
| rx1, rx2, ry1, ry2, ra1, ra2, n, l, m = 40, 40, 40, 40, 100, 100, 8, 8, 8 | |
| x = np.ones((rx1, n, rx2)) | |
| y = np.ones((ry1, n, ry2)) | |
| A = np.ones((ra1, n, l, ra2)) | |
| interface_prev = np.ones((rx1, ry1*ra1**2)) | |
| # Variant 1: via reshape + transpose | |
| Phi = _reshape(interface_prev, (rx1, ry1*ra1**2)) | |
| Phi = x.T.dot(Phi) | |
| Phi = _reshape(Phi, (n*rx2*ry1*ra1, ra1)) | |
| Phi = Phi.T | |
| Phi = _reshape(Phi, (ra1*n, rx2*ry1*ra1)) | |
| A_curr = _reshape(np.transpose(A, [0, 2, 1, 3]), (ra1*n, l*ra2)) | |
| Phi = A_curr.T.dot(Phi) | |
| Phi = _reshape(Phi, (l, ra2*rx2*ry1*ra1)) | |
| Phi = Phi.T | |
| Phi = _reshape(Phi, (ra2*rx2*ry1, ra1*l)) | |
| A_curr = _reshape(A, (ra1*l, m*ra2)) | |
| Phi = Phi.dot(A_curr) | |
| Phi = _reshape(Phi, (ra2*rx2, ry1*m*ra2)) | |
| Phi = Phi.T | |
| Phi = _reshape(Phi, (ry1*m, ra2**2*rx2)) | |
| Phi = Phi.T | |
| y = _reshape(y, (ry1*m, ry2)) | |
| Phi = Phi.dot(y) | |
| Phi = _reshape(Phi, (ra2**2, rx2*ry2)) | |
| Phi = Phi.T | |
| Phi = _reshape(Phi, (rx2, ry2, ra2, ra2)) | |
| # Variant 2: via tensordot | |
| interface_prev = np.ones((rx1, ry1, ra1, ra1)) | |
| x1 = _reshape(x, (rx1, n, rx2)) | |
| y1 = _reshape(y, (ry1, m, ry2)) | |
| Phi1 = np.tensordot(interface_prev, x1, axes=([0], [0])) #(ax, ay, mu1, mu2) (ax, n, bx) -> (ay, mu1, mu2, n, bx) | |
| Phi1 = np.tensordot(Phi1, np.transpose(A, [0, 2, 1, 3]), axes=([1, 3], [0, 1])) # (ay, mu1, mu2, n, bx) (mu1, n, l, nu1) -> (ay, mu2, bx, l, nu1) | |
| Phi1 = np.tensordot(Phi1, A, axes=([1, 3], [0, 1])) # (ay, mu2, bx, l, nu1) (mu2, l, m, nu2) -> (ay, bx, nu1, m, nu2) | |
| Phi1 = np.tensordot(Phi1, y1, axes=([0, 3], [0, 1])) # (ay, bx, nu1, m, nu2) (ay, m, by) -> (bx, nu1, nu2, by) | |
| Phi1 = np.transpose(Phi1, [0, 3, 2, 1]) | 
  
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