[GitHub] ChaiBapchya commented on issue #13944: how to Compute the eigenvalues and eigenvectors of ndarray/hidden layer?

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ChaiBapchya commented on issue #13944: how to Compute the eigenvalues and eigenvectors of ndarray/hidden layer? 
URL: https://github.com/apache/incubator-mxnet/issues/13944#issuecomment-457781413
 
 
   @weihua04 
   Our discussion forum is a good place for these questions. But regardless, here's the answer
   On our documentation - https://mxnet.incubator.apache.org/api/python/ndarray/linalg.html
   `mxnet.ndarray.linalg.syevd` seems to be the function for your usecase.
   
   Documentation on the website also gives the following 2 examples
   ```
   // Single symmetric eigendecomposition
   A = [[1., 2.], [2., 4.]]
   U, L = syevd(A)
   U = [[0.89442719, -0.4472136],
        [0.4472136, 0.89442719]]
   L = [0., 5.]
   
   // Batch symmetric eigendecomposition
   A = [[[1., 2.], [2., 4.]],
        [[1., 2.], [2., 5.]]]
   U, L = syevd(A)
   U = [[[0.89442719, -0.4472136],
         [0.4472136, 0.89442719]],
        [[0.92387953, -0.38268343],
         [0.38268343, 0.92387953]]]
   L = [[0., 5.],
        [0.17157288, 5.82842712]]
   ```
   
   Hope this helps. 

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