ChaiBapchya edited a comment 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]] ``` where `U` is orthonormal matrix of eigenvectors, `L` is vector of eigenvalues Hope this helps.
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