haojin2 commented on a change in pull request #18020: [Numpy] Add op
linalg.matrix_rank
URL: https://github.com/apache/incubator-mxnet/pull/18020#discussion_r407018468
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File path: python/mxnet/symbol/numpy/linalg.py
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@@ -23,7 +23,40 @@
from . import _internal as _npi
__all__ = ['norm', 'svd', 'cholesky', 'qr', 'inv', 'det', 'slogdet', 'solve',
'tensorinv', 'tensorsolve',
- 'pinv', 'eigvals', 'eig', 'eigvalsh', 'eigh', 'lstsq']
+ 'pinv', 'eigvals', 'eig', 'eigvalsh', 'eigh', 'lstsq',
'matrix_rank']
+
+
+def matrix_rank(M, tol=None, hermitian=False):
+ """
+ Return matrix rank of array using SVD method
+
+ Rank of the array is the number of singular values of the array that are
+ greater than `tol`.
+
+ Parameters
+ M : {(M,), (..., M, N)} symbol
Review comment:
`_Symbol`, same for below.
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