sjtuWangDing commented on a change in pull request #16913: [numpy] add op
linalg solve
URL: https://github.com/apache/incubator-mxnet/pull/16913#discussion_r353575642
##########
File path: python/mxnet/ndarray/numpy/linalg.py
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@@ -352,3 +352,57 @@ def slogdet(a):
(1., -1151.2925464970228)
"""
return _npi.slogdet(a)
+
+
+def solve(a, b):
+ r"""
+ Solve a linear matrix equation, or system of linear scalar equations.
+
+ Computes the "exact" solution, `x`, of the well-determined, i.e., full
+ rank, linear matrix equation `ax = b`.
+
+ Parameters
+ ----------
+ a : (..., M, M) ndarray
+ Coefficient matrix.
+ b : {(..., M,), (..., M, K)}, ndarray
+ Ordinate or "dependent variable" values.
+
+ Returns
+ -------
+ x : {(..., M,), (..., M, K)} ndarray
+ Solution to the system a x = b. Returned shape is identical to `b`.
+
+ Raises
+ ------
+ LinAlgError
Review comment:
If the input is singular, cblas function will raise error. If the input is
not square, shape inference will raise error
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