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Fix data-api links (#20879)
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bgawrych authored Feb 9, 2022
1 parent 3507db2 commit e7cee79
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2 changes: 1 addition & 1 deletion python/mxnet/ndarray/numpy/linalg.py
Original file line number Diff line number Diff line change
Expand Up @@ -457,7 +457,7 @@ def cholesky(a, upper=False):
Notes
-----
`upper` param is requested by API standardization in
https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-cholesky-x-upper-false
https://data-apis.org/array-api/latest/extensions/generated/signatures.linalg.cholesky.html
instead of parameter in official NumPy operator.
Return the Cholesky decomposition, `L * L.T`, of the square matrix `a`,
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6 changes: 3 additions & 3 deletions python/mxnet/numpy/linalg.py
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def matrix_rank(M, rtol=None, hermitian=False):
Notes
-----
`rtol` param is requested in array-api-standard in
https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-matrix-rank-x-rtol-none
https://data-apis.org/array-api/latest/extensions/generated/signatures.linalg.matrix_rank.html
instead of a parameter in official NumPy operator.
Parameters
Expand Down Expand Up @@ -518,7 +518,7 @@ def pinv(a, rtol=None, hermitian=False):
Notes
-----
`rtol` param is requested in array-api-standard in
https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-pinv-x-rtol-none
https://data-apis.org/array-api/latest/extensions/generated/signatures.linalg.pinv.html
instead of a parameter in official NumPy operator.
Parameters
Expand Down Expand Up @@ -830,7 +830,7 @@ def cholesky(a, upper=False):
Notes
-----
`upper` param is requested by API standardization in
https://data-apis.org/array-api/latest/extensions/linear_algebra_functions.html#linalg-cholesky-x-upper-false
https://data-apis.org/array-api/latest/extensions/generated/signatures.linalg.cholesky.html
instead of parameter in official NumPy operator.
Return the Cholesky decomposition, `L * L.T`, of the square matrix `a`,
Expand Down

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