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[GitHub] [incubator-mxnet] D-Roberts opened a new pull request #17851: [WIP]
[Numpy] np.linalg.qr forward implementation
D-Roberts opened a new pull request #17851: [WIP] [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851
Implement Numpy's qr decomposition. Only forward method for now. For all input shapes (M, N).
Implements the default mode of original Numpy's qr, where Q(M,K) and R(K,N) are returned, with K=min(M,N).
TODO:
- pass CI
- ffi
## Checklist ##
- [ ] Changes are complete (i.e. I finished coding on this PR)
- [ ] All changes have test coverage
- [ ] Code is well-documented
- [ ] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
### Changes ###
- Add QR forward implementation
- Add test
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[GitHub] [incubator-mxnet] D-Roberts commented on issue #17851: [Numpy]
np.linalg.qr forward implementation
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URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-611059075
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np.linalg.qr forward implementation
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np.linalg.qr forward implementation
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[WIP] [Numpy] np.linalg.qr forward implementation
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np.linalg.qr forward implementation
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[GitHub] [incubator-mxnet] D-Roberts commented on issue #17851: [Numpy]
np.linalg.qr forward implementation
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URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-611671380
@haojin2 All work is completed and all CI passed, thanks.
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[GitHub] [incubator-mxnet] D-Roberts commented on issue #17851: [WIP]
[Numpy] np.linalg.qr forward implementation
Posted by GitBox <gi...@apache.org>.
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[GitHub] [incubator-mxnet] haojin2 commented on a change in pull request
#17851: [WIP] [Numpy] np.linalg.qr forward implementation
Posted by GitBox <gi...@apache.org>.
haojin2 commented on a change in pull request #17851: [WIP] [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#discussion_r393969808
##########
File path: python/mxnet/numpy/linalg.py
##########
@@ -291,6 +291,78 @@ def cholesky(a):
return _mx_nd_np.linalg.cholesky(a)
+def qr(a, mode='reduced'):
+ r"""
+ Compute the qr factorization of a matrix a.
+ Factor the matrix a as qr, where q is orthonormal and r is upper-triangular.
+
+ Parameters
+ ----------
+ a : (..., M, N) ndarray
+ Matrix or stack of matrices to be qr factored.
+ mode: {‘reduced’, ‘complete’, ‘r’, ‘raw’, ‘full’, ‘economic’}, optional
+ Only default mode, 'reduced', is implemented. If K = min(M, N), then
+ * 'reduced’ : returns q, r with dimensions (M, K), (K, N) (default)
+
+ Returns
+ -------
+ q : (..., M, K) ndarray
+ A matrix or stack of matrices with K orthonormal columns, with K = min(M, N).
+ r : (..., K, N) ndarray
+ A matrix or stack of upper triangular matrices.
+
+ Raises
+ ------
+ MXNetError
+ If factoring fails.
+
+ Examples
+ --------
+ >>> from mxnet import np
+ >>> a = np.random.uniform(-10, 10, (3, 3))
+ >>> a
+ array([[ 0.9762707 , 1.8568916 , 4.303787 ],
+ [ 6.885315 , 2.0552673 , 7.1589127 ],
Review comment:
would you please fix the alignment of the examples here?
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[GitHub] [incubator-mxnet] haojin2 merged pull request #17851: [Numpy]
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D-Roberts commented on issue #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-609476487
@mxnet-bot run ci [unix-gpu]
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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17851: [Numpy]
np.linalg.qr forward implementation
Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on issue #17851: [Numpy] np.linalg.qr forward implementation
URL: https://github.com/apache/incubator-mxnet/pull/17851#issuecomment-611233576
Jenkins CI successfully triggered : [unix-gpu, centos-gpu, windows-gpu]
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