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| author | Warren Weckesser <warren.weckesser@gmail.com> | 2013-07-19 21:09:45 -0400 |
|---|---|---|
| committer | Warren Weckesser <warren.weckesser@gmail.com> | 2013-07-19 21:09:45 -0400 |
| commit | ffb45c5f107795752a55976b185ed50784aed744 (patch) | |
| tree | bc15646bbbd813d26a37f7fc8b1cc3906d1c65ad | |
| parent | c5694c5188c76701eed47c0736ee9c285f47d07d (diff) | |
| download | numpy-ffb45c5f107795752a55976b185ed50784aed744.tar.gz | |
BUG: linalg: norm was computing and then ignoring a product
| -rw-r--r-- | numpy/linalg/linalg.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 4c4e51748..53b505756 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -2029,8 +2029,7 @@ def norm(x, ord=None, axis=None): # Check the default case first and handle it immediately. if ord is None and axis is None: - s = (x.conj() * x).real - return sqrt(add.reduce((x.conj() * x).ravel().real)) + return sqrt(add.reduce((x.conj() * x).real, axis=None)) # Normalize the `axis` argument to a tuple. if axis is None: |