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-rw-r--r--numpy/linalg/linalg.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py
index db3484604..5d632fed7 100644
--- a/numpy/linalg/linalg.py
+++ b/numpy/linalg/linalg.py
@@ -22,7 +22,7 @@ from numpy.core import array, asarray, zeros, empty, transpose, \
intc, single, double, csingle, cdouble, inexact, complexfloating, \
newaxis, ravel, all, Inf, dot, add, multiply, sqrt, maximum, \
fastCopyAndTranspose, sum, isfinite, size, finfo, errstate, \
- geterrobj, float128, rollaxis, amin, amax
+ geterrobj, longdouble, rollaxis, amin, amax
from numpy.lib import triu, asfarray
from numpy.linalg import lapack_lite, _umath_linalg
from numpy.matrixlib.defmatrix import matrix_power
@@ -2058,9 +2058,9 @@ def norm(x, ord=None, axis=None):
ord + 1
except TypeError:
raise ValueError("Invalid norm order for vectors.")
- if x.dtype != float128:
+ if x.dtype.type is not longdouble:
# Convert to a float type, so integer arrays give
- # float results. Don't apply asfarray to float128 arrays,
+ # float results. Don't apply asfarray to longdouble arrays,
# because it will downcast to float64.
absx = asfarray(abs(x))
return add.reduce(absx**ord, axis=axis)**(1.0/ord)