我无法让矢量化的ufunc运行。常规@njit工作正常,@vectorize documentation表明矢量化装饰器与njit相同。我现在运行的是Windows10,如果这有区别的话
演示程序如下。从下面的输出中,我们可以看到njit函数运行时没有事件,矢量化函数存在类型错误
import sys
import numpy
import numba
Structured = numpy.dtype([("a", numpy.int32), ("b", numpy.float64)])
numba_dtype = numba.from_dtype(Structured)
@numba.njit([numba.float64(numba_dtype)])
def jitted(x):
x['b'] = 17.5
return 18.
@numba.vectorize([numba.float64(numba_dtype)], target="cpu", nopython=True)
def vectorized(x):
x['b'] = 17.5
return 12.1
print('python version = ', sys.implementation.version)
print('numpy version = ', numpy.__version__)
print('numba version = ', numba.__version__)
for struct in numpy.empty((3,), dtype=Structured):
print(jitted(struct))
print(vectorized(numpy.empty((3,), dtype=Structured)))
输出是
python version = sys.version_info(major=3, minor=7, micro=1, releaselevel='final', serial=0)
numpy version = 1.17.3
numba version = 0.48.0
18.0
18.0
18.0
Traceback (most recent call last): File "scratch.py", line 49, in
print(vectorized(numpy.empty((3,), dtype=Structured))) TypeError: ufunc 'vectorized' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
看起来这不受支持,已转换为feature request
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