如何在numba.jit函数中测量时间? [英] How to measure time in numba.jit function?
本文介绍了如何在numba.jit函数中测量时间?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想将常规循环
转换为 numba.jit
函数,并在内部测量其处理时间.我尝试使用 time
模块,但它似乎与numba不兼容.
I want to convert a conventional loop
into a numba.jit
function and measure time of its processes internally. I tried using time
module but it doesn't seem to be compatible with numba.
代码:
from numba import jit, jitclass
import time
@jit(nopython=True)
def harmonic_load_flow_func():
time1 = time.perf_counter()
calc = 0
for x in range(1000000):
calc += x
print('time: {}'.format(time.perf_counter() - time1))
if __name__ == '__main__':
for count in range(10):
harmonic_load_flow_func()
输出:
C:\Users\Artur\Anaconda\python.exe C:/Users/Artur/Desktop/RL_framework/help_functions/test.py
Traceback (most recent call last):
File "C:/Users/Artur/Desktop/RL_framework/help_functions/test.py", line 14, in <module>
harmonic_load_flow_func()
File "C:\Users\Artur\Anaconda\lib\site-packages\numba\core\dispatcher.py", line 401, in _compile_for_args
error_rewrite(e, 'typing')
File "C:\Users\Artur\Anaconda\lib\site-packages\numba\core\dispatcher.py", line 344, in error_rewrite
reraise(type(e), e, None)
File "C:\Users\Artur\Anaconda\lib\site-packages\numba\core\utils.py", line 80, in reraise
raise value.with_traceback(tb)
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Unknown attribute 'perf_counter' of type Module(<module 'time' (built-in)>)
File "test.py", line 6:
def harmonic_load_flow_func():
time1 = time.perf_counter()
^
[1] During: typing of get attribute at C:/Users/Artur/Desktop/RL_framework/help_functions/test.py (6)
File "test.py", line 6:
def harmonic_load_flow_func():
time1 = time.perf_counter()
^
Process finished with exit code 1
推荐答案
是的,它不支持时间模块.
Yeah, it does not support the time module.
您可以使用 objmode()
或使用简单的python函数包装整个调用并测量:
You can either use objmode()
or wrap the whole call with plain python function and measure:
from numba import jit, objmode
import time
@jit(nopython=True)
def harmonic_load_flow_func_time_inside():
with objmode(time1='f8'):
time1 = time.perf_counter()
calc = 0
for x in range(1000000):
calc += x
with objmode():
print('time: {}'.format(time.perf_counter() - time1))
@jit(nopython=True)
def harmonic_load_flow_func():
calc = 0
for x in range(1000000):
calc += x
def main_time_inside():
for _ in range(10):
harmonic_load_flow_func_time_inside()
def main_time_outside():
for _ in range(10):
time1 = time.perf_counter()
harmonic_load_flow_func()
print('time: {}'.format(time.perf_counter() - time1))
if __name__ == '__main__':
print("measuring time inside the function")
main_time_inside()
print("measuring time from outside")
main_time_outside()
这篇关于如何在numba.jit函数中测量时间?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文