[英]Typing error during njit compilation when providing explicit types with numba
我正在嘗試使用“ nopython”模式在python中編譯jit函數。 當我不通過簡單地使用@numba.njit
裝飾器提供類型信息時,該函數就會編譯。
這是應用裝飾器並包含鍵入信息的函數定義:
from numba import njit, float64, int64
@njit(float64(float64, int64))
def PowerCurve(flow, head):
if head==326:
if flow<(10.788/3.03): #speed no load approximation
return 0
else:
return 3.03*flow - 10.788 #approximating power for each gross head using equation to avoid interpolation
elif head==328:
if flow<(10.939/3.0525):
return 0
else:
return 3.0525*flow - 10.969
elif head==330:
if flow<(10.982/3.0683):
return 0
else:
return 3.0683*flow - 10.982
elif head==332:
if flow<(11.006/3.0842):
return 0
else:
return 3.0842*flow - 11.006
elif head==334:
if flow<(11.025/3.1001):
return 0
else:
return 3.1001*flow - 11.025
elif head==336:
if flow<(11.043/3.116):
return 0
else:
return 3.116*flow - 11.043
elif head==338:
if flow<(11.063/3.1317):
return 0
else:
return 3.1317*flow - 11.063
elif head==340:
if flow<(11.086/3.1477):
return 0
else:
return 3.1477*flow - 11.086
elif head==342:
if flow<(11.103/3.1636):
return 0
else:
return 3.1636*flow - 11.103
elif head==344:
if flow<(11.135/3.1798):
return 0
else:
return 3.1798*flow - 11.135
elif head==346:
if flow<(11.315/3.2021):
return 0
else:
return 3.2021*flow - 11.315
elif head==348:
if flow<(11.344/3.2181):
return 0
else:
return 3.2181*flow - 11.344
當我運行這段代碼而不調用函數時,出現以下錯誤:
Traceback (most recent call last):
File "Optimize.py", line 516, in <module>
@njit(float64(float64, int64))
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\decorators.py", line 199, in wrapper
disp.compile(sig)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\dispatcher.py", line 579, in compile
cres = self._compiler.compile(args, return_type)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\dispatcher.py", line 80, in compile
flags=flags, locals=self.locals)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 740, in compile_extra
return pipeline.compile_extra(func)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 360, in compile_extra
return self._compile_bytecode()
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 699, in _compile_bytecode
return self._compile_core()
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 686, in _compile_core
res = pm.run(self.status)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 246, in run
raise patched_exception
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 238, in run
stage()
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 452, in stage_nopython_frontend
self.locals)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\compiler.py", line 841, in type_inference_stage
infer.propagate()
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 773, in propagate
raise errors[0]
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 129, in propagate
constraint(typeinfer)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 154, in __call__
typeinfer.copy_type(self.src, self.dst, loc=self.loc)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 791, in copy_type
unified = self.typevars[dest_var].union(self.typevars[src_var], loc=loc)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 83, in union
self.add_type(other.type, loc=loc)
File "C:\Users\patri\Miniconda3\lib\site-packages\numba\typeinfer.py", line 47, in add_type
loc=loc)
numba.errors.TypingError: Failed at nopython (nopython frontend)
No conversion from none to float64 for '$442.2', defined at None
File "Optimize.py", line 577
[1] During: typing of assignment at Optimize.py (577)
該錯誤消息所引用的函數行包括: return 3.2181*flow - 11.344
。 當我調試此函數時,我注意到此行的flow
值為None
。 誰能告訴我我在這里做錯了什么以及如何包含鍵入信息?
如果未給出最終return
則每個Python函數隱式返回None
。 這就是為什么它說No conversion from none to float64
。 Numba和Python不能確定您總是傳遞與任何分支匹配的head
,然后它將返回None
。 但是使用您指定的簽名,它只能返回float64
!
在您的情況下(如果不是疏忽),只需在所有if
和elif
分支之后添加return 0.
。
...
elif head==348:
if flow<(11.344/3.2181):
return 0
else:
return 3.2181*flow - 11.344
return 0
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.