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我在GPU中用math.log计算对数，这是Supported Python features in CUDA Python之一。但失败了。如何在GPU中计算对数（python3.5 + numba + CUDA8.0）
我的代码：
import os,sys,time,math
import pandas as pd
import numpy as np
from numba import cuda, float32
import os
bpg = (3,1)
tpb = (2,3)
@cuda.jit
def calcu_T(D,T):
bx = cuda.blockIdx.x
tx = cuda.threadIdx.x
ty = cuda.threadIdx.y
c_num = D.shape[1]
ml = math.log(D[tx,ty],2)
D = np.array([[ 0.42487645,0.41607881,0.42027071,0.43751907,0.43512794,0.43656972,0.43940639,0.43864551,0.43447691,0.43120232],
[2.989578,2.834707,2.942902,3.294948,2.868170,2.975180,3.066900,2.712719,2.835360,2.607334]], dtype=np.float32)
T = np.empty([1,1])
dD = cuda.to_device(D)
dT = cuda.device_array_like(T)
calcu_T[bpg, tpb](dD,dT)
错误报告：
Traceback (most recent call last):
File "G:\myworkspace\python3.5\forte\forte170327\test7.py", line 104, in <module>
calcu_T[bpg, tpb](dD,dT)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 701, in __call__
kernel = self.specialize(*args)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 712, in specialize
kernel = self.compile(argtypes)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 727, in compile
**self.targetoptions)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 36, in core
return fn(*args, **kwargs)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 75, in compile_kernel
cres = compile_cuda(pyfunc, types.void, args, debug=debug, inline=inline)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 36, in core
return fn(*args, **kwargs)
File "D:\python3.5.3\lib\site-packages\numba\cuda\compiler.py", line 64, in compile_cuda
locals={})
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 699, in compile_extra
return pipeline.compile_extra(func)
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 352, in compile_extra
return self._compile_bytecode()
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 660, in _compile_bytecode
return self._compile_core()
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 647, in _compile_core
res = pm.run(self.status)
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 238, in run
raise patched_exception
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 230, in run
stage()
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 444, in stage_nopython_frontend
self.locals)
File "D:\python3.5.3\lib\site-packages\numba\compiler.py", line 800, in type_inference_stage
infer.propagate()
File "D:\python3.5.3\lib\site-packages\numba\typeinfer.py", line 767, in propagate
raise errors[0]
File "D:\python3.5.3\lib\site-packages\numba\typeinfer.py", line 128, in propagate
constraint(typeinfer)
File "D:\python3.5.3\lib\site-packages\numba\typeinfer.py", line 379, in __call__
self.resolve(typeinfer, typevars, fnty)
File "D:\python3.5.3\lib\site-packages\numba\typeinfer.py", line 401, in resolve
raise TypingError(msg, loc=self.loc)
numba.errors.TypingError: Failed at nopython (nopython frontend)
Invalid usage of Function(<built-in function log>) with parameters (float32, int64)
Known signatures:
* (int64,) -> float64
* (uint64,) -> float64
* (float32,) -> float32
* (float64,) -> float64
File "G:\myworkspace\python3.5\forte\forte170327\test7.py", line 28
[1] During: resolving callee type: Function(<built-in function log>)
[2] During: typing of call at G:\myworkspace\python3.5\forte\forte170327\test7.py (28)
这是一个TypingError？我怎么能纠正它？
我用CUDA模拟器运行这些代码（here显示为隐藏），它没有错误。为什么？
“带参数（float32，int64）的函数（<内建函数log>）的无效使用”是一个非常明确的错误消息 – talonmies
是的，我也注意到了这一点。所以我尝试'ml = math.log（D [tx，ty]，float32（2））'和'ml = math.log（D [tx，ty]）/ math.log（float32（2）） '。但错误再次。最后，'ee = math.log（float32（2））; ml = math.log（D [tx，ty]）/ ee'成功。 我想知道它是否不支持math.log（x，2），并且只是支持math.log（x）。 – glen