删除numba.lowering.LoweringError：内部错误

我正在使用numba来加速我的代码,而没有numba可以正常工作.但是使用@jit之后,它会因以下错误而崩溃：

Traceback (most recent call last):
  File "C:\work_asaaki\code\gbc_classifier_train_7.py", line 54, in <module>
    gentlebooster.train(X_train, y_train, boosting_rounds)
  File "C:\work_asaaki\code\gentleboost_c_class_jit_v7_nolimit.py", line 298, in train
    self.g_per_round, self.g = train_function(X, y, H)  
  File "C:\Anaconda\lib\site-packages\numba\dispatcher.py", line 152, in _compile_for_args
    return self.jit(sig)
  File "C:\Anaconda\lib\site-packages\numba\dispatcher.py", line 143, in jit
    return self.compile(sig, **kws)
  File "C:\Anaconda\lib\site-packages\numba\dispatcher.py", line 250, in compile
    locals=self.locals)
  File "C:\Anaconda\lib\site-packages\numba\compiler.py", line 183, in compile_bytecode
    flags.no_compile)
  File "C:\Anaconda\lib\site-packages\numba\compiler.py", line 323, in native_lowering_stage
    lower.lower()
  File "C:\Anaconda\lib\site-packages\numba\lowering.py", line 219, in lower
    self.lower_block(block)
  File "C:\Anaconda\lib\site-packages\numba\lowering.py", line 254, in lower_block
    raise LoweringError(msg, inst.loc)
numba.lowering.LoweringError: Internal error:
NotImplementedError: ('cast', <llvm.core.Instruction object at 0x000000001801D320>, slice3_type, int64)
File "gentleboost_c_class_jit_v7_nolimit.py", line 103

第103行位于下面,处于循环中：

weights = np.empty([n,m])
for curr_n in range(n):
    weights[curr_n,:] = 1.0/(n) # this is line 103

其中n是我的代码上面某处已经定义的常数.

如何清除错误？发生了什么“下降”？我在64位计算机上将Anaconda 2.0.1与Numba 0.13.x和Numpy 1.8.x一起使用.

解决方法:

基于此：https://gist.github.com/cc7768/bc5b8b7b9052708f0c0a,

我想出了避免该问题的方法.我没有使用冒号：来引用任何行/列,而是将循环分成两个循环以显式引用数组每个维度中的索引：

weights = np.empty([n,m])
for curr_n in range(n):
    for curr_m in range (m):
        weights[curr_n,curr_m] = 1.0/(n)

在此之后,我的代码中还有其他实例使用冒号,但是它们并没有导致进一步的错误,不确定原因.

标签：numba,numba-pro,arrays,python,numpy
来源： https://codeday.me/bug/20191029/1957986.html