conflict with matplotlib.pyplot

使用 matplotlib.pyplot、ArrayFire、算術運算和 data.join 重現提供的 Python 3.6 範例。檢查 arrayfire/data.py 中的 join、arrayfire/util.py 中的 safe_call，以及回報的路徑 src/backend/cuda/jit.cpp，以確定為什麼 import 順序會改變 JIT 失敗；當重現程式不再出錯且不需要透過調整 import 順序來繞過時，即視為完成。

These codes will trigger an error in just in time compiler

import matplotlib; matplotlib.use('Agg')
import matplotlib.pyplot as plt
import arrayfire as af

a = af.data.range( 640, 1280, dim=0 )
b = af.data.range( 640, 1280, dim=0 ) - 1

af.data.join(0,a,b,)

and the error output is

Traceback (most recent call last):
  File "test.py", line 8, in <module>
    af.data.join(0,a,b,)
  File "/home/herbert/anaconda3/lib/python3.6/site-packages/arrayfire/data.py", line 320, in join
    safe_call(backend.get().af_join(c_pointer(out.arr), dim, first.arr, second.arr))
  File "/home/herbert/anaconda3/lib/python3.6/site-packages/arrayfire/util.py", line 79, in safe_call
    raise RuntimeError(to_str(err_str))
RuntimeError: In function std::vector<char> cuda::compileToPTX(const char*, std::string)
In file src/backend/cuda/jit.cpp:

However, without any major change, the following two will not,

# change the import order between pyplot and arrayfire

import matplotlib; matplotlib.use('Agg')
import arrayfire as af
import matplotlib.pyplot as plt

a = af.data.range( 640, 1280, dim=0 )
b = af.data.range( 640, 1280, dim=0 ) - 1

af.data.join(0,a,b,)

or

# do not perform the arithmetic operation on one of the array  

import matplotlib; matplotlib.use('Agg')
import matplotlib.pyplot as plt
import arrayfire as af

a = af.data.range( 640, 1280, dim=0 )
b = af.data.range( 640, 1280, dim=0 )

af.data.join(0,a,b,)

Here is my python environment obtained by running python in a terminal.

Python 3.6.8 |Anaconda, Inc.| (default, Dec 30 2018, 01:22:34) 
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.