Re: [PyCUDA] pyCUDA kill app with using pyQt5

[Andreas Kloeckner]

안태우 writes:
> Hello, all.I'm using pycuda for making simple project with pyQt5.  But when I 
> programed like this(in Windows 10, Python 3.6.2), app is aborted with 
> printing bottom 
> logs.​---PyCUDA
>  ERROR: The context stack was not empty upon module 
> cleanup.---A 
> context was still active when the context stack was beingcleaned up. At this 
> point in our execution, CUDA may alreadyhave been deinitialized, so there is 
> no way we can finishcleanly. The program will be aborted now.Use 
> Context.pop() to avoid this 
> problem.--​My 
> code is like this.Could you give me some help? ​main.py​import sys
> from PyQt5 import uicfrom PyQt5.QtGui import *from PyQt5.QtWidgets 
> import *from PyQt5.QtCore import *from PIL.ImageQt import ImageQt
> import fractal​form_class = uic.loadUiType("main.ui")[0]​class 
> Form(QMainWindow, form_class):DRAW_MANDELBROT = 1​def 
> __init__(self):super().__init__()self.setupUi(self)   
>  self.setWindowFlags(Qt.MSWindowsFixedSizeDialogHint)
> self.setFixedSize(self.size())
> self.drawfractal(self.DRAW_MANDELBROT)​def wheelEvent(self, event: 
> QWheelEvent):pos = QWidget.mapFromGlobal(QCursor.pos()) // when 
> this event happens, error occurs. print(pos)​def 
> drawfractal(self, sort):global imgif sort is 
> self.DRAW_MANDELBROT:img = fractal.mandelbrot(-2, -2, 
> self.size().width() * 2, 400)​   qimg = 
> QPixmap.fromImage(ImageQt(img))qimg = qimg.scaled(self.size(), 
> Qt.KeepAspectRatio, Qt.SmoothTransformation)
> self.label.setPixmap(qimg)​​if __name__ == "__main__":app = 
> QApplication(sys.argv)w = Form()w.show()
> sys.exit(app.exec())​​fractal.py​import pycuda.autoinitimport 
> pycuda.driver as cudafrom pycuda.compiler import SourceModuleimport 
> numpy as npimport matplotlib.cm as cmfrom matplotlib.colors import 
> Normalizefrom PIL import Image​...​def mandelbrot(startx, starty, 
> size, precision):matrix = np.array([startx, starty, size, precision], 
> np.float32)result = np.empty((size, size), np.int32)
> matrix_gpu = cuda.mem_alloc(matrix.nbytes)result_gpu = 
> cuda.mem_alloc(result.nbytes)​cuda.memcpy_htod(matrix_gpu, matrix)​   
>  func = cu.get_function("mandelbrot")func(matrix_gpu, result_gpu, 
> block=(1, 1, 1), grid=(size, size))​cuda.memcpy_dtoh(result, 
> result_gpu)​return array2imgarray(result, 'nipy_spectral') Thanks 

Can you supply a stack trace of the crash? Could you confirm that
PyCUDA's atexit function runs?

Andreas

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[PyCUDA] pyCUDA kill app with using pyQt5

[안태우]

Hello, all.I'm using pycuda for making simple project with pyQt5.  But when I 
programed like this(in Windows 10, Python 3.6.2), app is aborted with printing 
bottom 
logs.​---PyCUDA 
ERROR: The context stack was not empty upon module 
cleanup.---A 
context was still active when the context stack was beingcleaned up. At this 
point in our execution, CUDA may alreadyhave been deinitialized, so there is no 
way we can finishcleanly. The program will be aborted now.Use Context.pop() to 
avoid this 
problem.--​My 
code is like this.Could you give me some help? ​main.py​import sysfrom 
PyQt5 import uicfrom PyQt5.QtGui import *from PyQt5.QtWidgets import *  
  from PyQt5.QtCore import *from PIL.ImageQt import ImageQtimport 
fractal​form_class = uic.loadUiType("main.ui")[0]​class 
Form(QMainWindow, form_class):DRAW_MANDELBROT = 1​def 
__init__(self):super().__init__()self.setupUi(self) 
   self.setWindowFlags(Qt.MSWindowsFixedSizeDialogHint)
self.setFixedSize(self.size())
self.drawfractal(self.DRAW_MANDELBROT)​def wheelEvent(self, event: 
QWheelEvent):pos = QWidget.mapFromGlobal(QCursor.pos()) // when 
this event happens, error occurs. print(pos)​def 
drawfractal(self, sort):global imgif sort is 
self.DRAW_MANDELBROT:img = fractal.mandelbrot(-2, -2, 
self.size().width() * 2, 400)​   qimg = QPixmap.fromImage(ImageQt(img)) 
   qimg = qimg.scaled(self.size(), Qt.KeepAspectRatio, 
Qt.SmoothTransformation)self.label.setPixmap(qimg)​​if __name__ 
== "__main__":app = QApplication(sys.argv)w = Form()
w.show()sys.exit(app.exec())​​fractal.py​import pycuda.autoinit
import pycuda.driver as cudafrom pycuda.compiler import SourceModule
import numpy as npimport matplotlib.cm as cmfrom matplotlib.colors 
import Normalizefrom PIL import Image​...​def mandelbrot(startx, 
starty, size, precision):matrix = np.array([startx, starty, size, 
precision], np.float32)result = np.empty((size, size), np.int32)
matrix_gpu = cuda.mem_alloc(matrix.nbytes)result_gpu = 
cuda.mem_alloc(result.nbytes)​cuda.memcpy_htod(matrix_gpu, matrix)​ 
   func = cu.get_function("mandelbrot")func(matrix_gpu, result_gpu, 
block=(1, 1, 1), grid=(size, size))​cuda.memcpy_dtoh(result, 
result_gpu)​return array2imgarray(result, 'nipy_spectral') Thanks ___
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