In [24]:

    

# import pycuda.autoinit
# import pycuda.driver as drv
# import pycuda.gpuarray as ga
# import numpy as np
# from pycuda.compiler import SourceModule

# mod = SourceModule(open("vector_types.cu").read())
# print_coordinates = mod.get_function("print_coordinates")


    

In [ ]:

    

# mod = drv.SourceModule(""" <your kernel code here> """)
# func = mod.get_function("<name of your kernel function here>")
# elapsed = func(<your parameters>, time_kernel=True)


    

In [ ]:

    

# import pycuda.autoinit
# import pycuda.driver as drv
# import numpy
# import Image
# import time
# import sys, getopt

# import matplotlib.pyplot as plt
# import matplotlib.image as mpimg 
# from pycuda.compiler import SourceModule

# start_time=0.0

# def startTimer( funcname, quiet ):
#     global start_time
#     if not quiet:
#         sys.stdout.write(funcname)
#         sys.stdout.flush()  
#     start_time = time.time()

        
# def stopTimer(quiet):
#     elapsed_time = time.time() - start_time
#     if not quiet:
#         print 'DONE in {0:.3f} seconds.'.format(elapsed_time)  

        
# def loadKernel():                   
#     module = drv.module_from_file("ssgls.ptx")      
#     glsKernel    = module.get_function("doGLS_kernel")   
#     return module, glsKernel

# startTimer("Load CUDA kernel ........... ", quiet)
# module, glsKernel = loadKernel()
# stopTimer(quiet)  
  
# startTimer("Init Input data ............ ", quiet)
# w, h, normals, positions = initInputData (imgNormPath, imgwcPath)
# stopTimer(quiet)


    

In [ ]:

    

# image_slice_red =  scaled_image_data[:,:,0]
# image_slice_green =  scaled_image_data[:,:,1]
# image_slice_blue =  scaled_image_data[:,:,2]