Commit aec498bb authored by Sébastien Gardoll's avatar Sébastien Gardoll
Browse files

add multiprocessing test

parent 18aa56a3
import numpy as np
import multiprocessing as mp
import ctypes
import sys
from multiprocessing import Pool
import time
start = time.time()
is_debug = False
has_to_save = bool(sys.argv[3])
num_images = int(sys.argv[1])
num_channel = 8
x_pixel_size = 32
y_pixel_size = 32
num_processes = int(sys.argv[2])
image_range = range(0, num_images)
channel_range = range(0, num_channel)
y_pixel_range = range(0, y_pixel_size)
x_pixel_range = range(0, x_pixel_size)
glob = 10
# Static allocation of the tensor
shared_tensor = mp.RawArray(ctypes.ARRAY(ctypes.ARRAY(ctypes.ARRAY(ctypes.c_double, x_pixel_size), y_pixel_size), num_channel), num_images)
def fill_tensor(image_index):
for channel_index in channel_range:
for y_pixel_index in y_pixel_range:
for x_pixel_index in x_pixel_range:
shared_tensor[image_index][channel_index][y_pixel_index][x_pixel_index] = image_index + glob
return None
if num_processes == 1:
for image_index in image_range:
with Pool(processes = num_processes) as pool:, image_range)
stop = time.time()
print("spend %f seconds filling the tensor"%((stop-start)))
start = stop
if has_to_save:
numpy_wrapping = np.ctypeslib.as_array(shared_tensor)"/home/sgardoll/tmp/test", arr=numpy_wrapping, allow_pickle=True)
stop = time.time()
print("spend %f seconds saving the tensor on disk"%((stop-start)))
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