work_queue = Queue()
job_list = []
blocks_x = [i for i in range(0, nblocks_x)]
blocks_y = [i for i in range(0, nblocks_y)]
blocks_z = [i for i in range(0, nblocks_z)]
random.shuffle(blocks_x)
random.shuffle(blocks_y)
random.shuffle(blocks_y)
# Enqueue jobs
for curr_kernel in range(0, len(kernel_list)):
for i in range(0, len(blocks_x)):
for j in range(0, len(blocks_y)):
for k in range(0, len(blocks_z)):
block_i = blocks_x[i]
block_j = blocks_y[j]
block_k = blocks_z[k]
curr_kernel_path = kernel_path + "/" + \
kernel_list[curr_kernel] + ".txt"
output_path = taylor_dir + "/" + kernel_list[curr_kernel]
if not os.path.isdir(output_path + "/"):
os.mkdir(output_path + "/")
current_job = taylor_kernel_job(scene, curr_kernel_path,
block_i, block_j, block_k,
output_path)
job_list.append(current_job)
execute_jobs(job_list, num_cores)
scene= dbvalue(scene_id, scene_type);
#Begin multiprocessing
t1=time.time();
work_queue=Queue();
job_list=[];
blocks_x = [i for i in range(0,nblocks_x)];
blocks_y = [i for i in range(0,nblocks_y)];
blocks_z = [i for i in range(0,nblocks_z)];
random.shuffle(blocks_x);
random.shuffle(blocks_y);
random.shuffle(blocks_y);
#Enqueue jobs
for curr_kernel in range(0, len(kernel_list)):
for i in range(0, len(blocks_x)):
for j in range(0, len(blocks_y)):
for k in range(0, len(blocks_z)):
block_i = blocks_x[i]; block_j = blocks_y[j]; block_k = blocks_z[k];
curr_kernel_path = kernel_path + "/" + kernel_list[curr_kernel]+ ".txt";
output_path = taylor_dir + "/" + kernel_list[curr_kernel];
if not os.path.isdir( output_path + "/"):
os.mkdir( output_path + "/");
current_job = taylor_kernel_job(scene, curr_kernel_path, block_i, block_j, block_k, output_path);
job_list.append(current_job);
execute_jobs(job_list, num_cores);
bvpl_octree_batch.init_process("boxmCreateSceneProcess");
bvpl_octree_batch.set_input_string(0, model_dir +"/mean_color_scene.xml");
bvpl_octree_batch.run_process();
(scene_id, scene_type) = bvpl_octree_batch.commit_output(0);
scene= dbvalue(scene_id, scene_type);
#Begin multiprocessing
t1=time.time();
work_queue=Queue();
num_cores=8;
job_list=[];
if __name__=="__main__":
#Enqueue jobs
for curr_kernel in range(0, len(kernel_list)):
#for curr_kernel in range(0, 1):
#curr_kernel = 1;
for i in range(0, blocks_x):
for j in range(0, blocks_y):
for k in range(0, blocks_z):
curr_kernel_path = kernel_path + "/" + kernel_list[curr_kernel]+ ".txt";
output_path = output_dir + "/" + kernel_list[curr_kernel];
if not os.path.isdir( output_path + "/"):
os.mkdir( output_path + "/");
current_job = taylor_kernel_job(scene, curr_kernel_path, i, j, k, output_path);
job_list.append(current_job);
execute_jobs(job_list, num_cores);
