AymenFJA

import os
import radical.pilot as rp
from radical.entk import Pipeline, Stage, Task, AppManager


crop_size = int(360)              #covnvert this to argument later
worker_root = r"/pylon5/mc3bggp/aymen/local_dir/datasets/polygon/"                                                                 #convert this to argument later
weights_path = r"/pylon5/mc3bggp/aymen/local_dir/datasets/logs/ice_wedge_polygon20180823T1403/mask_rcnn_ice_wedge_polygon_0008.h5" #convert this to argument later
imgs_path = r"/pylon5/mc3bggp/aymen/local_dir/datasets/polygon/input_img/"                                                         #convert this to argument later

AymenFJA

from myproxy.client import MyProxyClient
myproxy_clnt = MyProxyClient(hostname="myproxy.somewhere.ac.uk")
cert, private_key = myproxy_clnt.logon(username, password, bootstrap=True)

AymenFJA

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
 
// CUDA kernel. Each thread takes care of one element of c
__global__ void vecAdd(double *a, double *b, double *c, int n)
{
    // Get our global thread ID
    int id = blockIdx.x*blockDim.x+threadIdx.x;
 

AymenFJA

import shutil
import argparse
import os, os.path
from mpi4py import MPI
from queue import Queue
import iwp_divideimg as divide

parser = argparse.ArgumentParser()
parser.add_argument('imgs_path', help='Path of the dataset')
parser.add_argument('worker_root', help='main work dir')