marcgg

# Matches patterns such as:
#    https://www.facebook.com/my_page_id => my_page_id
#    http://www.facebook.com/my_page_id => my_page_id
#    http://www.facebook.com/#!/my_page_id => my_page_id
#    http://www.facebook.com/pages/Paris-France/Vanity-Url/123456?v=app_555 => 123456
#    http://www.facebook.com/pages/Vanity-Url/45678 => 45678
#    http://www.facebook.com/#!/page_with_1_number => page_with_1_number
#    http://www.facebook.com/bounce_page#!/pages/Vanity-Url/45678 => 45678
#    http://www.facebook.com/bounce_page#!/my_page_id?v=app_166292090072334 => my_page_id
#    http://www.facebook.com/my.page.is.great => my.page.is.great

Yangqing

from mincepie import mapreducer, launcher
import gflags
import glob
import leargist
import numpy as np
import os
from PIL import Image
import uuid
 
# constant value

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

jerinphilip

Put run.sh and auxilliary.sh in the same directory.

$ env | grep SLURM
SLURM_CHECKPOINT_IMAGE_DIR=/var/slurm/checkpoint
SLURM_NODELIST=gnode[10,20,25,37]
SLURM_JOB_NAME=test-multi-nodes
SLURMD_NODENAME=gnode10
SLURM_TOPOLOGY_ADDR=gnode10
SLURM_NTASKS_PER_NODE=4