clareliguori

ARG FUNCTION_RUNTIME

FROM mikesir87/aws-cli as code

ARG FUNCTION_NAME
ARG AWS_DEFAULT_REGION
ARG AWS_ACCESS_KEY_ID
ARG AWS_SECRET_ACCESS_KEY

RUN wget -O function.zip `aws lambda get-function --function-name $FUNCTION_NAME --query 'Code.Location' --output text`

andreas-wilm

# https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/raid-config.html
nvmes=$(sudo lsblk | awk '/^nvme/ {printf "/dev/%s ", $1}')
sudo mdadm --create --verbose /dev/md0 --level=0 --name=my_raid --raid-devices=$(echo $nvmes | wc -w) $nvmes
sleep 10# crutch
sudo mkfs.ext4 -L my_raid /dev/md0
sudo mdadm --detail --scan | sudo tee -a /etc/mdadm.conf
sudo dracut -H -f /boot/initramfs-$(uname -r).img $(uname -r)
sudo mkdir /data
sudo mount LABEL=my_raid /data
sudo chown ec2-user:ec2-user /data/

yzh119

from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable

def sample_gumbel(shape, eps=1e-20):
    U = torch.rand(shape).cuda()
    return -Variable(torch.log(-torch.log(U + eps) + eps))

ericjang

def sample_gumbel(shape, eps=1e-20): 
  """Sample from Gumbel(0, 1)"""
  U = tf.random_uniform(shape,minval=0,maxval=1)
  return -tf.log(-tf.log(U + eps) + eps)

def gumbel_softmax_sample(logits, temperature): 
  """ Draw a sample from the Gumbel-Softmax distribution"""
  y = logits + sample_gumbel(tf.shape(logits))
  return tf.nn.softmax( y / temperature)

synapticarbors

import numpy as np
import numba as nb

from numba import types
from numba.extending import overload_method


@overload_method(types.Array, 'take')
def array_take(arr, indices):
   if isinstance(indices, types.Array):

joech4n

#!/bin/sh
BUCKETNAME=mybucketname; REGION=us-east-1; for prefix in $(aws s3api list-objects --bucket $BUCKETNAME --delimiter '/' --output text --region $REGION |grep COMMONPREFIX |tail -n+2| awk '{print $2}'); do echo "Totals for $prefix"; aws s3 ls --summarize --human-readable --recursive s3://$BUCKETNAME/$prefix --region $REGION ; done |grep Total

psorianom

# -*- coding: utf-8 -*-
# Authors: Olivier Grisel <[email protected]>
# Mathieu Blondel <[email protected]>
# Lars Buitinck <[email protected]>
# Robert Layton <[email protected]>
#          Jochen Wersdörfer <[email protected]>
#          Roman Sinayev <[email protected]>
#
# License: BSD 3 clause
"""

linjunpop

Deploy Rails 4 app with Dokku on DigitalOcean

Install dokku

First create a Ubuntu 13.04 x64 droplet on DigitalOcean Control Panel

Then ssh with root account, run this in termianl:

$ wget -qO- https://raw.github.com/progrium/dokku/master/bootstrap.sh | sudo bash

mrflip

Next Steps

• Measure time spend on index, flush, refresh, merge, query, etc. (TD - done)
• Take hot threads snapshots under read+write, read-only, write-only (TD - done)
• Adjust refresh time to 10s (from 1s) and see how load changes (TD)
• Measure time of a rolling restart doing disable_flush and disable_recovery (TD)
• Specify routing on query -- make it choose same node for each shard each time (MD)
• GC new generation size (TD)
• Warmers

• measure before/after of client query time with and without warmers (MD)

karmi

require 'tire'

# Tire.configure { logger STDERR, level: 'debug' }

Tire.index('movie-titles') do
  delete
  create \
    settings: {
      index: {
        analysis: {