styblope

Enable TCP port 2375 for external connection to Docker

See this issue.
Docker best practise to Control and configure Docker with systemd.

1. Create daemon.json file in /etc/docker:

    {"hosts": ["tcp://0.0.0.0:2375", "unix:///var/run/docker.sock"]}
   

smitshilu

Tensorflow

System information

• OS - High Sierra 10.13
• Tensorflow - 1.4
• Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
• Cmake - 3.7
• Bazel - 0.7.0

dbarnes

OSX Sierra + Titan Xp eGPU. Tensorflow 1.2.1. + CUDA 8 + cuDNN 6

This gist summarises the tensorflow related steps I took to get the above combo working.

When its all tested in c++ I'll update the instructions fully (and add anything I forgot below).

But in summary ( with the current master dd06643cf098ed362212ce0f76ee746951466e81 ):

I have uploaded the pip wheel which I believe should work if you have the same setup but no promises (built for compute capability 3.5, 5.2, 6.0 and named tensorflow-gpu). Install with (not sure dropbox allows this direct linking):

asroy

I've tested it on Fedora 23 and Ubuntu 16.04. I'm using gcc-5.3.1, python-3.4, VS Code-1.14.0
You can debug mixed Python/C++ in the same GUI. It also works for MPI applications. You can switch between the debuggers and corresponding call stacks.

1. Packages needed
  1) Visual Studio Code

  2) Extensions for VS Code:
      "Python" from Don Jayamanne (I'm using 0.6.7)
        This allows VS Code act as the front end to debug python.
        This gives VS Code ability to attach to a python script that uses module "ptvsd". 

epipping

Moved here: https://gist.github.com/epipping/ef8b02b0cfaec4a5ebf3a57092145a3f

ismyrnow

sudo rm -rfv /Library/Caches/com.apple.iconservices.store; sudo find /private/var/folders/ \( -name com.apple.dock.iconcache -or -name com.apple.iconservices \) -exec rm -rfv {} \; ; sleep 3;sudo touch /Applications/* ; killall Dock; killall Finder

luiscape

#
#  Original solution via StackOverflow:
#    http://stackoverflow.com/questions/35802939/install-only-available-packages-using-conda-install-yes-file-requirements-t
#

#
#  Install via `conda` directly.
#  This will fail to install all
#  dependencies. If one fails,
#  all dependencies will fail to install.

Mistobaan

Machine Setup August 2016

Linux Ubuntu 2016.

• 1080 GTX
• SDK 8.0
• CuDNN 5.1

ENABLE Core dumps

ulimit -c unlimited

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

jnovack

Installation

1. Install docker
2. Install socat (see install.sh)
3. Install XQuartz from https://www.xquartz.org

Running