Anton Matosov anton-matosov

Enable TCP port 2375 for external connection to Docker

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

Create daemon.json file in /etc/docker:

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

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

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):

Machine Setup August 2016

Linux Ubuntu 2016.

1080 GTX
SDK 8.0
CuDNN 5.1

ENABLE Core dumps

ulimit -c unlimited

	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".

	#
	# 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.

	""" 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

	#
	# Ubuntu Node.js Dockerfile
	#
	# https://github.com/dockerfile/ubuntu/blob/master/Dockerfile
	# https://docs.docker.com/examples/nodejs_web_app/
	#

	# Pull base image.
	FROM ubuntu:14.04