- 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
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// Website you intended to retrieve for users. | |
const upstream = 'api.openai.com' | |
// Custom pathname for the upstream website. | |
const upstream_path = '/' | |
// Website you intended to retrieve for users using mobile devices. | |
const upstream_mobile = upstream | |
// Countries and regions where you wish to suspend your service. |
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# Install these packages (use your favorite AUR tool here) | |
yay -S minikube kubectl docker-machine-driver-kvm2 libvirt qemu-headless ebtables | |
# Get libvirt going | |
sudo systemctl enable libvirtd.service | |
sudo usermod -a -G libvirt $(whoami) | |
# This fix thanks to http://blog.programmableproduction.com/2018/03/08/Archlinux-Setup-Minikube-using-KVM/ | |
sudo virsh net-autostart default |
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##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ | |
## Created by: Hang Zhang, Rutgers University, Email: zhang.hang@rutgers.edu | |
## Modified by Thomas Wolf, HuggingFace Inc., Email: thomas@huggingface.co | |
## Copyright (c) 2017-2018 | |
## | |
## This source code is licensed under the MIT-style license found in the | |
## LICENSE file in the root directory of this source tree | |
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ | |
"""Encoding Data Parallel""" |
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This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
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""" 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 |
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#!/usr/bin/env python2 | |
import os | |
import gym | |
import sys | |
import random | |
import itertools | |
from time import time | |
from copy import copy | |
from math import sqrt, log |
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
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