Kaiwen Yuan KleinYuan

Install CUDA 10.0 and cuDNN v7.4.2 on Ubuntu 16.04

Update package lists, download and install NVIDIA driver

sudo apt-get update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-410

	import os
	import tensorflow as tf

	trained_checkpoint_prefix = 'checkpoints/dev'
	export_dir = os.path.join('models', '0') # IMPORTANT: each model folder must be named '0', '1', ... Otherwise it will fail!

	loaded_graph = tf.Graph()
	with tf.Session(graph=loaded_graph) as sess:
	# Restore from checkpoint
	loader = tf.train.import_meta_graph(trained_checkpoint_prefix + '.meta')

	#!/usr/bin/env python

	import cv2
	import gi
	import numpy as np

	gi.require_version('Gst', '1.0')
	from gi.repository import Gst

	######################################
	# INSTALL OPENCV ON UBUNTU OR DEBIAN #
	######################################

	# 1. KEEP UBUNTU OR DEBIAN UP TO DATE

	sudo apt-get -y update
	sudo apt-get -y upgrade
	sudo apt-get -y dist-upgrade
	sudo apt-get -y autoremove

	# -- coding: utf-8 --
	"""
	\| @created on: 11/05/17,
	\| @author: Prathyush SP,
	\| @version: v0.0.1
	\|
	\| Description:
	\| DL Module Tests
	\| Sphinx Documentation Status: Complete
	\|

	FROM ros:indigo-ros-base
	# install ros tutorials packages
	RUN apt-get update && apt-get install -y \
	ros-indigo-ros-tutorials \
	ros-indigo-common-tutorials \
	&& rm -rf /var/lib/apt/lists/

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)