Rishabh Agrahari pyaf

Steps to follow:

Install suitable driver for your Nvidia GPU. Don't worry if nvidia-smi isn't working.
Note the output of lspci | egrep 'VGA|3D', mine gives the following:

00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation Device 1f02 (rev a1)

	# Build an image that can do training and inference in SageMaker
	# This is a Python 3 image that uses the nginx, gunicorn, flask stack
	# for serving inferences in a stable way.

	FROM ubuntu:18.04

	MAINTAINER Amazon AI <[email protected]>


	RUN apt-get -y update && apt-get install -y --no-install-recommends \

	FROM sklearn-base:0.23-1-cpu-py3
	ENV SAGEMAKER_SKLEARN_VERSION 0.23-1

	LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true

	COPY requirements.txt /requirements.txt
	RUN python -m pip install -r /requirements.txt && \
	rm /requirements.txt

	COPY dist/sagemaker_sklearn_container-2.0-py3-none-any.whl /sagemaker_sklearn_container-2.0-py3-none-any.whl

	#!/bin/bash

	# Initialize conda environment
	echo 'Create Conda env? Type y or n and then press [ENTER]:'
	read create_env

	if [ $create_env = "y" ];
	then
	echo "Provide name for Conda virtualenv and then press [ENTER]:"
	read env_name

	#!/bin/bash

	output=$(nvidia-smi --format=csv,noheader --query-gpu=name,power.draw,fan.speed,utilization.gpu,temperature.gpu,memory.used,memory.total)

	IFS=',' read -r -a array <<< "$output"

	name=${array[0]}
	power=${array[1]}
	fan=${array[2]}
	util=${array[3]}

	let mapleader =","

	call plug#begin('~/.config/nvim/plugged')
	Plug 'tpope/vim-surround'
	Plug 'scrooloose/nerdtree'
	Plug 'mboughaba/i3config.vim'
	Plug 'jreybert/vimagit'
	Plug 'LukeSmithxyz/vimling'
	Plug 'PotatoesMaster/i3-vim-syntax'
	Plug 'vimwiki/vimwiki'

	set-option -g status-style bg=colour235 #base02
	set-option -g status-style fg=colour136 #yellow
	set-option -g status-style default

	bind -n S-Right next-window
	bind -n S-Left previous-window

	# set window split
	bind-key v split-window -h
	bind-key b split-window

	#deb cdrom:[Ubuntu 16.04.2 LTS _Xenial Xerus_ - Release amd64 (20170215.2)]/ xenial main restricted

	# See http://help.ubuntu.com/community/UpgradeNotes for how to upgrade to
	# newer versions of the distribution.
	deb http://us.archive.ubuntu.com/ubuntu/ xenial main restricted
	# deb-src http://us.archive.ubuntu.com/ubuntu/ xenial main restricted

	## Major bug fix updates produced after the final release of the
	## distribution.
	deb http://us.archive.ubuntu.com/ubuntu/ xenial-updates main restricted

	set-option -g status-bg colour235 #base02
	set-option -g status-fg colour136 #yellow
	set-option -g status-attr default

	bind -n S-Right next-window
	bind -n S-Left previous-window

	# set window split
	bind-key v split-window -h
	bind-key b split-window

	def CNN_model():

	model = Sequential()
	model.add(Conv2D(32, (3, 3), input_shape=(124, 124, 3)))
	model.add(Activation('relu'))
	model.add(MaxPooling2D(pool_size=(2, 2)))

	model.add(Conv2D(32, (3, 3)))
	model.add(Activation('relu'))
	model.add(MaxPooling2D(pool_size=(2, 2)))