pyaf

# 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 \

pyaf

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

pyaf

#!/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

pyaf

#!/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]}

pyaf

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'

pyaf

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

pyaf

Steps to follow:

1. Install suitable driver for your Nvidia GPU. Don't worry if nvidia-smi isn't working.
2. 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)

3. Edit your /etc/X11/xorg.conf as follows

pyaf

#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

pyaf

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

pyaf

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)))