MattsonThieme

#!/bin/bash
#
# Copyright (c) 2019 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#

MattsonThieme

# !/bin/bash
# Usage: bash intel_optimized_ml_envs.sh

# Add conda, activate to PATH
export PATH=/anaconda/envs/py35/bin:$PATH

# Add Intel channel to conda
conda config --add channels intel

# Create Python 2.7 TensorFlow env

MattsonThieme

# !/bin/bash
# Mattson Thieme | 2018
# Run training in TensorFlow's tf_cnn benchmarks with four workers and one ps on a 36 core Skylake

# Activate TensorFlow virtual environment
source activate tensorflow_p36

# Set worker parameters - may need to update port numbers when running on your machine
ps_list="127.0.0.1:26214"
workers_list="127.0.0.1:1104,127.0.0.1:10628,127.0.0.1:1124,127.0.0.1:2003"

MattsonThieme

#!/bin/bash
# To run: bash tf_multiworker.sh <num_workers>
# Where <num_workers> is an integer factor of the number of physical cores on the machine
# OpenMPI must be installed for this to run

if [ "$1" == "-h" ]; then
  echo "Usage: `basename $0` [<num_workers>]"
  echo "   where "
  echo "   [<num_workers>] = Number of TensorFlow workers per node"
  echo " "