The Power Machine Learning and Deep Learning Reference Architecture (Release 2)
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The Power Machine Learning and Deep Learning Reference Architecture (Release 2)
Installing the system
Download and install the pre-requisites
Ubuntu 14.04, available for POWER at
NVIDIA CUDA 7.5 from
Select Operating System: Linux
Select Architecture: ppc64le
Select Distribution Ubuntu
Select Version 14.04
Select the Installer Type that best fits your needs
Follow the Linux installation instructions in the CUDA Quick Start Guide linked from the
download page, including the steps describing how to set up the CUDA development
environment by updating PATH and LD_LIBRARY_PATH.
. NVIDIA cuDNN version 3 from
Registration in NVIDIA's Accelerated Computing Developer Program is required.
4. Unpack the cuDNN libraries as follows:
$ cd /usr/local
$ sudo tar --no-same-owner -xzvf cudnn-7.0-linux-ppc64le-v3.0-prod.tgz
5. Add the IBM Machine Learning / Deep Learning repository:
$ sudo apt-get install software-properties-common
$ sudo apt-add-repository ppa:ibmpackages/mldl
6. Update the package cache to include packages in the MLDL repository
$ sudo apt-get update
7. If the system is not connected to the internet, two more steps are required
a. On an internet-connected machine, follow the steps above then download a copy
of the repository to be installed on non-connected machines:
$ apt-get download mldl-repo-local
b. Transfer the downloaded file mldl-repo-local*.deb to the non-connected
machine(s), and install the repository package locally and update the package
cache:
$ sudo dpkg -i mldl-repo-local*.deb
$ sudo apt-get update
Installing the MLDL Distro
Install all supplied frameworks at once with the following repository command:
$ sudo apt-get install power-mldl
Alternatively, install frameworks individually as follows.
Install the IBM Theano package: | $ sudo apt-get install theano | Install the IBM Caffe package: | $ sudo apt-get install caffe | Install the IBM Torch package: | $ su |
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