Feb 23, 2020 Also, install the python-apt library on the target machine you wish to administer Ansible on, e.g., my Nagios server. Webserver@nagios:$ sudo apt-get install python-apt Webserver@nagios:$ sudo apt-get install aptitude. Or use a single command (any of these). Aug 27, 2020 $ ssh-add /.ssh/idrsado (or whatever name you used) Login should now work $ ssh root@doserver. Update packages $ sudo apt update $ sudo apt upgrade. Create new user with sudo $ adduser brad $ id brad $ usermod -aG sudo brad $ id brad. Login as brad ssh brad@doserver. We need to add the key to brads.ssh on the server, log back in as root.
This page details how to get started with Arm NN. The instructions assume that you are using Ubuntu 16.04, but these instructions should work on most Linux distributions. Jre-8u261-linux-i586.rpm.
Update the apt repository
Before we use the Ubuntu apt repository, we need to make sure it is up-to-date. From a terminal, enter the following command:
Create your Arm NN development directory
This will set up your Arm NN development environment in a local directory ~/dev.
Some of the example commands that we use in this guide expect that the $BASEDIR environment variable is set correctly. So, if you use multiple terminal sessions then ensure that the variable is set correctly in each session.
Set up Boost
Arm NN uses the Boost C++ libraries, so we have to download and build Boost, before we can build Arm NN
Install gcc if not previously installed
Download Boost version 1.64
Build Boost
Install git
If you do not have git installed on your Ubuntu system, you must install it. On Ubuntu 16.04 this can be done with the commands:
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Install Cmake
Arm NN is built and configured with Cmake, you check if Cmake is installed with
If not installed
Arm has tested CMake 3.5.1 on Ubuntu. Other versions might work.
Create a GitHub account
You will need to create a GitHub account in order to log into the ML Platform gerrit server. Your GitHub account is created with your email address.
Login to ML Platform gerrit server and add SSH key
Login to the ML Platform gerrit server using your github credentials, then add your ssh key (see details below).
Generating and SSH key
Before getting the source, you will need to setup an SSH key for yourself. From a terminal, enter the following commands:
When prompted for a file location, press enter without any path to use the default. This should default to something like /home/username/.ssh/id_rsa.
You will then be prompted for a pass phrase. Use some memorable passphrase because you will need to enter it whenever you use the SSH key.
Now change the current directory to the one mentioned above. There should be two files: id_rsa and id_rsa.pub.
Installing the SSH key for https://review.mlplatform.org
In order to connect to the Linaro ML Platform gerrit server via SSH, you will need to register your public key that was generated above. Open the id_rsa.pub file generated in the previous step in a text editor of your choice and copy the contents to the clipboard.
Go to https://review.mlplatform.org/#/settings/ssh-keys and log in using your credentials. Click on AddKey then paste the clipboard contents into the textbox and click Add.
Getting the Development Environment source
Now that we have registered our SSH key with the gerrit repository, we can clone the repository into our development directory.
Create and environment variable for your github username
bash:
csh:
Clone Arm NN repository
Build Arm NN
Create a build folder in ~/dev/armnn
Inside the build folder configure the Arm NN SDK build using CMake
Then build
Run Unit Tests
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If everything goes well you should now be able to run the unit tests from the build folder
If you see *** No errors detected it worked!
Arm NN Example
A good point of ingress into the Arm NN SDK is SimpleSample.cpp, which can be found at armnn/samples.
It creates and runs a network, with one fully connected layer containing one weight of 1.0f.
It creates and runs a network, with one fully connected layer containing one weight of 1.0f.
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To build SimpleSample change the CMake config to
Go to the samples folder in the build folder and run SimpleSample
It should take in a number and output it right back.
More advanced tutorials, such as using the Arm NN SDK with Tensorflow and ONNX, can be found at Arm's developer guides.
To contribute to Arm NN see the contributing guide.