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mirror of https://github.com/ARM-software/workload-automation.git synced 2025-01-19 04:21:17 +00:00
Brendan Jackman a719f3b156 hwmon: Add hwmon instrument
For some reason I didn't look at the WA2 instrument until afer I
wrote this, so it's different in how it handles 'before/after'
quantities (which I called 'momentary' in the code) - instead of
adding a 'mean' it just adds two separate metrics: one for before and
one for after. Personally I think this is more useful (esp. for
temperature) but if necessary I can revert to the old behaviour.

This also doesn't add the helpful classifier telling you the hwmon
device, because we don't have immediate access to that info from the
devlib Instrument. If necessary I'm sure it could be added later.

Furthermore it doesn't have a parameter to filter the sensors, just
collects from them all.
2017-10-12 18:16:23 +01:00
2015-12-09 16:52:39 +00:00
2017-09-27 10:34:48 +01:00
2015-12-09 16:52:39 +00:00
2017-10-12 18:16:23 +01:00
2017-04-27 09:01:22 +01:00

Workload Automation
+++++++++++++++++++

Workload Automation (WA) is a framework for executing workloads and collecting
measurements on Android and Linux devices. WA includes automation for nearly 50
workloads (mostly Android), some common instrumentation (ftrace, ARM
Streamline, hwmon).  A number of output formats are supported. 

Workload Automation is designed primarily as a developer tool/framework to
facilitate data driven development by providing a method of collecting
measurements from a device in a repeatable way.

Workload Automation is highly extensible. Most of the concrete functionality is
implemented via plug-ins, and  it is easy to write new plug-ins to support new
device types, workloads, instrumentation or output processing. 


Requirements
============

- Python 2.7
- Linux (should work on other Unixes, but untested)
- Latest Android SDK (ANDROID_HOME must be set) for Android devices, or
- SSH for Linux devices


Installation
============

To install::

        python setup.py sdist
        sudo pip install dist/wlauto-*.tar.gz

Please refer to the `installation section <./doc/source/installation.rst>`_ 
in the documentation for more details.


Basic Usage
===========

Please see the `Quickstart <./doc/source/quickstart.rst>`_ section of the 
documentation.


Documentation
=============

You can view pre-built HTML documentation `here <http://pythonhosted.org/wlauto/>`_.

Documentation in reStructuredText format may be found under ``doc/source``. To
compile it into cross-linked HTML, make sure you have `Sphinx
<http://sphinx-doc.org/install.html>`_ installed, and then ::

        cd doc
        make html


License
=======

Workload Automation is distributed under `Apache v2.0 License
<http://www.apache.org/licenses/LICENSE-2.0>`_. Workload automation includes
binaries distributed under differnt licenses (see LICENSE files in specfic
directories).


Feedback, Contrubutions and Support
===================================

- Please use the GitHub Issue Tracker associated with this repository for
  feedback.
- ARM licensees may contact ARM directly via their partner managers.
- We welcome code contributions via GitHub Pull requests. Please see
  "Contributing Code" section of the documentation for details.
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