np.vectorize was being unconditionally invoked at top level. On an
ImportError, np as set to None, so this was resuling in an
AttributeError when loading the module if one of the dependent libraries
was not present on the host system. This moves the invocation into the
try block with the imports to avoid an error when energy_model module is
loaded by the extension is not used.
Make sure when migrating sshd to root cgroup also migrate their
children, including the bash for the wa session. So the subsequent
processes kicked off from that shell can be taskset to any cluster.
Matplotlib defautls to the GTK backend. This can cause problems when
running in a headless session (e.g. over SSH). Since energy_model
istrument generates PNG plots, rather than rendering directly to UI, it
doesn't actually need GTK; set backend to AGG so that energy_model works
in headless environments.
This instrument can be used to generate an energy model for a device
based on collected power and performance measurments. The instrument
produces a C file with an energy model and an accompanying HTML report.
This instrument is very different from other instrumentation, as it
actually generates the run queue on the fly based on the operating
frequencies and idle states it discovers on the device. The agenda needs
only to contain the single "base" spec that defines the workload to be
used for performance measurement.
