Summary plots

trappy.summary_plots() shows all the relevant (for the power allocator governor) plots for a particular run.

First some hacks to allow importing trappy from here

In [1]:
import sys

In [2]:
%pylab inline
import trappy

Populating the interactive namespace from numpy and matplotlib

For a description of map_label and actor_order see the compare runs notebook.

In [3]:
map_label = {"00000000,00000006": "big", "00000000,00000039": "LITTLE"}
actor_order = ["GPU", "big", "LITTLE"]

In [4]:
trappy.summary_plots(actor_order, map_label, path="./trace.txt")

In [4]: