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#!/usr/bin/env python
import sys
import argparse
from volk_test_funcs import *
try:
import matplotlib
import matplotlib.pyplot as plt
except ImportError:
sys.stderr.write("Could not import Matplotlib (http://matplotlib.sourceforge.net/)\n")
sys.exit(1)
def main():
desc='Plot Volk performance results from a SQLite database. ' + \
'Run one of the volk tests first (e.g, volk_math.py)'
parser = argparse.ArgumentParser(description=desc)
parser.add_argument('-D', '--database', type=str,
default="volk_results.db",
help='Database file to read data from [default: %(default)s]')
args = parser.parse_args()
# Set up global plotting properties
matplotlib.rcParams['figure.subplot.bottom'] = 0.2
matplotlib.rcParams['figure.subplot.top'] = 0.95
matplotlib.rcParams['ytick.labelsize'] = 16
matplotlib.rcParams['xtick.labelsize'] = 16
matplotlib.rcParams['legend.fontsize'] = 18
# Get list of tables to compare
conn = create_connection(args.database)
tables = list_tables(conn)
M = len(tables)
# width of bars depends on number of comparisons
wdth = 0.80/M
colors = ['b', 'r', 'g', 'm', 'k']
# Set up figure for plotting
f0 = plt.figure(0, facecolor='w', figsize=(14,10))
s0 = f0.add_subplot(1,1,1)
for i,table in enumerate(tables):
# Get results from the next table
res = get_results(conn, table[0])
xlabels = []
averages = []
variances = []
maxes = []
mins = []
for r in res:
xlabels.append(r['kernel'])
averages.append(r['avg'])
variances.append(r['var'])
maxes.append(r['max'])
mins.append(r['min'])
# makes x values for this data set placement
x0 = xrange(len(res))
x1 = [x + i*wdth for x in x0]
s0.bar(x1, averages, width=wdth,
#yerr=variances,
color=colors[i%M], label=table[0],
edgecolor='k', linewidth=2)
s0.legend()
s0.set_ylabel("Processing time (sec) [{0:G} items]".format(res[0]['nitems']),
fontsize=22, fontweight='bold')
s0.set_xticks(x0)
s0.set_xticklabels(xlabels)
for label in s0.xaxis.get_ticklabels():
label.set_rotation(45)
label.set_fontsize(16)
plt.show()
if __name__ == "__main__":
main()
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