import argparse import os import numpy as np import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec from gprMax._version import __version__ from gprMax.utilities import get_machine_cpu_os """Plots execution times and speedup factors from benchmarking models run with different numbers of threads. Results are read from a NumPy archive.""" # Parse command line arguments parser = argparse.ArgumentParser(description='Plots execution times and speedup factors from benchmarking models run with different numbers of threads. Results are read from a NumPy archive.', usage='cd gprMax; python -m tests.benchmarking.plot_benchmark numpyfile') parser.add_argument('baseresult', help='name of NumPy archive file including path') parser.add_argument('--otherresults', default=None, help='list of NumPy archives file including path', nargs='+') args = parser.parse_args() # Load base result baseresult = np.load(args.baseresult) # Get machine/CPU/OS details try: machineIDlong = str(baseresult['machineID']) machineID = machineIDlong.split(';')[0] except KeyError: machineID, cpuID, osversion = get_machine_cpu_os() machineIDlong = machineID + '; ' + cpuID + '; ' + osversion print('MachineID: {}'.format(machineIDlong)) # Base result info print('Model: {}'.format(args.baseresult)) for thread in range(len(baseresult['threads'])): print('{} thread(s): {:g} s'.format(baseresult['threads'][thread], baseresult['benchtimes'][thread])) plotlabel1 = os.path.splitext(os.path.split(args.baseresult)[1])[0] + '.in' # Load other results and info otherresults = [] if args.otherresults is not None: for i, result in enumerate(args.otherresults): otherresults.append(np.load(result)) print('Model: {}'.format(result)) for thread in range(len(otherresults[i]['threads'])): print('{} thread(s): {:g} s'.format(otherresults[i]['threads'][thread], otherresults[i]['benchtimes'][thread])) plotlabel2 = os.path.splitext(os.path.split(result)[1])[0] + '.in' # Get gprMax version try: version = str(baseresult['version']) except KeyError: version = __version__ # Plot colours from http://tools.medialab.sciences-po.fr/iwanthue/index.php colors = ['#5CB7C6', '#E60D30', '#A21797', '#A3B347'] lines = ['--', ':', '-.'] fig, ax = plt.subplots(num=machineIDlong, figsize=(20, 10), facecolor='w', edgecolor='w') fig.suptitle(machineIDlong) gs = gridspec.GridSpec(1, 2, hspace=0.5) ax = plt.subplot(gs[0, 0]) ax.plot(baseresult['threads'], baseresult['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, label=plotlabel1 + ' (v' + version + ')') if args.otherresults is not None: for i, result in enumerate(otherresults): ax.plot(result['threads'], result['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, ls=lines[i], label=plotlabel2 + ' (v' + version + ')') #ax.plot(results['threads'], results['bench1'], color=colors[1], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v3.0.0b21)') #ax.plot(results['threads'], results['bench1c'], color=colors[0], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v2)') #ax.plot(results['threads'], results['bench2'], color=colors[1], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v3.0.0b21)') #ax.plot(results['threads'], results['bench2c'], color=colors[0], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v2)') ax.set_xlabel('Number of threads') ax.set_ylabel('Time [s]') ax.grid() legend = ax.legend(loc=1) frame = legend.get_frame() frame.set_edgecolor('white') ax.set_xlim([0, baseresult['threads'][0] * 1.1]) ax.set_xticks(np.append(baseresult['threads'], 0)) ax.set_ylim(0, top=ax.get_ylim()[1] * 1.1) ax = plt.subplot(gs[0, 1]) ax.plot(baseresult['threads'], baseresult['benchtimes'][-1] / baseresult['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, label=plotlabel1 + ' (v' + version + ')') if args.otherresults is not None: for i, result in enumerate(otherresults): ax.plot(result['threads'], result['benchtimes'][-1] / result['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, ls=lines[i], label=plotlabel2 + ' (v' + version + ')') #ax.plot(results['threads'], results['bench1'][0] / results['bench1'], color=colors[1], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v3.0.0b21)') #ax.plot(results['threads'], results['bench1c'][1] / results['bench1c'], color=colors[0], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v2)') #ax.plot(results['threads'], results['bench2'][0] / results['bench2'], color=colors[1], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v3.0.0b21)') #ax.plot(results['threads'], results['bench2c'][1] / results['bench2c'], color=colors[0], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v2)') ax.set_xlabel('Number of threads') ax.set_ylabel('Speed-up factor') ax.grid() legend = ax.legend(loc=1) frame = legend.get_frame() frame.set_edgecolor('white') ax.set_xlim([0, baseresult['threads'][0] * 1.1]) ax.set_xticks(np.append(baseresult['threads'], 0)) ax.set_ylim(bottom=1, top=ax.get_ylim()[1] * 1.1) # Save a pdf of the plot fig.savefig(os.path.join(os.path.dirname(args.baseresult), machineID.replace(' ', '_') + '.png'), dpi=150, format='png', bbox_inches='tight', pad_inches=0.1) plt.show()