你已经派生过 gprMax
镜像自地址
https://gitee.com/sunhf/gprMax.git
已同步 2025-08-07 23:14:03 +08:00
79 行
4.0 KiB
Python
79 行
4.0 KiB
Python
import argparse, os, platform
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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from gprMax._version import __version__
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"""Plots execution times and speedup factors from benchmarking models run with different numbers of threads. Results are read from a NumPy archive."""
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# Parse command line arguments
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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')
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parser.add_argument('numpyfile', help='name of NumPy archive file including path')
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args = parser.parse_args()
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# Machine identifier
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platformID = platform.platform()
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machineID = input('Enter manufacturer and short machine description, e.g. Apple_MacPro1,1 or Dell_Z420: ')
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cpuspeed = input ('Enter CPU number, type and speed, e.g. 2 x 2.66GHz Quad-Core Intel Xeon or 1 x 4GHz Quad-Core Intel Core i7: ')
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machineIDextra = input('Enter any additional machine description, e.g. Retina 5K, 27-inch, Late 2014 or leave empty: ')
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if machineIDextra:
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machineIDextra = '(' + machineIDextra + ')'
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osversion = input('Enter operating system version, e.g. Windows 7 64-bit: ')
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machineIDlong = machineID + ' ' + machineIDextra + '; ' + cpuspeed + '; ' + osversion
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# Load results
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results = np.load(args.numpyfile)
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plotlabel = os.path.splitext(os.path.split(args.numpyfile)[1])[0] + '.in'
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# Plot colours from http://tools.medialab.sciences-po.fr/iwanthue/index.php
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colors = ['#5CB7C6', '#E60D30', '#A21797', '#A3B347']
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fig, ax = plt.subplots(num=machineIDlong, figsize=(20, 10), facecolor='w', edgecolor='w')
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fig.suptitle(machineIDlong)
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gs = gridspec.GridSpec(1, 2, hspace=0.5)
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ax = plt.subplot(gs[0, 0])
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ax.plot(results['threads'], results['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, label=plotlabel + ' (v' + __version__ + ')')
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#ax.plot(results['threads'], results['bench1'], color=colors[1], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v3.0.0b21)')
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#ax.plot(results['threads'], results['bench1c'], color=colors[0], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v2)')
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#ax.plot(results['threads'], results['bench2'], color=colors[1], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v3.0.0b21)')
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#ax.plot(results['threads'], results['bench2c'], color=colors[0], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v2)')
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ax.set_xlabel('Number of threads')
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ax.set_ylabel('Time [s]')
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ax.grid()
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legend = ax.legend(loc=1)
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frame = legend.get_frame()
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frame.set_edgecolor('white')
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ax.set_xlim([0, results['threads'][0] * 1.1])
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ax.set_xticks(np.append(results['threads'], 0))
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ax.set_ylim(0, top=ax.get_ylim()[1] * 1.1)
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ax = plt.subplot(gs[0, 1])
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ax.plot(results['threads'], results['benchtimes'][-1] / results['benchtimes'], color=colors[1], marker='.', ms=10, lw=2, label=plotlabel + ' (v' + __version__ + ')')
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#ax.plot(results['threads'], results['bench1'][0] / results['bench1'], color=colors[1], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v3.0.0b21)')
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#ax.plot(results['threads'], results['bench1c'][1] / results['bench1c'], color=colors[0], marker='.', ms=10, lw=2, label='bench_100x100x100.in (v2)')
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#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)')
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#ax.plot(results['threads'], results['bench2c'][1] / results['bench2c'], color=colors[0], marker='.', ms=10, lw=2, ls='--', label='bench_150x150x150.in (v2)')
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ax.set_xlabel('Number of threads')
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ax.set_ylabel('Speed-up factor')
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ax.grid()
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legend = ax.legend(loc=1)
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frame = legend.get_frame()
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frame.set_edgecolor('white')
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ax.set_xlim([0, results['threads'][0] * 1.1])
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ax.set_xticks(np.append(results['threads'], 0))
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ax.set_ylim(bottom=1, top=ax.get_ylim()[1] * 1.1)
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# Save a pdf of the plot
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fig.savefig(os.path.splitext(args.numpyfile)[0] + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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plt.show()
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