#!/usr/bin/env python3 # coding=utf-8 # Copyright (c) 2023 Huawei Device Co., Ltd. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys import pandas from matplotlib import pyplot stall = [ 0, 5, 10, 15, 20, 25, 30, 35, 40, 50, 60, 70, 80, 90, 100, 120, 140, 160, 180, 200 ] def draw_fig(ax, base, data, title): label = title[:-4] thread = title[-3:] # get optimization ratio avg = sum(data) / len(data) avg_base = base['_'.join([label, 'base', thread])].mean() ratio = str(round((avg_base - avg) / avg_base, 3)) data_base = [float(base['_'.join([label, 'base', thread])][i]) for i in range(len(stall))] ax.plot(stall, data_base, 's-', label='_'.join([label, 'base'])) ax.plot(stall, data, 'o-', label=label) ax.legend(loc='best') ax.set_title(''.join([title, '[R:', ratio, ']'])) def main(argv): path = argv[1] out = argv[2] # read csv base = pandas.read_csv(os.path.join(path, 'base.csv')) t1 = pandas.read_csv(os.path.join(path, 'perf_thread1.csv')) t8 = pandas.read_csv(os.path.join(path, 'perf_thread8.csv')) # get actual data t1_fork_join = [(t1[' fork_join'][i] / t1['repeat'][i] * 1 - stall[i] * 10000) / 10000 for i in range(len(stall))] t1_fork_join_worker_submit = [(t1['fork_join_worker_submit'][i] / t1['repeat'] [i] * 1 - stall[i] * 10000) / 10000 for i in range(len(stall))] t1_airaw = [(t1['airaw'][i] / t1['repeat'][i] * 1 - stall[i] * 2400 * 3) / 2400 / 3 for i in range(len(stall))] t1_airaw_worker_submit = [(t1['airaw_worker_submit'][i] / t1['repeat'] [i] * 1 - stall[i] * 2400 * 3) / 2400 / 3 for i in range(len(stall))] t1_fib_data_wait = [(t1['fib_data_wait'][i] / t1['repeat'][i] * 1 - stall[i] * 21890) / 21890 for i in range(len(stall))] t1_fib_child_wait = [(t1['fib_child_wait'][i] / t1['repeat'][i] * 1 - stall[i] * 21890) / 21890 for i in range(len(stall))] t1_fib_no_wait = [(t1['fib_no_wait'][i] / t1['repeat'][i] * 1 - stall[i] * 21890) / 21890 for i in range(len(stall))] t8_fork_join = [(t8[' fork_join'][i] / t8['repeat'][i] * 8 - stall[i] * 10000) / 10000 for i in range(len(stall))] t8_fork_join_worker_submit = [(t8['fork_join_worker_submit'][i] / t8['repeat'] [i] * 8 - stall[i] * 10000) / 10000 for i in range(len(stall))] t8_airaw = [(t8['airaw'][i] / t8['repeat'][i] * 3 - stall[i] * 2400 * 3) / 2400 / 3 for i in range(len(stall))] t8_airaw_worker_submit = [(t8['airaw_worker_submit'][i] / t8['repeat'] [i] * 3 - stall[i] * 2400 * 3) / 2400 / 3 for i in range(len(stall))] t8_fib_data_wait = [(t8['fib_data_wait'][i] / t8['repeat'][i] * 8 - stall[i] * 21890) / 21890 for i in range(len(stall))] t8_fib_child_wait = [(t8['fib_child_wait'][i] / t8['repeat'][i] * 8 - stall[i] * 21890) / 21890 for i in range(len(stall))] t8_fib_no_wait = [(t8['fib_no_wait'][i] / t8['repeat'][i] * 8 - stall[i] * 21890) / 21890 for i in range(len(stall))] # draw figure fig, ax = pyplot.subplots(2, 7, figsize=(30, 8)) draw_fig(ax[0, 0], base, t1_fork_join, 'fork_join_1th') draw_fig(ax[0, 1], base, t1_fork_join_worker_submit, 'fork_join_worker_submit_1th') draw_fig(ax[0, 2], base, t1_airaw, 'airaw_1th') draw_fig(ax[0, 3], base, t1_airaw_worker_submit, 'airaw_worker_submit_1th') draw_fig(ax[0, 4], base, t1_fib_data_wait, 'fib20_data_wait_1th') draw_fig(ax[0, 5], base, t1_fib_child_wait, 'fib20_child_wait_1th') draw_fig(ax[0, 6], base, t1_fib_no_wait, 'fib20_no_wait_1th') draw_fig(ax[1, 0], base, t8_fork_join, 'fork_join_8th') draw_fig(ax[1, 1], base, t8_fork_join_worker_submit, 'fork_join_worker_submit_8th') draw_fig(ax[1, 2], base, t8_airaw, 'airaw_8th') draw_fig(ax[1, 3], base, t8_airaw_worker_submit, 'airaw_worker_submit_8th') draw_fig(ax[1, 4], base, t8_fib_data_wait, 'fib20_data_wait_8th') draw_fig(ax[1, 5], base, t8_fib_child_wait, 'fib20_child_wait_8th') draw_fig(ax[1, 6], base, t8_fib_no_wait, 'fib20_no_wait_8th') fig.savefig(os.path.join(path, out)) if __name__ == '__main__': main(sys.argv)