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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

67 lines
2.2 KiB
Python

################################################################################
#
# Copyright (C) 2016-2022 Advanced Micro Devices, Inc. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
################################################################################
import os
import sys
import argparse
import re
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def RunPlot():
userArgs = sys.argv[1:]
argParser = argparse.ArgumentParser()
argParser.add_argument("current_file", help="path where the current results are located")
argParser.add_argument("plot_file", help="path of plot")
args = argParser.parse_args(userArgs)
currentFileName = args.current_file
plotFileName = args.plot_file
current_data = pd.read_csv(currentFileName)
headers = current_data.columns.values.tolist()
n_series = current_data['N']
p_series = current_data['speedup']
fig, ax = plt.subplots()
ax.plot(n_series,p_series,'+')
ax.set_xlabel("N")
ax.set_ylabel("speedup")
fig.savefig(plotFileName, dpi=300, facecolor="#f1f1f1")
if __name__ == "__main__":
RunPlot()