derek.holloway
7502bf64a4
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68 lines
2.6 KiB
Python
68 lines
2.6 KiB
Python
"""Copyright (C) 2016-2023 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
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ies of the Software, and to permit persons to whom the Software is furnished
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to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
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PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
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CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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"""
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# to use this script, you will need to download and install the 32-BIT VERSION of:
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# - Python 2.7 x86 (32-bit) - https://www.python.org/download/releases/2.7.1
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#
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# you will also need the 32-BIT VERSIONS of the following packages as not all the packages are available in 64bit at the time of this writing
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# The ActiveState python distribution is recommended for windows
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# (make sure to get the python 2.7-compatible packages):
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# - NumPy 1.5.1 (32-bit, 64-bit unofficial, supports Python 2.4 - 2.7 and 3.1 - 3.2.) - https://sourceforge.net/projects/numpy/files/NumPy/
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# - matplotlib 1.0.1 (32-bit & 64-bit, supports Python 2.4 - 2.7) - https://sourceforge.net/projects/matplotlib/files/matplotlib/
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#
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# For ActiveState Python, all that one should need to type is 'pypm install matplotlib'
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import datetime
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import sys
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import argparse
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import subprocess
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import itertools
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import os
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import matplotlib.pyplot as plt
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import pylab
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from matplotlib.backends.backend_pdf import PdfPages
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os.system( "grep NT sgemm.txt > sgemm_NT.csv" )
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input = open ('sgemm_NT.csv', 'r')
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x = []
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y = []
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shape = ''
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for line in input:
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line = line.replace("(", ",")
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line = line.replace(")", ",")
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value = line.split(',')
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x.append(value[1])
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y.append(value[7])
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shape = value[0]
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#print value
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f = plt.figure()
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plt.rcParams.update({'font.size':20})
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plt.xlabel('M=N=K')
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plt.ylabel("Gflop/s")
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plt.title('rocBLAS SGEMM ' + shape)
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plt.yticks()
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plt.grid(True)
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plt.legend( loc = 2)
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plot1 = plt.plot(x, y)
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f.savefig("sgemm.pdf", bbox_inches='tight')
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input.close()
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