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162 lines
7.2 KiB
Python
Executable File
162 lines
7.2 KiB
Python
Executable File
#!/usr/bin/env python3
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# ########################################################################
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# Copyright (C) 2019-2022 Advanced Micro Devices, Inc. All rights Reserved.
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#
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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
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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#
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# ########################################################################
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import argparse
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import subprocess
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import os
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import re # regexp package
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import sys
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import tempfile
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import json
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import xml.etree.ElementTree as ET
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('-v', '--verbose', required=False, default = False, action = "store_true")
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parser.add_argument('-t', '--tol', required=True, default = 2.0,type=float)
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user_args, unknown_args = parser.parse_known_args()
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verbose=user_args.verbose
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percentage_tol = user_args.tol
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data = []
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num_files = len(unknown_args)
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titles = []
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for file_index in range(num_files):
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titles.append(os.path.basename(os.path.splitext(unknown_args[file_index])[0]))
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for file_index in range(num_files):
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with open(unknown_args[file_index],"r") as f:
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data.append(json.load(f))
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cmd = [d['cmdline'] for d in data]
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xargs = [d['xargs'] for d in data]
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yargs = [d['yargs'] for d in data]
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samples = [d['results'] for d in data]
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num_samples = len(samples[0])
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len_xargs = len(xargs[0])
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if verbose:
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print('//rocsparse-bench-regression CONFIG')
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for i in range(num_files):
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print('//rocsparse-bench-regression file'+str(i) +' : \'' + unknown_args[i] + '\'')
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print('//rocsparse-bench-regression COMPARISON')
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####
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for i in range(1,num_files):
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if xargs[0] != xargs[i]:
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print('xargs\'s must be equal, xargs from file \''+unknown_args[i]+'\' is not equal to xargs from file \''+unknown_args[0]+'\'')
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exit(1)
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if verbose:
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print('//rocsparse-bench-regression - xargs checked.')
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####
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for i in range(1,num_files):
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if yargs[0] != yargs[i]:
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print('yargs\'s must be equal, yargs from file \''+unknown_args[i]+'\' is not equal to yargs from file \''+unknown_args[0]+'\'')
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exit(1)
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if verbose:
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print('//rocsparse-bench-regression - yargs checked.')
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####
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for i in range(1,num_files):
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if num_samples != len(samples[i]):
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print('num_samples\'s must be equal, num_samples from file \''+unknown_args[i]+'\' is not equal to num_samples from file \''+unknown_args[0]+'\'')
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exit(1)
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if verbose:
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print('//rocsparse-bench-regression - num samples checked.')
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####
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if verbose:
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print('//rocsparse-bench-regression percentage_tol: ' + str(percentage_tol) + '%')
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global_regression=False
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for file_index in range(1,num_files):
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print("//rocsparse-bench-regression - '"+ unknown_args[file_index])
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for iplot in range(len(yargs[0])):
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print('//rocsparse-bench-regression plot index ' + str(iplot) + ': \'' + yargs[0][iplot] + '\'',end='')
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mx_rel_flops=0
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mx_rel_time=0
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mx_rel_bandwidth=0
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mn_rel_flops=0
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mn_rel_time=0
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mn_rel_bandwidth=0
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regression=False
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for ixarg in range(len_xargs):
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isample = iplot * len_xargs + ixarg
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tg = samples[file_index][isample]["timing"]
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tg0=samples[0][isample]["timing"]
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rel_flops = 100*(float(tg["flops"][0])-float(tg0["flops"][0]))/float(tg0["flops"][0])
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rel_time = 100*(float(tg["time"][0])-float(tg0["time"][0]))/float(tg0["time"][0])
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rel_bandwidth = 100*(float(tg["bandwidth"][0])-float(tg0["bandwidth"][0]))/float(tg0["bandwidth"][0])
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if ixarg > 0:
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mx_rel_flops=max(mx_rel_flops,rel_flops)
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mn_rel_flops=min(mn_rel_flops,rel_flops)
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mx_rel_time=max(mx_rel_time,rel_time)
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mn_rel_time=min(mn_rel_time,rel_time)
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mx_rel_bandwidth=max(mx_rel_bandwidth,rel_bandwidth)
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mn_rel_bandwidth=min(mn_rel_bandwidth,rel_bandwidth)
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else:
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mx_rel_flops=rel_flops
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mn_rel_flops=rel_flops
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mx_rel_time=rel_time
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mn_rel_time=rel_time
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mx_rel_bandwidth=rel_bandwidth
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mn_rel_bandwidth=rel_bandwidth
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if (rel_flops < -percentage_tol) or (rel_time < -percentage_tol) or (rel_bandwidth < -percentage_tol):
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print("")
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if (rel_flops < -percentage_tol):
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regression=True
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print("//rocsparse-bench-regression FAIL flops exceeds tolerance of " + str(percentage_tol) + "%, [" +"{:.2f}".format(mn_rel_flops) + "," + "{:.2f}".format(mx_rel_flops) + "] from '" + xargs[file_index][ixarg] + "'")
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if (rel_time < -percentage_tol):
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regression=True
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print("//rocsparse-bench-regression FAIL time exceeds tolerance of " + str(percentage_tol) + "%, [" +"{:.2f}".format(mn_rel_time) + "," + "{:.2f}".format(mx_rel_time) + "] from '" + xargs[file_index][ixarg] + "'")
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if (rel_bandwidth < -percentage_tol):
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regression=True
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print("//rocsparse-bench-regression FAIL bandwidth exceeds tolerance of " + str(percentage_tol) + "%, [" +"{:.2f}".format(mn_rel_bandwidth) + "," + "{:.2f}".format(mx_rel_bandwidth) + "] from '" + xargs[file_index][ixarg] + "'")
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if regression:
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global_regression=True
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if regression:
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print('//rocsparse-bench-regression plot index ' + str(iplot) + ': \'' + yargs[0][iplot] + '\' FAILED')
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else:
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print(" PASSED")
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if verbose:
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print("//rocsparse-bench-regression flops [" +"{:.2f}".format(mn_rel_flops) + "," + "{:.2f}".format(mx_rel_flops) + "], " + "time [" +"{:.2f}".format(mn_rel_time) + "," + "{:.2f}".format(mx_rel_time) + "], " + "bandwidth [" +"{:.2f}".format(mn_rel_bandwidth) + "," + "{:.2f}".format(mx_rel_bandwidth) + "]")
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if global_regression:
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exit(1)
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else:
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exit(0)
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if __name__ == "__main__":
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main()
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