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136 lines
5.1 KiB
Python
136 lines
5.1 KiB
Python
################################################################################
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#
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# Copyright (C) 2016-2022 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 THE
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# SOFTWARE.
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#
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################################################################################
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import argparse
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import os
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import yaml
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import sys
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sys.path.append(os.path.join(os.path.dirname(sys.path[0]),'..','Tensile'))
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from DataType import DataType
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from yaml import SafeDumper as yamlDumper
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from yaml import SafeLoader as yamlLoader
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def parseArgs():
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argParser = argparse.ArgumentParser()
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h = {"inDir" : "Directory containing input logic files", \
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"outDir" : "Output directory for modified logic files", \
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"sclk" : "SCLK frequency in MHz tuning was done at", \
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"specs" : ".yaml file containing hardware specifications", \
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"per-cu" : "If tuning was done per CU", \
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"name" : "Name substring to filter which files are modified", \
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"mfma" : "If MFMA instructions were used for tuning", \
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"x" : "to select A (default), or X node", \
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"mi50" : "For vega20, if tuning was done on mi50"
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}
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argParser.add_argument("inDir", metavar="input-dir", type=str, help=h["inDir"])
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argParser.add_argument("outDir", metavar="output-dir", type=str, help=h["outDir"])
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argParser.add_argument("sclk", type=int, help=h["sclk"])
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argParser.add_argument("specs", metavar="hardware-specs", nargs="?", type=str, default="default_specs.yaml", help=h["specs"])
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argParser.add_argument("-p", "--per-cu", action="store_true", help=h["per-cu"])
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argParser.add_argument("-n", "--name", type=str, help=h["name"])
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argParser.add_argument("-m", "--mfma", action="store_true", help=h["mfma"])
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argParser.add_argument("-x", action="store_true", help=h["x"])
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argParser.add_argument("--mi50", action="store_true", help=h["mi50"])
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return argParser.parse_args()
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def allFiles(startDir):
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current = os.listdir(startDir)
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files = []
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for filename in current:
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fullPath = os.path.join(startDir, filename)
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if os.path.isdir(fullPath):
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files = files + allFiles(fullPath)
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else:
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files.append(fullPath)
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return files
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# sclk: MHz
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# alu: flops/cycle/CU
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def peakGFlops(sclk, alu, numCUs):
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return (sclk / 1000) * alu * numCUs
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def main():
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args = parseArgs()
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mfmaKey = "mfma" if args.mfma else "non_mfma"
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with open(args.specs) as y:
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specs = yaml.load(y, yamlLoader)
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try:
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os.makedirs(args.outDir)
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except OSError:
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pass
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files = allFiles(args.inDir)
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for f in files:
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if not args.name or args.name in f:
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print(f)
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with open(f) as y:
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data = yaml.load(y, yamlLoader)
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sched = data[1]
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if args.x:
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sched+="X"
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type = DataType(data[4]["DataType"]).toChar()
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if type=="S" and data[4]["F32XdlMathOp"]==9:
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type="X"
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if type in specs[sched][mfmaKey]:
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alu = specs[sched][mfmaKey][type]
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else:
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print("error: {} data type does not exist in the spec file. Modify the spec file.".format(type))
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return
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# get CU count
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if args.per_cu:
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numCUs = 1
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elif sched == "vega20":
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gpu = "mi50" if args.mi50 else "mi60"
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numCUs = specs[sched]["numCUs"][gpu]
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else:
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numCUs = specs[sched]["numCUs"]
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peak = peakGFlops(args.sclk, alu, numCUs)
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# update each entry
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for entry in data[7]:
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print("Size: ", entry[0])
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eff = entry[1][1] / peak
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entry[1][1] = round (100 * eff, 3)
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print("Efficiency: ", entry[1][1])
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print()
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fName = os.path.basename(f)
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outFile = os.path.join(args.outDir, fName)
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with open(outFile, "w") as y:
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yaml.dump(data, y, yamlDumper, default_flow_style=None)
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if __name__ == "__main__":
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main()
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