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

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