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#! /bin/python3
################################################################################
# Copyright 2025 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
################################################################################
import argparse
import os
import sys
from tempfile import NamedTemporaryFile
from matmul import sampler as matmul_sampler
from matmul import primitive as matmul
def log(output):
print("synthdnn: " + output)
def error(output):
print("synthdnn: error: " + output)
exit(1)
def write_batch_file(batch_file, samples):
batch_file.write("#### Auto-generated by synthdnn\n")
batch_file.write(f"#### python3 synthdnn.py {' '.join(sys.argv[1:])}\n\n")
for s in samples:
batch_file.write(f"--reset {s.benchdnn_str()}\n")
batch_file.flush()
def setup_collect_subparser(subparsers):
collect_parser = subparsers.add_parser(
"collect", help="call with -h for information"
)
collect_parser.add_argument(
"--subprogram_main", default=collect_main, help=argparse.SUPPRESS
)
collect_parser.add_argument(
"-b",
"--batch-file",
required=True,
help="batch file used for the operation",
)
# Interface with benchdnn
collect_parser.add_argument(
"benchdnn", help="path to benchdnn executable"
)
collect_parser.add_argument(
"--engine", default="cpu", help="engine used for benchdnn execution"
)
collect_parser.add_argument(
"--impl",
default=None,
help="implementation to use in benchdnn execution",
)
collect_parser.add_argument(
"--skip-impl",
default=None,
help="implementation to skip in benchdnn execution",
)
collect_parser.add_argument(
"--collect",
default="corr",
help="benchdnn collection type, can be one of [corr, perf]",
)
collect_parser.add_argument("-n", "--name", default="", help="sample name")
def get_optional_args(args):
optional_args = []
if args.impl:
optional_args.append(f"--impl={args.impl}")
if args.skip_impl:
optional_args.append(f"--skip-impl={args.skip_impl}")
if len(optional_args) > 0:
return " ".join(optional_args) + " "
return ""
def collect_main(args):
# args.benchdnn may be a list depending on command line setup
benchdnn = args.benchdnn
if type(benchdnn) is list:
benchdnn = benchdnn[0]
if not os.path.exists(benchdnn):
error(f"cannot execute {benchdnn}, no such file exists")
if args.collect == "corr":
benchdnn_args = f"--engine={args.engine} --matmul --mode-modifier=P {get_optional_args(args)}"
elif args.collect == "perf":
benchdnn_args = f"--engine={args.engine} --matmul --mode=F --cold-cache=all --perf-template=sample,{args.name},%prb%,%0Gflops%,%0Gbw% --memory-kind=usm_device --attr-scratchpad=user {get_optional_args(args)}"
if args.name.find(",") != -1:
error(f"sample name {args.name} contains invalid character: ,")
else:
error(f"unknown collection method {args.collect}")
cmd = f"{benchdnn} {benchdnn_args} --batch={args.batch_file}"
log(f"executing: {cmd}")
ret = os.system(cmd)
log("execution complete")
if ret != 0:
error(f"execution of {cmd} failed with return code {ret}")
def setup_matmul_subparser(subparsers):
matmul_parser = subparsers.add_parser(
"matmul", help="call with -h for information"
)
matmul_parser.add_argument(
"--subprogram_main", default=matmul_main, help=argparse.SUPPRESS
)
matmul_parser.add_argument(
"-b",
"--batch-file",
default=None,
help="batch file to write results to",
)
# Sampler Arguments
matmul_parser.add_argument(
"-l",
"--layouts",
default="all",
help='stag:wtag:dtag, comma separated list of layouts or "all" for every supported layout',
)
matmul_parser.add_argument(
"-m",
"--iter-mode",
default="zip",
help="iteration mode, must be one of zip or product",
)
matmul_parser.add_argument(
"-r",
"--region",
default="(1,1,1,1):(8,8192,8192,8192):(1,1,1,1)",
help="([b_min,]m_min,n_min,k_min):([b_max,]m_max,n_max,k_max):([b_align,]m_align,n_align,k_align)",
)
matmul_parser.add_argument(
"-s", "--samples", default=1000, help="number of samples to collect"
)
matmul_parser.add_argument(
"-t",
"--types",
default="*",
help='dt:dt:dt(optional fpmath-mode), comma separated list of type configurations. "%%N" will match the Nth given data type. Giving a single data type instead of 3 will match any supported configurations using that type.',
)
def matmul_main(args):
batch_file = (
open(args.batch_file, "w+t") if args.batch_file is not None else None
)
region = matmul_sampler.Region(args.region)
types = matmul.Types(args.types)
layouts = matmul.Layouts(args.layouts, region.ndims - 1)
samples = matmul_sampler.Sampler(
int(args.samples), args.iter_mode, types, layouts, region
)
if batch_file:
log(f"generating batch file: {args.batch_file}")
write_batch_file(batch_file, samples)
log(f"generation complete")
else:
write_batch_file(sys.stdout, samples)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers(
help="primitive targeted for data collection"
)
setup_collect_subparser(subparsers)
setup_matmul_subparser(subparsers)
args = parser.parse_args()
args.subprogram_main(args)
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