mirror of
https://github.com/nod-ai/SHARK-Studio.git
synced 2026-01-10 06:17:55 -05:00
82 lines
2.1 KiB
Python
82 lines
2.1 KiB
Python
# Copyright 2020 The Nod Team. All rights reserved.
|
|
#
|
|
# 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
|
|
|
|
|
|
def dir_path(path):
|
|
if os.path.isdir(path):
|
|
return path
|
|
else:
|
|
raise argparse.ArgumentTypeError(
|
|
f"readable_dir:{path} is not a valid path"
|
|
)
|
|
|
|
|
|
def dir_file(path):
|
|
if os.path.isfile(path):
|
|
return path
|
|
else:
|
|
raise argparse.ArgumentTypeError(
|
|
f"readable_file:{path} is not a valid file"
|
|
)
|
|
|
|
|
|
parser = argparse.ArgumentParser(description="SHARK runner.")
|
|
parser.add_argument(
|
|
"--device",
|
|
type=str,
|
|
default="cpu",
|
|
help="Device on which shark_runner runs. options are cpu, gpu, and vulkan",
|
|
)
|
|
parser.add_argument(
|
|
"--repro_dir",
|
|
help="Directory to which module files will be saved for reproduction or debugging.",
|
|
type=dir_path,
|
|
default="/tmp/",
|
|
)
|
|
parser.add_argument(
|
|
"--save_mlir",
|
|
default=False,
|
|
action="store_true",
|
|
help="Saves input MLIR module to /tmp/ directory.",
|
|
)
|
|
parser.add_argument(
|
|
"--save_vmfb",
|
|
default=False,
|
|
action="store_true",
|
|
help="Saves iree .vmfb module to /tmp/ directory.",
|
|
)
|
|
parser.add_argument(
|
|
"--model_config_path",
|
|
help="Directory to where the tuned model config file is located.",
|
|
default=None,
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--num_warmup_iterations",
|
|
type=int,
|
|
default=2,
|
|
help="Run the model for the specified number of warmup iterations.",
|
|
)
|
|
parser.add_argument(
|
|
"--num_iterations",
|
|
type=int,
|
|
default=1,
|
|
help="Run the model for the specified number of iterations.",
|
|
)
|
|
|
|
shark_args, unknown = parser.parse_known_args()
|