# Copyright 2022 Cerebras Systems.
#
# 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.
""" PyTorch CLI Utilities"""
import argparse
import inspect
import os
import sys
from typing import Callable, List, Optional
from modelzoo.common.run_utils.cli_parser import (
get_params_from_args as base_get_params_from_args,
)
from modelzoo.common.run_utils.utils import DeviceType
[docs]def get_params_from_args(
run_dir: Optional[str] = None,
extra_args_parser_fn: Optional[
Callable[[], List[argparse.ArgumentParser]]
] = None,
):
"""Parse commandline and return params """
if not run_dir:
parent = inspect.getouterframes(inspect.currentframe())[1]
run_dir = os.path.dirname(os.path.abspath(parent.filename))
def pytorch_specific_args_parser():
extra_args = extra_args_parser_fn() if extra_args_parser_fn else {}
if isinstance(extra_args, list):
for item in extra_args:
# pylint: disable=protected-access
item._action_groups[
1
].title = "User-Defined and/or Model Specific Arguments"
parser = argparse.ArgumentParser(parents=extra_args, add_help=False)
# Arguments must be added as part of a group in order to propagate the
# correct help message to users.
parser_opt = parser.add_argument_group(
"Optional Arguments, PyTorch Specific"
)
parser_opt.add_argument(
"--num_epochs",
type=int,
default=None,
help="Specifies the number of epochs to run",
)
parser_opt.add_argument(
"--num_steps",
type=int,
default=None,
help="Specifies the number of steps to run",
)
return {
DeviceType.ANY: [parser],
}
# Parse arguments from the command line and get the params
# from the specified config file
params = base_get_params_from_args(
run_dir,
argv=sys.argv[1:],
extra_args_parser_fn=pytorch_specific_args_parser,
)
return params