args.py

#   Copyright (c) 2019 PaddlePaddle Authors. 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.
"""Arguments for configuration."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import six
import argparse

import paddle.fluid as fluid


def str2bool(v):
    # because argparse does not support to parse "true, False" as python
    # boolean directly
    return v.lower() in ("true", "t", "1")


class ArgumentGroup(object):
    def __init__(self, parser, title, des):
        self._group = parser.add_argument_group(title=title, description=des)

    def add_arg(self, name, type, default, help, **kwargs):
        type = str2bool if type == bool else type
        self._group.add_argument(
            "--" + name,
            default=default,
            type=type,
            help=help + ' Default: %(default)s.',
            **kwargs)


def print_arguments(args):
    print('-----------  Configuration Arguments -----------')
    for arg, value in sorted(six.iteritems(vars(args))):
        print('%s: %s' % (arg, value))
    print('------------------------------------------------')


def check_cuda(use_cuda, err = \
    "\nYou can not set use_cuda = True in the model because you are using paddlepaddle-cpu.\n \
    Please: 1. Install paddlepaddle-gpu to run your models on GPU or 2. Set use_cuda = False to run models on CPU.\n"
                                                                                                                     ):
    try:
        if use_cuda == True and fluid.is_compiled_with_cuda() == False:
            print(err)
            sys.exit(1)
    except Exception as e:
        pass