# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # 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. from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import distutils.util def str2bool(v): if v.lower() in ('yes', 'true', 't', 'y', '1'): return True elif v.lower() in ('no', 'false', 'f', 'n', '0'): return False else: raise argparse.ArgumentTypeError('Unsupported value encountered.') def parse_args(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument( "--model_type", type=str, default="small", help="model_type [test|small|medium|large]") parser.add_argument( "--rnn_model", type=str, default="static", help="model_type [static|padding|cudnn|basic_lstm]") parser.add_argument( "--data_path", type=str, help="all the data for train,valid,test") parser.add_argument('--para_init', action='store_true') parser.add_argument( '--use_gpu', type=str2bool, default=False, help='Whether using gpu [True|False]') parser.add_argument( '--parallel', type=str2bool, default=True, help='Whether using gpu in parallel [True|False]') parser.add_argument( '--profile', type=str2bool, default=False, help='Whether profiling the trainning [True|False]') parser.add_argument( '--use_dataloader', type=str2bool, default=False, help='Whether using dataloader to feed data [True|False]') parser.add_argument( '--log_path', help='path of the log file. If not set, logs are printed to console') parser.add_argument( '--save_model_dir', type=str, default="models", help='dir of the saved model.') parser.add_argument('--enable_ce', action='store_true') parser.add_argument('--batch_size', type=int, default=0, help='batch size') parser.add_argument('--max_epoch', type=int, default=0, help='max epoch') args = parser.parse_args() return args