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- # Copyright (c) 2020 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.
-
- import argparse
-
-
- def parse_args():
- parser = argparse.ArgumentParser(description=__doc__)
-
- parser.add_argument(
- "--learning_rate",
- type=float,
- default=0.001,
- help="learning rate for optimizer")
-
- parser.add_argument(
- "--num_layers",
- type=int,
- default=1,
- help="layers number of encoder and decoder")
-
- parser.add_argument(
- "--hidden_size",
- type=int,
- default=100,
- help="hidden size of encoder and decoder")
-
- parser.add_argument(
- "--batch_size", type=int, default=128, help="Batch size of each step")
-
- parser.add_argument(
- "--max_epoch", type=int, default=50, help="max epoch for the training")
-
- parser.add_argument(
- "--max_len",
- type=int,
- default=50,
- help="max length for source and target sentence")
-
- parser.add_argument(
- "--max_grad_norm",
- type=float,
- default=5.0,
- help="max grad norm for global norm clip")
-
- parser.add_argument(
- "--log_freq",
- type=int,
- default=200,
- help="The frequency to print training logs")
-
- parser.add_argument(
- "--model_path",
- type=str,
- default='model',
- help="model path for model to save")
-
- parser.add_argument(
- "--init_from_ckpt",
- type=str,
- default=None,
- help="The path of checkpoint to be loaded.")
-
- parser.add_argument(
- "--infer_output_file",
- type=str,
- default='infer_output',
- help="file name for inference output")
-
- parser.add_argument(
- "--beam_size", type=int, default=10, help="file name for inference")
-
- parser.add_argument(
- "--device",
- default="gpu",
- choices=["gpu", "cpu", "xpu"],
- help="Device selected for inference.")
-
- args = parser.parse_args()
- return args
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