args.py

#   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(
        "--dataset", type=str, help="Dataset name. Now ptb|yahoo is supported.")

    parser.add_argument(
        "--learning_rate",
        type=float,
        default=0.001,
        help="Learning rate of optimizer.")

    parser.add_argument(
        "--num_layers",
        type=int,
        default=1,
        help="The number of layers of encoder and decoder.")

    parser.add_argument(
        "--embed_dim",
        type=int,
        default=256,
        help="Embedding dim of encoder and decoder.")

    parser.add_argument(
        "--hidden_size",
        type=int,
        default=256,
        help="Hidden size of encoder and decoder.")

    parser.add_argument(
        "--latent_size",
        type=int,
        default=32,
        help="Latent size of Variational Auto Encoder.")

    parser.add_argument("--batch_size", type=int, help="Batch size.")

    parser.add_argument(
        "--max_epoch", type=int, default=20, help="Max epoch of training.")

    parser.add_argument(
        "--max_len",
        type=int,
        default=1280,
        help="Max length of source and target sentence.")

    parser.add_argument(
        "--log_freq", type=int, default=200, help="Log frequency")

    parser.add_argument(
        "--dec_dropout",
        type=float,
        default=0.5,
        help="Drop probability of decoder")

    parser.add_argument(
        "--enc_dropout",
        type=float,
        default=0.,
        help="Drop probability of encoder.")

    parser.add_argument(
        "--init_scale",
        type=float,
        default=0.0,
        help="Init scale for parameter.")

    parser.add_argument(
        "--max_grad_norm",
        type=float,
        default=5.0,
        help="Max grad norm of global norm clip.")

    parser.add_argument(
        "--model_path",
        type=str,
        default='model',
        help="Model path for model to save.")

    parser.add_argument(
        "--infer_output_file",
        type=str,
        default='infer_output.txt',
        help="File name to save inference output.")

    parser.add_argument(
        "--beam_size", type=int, default=1, help="Beam size for Beam search.")

    parser.add_argument(
        "--device",
        default="gpu",
        choices=["gpu", "cpu", "xpu"],
        help="Device selected for inference.")

    parser.add_argument(
        "--warm_up",
        type=int,
        default=10,
        help='The number of warm up epoch for KL.')

    parser.add_argument(
        "--kl_start",
        type=float,
        default=0.1,
        help='KL start value, up to 1.0.')

    parser.add_argument(
        "--init_from_ckpt",
        type=str,
        default=None,
        help="The path of checkpoint to be loaded.")

    args = parser.parse_args()
    return args