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92 lines
3.3 KiB
92 lines
3.3 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" config. """
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import argparse
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def argparse_init():
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"""
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argparse_init
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"""
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parser = argparse.ArgumentParser(description='WideDeep')
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parser.add_argument("--data_path", type=str, default="./test_raw_data/")
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parser.add_argument("--epochs", type=int, default=15)
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parser.add_argument("--batch_size", type=int, default=10000)
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parser.add_argument("--eval_batch_size", type=int, default=15)
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parser.add_argument("--field_size", type=int, default=39)
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parser.add_argument("--vocab_size", type=int, default=184965)
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parser.add_argument("--emb_dim", type=int, default=80)
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parser.add_argument("--deep_layer_dim", type=int, nargs='+', default=[1024, 512, 256, 128])
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parser.add_argument("--deep_layer_act", type=str, default='relu')
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parser.add_argument("--keep_prob", type=float, default=1.0)
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parser.add_argument("--output_path", type=str, default="./output/")
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parser.add_argument("--ckpt_path", type=str, default="./checkpoints/")
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parser.add_argument("--eval_file_name", type=str, default="eval.log")
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parser.add_argument("--loss_file_name", type=str, default="loss.log")
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return parser
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class Config_WideDeep():
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"""
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Config_WideDeep
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"""
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def __init__(self):
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self.data_path = "./test_raw_data/"
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self.epochs = 15
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self.batch_size = 10000
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self.eval_batch_size = 10000
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self.field_size = 39
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self.vocab_size = 184965
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self.emb_dim = 80
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self.deep_layer_dim = [1024, 512, 256, 128]
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self.deep_layer_act = 'relu'
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self.weight_bias_init = ['normal', 'normal']
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self.emb_init = 'normal'
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self.init_args = [-0.01, 0.01]
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self.dropout_flag = False
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self.keep_prob = 1.0
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self.l2_coef = 8e-5
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self.output_path = "./output"
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self.eval_file_name = "eval.log"
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self.loss_file_name = "loss.log"
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self.ckpt_path = "./checkpoints/"
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def argparse_init(self):
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"""
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argparse_init
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"""
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parser = argparse_init()
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args, _ = parser.parse_known_args()
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self.epochs = args.epochs
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self.batch_size = args.batch_size
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self.eval_batch_size = args.eval_batch_size
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self.field_size = args.field_size
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self.vocab_size = args.vocab_size
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self.emb_dim = args.emb_dim
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self.deep_layer_dim = args.deep_layer_dim
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self.deep_layer_act = args.deep_layer_act
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self.keep_prob = args.keep_prob
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self.weight_bias_init = ['normal', 'normal']
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self.emb_init = 'normal'
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self.init_args = [-0.01, 0.01]
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self.dropout_flag = False
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self.l2_coef = 8e-5
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self.output_path = args.output_path
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self.eval_file_name = args.eval_file_name
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self.loss_file_name = args.loss_file_name
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self.ckpt_path = args.ckpt_path
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