// See https://github.com/manyeyes for more information // Copyright (c) 2023 by manyeyes using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace AliParaformerAsr.Model { public class EncoderConfEntity { private int _output_size = 512; private int _attention_heads = 4; private int _linear_units = 2048; private int _num_blocks = 50; private float _dropout_rate = 0.1F; private float _positional_dropout_rate = 0.1F; private float _attention_dropout_rate= 0.1F; private string _input_layer = "pe"; private string _pos_enc_class = "SinusoidalPositionEncoder"; private bool _normalize_before = true; private int _kernel_size = 11; private int _sanm_shfit = 0; private string _selfattention_layer_type = "sanm"; public int output_size { get => _output_size; set => _output_size = value; } public int attention_heads { get => _attention_heads; set => _attention_heads = value; } public int linear_units { get => _linear_units; set => _linear_units = value; } public int num_blocks { get => _num_blocks; set => _num_blocks = value; } public float dropout_rate { get => _dropout_rate; set => _dropout_rate = value; } public float positional_dropout_rate { get => _positional_dropout_rate; set => _positional_dropout_rate = value; } public float attention_dropout_rate { get => _attention_dropout_rate; set => _attention_dropout_rate = value; } public string input_layer { get => _input_layer; set => _input_layer = value; } public string pos_enc_class { get => _pos_enc_class; set => _pos_enc_class = value; } public bool normalize_before { get => _normalize_before; set => _normalize_before = value; } public int kernel_size { get => _kernel_size; set => _kernel_size = value; } public int sanm_shfit { get => _sanm_shfit; set => _sanm_shfit = value; } public string selfattention_layer_type { get => _selfattention_layer_type; set => _selfattention_layer_type = value; } } }