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