Source code for openspeech.models.listen_attend_spell.configurations

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# Copyright (c) 2021 Soohwan Kim and Sangchun Ha and Soyoung Cho
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from dataclasses import dataclass, field

from openspeech.dataclass.configurations import OpenspeechDataclass


[docs]@dataclass class ListenAttendSpellConfigs(OpenspeechDataclass): r""" This is the configuration class to store the configuration of a :class:`~openspeech.models.ListenAttendSpell`. It is used to initiated an `ListenAttendSpell` model. Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`. Args: model_name (str): Model name (default: listen_attend_spell) num_encoder_layers (int): The number of encoder layers. (default: 3) num_decoder_layers (int): The number of decoder layers. (default: 2) hidden_state_dim (int): The hidden state dimension of encoder. (default: 512) encoder_dropout_p (float): The dropout probability of encoder. (default: 0.3) encoder_bidirectional (bool): If True, becomes a bidirectional encoders (default: True) rnn_type (str): Type of rnn cell (rnn, lstm, gru) (default: lstm) joint_ctc_attention (bool): Flag indication joint ctc attention or not (default: False) max_length (int): Max decoding length. (default: 128) num_attention_heads (int): The number of attention heads. (default: 1) decoder_dropout_p (float): The dropout probability of decoder. (default: 0.2) decoder_attn_mechanism (str): The attention mechanism for decoder. (default: dot) teacher_forcing_ratio (float): The ratio of teacher forcing. (default: 1.0) optimizer (str): Optimizer for training. (default: adam) """ model_name: str = field( default="listen_attend_spell", metadata={"help": "Model name"} ) num_encoder_layers: int = field( default=3, metadata={"help": "The number of encoder layers."} ) num_decoder_layers: int = field( default=2, metadata={"help": "The number of decoder layers."} ) hidden_state_dim: int = field( default=512, metadata={"help": "The hidden state dimension of encoder."} ) encoder_dropout_p: float = field( default=0.3, metadata={"help": "The dropout probability of encoder."} ) encoder_bidirectional: bool = field( default=True, metadata={"help": "If True, becomes a bidirectional encoders"} ) rnn_type: str = field( default="lstm", metadata={"help": "Type of rnn cell (rnn, lstm, gru)"} ) joint_ctc_attention: bool = field( default=False, metadata={"help": "Flag indication joint ctc attention or not"} ) max_length: int = field( default=128, metadata={"help": "Max decoding length."} ) num_attention_heads: int = field( default=1, metadata={"help": "The number of attention heads."} ) decoder_dropout_p: float = field( default=0.2, metadata={"help": "The dropout probability of decoder."} ) decoder_attn_mechanism: str = field( default="dot", metadata={"help": "The attention mechanism for decoder."} ) teacher_forcing_ratio: float = field( default=1.0, metadata={"help": "The ratio of teacher forcing. "} ) optimizer: str = field( default="adam", metadata={"help": "Optimizer for training."} )
[docs]@dataclass class ListenAttendSpellWithLocationAwareConfigs(OpenspeechDataclass): r""" This is the configuration class to store the configuration of a :class:`~openspeech.models.ListenAttendSpellWithLocationAware`. It is used to initiated an `ListenAttendSpellWithLocationAware` model. Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`. Args: model_name (str): Model name (default: listen_attend_spell_with_location_aware) num_encoder_layers (int): The number of encoder layers. (default: 3) num_decoder_layers (int): The number of decoder layers. (default: 2) hidden_state_dim (int): The hidden state dimension of encoder. (default: 512) encoder_dropout_p (float): The dropout probability of encoder. (default: 0.3) encoder_bidirectional (bool): If True, becomes a bidirectional encoders (default: True) rnn_type (str): Type of rnn cell (rnn, lstm, gru) (default: lstm) joint_ctc_attention (bool): Flag indication joint ctc attention or not (default: False) max_length (int): Max decoding length. (default: 128) num_attention_heads (int): The number of attention heads. (default: 1) decoder_dropout_p (float): The dropout probability of decoder. (default: 0.2) decoder_attn_mechanism (str): The attention mechanism for decoder. (default: loc) teacher_forcing_ratio (float): The ratio of teacher forcing. (default: 1.0) optimizer (str): Optimizer for training. (default: adam) """ model_name: str = field( default="listen_attend_spell_with_location_aware", metadata={"help": "Model name"} ) num_encoder_layers: int = field( default=3, metadata={"help": "The number of encoder layers."} ) num_decoder_layers: int = field( default=2, metadata={"help": "The number of decoder layers."} ) hidden_state_dim: int = field( default=512, metadata={"help": "The hidden state dimension of encoder."} ) encoder_dropout_p: float = field( default=0.3, metadata={"help": "The dropout probability of encoder."} ) encoder_bidirectional: bool = field( default=True, metadata={"help": "If True, becomes a bidirectional encoders"} ) rnn_type: str = field( default="lstm", metadata={"help": "Type of rnn cell (rnn, lstm, gru)"} ) joint_ctc_attention: bool = field( default=False, metadata={"help": "Flag indication joint ctc attention or not"} ) max_length: int = field( default=128, metadata={"help": "Max decoding length."} ) num_attention_heads: int = field( default=1, metadata={"help": "The number of attention heads."} ) decoder_dropout_p: float = field( default=0.2, metadata={"help": "The dropout probability of decoder."} ) decoder_attn_mechanism: str = field( default="loc", metadata={"help": "The attention mechanism for decoder."} ) teacher_forcing_ratio: float = field( default=1.0, metadata={"help": "The ratio of teacher forcing. "} ) optimizer: str = field( default="adam", metadata={"help": "Optimizer for training."} )
[docs]@dataclass class ListenAttendSpellWithMultiHeadConfigs(OpenspeechDataclass): r""" This is the configuration class to store the configuration of a :class:`~openspeech.models.ListenAttendSpellWithMultiHead`. It is used to initiated an `ListenAttendSpellWithMultiHead` model. Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`. Args: model_name (str): Model name (default: listen_attend_spell_with_multi_head) num_encoder_layers (int): The number of encoder layers. (default: 3) num_decoder_layers (int): The number of decoder layers. (default: 2) hidden_state_dim (int): The hidden state dimension of encoder. (default: 512) encoder_dropout_p (float): The dropout probability of encoder. (default: 0.3) encoder_bidirectional (bool): If True, becomes a bidirectional encoders (default: True) rnn_type (str): Type of rnn cell (rnn, lstm, gru) (default: lstm) joint_ctc_attention (bool): Flag indication joint ctc attention or not (default: False) max_length (int): Max decoding length. (default: 128) num_attention_heads (int): The number of attention heads. (default: 4) decoder_dropout_p (float): The dropout probability of decoder. (default: 0.2) decoder_attn_mechanism (str): The attention mechanism for decoder. (default: multi-head) teacher_forcing_ratio (float): The ratio of teacher forcing. (default: 1.0) optimizer (str): Optimizer for training. (default: adam) """ model_name: str = field( default="listen_attend_spell_with_multi_head", metadata={"help": "Model name"} ) num_encoder_layers: int = field( default=3, metadata={"help": "The number of encoder layers."} ) num_decoder_layers: int = field( default=2, metadata={"help": "The number of decoder layers."} ) hidden_state_dim: int = field( default=512, metadata={"help": "The hidden state dimension of encoder."} ) encoder_dropout_p: float = field( default=0.3, metadata={"help": "The dropout probability of encoder."} ) encoder_bidirectional: bool = field( default=True, metadata={"help": "If True, becomes a bidirectional encoders"} ) rnn_type: str = field( default="lstm", metadata={"help": "Type of rnn cell (rnn, lstm, gru)"} ) joint_ctc_attention: bool = field( default=False, metadata={"help": "Flag indication joint ctc attention or not"} ) max_length: int = field( default=128, metadata={"help": "Max decoding length."} ) num_attention_heads: int = field( default=4, metadata={"help": "The number of attention heads."} ) decoder_dropout_p: float = field( default=0.2, metadata={"help": "The dropout probability of decoder."} ) decoder_attn_mechanism: str = field( default="multi-head", metadata={"help": "The attention mechanism for decoder."} ) teacher_forcing_ratio: float = field( default=1.0, metadata={"help": "The ratio of teacher forcing. "} ) optimizer: str = field( default="adam", metadata={"help": "Optimizer for training."} )
[docs]@dataclass class JointCTCListenAttendSpellConfigs(OpenspeechDataclass): r""" This is the configuration class to store the configuration of a :class:`~openspeech.models.JointCTCListenAttendSpell`. It is used to initiated an `JointCTCListenAttendSpell` model. Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`. Args: model_name (str): Model name (default: joint_ctc_listen_attend_spell) num_encoder_layers (int): The number of encoder layers. (default: 3) num_decoder_layers (int): The number of decoder layers. (default: 2) hidden_state_dim (int): The hidden state dimension of encoder. (default: 768) encoder_dropout_p (float): The dropout probability of encoder. (default: 0.3) encoder_bidirectional (bool): If True, becomes a bidirectional encoders (default: True) rnn_type (str): Type of rnn cell (rnn, lstm, gru) (default: lstm) joint_ctc_attention (bool): Flag indication joint ctc attention or not (default: True) max_length (int): Max decoding length. (default: 128) num_attention_heads (int): The number of attention heads. (default: 1) decoder_dropout_p (float): The dropout probability of decoder. (default: 0.2) decoder_attn_mechanism (str): The attention mechanism for decoder. (default: loc) teacher_forcing_ratio (float): The ratio of teacher forcing. (default: 1.0) optimizer (str): Optimizer for training. (default: adam) """ model_name: str = field( default="joint_ctc_listen_attend_spell", metadata={"help": "Model name"} ) num_encoder_layers: int = field( default=3, metadata={"help": "The number of encoder layers."} ) num_decoder_layers: int = field( default=2, metadata={"help": "The number of decoder layers."} ) hidden_state_dim: int = field( default=768, metadata={"help": "The hidden state dimension of encoder."} ) encoder_dropout_p: float = field( default=0.3, metadata={"help": "The dropout probability of encoder."} ) encoder_bidirectional: bool = field( default=True, metadata={"help": "If True, becomes a bidirectional encoders"} ) rnn_type: str = field( default="lstm", metadata={"help": "Type of rnn cell (rnn, lstm, gru)"} ) joint_ctc_attention: bool = field( default=True, metadata={"help": "Flag indication joint ctc attention or not"} ) max_length: int = field( default=128, metadata={"help": "Max decoding length."} ) num_attention_heads: int = field( default=1, metadata={"help": "The number of attention heads."} ) decoder_dropout_p: float = field( default=0.2, metadata={"help": "The dropout probability of decoder."} ) decoder_attn_mechanism: str = field( default="loc", metadata={"help": "The attention mechanism for decoder."} ) teacher_forcing_ratio: float = field( default=1.0, metadata={"help": "The ratio of teacher forcing. "} ) optimizer: str = field( default="adam", metadata={"help": "Optimizer for training."} )
[docs]@dataclass class DeepCNNWithJointCTCListenAttendSpellConfigs(OpenspeechDataclass): r""" This is the configuration class to store the configuration of a :class:`~openspeech.models.DeepCNNWithJointCTCListenAttendSpell`. It is used to initiated an `DeepCNNWithJointCTCListenAttendSpell` model. Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`. Args: model_name (str): Model name (default: deep_cnn_with_joint_ctc_listen_attend_spell) num_encoder_layers (int): The number of encoder layers. (default: 3) num_decoder_layers (int): The number of decoder layers. (default: 2) hidden_state_dim (int): The hidden state dimension of encoder. (default: 768) encoder_dropout_p (float): The dropout probability of encoder. (default: 0.3) encoder_bidirectional (bool): If True, becomes a bidirectional encoders (default: True) rnn_type (str): Type of rnn cell (rnn, lstm, gru) (default: lstm) extractor (str): The CNN feature extractor. (default: vgg) activation (str): Type of activation function (default: str) joint_ctc_attention (bool): Flag indication joint ctc attention or not (default: True) max_length (int): Max decoding length. (default: 128) num_attention_heads (int): The number of attention heads. (default: 1) decoder_dropout_p (float): The dropout probability of decoder. (default: 0.2) decoder_attn_mechanism (str): The attention mechanism for decoder. (default: loc) teacher_forcing_ratio (float): The ratio of teacher forcing. (default: 1.0) optimizer (str): Optimizer for training. (default: adam) """ model_name: str = field( default="deep_cnn_with_joint_ctc_listen_attend_spell", metadata={"help": "Model name"} ) num_encoder_layers: int = field( default=3, metadata={"help": "The number of encoder layers."} ) num_decoder_layers: int = field( default=2, metadata={"help": "The number of decoder layers."} ) hidden_state_dim: int = field( default=768, metadata={"help": "The hidden state dimension of encoder."} ) encoder_dropout_p: float = field( default=0.3, metadata={"help": "The dropout probability of encoder."} ) encoder_bidirectional: bool = field( default=True, metadata={"help": "If True, becomes a bidirectional encoders"} ) rnn_type: str = field( default="lstm", metadata={"help": "Type of rnn cell (rnn, lstm, gru)"} ) extractor: str = field( default="vgg", metadata={"help": "The CNN feature extractor."} ) activation: str = field( default="hardtanh", metadata={"help": "Type of activation function"} ) joint_ctc_attention: bool = field( default=True, metadata={"help": "Flag indication joint ctc attention or not"} ) max_length: int = field( default=128, metadata={"help": "Max decoding length."} ) num_attention_heads: int = field( default=1, metadata={"help": "The number of attention heads."} ) decoder_dropout_p: float = field( default=0.2, metadata={"help": "The dropout probability of decoder."} ) decoder_attn_mechanism: str = field( default="loc", metadata={"help": "The attention mechanism for decoder."} ) teacher_forcing_ratio: float = field( default=1.0, metadata={"help": "The ratio of teacher forcing."} ) optimizer: str = field( default="adam", metadata={"help": "Optimizer for training."} )