MCPcopy Create free account
hub / github.com/modelscope/FunASR / __init__

Method __init__

funasr/models/scama/model.py:58–198  ·  view source on GitHub ↗

Initialize SCAMA. Args: specaug: TODO. specaug_conf: Configuration dict for specaug. normalize: TODO. normalize_conf: Configuration dict for normalize. encoder: TODO. encoder_conf: Co

(
        self,
        specaug: str = None,
        specaug_conf: dict = None,
        normalize: str = None,
        normalize_conf: dict = None,
        encoder: str = None,
        encoder_conf: dict = None,
        decoder: str = None,
        decoder_conf: dict = None,
        ctc: str = None,
        ctc_conf: dict = None,
        ctc_weight: float = 0.5,
        predictor: str = None,
        predictor_conf: dict = None,
        predictor_bias: int = 0,
        predictor_weight: float = 0.0,
        input_size: int = 80,
        vocab_size: int = -1,
        ignore_id: int = -1,
        blank_id: int = 0,
        sos: int = 1,
        eos: int = 2,
        lsm_weight: float = 0.0,
        length_normalized_loss: bool = False,
        share_embedding: bool = False,
        **kwargs,
    )

Source from the content-addressed store, hash-verified

56 """
57
58 def __init__(
59 self,
60 specaug: str = None,
61 specaug_conf: dict = None,
62 normalize: str = None,
63 normalize_conf: dict = None,
64 encoder: str = None,
65 encoder_conf: dict = None,
66 decoder: str = None,
67 decoder_conf: dict = None,
68 ctc: str = None,
69 ctc_conf: dict = None,
70 ctc_weight: float = 0.5,
71 predictor: str = None,
72 predictor_conf: dict = None,
73 predictor_bias: int = 0,
74 predictor_weight: float = 0.0,
75 input_size: int = 80,
76 vocab_size: int = -1,
77 ignore_id: int = -1,
78 blank_id: int = 0,
79 sos: int = 1,
80 eos: int = 2,
81 lsm_weight: float = 0.0,
82 length_normalized_loss: bool = False,
83 share_embedding: bool = False,
84 **kwargs,
85 ):
86
87 """Initialize SCAMA.
88
89 Args:
90 specaug: TODO.
91 specaug_conf: Configuration dict for specaug.
92 normalize: TODO.
93 normalize_conf: Configuration dict for normalize.
94 encoder: TODO.
95 encoder_conf: Configuration dict for encoder.
96 decoder: TODO.
97 decoder_conf: Configuration dict for decoder.
98 ctc: TODO.
99 ctc_conf: Configuration dict for ctc.
100 ctc_weight: TODO.
101 predictor: TODO.
102 predictor_conf: Configuration dict for predictor.
103 predictor_bias: TODO.
104 predictor_weight: TODO.
105 input_size: Size/dimension parameter.
106 vocab_size: Size/dimension parameter.
107 ignore_id: TODO.
108 blank_id: TODO.
109 sos: TODO.
110 eos: TODO.
111 lsm_weight: TODO.
112 length_normalized_loss: TODO.
113 share_embedding: TODO.
114 **kwargs: Additional keyword arguments.
115 """

Callers

nothing calls this directly

Calls 4

CTCClass · 0.90
LabelSmoothingLossClass · 0.90
mae_lossClass · 0.90
output_sizeMethod · 0.45

Tested by

no test coverage detected