from transformers import PretrainedConfig


class FelaAsrConfig(PretrainedConfig):
    model_type = "fela-asr-ctc"

    def __init__(
        self,
        vocab=257,
        seq_len=2048,
        n_layer=16,
        n_embd=512,
        n_head=8,
        fno_modes=256,
        gla_chunk=64,
        ffn_hidden=2048,
        layer_pattern="FNO",
        dropout=0.0,
        gla_delta=False,
        n_mels=80,
        sample_rate=16000,
        **kwargs,
    ):
        self.vocab = vocab
        self.seq_len = seq_len
        self.n_layer = n_layer
        self.n_embd = n_embd
        self.n_head = n_head
        self.fno_modes = fno_modes
        self.gla_chunk = gla_chunk
        self.ffn_hidden = ffn_hidden
        self.layer_pattern = layer_pattern
        self.dropout = dropout
        self.gla_delta = gla_delta
        self.n_mels = n_mels
        self.sample_rate = sample_rate
        super().__init__(**kwargs)