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# Copyright (c) 2021 <NAME> and <NAME> and <NAME>
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from dataclasses import dataclass, field

from openspeech.dataclass.configurations import OpenspeechDataclass


@dataclass
class Jasper10x5Config(OpenspeechDataclass):
    r"""
    This is the configuration class to store the configuration of
    a :class:`~openspeech.models.Jasper10x5`.

    It is used to initiated an `Jasper10x5` model.

    Configuration objects inherit from :class: `~openspeech.dataclass.configs.OpenspeechDataclass`.

    Configurations:
        model_name (str): Model name (default: jasper10x5)
        num_blocks (int): Number of jasper blocks (default: 10)
        num_sub_blocks (int): Number of jasper sub blocks (default: 5)
        in_channels (str): Output channels of jasper block's convolution
        out_channels (str): Output channels of jasper block's convolution
        kernel_size (str): Kernel size of jasper block's convolution
        dilation (str): Dilation of jasper block's convolution
        dropout_p (str): Dropout probability
        optimizer (str): Optimizer for training.
    """
    model_name: str = field(
        default="jasper10x5", metadata={"help": "Model name"}
    )
    num_blocks: int = field(
        default=10, metadata={"help": "Number of jasper blocks"}
    )
    num_sub_blocks: int = field(
        default=5, metadata={"help": "Number of jasper sub blocks"}
    )
    in_channels: str = field(
        default="(None, 256, 256, 256, 384, 384, 512, 512, 640, 640, 768, 768, 896, 1024)",
        metadata={"help": "Input channels of jasper blocks"}
    )
    out_channels: str = field(
        default="(256, 256, 256, 384, 384, 512, 512, 640, 640, 768, 768, 768, 896, 1024, None)",
        metadata={"help": "Output channels of jasper block's convolution"}
    )
    kernel_size: str = field(
        default="(11, 11, 11, 13, 13, 17, 17, 21, 21, 25, 25, 29, 1, 1)",
        metadata={"help": "Kernel size of jasper block's convolution"}
    )
    dilation: str = field(
        default="(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1)",
        metadata={"help": "Dilation of jasper block's convolution"}
    )
    dropout_p: str = field(
        default="(0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3, 0.3, 0.4, 0.4, 0.0)",
        metadata={"help": "Dropout probability"}
    )
    optimizer: str = field(
        default="novograd", metadata={"help": "Optimizer for training."}
    )
