lyra_xverse/config.py

import dataclasses
import pathlib
from typing import Optional

@dataclasses.dataclass
class LyraXVERSEParam:
    num_heads: int = 40
    size_per_head: int = 128
    inter_size: int = 13824
    num_layers: int = 40
    vocab_size: int = 39424
    start_id: Optional[int] = 1
    end_id: Optional[int] = 2
    tensor_para_size: int = 1
    pipeline_para_size: int = 1
    remove_padding: bool = True
    shared_contexts_ratio: float = 1.0
    layernorm_eps: float = 1e-6
    weights_data_type: str = "fp16"
    rotary_embedding: int = 128
    use_gptj_residual: bool = False

    def __post_init__(self):
        if not 0.0 <= self.shared_contexts_ratio <= 1.0:
            raise ValueError(
                f'Got an invalid value of shared_context_ratio '
                f'{self.shared_contexts_ratio} - range: [0.0, 1.0]')

    def asdict(self):
        return dataclasses.asdict(self)

LYRA_XVERSE_PARAM = LyraXVERSEParam()