cosmos_predict1/tokenizer/training/configs/base/model.py

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import attrs

from cosmos_predict1.tokenizer.training.model import TokenizerModel
from cosmos_predict1.utils.config import EMAConfig
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict


@attrs.define(slots=False)
class ModelConfig:
    network: LazyDict = None
    loss: LazyDict = None
    metric: LazyDict = None
    ema: EMAConfig = EMAConfig(enabled=True, beta=0.9999)
    precision: str = "bfloat16"
    torch_compile: bool = False
    disc: LazyDict = None
    disc_optimizer: LazyDict = None
    disc_scheduler: LazyDict = None


DefaultModelConfig: LazyDict = L(TokenizerModel)(config=ModelConfig())