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matrixgame2_training_pipeline

Classes

fastvideo.training.matrixgame2_training_pipeline.MatrixGame2TrainingPipeline 

MatrixGame2TrainingPipeline(model_path: str, fastvideo_args: TrainingArgs, required_config_modules: list[str] | None = None, loaded_modules: dict[str, Module] | None = None)

Bases: TrainingPipeline

A training pipeline for Matrix-Game-2.0.

Source code in fastvideo/training/training_pipeline.py 
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def __init__(self,
             model_path: str,
             fastvideo_args: TrainingArgs,
             required_config_modules: list[str] | None = None,
             loaded_modules: dict[str, torch.nn.Module] | None = None) -> None:
    fastvideo_args.inference_mode = False
    self.lora_training = fastvideo_args.lora_training
    if self.lora_training and fastvideo_args.lora_rank is None:
        raise ValueError("lora rank must be set when using lora training")

    set_random_seed(fastvideo_args.seed)  # for lora param init
    super().__init__(model_path, fastvideo_args, required_config_modules, loaded_modules)  # type: ignore
    self.tracker = DummyTracker()
    self.validation_ref_videos_logged = False

Functions

fastvideo.training.matrixgame2_training_pipeline.MatrixGame2TrainingPipeline.create_training_stages 
create_training_stages(training_args: TrainingArgs)

May be used in future refactors.

Source code in fastvideo/training/matrixgame2_training_pipeline.py 
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def create_training_stages(self, training_args: TrainingArgs):
    """
    May be used in future refactors.
    """
    pass

Functions