def __init__()

in src/autotrain/cli/run_llm.py [0:0]


    def __init__(self, args):
        self.args = args

        store_true_arg_names = [
            "train",
            "deploy",
            "inference",
            "add_eos_token",
            "peft",
            "auto_find_batch_size",
            "push_to_hub",
            "merge_adapter",
            "use_flash_attention_2",
            "disable_gradient_checkpointing",
        ]
        for arg_name in store_true_arg_names:
            if getattr(self.args, arg_name) is None:
                setattr(self.args, arg_name, False)

        block_size_split = self.args.block_size.strip().split(",")
        if len(block_size_split) == 1:
            self.args.block_size = int(block_size_split[0])
        elif len(block_size_split) > 1:
            self.args.block_size = [int(x.strip()) for x in block_size_split]
        else:
            raise ValueError("Invalid block size")

        if self.args.train:
            if self.args.project_name is None:
                raise ValueError("Project name must be specified")
            if self.args.data_path is None:
                raise ValueError("Data path must be specified")
            if self.args.model is None:
                raise ValueError("Model must be specified")
            if self.args.push_to_hub:
                # must have project_name, username and token OR project_name, token
                if self.args.username is None:
                    raise ValueError("Usernamemust be specified for push to hub")
                if self.args.token is None:
                    raise ValueError("Token must be specified for push to hub")

            if self.args.backend.startswith("spaces") or self.args.backend.startswith("ep-"):
                if not self.args.push_to_hub:
                    raise ValueError("Push to hub must be specified for spaces backend")
                if self.args.username is None:
                    raise ValueError("Username must be specified for spaces backend")
                if self.args.token is None:
                    raise ValueError("Token must be specified for spaces backend")

        if self.args.deploy:
            raise NotImplementedError("Deploy is not implemented yet")
        if self.args.inference:
            raise NotImplementedError("Inference is not implemented yet")