# Copyright (c) ModelScope Contributors. All rights reserved. from typing import TYPE_CHECKING from .utils.import_utils import _LazyModule if TYPE_CHECKING: from .agent_template import BaseAgentTemplate, agent_template_map from .arguments import (AppArguments, BaseArguments, DeployArguments, EvalArguments, ExportArguments, InferArguments, PretrainArguments, RLHFArguments, RolloutArguments, SamplingArguments, SftArguments) from .callbacks import TrainerCallback, callbacks_map from .dataset import EncodePreprocessor, load_dataset from .infer_engine import (AdapterRequest, GRPOVllmEngine, InferClient, InferEngine, InferRequest, LmdeployEngine, RequestConfig, SglangEngine, TransformersEngine, VllmEngine) from .loss import BaseLoss, loss_map from .loss_scale import ALL_BASE_STRATEGY, ConfigLossScale, LossScale, get_loss_scale, loss_scale_map from .metrics import InferStats, MeanMetric, eval_metrics_map from .model import get_model_processor, get_processor from .optimizers import OptimizerCallback, optimizers_map from .pipelines import (app_main, deploy_main, eval_main, export_main, infer_main, merge_lora, pretrain_main, rlhf_main, rollout_main, run_deploy, sampling_main, sft_main) from .template import get_template from .trainers import Seq2SeqTrainer, Seq2SeqTrainingArguments, Trainer, TrainingArguments from .tuner_plugin import PeftTuner, Tuner, tuners_map from .tuners import Swift from .utils import get_logger, safe_snapshot_download from .version import __release_datetime__, __version__ else: _import_structure = { 'version': ['__release_datetime__', '__version__'], 'tuners': ['Swift'], 'tuner_plugin': ['Tuner', 'PeftTuner', 'tuners_map'], 'infer_engine': [ 'TransformersEngine', 'VllmEngine', 'SglangEngine', 'LmdeployEngine', 'InferRequest', 'RequestConfig', 'AdapterRequest', 'InferEngine', 'InferClient', 'GRPOVllmEngine' ], 'trainers': ['TrainingArguments', 'Seq2SeqTrainingArguments', 'Trainer', 'Seq2SeqTrainer'], 'arguments': [ 'PretrainArguments', 'SftArguments', 'RLHFArguments', 'ExportArguments', 'InferArguments', 'AppArguments', 'EvalArguments', 'SamplingArguments', 'RolloutArguments', 'DeployArguments', 'BaseArguments' ], 'pipelines': [ 'sft_main', 'pretrain_main', 'infer_main', 'rlhf_main', 'export_main', 'app_main', 'eval_main', 'sampling_main', 'rollout_main', 'deploy_main', 'merge_lora', 'run_deploy' ], 'model': ['get_model_processor', 'get_processor'], 'template': ['get_template'], 'dataset': ['load_dataset', 'EncodePreprocessor'], 'utils': ['get_logger', 'safe_snapshot_download'], 'agent_template': ['agent_template_map', 'BaseAgentTemplate'], 'loss': ['loss_map', 'BaseLoss'], 'metrics': ['eval_metrics_map', 'InferStats', 'MeanMetric'], 'optimizers': ['optimizers_map', 'OptimizerCallback'], 'callbacks': ['callbacks_map', 'TrainerCallback'], 'loss_scale': ['loss_scale_map', 'LossScale', 'get_loss_scale', 'ALL_BASE_STRATEGY', 'ConfigLossScale'], } import sys sys.modules[__name__] = _LazyModule( __name__, globals()['__file__'], _import_structure, module_spec=__spec__, extra_objects={}, )