1. Support `ReduceLROnPlateau` lr scheduler, and add  `PlateauLrSchedulerHook` for it
2. Support custom `optimizer_hook` and `lr_scheduler_hook`
3. Remove function of save best ckpt from `EvaluationHook`, replace with `BestCkptSaverHook`
4. `evaluation_loop` return metric values directly，move metric computation to `single_gpu_test` and `multi_gpu_test`
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9584322

    * [to #43627720] support ReduceLROnPlateau and fix lr scheduler

* refine taskdataset interface
 * add device placement for trainer
 * add device placement for pipeline
 * add config checker and fix model placement bug
 * fix cycling import
 * refactor model init for translation_pipeline
 * cv pipelines support kwargs


Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9463076

* fix msdataset
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9436292

    * fix msdataset

co-contributed with 夕陌&雨泓

 * add torch epoch based trainer and dis utils
 * add hooks including optimizer, lrscheduler, logging, checkpoint, evaluation, time profiling
 * add torch mdoel base and test
 * add optimizer and lrscheduler module
 * add sbert for text classification example
 * add task_dataset for dataset-level processor

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9338412