[npu] change device to accelerator api (#5239)

* update accelerator

* fix timer

* fix amp

* update

* fix

* update bug

* add error raise

* fix autocast

* fix set device

* remove doc accelerator

* update doc

* update doc

* update doc

* use nullcontext

* update cpu

* update null context

* change time limit for example

* udpate

* update

* update

* update

* [npu] polish accelerator code

---------

Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>

colossalai/booster/plugin/low_level_zero_plugin.py

@@ -12,6 +12,7 @@ from torch.optim.lr_scheduler import _LRScheduler as LRScheduler
 from torch.utils._pytree import tree_map
 from torch.utils.data import DataLoader
 
+from colossalai.accelerator import get_accelerator
 from colossalai.checkpoint_io import CheckpointIndexFile, CheckpointIO
 from colossalai.checkpoint_io.utils import (
     get_optimizer_base_filenames,
@@ -24,7 +25,6 @@ from colossalai.checkpoint_io.utils import (
     sharded_optimizer_loading_epilogue,
 )
 from colossalai.interface import AMPModelMixin, ModelWrapper, OptimizerWrapper
-from colossalai.utils import get_current_device
 from colossalai.zero import LowLevelZeroOptimizer
 
 from .dp_plugin_base import DPPluginBase
@@ -52,7 +52,7 @@ class LowLevelZeroModel(ModelWrapper, AMPModelMixin):
             self.dtype = torch.bfloat16
         if self.dtype is not None:
             module = module.to(self.dtype)
-        module = module.to(get_current_device())
+        module = module.to(get_accelerator().get_current_device())
         self.module = module
         self.convert_fn = None
         if self.dtype is not None: