[nfc] fix typo colossalai/ applications/ (#3831)

* fix typo colossalai/autochunk auto_parallel amp

* fix typo colossalai/auto_parallel nn utils etc.

* fix typo colossalai/auto_parallel autochunk fx/passes  etc.

* fix typo docs/

* change placememt_policy to placement_policy in docs/ and examples/

* fix typo colossalai/ applications/

applications/Chat/coati/ray/src/detached_replay_buffer.py

@@ -34,7 +34,7 @@ class DetachedReplayBuffer:
         '''
         Workers in the same tp group share this buffer and need same sample for one step.
             Therefore a held_sample should be returned tp_world_size times before it could be dropped.
-            worker_state records wheter a worker got the held_sample
+            worker_state records whether a worker got the held_sample
         '''
         self.tp_world_size = tp_world_size
         self.worker_state = [False] * self.tp_world_size

applications/Chat/coati/ray/src/experience_maker_holder.py

@@ -22,7 +22,7 @@ from .utils import is_rank_0, get_strategy_from_args, set_dist_env
 class ExperienceMakerHolder:
     '''
     Args:
-        detached_trainer_name_list: str list to get ray actor handleskkk
+        detached_trainer_name_list: str list to get ray actor handles
         strategy: 
         experience_batch_size: batch size of generated experience
         kl_coef: the coefficient of kl divergence loss

applications/Chat/coati/ray/src/pipeline_strategy.py

@@ -26,7 +26,7 @@ rpc_is_initialized = _is_current_rpc_agent_set
 class PipelineModel(torch.nn.Module):
     '''
     Actor has 2 kinds of jobs: forward and generate. 
-        better to just pipelinize the inner model
+        better to just pipeline the inner model
     '''
     def __init__(self,
                  model: torch.nn.Module,