[Sharderformer] Support zbv in Sharderformer Policy (#6150)

* [feat] Sharderformer support zbv

* [feat] support chatglm2, command, deepseek for zbv

* [feat] support zbv in shardformer policy:
falcon,gptj,mistral,opt,qwen2,t5, vit, whisper

* [feat] support GPT2FusedLinearConv1D

* [feat] support GPT2FusedLinear (without tp)

* [fix] debug FusedConvLinear

* [shardfromer] support gpt2 policy for zbv, support GPT2FusedLinearConv
Col and Row.

* [Shardformer] support FusedLinear1D base for zbv

* [shardformer] support zbv in FusedLinear1D base, Col, Row

* [shardformer] support zbv in blip2 and sam policy

* [shardformer] fix bug incorrect number of gradients; add fusedLinear
base testcase;

* [fix] fix incorrect number of gradients ;

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* [Shardformer] add en doc for zbv;

* [fix] fix typo in Model compatibility table

* [fix] fix API Reference typo

* [Shardformer] add zh-Han doc for zbv

* [fix] fix Linear name; update en & zh doc

* [fix] fix shardformer doc import err

* [fix] fix shardconfig import in doc

* [fix] fix shardformer doc

* [fix] fix shardconfig doc

* [fix] fix config

* [fix] remove shardconfig

* [fix] fix doc

* [feat] add zbv doc string

* [fix] rm doc

* [fix] fix doc

* [fix] empty zbv doc

* [fix] ifx torch version

* [fix] fix torch version

* [fix] fix torch versions

* [fix] fix torch versions

* [fix] fix pyramid versions

* [fix] fix pyramid, zope version

* [fix] try fix workflow

* [fix] try import ShardConfig in yml

* [fix] fix workflow

* [fix] fix workflow

* [fix] fix workflow

* [fix] fix workflow

* [fix] fix ci

* [fix] fix zbv doc

* [fix] fix param for qkv linear, gpt2fused linear; fix requirments;

* [fix] fix policy use fused_linear

* [fix] fix weight grad none, err caused by  weight ptr change

* [fix] fix comm in WeightGradStore

* [fix] fix WeightGradStore pop param

* [fix] remove useless param in doc; fix gpt2 qkv test;

* [shardformer] simplify execute_w_pass_grad_accum;

* [fix] rm useless comments

* [shardformer] simplify execute_w_pass_grad_accum & execute_w_pass

* [shardformer] Run meaningful doc test

* [shadformer] fix doc test cmd;

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

colossalai/pipeline/schedule/zero_bubble_pp.py

@@ -38,6 +38,19 @@ def _wait_p2p(wait_handles: List[torch.cuda.Event]) -> None:
 
 
 class ZeroBubbleVPipeScheduler(PipelineSchedule):
+    r"""
+    ZeroBubbleVPipeScheduler
+
+    Args:
+        stage_manager (PipelineStageManager): If using pipeline parallelism, it's necessary to specify a pipeline stage manager for inter-process communication in pipeline parallelism. Defaults to None, which means not using pipeline parallelism.
+        schedule (List[ScheduledNode]): Schedule for ZeroBubbleVPipe.
+        num_model_chunks (int) : The number of model chunk in a device.
+        num_microbatch (Optional[int]): The number of microbatch.
+        microbatch_size (Optional[int]): The size per microbatch.
+        enable_metadata_cache (bool): whether to enable metadata cache to acclerate communication.
+        overlap_p2p (bool): whether to use overlap_p2p.
+    """
+
     def __init__(
         self,
         stage_manager: PipelineStageManager,