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[shardformer] support sharded checkpoint IO for models of HybridParallelPlugin (#4506)

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* add APIs

* implement save_sharded_model

* add test for hybrid checkpointio

* implement naive loading for sharded model

* implement efficient sharded model loading

* open a new file for hybrid checkpoint_io

* small fix

* fix circular importing

* fix docstring

* arrange arguments and apis

* small fix
This commit is contained in:
Baizhou Zhang
2023-08-25 22:04:57 +08:00
committed by GitHub
parent de8a65babc
commit 44eab2b27f
7 changed files with 497 additions and 40 deletions
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5
colossalai/booster/plugin/hybrid_parallel_plugin.py
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@@ -16,7 +16,7 @@ from torch.utils.data import DataLoader
from torch.utils.data.distributed import DistributedSampler
from colossalai.amp.naive_amp.mixed_precision_optimizer import MixedPrecisionOptimizer
from colossalai.checkpoint_io import CheckpointIO
from colossalai.checkpoint_io import CheckpointIO, HypridParallelCheckpointIO
from colossalai.cluster import ProcessGroupMesh
from colossalai.interface import ModelWrapper, OptimizerWrapper
from colossalai.pipeline.schedule import OneForwardOneBackwardSchedule
@@ -292,6 +292,7 @@ class HybridParallelPlugin(PipelinePluginBase):
self.schedule = OneForwardOneBackwardSchedule(num_microbatches, self.stage_manager)
self.tp_group = self.pg_mesh.get_group_along_axis(TP_AXIS)
self.dp_group = self.pg_mesh.get_group_along_axis(DP_AXIS)
self.pp_group = self.pg_mesh.get_group_along_axis(PP_AXIS)
self.shard_config = ShardConfig(tensor_parallel_process_group=self.tp_group,
pipeline_stage_manager=self.stage_manager,
enable_tensor_parallelism=self.tp_size > 1,
@@ -460,7 +461,7 @@ class HybridParallelPlugin(PipelinePluginBase):
**_kwargs)
def get_checkpoint_io(self) -> CheckpointIO:
return None
return HypridParallelCheckpointIO(self.dp_group, self.pp_group, self.tp_group)
def no_sync(self, model: Module) -> Iterator[None]:
raise NotImplementedError