mirror of https://github.com/hpcaitech/ColossalAI
[fix] fix p2p error in zbv
parent
b6d5e61809
commit
1bc4dba3a3
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@ -45,10 +45,11 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
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num_model_chunks: int,
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num_microbatch: Optional[int] = None,
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microbatch_size: Optional[int] = None,
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enable_metadata_cache: bool = False,
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overlap_p2p: bool = True,
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enable_metadata_cache: bool = True,
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overlap_p2p: bool = False,
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):
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super().__init__(stage_manager)
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# Not support overlap_p2p so far
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# batch info
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self.num_microbatch = num_microbatch
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self.microbatch_size = microbatch_size
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@ -906,9 +907,6 @@ class ZeroBubbleVPipeScheduler(PipelineSchedule):
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model_chunk_id=scheduled_node.chunk,
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optimizer=optimizer,
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)
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for h in self.wait_handles:
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for hh in h:
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hh.wait()
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# print(f"stage {self.stage_manager.stage}; self.tensor_metadata_recv[0] {self.tensor_metadata_recv[0]}; self.tensor_metadata_recv[1] {self.tensor_metadata_recv[1]}; self.grad_metadata_recv[0] {self.grad_metadata_recv[0]}; self.grad_metadata_recv[1] {self.grad_metadata_recv[1]}")
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# return loss & output
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if outputs is not None:
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@ -770,13 +770,11 @@ def run_fwd_bwd_vschedule_with_optim(test_config):
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@parameterize(
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"config",
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[
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# Pass
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(1, 2, 1, 1, 2),
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(1, 1, 2, 2, 1),
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(1, 2, 1, 2, 1),
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(1, 2, 2, 1, 1),
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# # TODO: adapt mixtral with no TP Linear
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(0, 1, 4, 1, 1),
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(1, 1, 4, 1, 1),
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],
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)
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def run_with_booster_moehybridplugin(config: Tuple[int, ...]):
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@ -938,7 +936,6 @@ def run_with_booster_moehybridplugin(config: Tuple[int, ...]):
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(1, 2, 2, 1),
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(1, 2, 1, 2),
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(1, 1, 2, 2),
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# TODO: support overlap p2p in pp4
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(1, 4, 1, 1),
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],
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)
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