Merge 0c91dea4a2 into cc312c1cc6
commit
87d708e4d2
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@ -471,7 +471,6 @@ if __name__ == "__main__":
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if args.use_compile == 1:
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if args.use_compile == 1:
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model = torch.compile(model)
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model = torch.compile(model)
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Logger('torch.compile enabled')
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Logger('torch.compile enabled')
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rollout_engine.update_policy(model)
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if dist.is_initialized():
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if dist.is_initialized():
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# 同 train_ppo:RoPE buffer 各 rank 一致,每步广播纯属浪费
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# 同 train_ppo:RoPE buffer 各 rank 一致,每步广播纯属浪费
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model = DistributedDataParallel(model, device_ids=[local_rank], broadcast_buffers=False)
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model = DistributedDataParallel(model, device_ids=[local_rank], broadcast_buffers=False)
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@ -312,7 +312,6 @@ if __name__ == "__main__":
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if args.use_compile == 1:
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if args.use_compile == 1:
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model = torch.compile(model)
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model = torch.compile(model)
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Logger('torch.compile enabled')
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Logger('torch.compile enabled')
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rollout_engine.update_policy(model)
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if dist.is_initialized():
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if dist.is_initialized():
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# 同 train_ppo:RoPE buffer 各 rank 一致,每步广播纯属浪费
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# 同 train_ppo:RoPE buffer 各 rank 一致,每步广播纯属浪费
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model = DistributedDataParallel(model, device_ids=[local_rank], broadcast_buffers=False)
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model = DistributedDataParallel(model, device_ids=[local_rank], broadcast_buffers=False)
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@ -427,7 +427,6 @@ if __name__ == "__main__":
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if args.use_compile == 1:
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if args.use_compile == 1:
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actor_model = torch.compile(actor_model)
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actor_model = torch.compile(actor_model)
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Logger('torch.compile enabled')
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Logger('torch.compile enabled')
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rollout_engine.update_policy(actor_model)
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if dist.is_initialized():
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if dist.is_initialized():
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# freqs_cos/freqs_sin 各 rank 由 config 确定性算出,默认每步广播一次纯属浪费
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# freqs_cos/freqs_sin 各 rank 由 config 确定性算出,默认每步广播一次纯属浪费
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actor_model = DistributedDataParallel(actor_model, device_ids=[local_rank], broadcast_buffers=False)
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actor_model = DistributedDataParallel(actor_model, device_ids=[local_rank], broadcast_buffers=False)
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