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move empty cache
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@ -129,6 +129,7 @@ class BaseConsumer:
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if episode != self.num_episodes - 1 or step != self.num_update_per_episode - 1:
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print(f"[T{dist.get_rank()}] Sync model episode {episode} step {step}")
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torch.cuda.empty_cache()
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state_dict = self.state_dict()
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if self.rank == 0:
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ray_broadcast_tensor_dict(
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