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@ -23,6 +23,9 @@ class BucketTensorShardStrategy(TensorShardStrategy):
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for i in range(self.world_size):
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if i == self.local_rank:
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buffer_list.append(flatten([t.payload for t in tensor_list]).cuda(get_current_device()))
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# Release payload here, to decrease peak memory usage
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for t in tensor_list:
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t.reset_payload(None)
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else:
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buffer_list.append(torch.zeros(buffer_size, dtype=dtype, device=get_current_device()))
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dist.all_gather(buffer_list, buffer_list[self.local_rank], group=self.process_group)
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