forked from jiuyuan/CPM-9G-8B
30 lines
995 B
Python
30 lines
995 B
Python
import pickle
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import bmtrain as bmt
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import torch
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def allgather_objects(obj):
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if bmt.world_size() == 1:
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return [obj]
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with torch.no_grad():
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data_bytes: bytes = pickle.dumps(obj)
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data_length: int = len(data_bytes)
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gpu_data_length = torch.tensor([data_length], device="cuda", dtype=torch.long)
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gathered_length = bmt.distributed.all_gather(gpu_data_length).view(-1).cpu()
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max_data_length = gathered_length.max().item()
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gpu_data_bytes = torch.zeros(max_data_length, dtype=torch.uint8, device="cuda")
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byte_storage = torch.ByteStorage.from_buffer(data_bytes)
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gpu_data_bytes[:data_length] = torch.ByteTensor(byte_storage)
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gathered_data = bmt.distributed.all_gather(gpu_data_bytes).cpu()
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ret = []
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for i in range(gathered_data.size(0)):
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data_bytes = gathered_data[i, : gathered_length[i].item()].numpy().tobytes()
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ret.append(pickle.loads(data_bytes))
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return ret
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