mirror of https://github.com/hpcaitech/ColossalAI
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
import operator
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from typing import List, Tuple
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import torch
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from colossalai.auto_parallel.tensor_shard.sharding_strategy import MemoryCost, OperationDataType, TrainCycleItem
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from ..registry import meta_register
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__all__ = ["non_spmd_meta_info"]
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@meta_register.register(torch.Size)
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@meta_register.register(torch.Tensor.size)
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@meta_register.register(torch.finfo)
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@meta_register.register(operator.le)
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def non_spmd_meta_info(*args, **kwargs) -> Tuple[TrainCycleItem, TrainCycleItem, List[torch.Tensor]]:
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"""Non-SPMD node meta information generator
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Those nodes will not be handled by SPMD solver, so we just return all zero meta information for it
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Returns:
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Tuple[TrainCycleItem, TrainCycleItem, List[torch.Tensor]]: compute cost, memory cost and forward inputs
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"""
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compute_cost = TrainCycleItem(fwd=0, bwd=0, total=0)
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memory_cost = TrainCycleItem(fwd=MemoryCost(), bwd=MemoryCost(), total=MemoryCost())
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fwd_in, fwd_buffer, fwd_out = [], [], []
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return compute_cost, memory_cost, fwd_in, fwd_buffer, fwd_out
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