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0584654c79
* [fx] change memory.py to memory_utils.py. * [fx] add shard utils. * [fx] fix import. * [fx] check code style. * [fx] add comment. * [autoparallel] first move. * [fx] add time computations.
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
# for PyTorch 1.11 compatibility uses
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from typing import Dict, List, Tuple, Union
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import torch
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from torch.fx import GraphModule, Node
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from ..._compatibility import compatibility
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__all__ = ["calculate_fwd_in", "calculate_fwd_tmp", "calculate_fwd_out"]
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@compatibility(is_backward_compatible=True)
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def calculate_fwd_in(n: Node) -> bool:
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"""A helper function to calculate `fwd_in`
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Args:
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n (Node): a node from the graph
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Returns:
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save_fwd_in (bool): the result of `save_fwd_in`
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"""
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return n.meta['save_fwd_in']
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@compatibility(is_backward_compatible=True)
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def calculate_fwd_tmp(n: Node) -> int:
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"""A helper function to calculate `fwd_tmp`
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Args:
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n (Node): a node from the graph
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Returns:
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fwd_tmp (int): the result of `fwd_tmp`
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"""
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return n.meta["fwd_mem_tmp"]
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@compatibility(is_backward_compatible=True)
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def calculate_fwd_out(n: Node) -> int:
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"""A helper function to calculate `fwd_out`
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Args:
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n (Node): a node from the graph
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Returns:
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fwd_out (int): the result of `fwd_out`
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"""
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return n.meta['fwd_mem_out']
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