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Without this, `del model` does not free memory of a module with FSDP2 applied. Pull Request resolved: https://github.com/pytorch/pytorch/pull/139650 Approved by: https://github.com/yf225
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import weakref
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from typing import cast, Optional
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import torch.nn as nn
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class _State:
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pass
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_module_state_mapping: weakref.WeakKeyDictionary[
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nn.Module, weakref.ReferenceType[_State]
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] = weakref.WeakKeyDictionary()
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def _insert_module_state(module: nn.Module, state: _State) -> None:
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global _module_state_mapping
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assert module not in _module_state_mapping, f"Inserting {module} more than once."
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_module_state_mapping[module] = weakref.ref(state)
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def _get_module_state(module: nn.Module) -> Optional[_State]:
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"""
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Return the ``_State`` in ``model``.
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Given a ``module``, this API finds out if the module is also a ``_State``
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instance or if the module is managed by a composable API. If the module
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is also a ``_State``, ``module`` will be casted to ``_State` and returned.
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If it is managed by a composable API, the corresponding ``_State`` will
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be returned.
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"""
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global _module_state_mapping
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if isinstance(module, _State):
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return cast(_State, module)
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else:
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# https://github.com/pytorch/pytorch/issues/107054
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if module in _module_state_mapping:
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state_ref = _module_state_mapping[module]
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state = state_ref()
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if state is None:
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raise AssertionError("State has already been garbage collected")
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return state
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else:
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return None
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