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1a4268b811
This PR is part of the work to deprecate torch::deploy in OSS. Effectively it does 3 things to get started. 1. Remove test_deploy_interaction as we no longer need to worry about this 2. Remove all torch._running_with_deploy checks and use the False path always (surfaced 1) 3. Remove `USE_DEPLOY` and switch to the default path always Note: MyPy does fail on a bunch of things here as a bunch of older files are touched. It may be better to fix these things on a separate PR Pull Request resolved: https://github.com/pytorch/pytorch/pull/158288 Approved by: https://github.com/albanD
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
import functools
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import importlib.util
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from types import ModuleType
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from typing import Optional
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def _check_module_exists(name: str) -> bool:
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r"""Returns if a top-level module with :attr:`name` exists *without**
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importing it. This is generally safer than try-catch block around a
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`import X`. It avoids third party libraries breaking assumptions of some of
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our tests, e.g., setting multiprocessing start method when imported
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(see librosa/#747, torchvision/#544).
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"""
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try:
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spec = importlib.util.find_spec(name)
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return spec is not None
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except ImportError:
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return False
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@functools.lru_cache
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def dill_available() -> bool:
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return _check_module_exists("dill")
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@functools.lru_cache
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def import_dill() -> Optional[ModuleType]:
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if not dill_available():
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return None
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import dill
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# XXX: By default, dill writes the Pickler dispatch table to inject its
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# own logic there. This globally affects the behavior of the standard library
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# pickler for any user who transitively depends on this module!
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# Undo this extension to avoid altering the behavior of the pickler globally.
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dill.extend(use_dill=False)
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return dill
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