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	Follows #164104 Pull Request resolved: https://github.com/pytorch/pytorch/pull/164206 Approved by: https://github.com/albanD
		
			
				
	
	
		
			61 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			61 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
"""
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APIs related to torch.compile which lazily import torch._dynamo to avoid
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circular dependencies.
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"""
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import functools
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from collections.abc import Callable
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from typing import Optional, overload, TypeVar, Union
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from typing_extensions import ParamSpec
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_T = TypeVar("_T")
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_P = ParamSpec("_P")
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@overload
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def _disable_dynamo(
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    fn: Callable[_P, _T], recursive: bool = True
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) -> Callable[_P, _T]: ...
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@overload
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def _disable_dynamo(
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    fn: None = None, recursive: bool = True
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) -> Callable[[Callable[_P, _T]], Callable[_P, _T]]: ...
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def _disable_dynamo(
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    fn: Optional[Callable[_P, _T]] = None, recursive: bool = True
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) -> Union[Callable[_P, _T], Callable[[Callable[_P, _T]], Callable[_P, _T]]]:
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    """
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    This API should be only used inside torch, external users should still use
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    torch._dynamo.disable. The main goal of this API is to avoid circular
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    imports issues that is common while using _dynamo.disable inside torch
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    itself.
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    This API avoids it by lazily importing torch._dynamo from the import time to
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    the invocation of the decorated function.
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    """
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    if fn is not None:
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        @functools.wraps(fn)
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        def inner(*args: _P.args, **kwargs: _P.kwargs) -> _T:
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            # cache this on the first invocation to avoid adding too much overhead.
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            disable_fn = getattr(fn, "__dynamo_disable", None)
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            if disable_fn is None:
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                import torch._dynamo
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                # We can safely turn off functools.wraps here because the inner
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                # already wraps fn in the outer scope.
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                disable_fn = torch._dynamo.disable(fn, recursive, wrapping=False)
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                fn.__dynamo_disable = disable_fn  # type: ignore[attr-defined]
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            return disable_fn(*args, **kwargs)
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        return inner
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    else:
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        # decorator usage like @_disable_dynamo(recursive=False). The resulting
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        # object expects the original decorated function as the arg.
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        return functools.partial(_disable_dynamo, recursive=recursive)
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