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Doesn't seem to noticeably slow down eager - TestNestedTensorSubclass tests with and without the PR finished in similar amounts of time (around 57s, 58s) Pull Request resolved: https://github.com/pytorch/pytorch/pull/141166 Approved by: https://github.com/ezyang
70 lines
1.5 KiB
Python
70 lines
1.5 KiB
Python
from typing import * # noqa: F403
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# Python version of c10/core/ConstantSymNodeImpl.cpp
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# This needs to exist because the Python version of nested int is not compatible
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# with the C++ version of constant symnode.
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class ConstantIntNode:
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def __init__(self, val: int):
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self.val = val
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def is_constant(self) -> bool:
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return True
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def maybe_as_int(self) -> int:
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return self.val
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def is_int(self) -> bool:
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return True
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def is_float(self) -> bool:
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return False
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def is_bool(self) -> bool:
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return False
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def is_nested_int(self) -> bool:
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return False
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def clone(self) -> "ConstantIntNode":
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return self
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def _str(self) -> str:
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return str(self.val)
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def __str__(self) -> str:
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return self._str()
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def __repr__(self) -> str:
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return self._str()
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def _graph_repr(self) -> str:
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return self._str()
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def mul(self, other: Any) -> Any:
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return other.mul(self)
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def eq(self, other: Any) -> Any:
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return other.eq(self)
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def ne(self, other: Any) -> Any:
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return other.ne(self)
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def gt(self, other: Any) -> Any:
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return other.lt(self)
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def lt(self, other: Any) -> Any:
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return other.gt(self)
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def le(self, other: Any) -> Any:
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return other.ge(self)
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def ge(self, other: Any) -> Any:
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return other.le(self)
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def is_symbolic(self) -> bool:
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return False
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def constant_int(self) -> int:
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return self.val
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