83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import hashlib
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import importlib.metadata
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import inspect
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import json
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import types
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from typing import Any, Callable, Dict, Optional, Union
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import torch
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from packaging.version import Version
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from torch import fx
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if Version(importlib.metadata.version('torch')) >= Version("2.6"):
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from torch._inductor.custom_graph_pass import CustomGraphPass
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else:
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# CustomGraphPass is not present in 2.5 or lower, import our version
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from .torch25_custom_graph_pass import ( # noqa: yapf
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Torch25CustomGraphPass as CustomGraphPass)
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class InductorPass(CustomGraphPass):
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"""
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A custom graph pass that uses a hash of its source as the UUID.
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This is defined as a convenience and should work in most cases.
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"""
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def uuid(self) -> Any:
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"""
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Provide a unique identifier for the pass, used in Inductor code cache.
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This should depend on the pass implementation, so that changes to the
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pass result in recompilation.
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By default, the object source is hashed.
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"""
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return InductorPass.hash_source(self)
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@staticmethod
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def hash_source(*srcs: Union[str, Any]):
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"""
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Utility method to hash the sources of functions or objects.
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:param srcs: strings or objects to add to the hash.
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Objects and functions have their source inspected.
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:return:
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"""
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hasher = hashlib.sha256()
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for src in srcs:
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if isinstance(src, str):
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src_str = src
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elif isinstance(src, types.FunctionType):
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src_str = inspect.getsource(src)
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else:
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src_str = inspect.getsource(src.__class__)
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hasher.update(src_str.encode("utf-8"))
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return hasher.hexdigest()
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@staticmethod
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def hash_dict(dict_: Dict[Any, Any]):
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"""
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Utility method to hash a dictionary, can alternatively be used for uuid.
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:return: A sha256 hash of the json rep of the dictionary.
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"""
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encoded = json.dumps(dict_, sort_keys=True).encode("utf-8")
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return hashlib.sha256(encoded).hexdigest()
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class CallableInductorPass(InductorPass):
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"""
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This class is a wrapper for a callable that automatically provides an
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implementation of the UUID.
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"""
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def __init__(self,
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callable: Callable[[fx.Graph], None],
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uuid: Optional[Any] = None):
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self.callable = callable
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self._uuid = self.hash_source(callable) if uuid is None else uuid
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def __call__(self, graph: torch.fx.Graph):
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self.callable(graph)
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def uuid(self) -> Any:
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return self._uuid
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