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Many files in dynamo are currently lacking file/module-level documentation, which makes it hard to know what they do at a glance and without digging into the code. This fixes that. Note: documentation was AI-generated and could be incorrect, please review carefully. Pull Request resolved: https://github.com/pytorch/pytorch/pull/146736 Approved by: https://github.com/jansel, https://github.com/StrongerXi, https://github.com/anijain2305, https://github.com/zou3519
104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
# mypy: allow-untyped-decorators
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# mypy: allow-untyped-defs
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"""
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This module implements variable tracking for TorchScript objects during Dynamo tracing.
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The TorchScriptObjectVariable class provides specialized handling for TorchScript
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objects with strong safety guarantees by:
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- Enforcing method-call-only access to prevent unsafe attribute manipulation
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- Converting graph breaks into hard errors via _raise_hard_error_if_graph_break
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- Proper proxy and source tracking for TorchScript method calls
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- Integration with higher-order operators for method call handling
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Key safety features:
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- Strict validation that only method calls are allowed (no direct attribute access)
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- Immediate error reporting for potentially unsafe operations
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- Proper source tracking for debugging and guard installation
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- Safe handling of TorchScript object method calls through torchbind
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The module ensures that TorchScript objects are handled safely during tracing
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by limiting operations to known-safe patterns and failing fast for unsafe usage.
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"""
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import functools
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import torch
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from ..exc import unimplemented, UnsafeScriptObjectError, Unsupported
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from .base import VariableTracker
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from .user_defined import UserDefinedObjectVariable
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def _raise_hard_error_if_graph_break(reason):
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def deco(fn):
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@functools.wraps(fn)
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def graph_break_as_hard_error(*args, **kwargs):
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try:
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return fn(*args, **kwargs)
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except Unsupported as e:
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raise UnsafeScriptObjectError(e.msg) from e
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return graph_break_as_hard_error
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return deco
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class TorchScriptObjectVariable(UserDefinedObjectVariable):
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_fake_script_object_cache: dict[int, "TorchScriptObjectVariable"] = {}
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@classmethod
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def is_matching_cls(cls, user_cls: type):
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return issubclass(user_cls, torch.ScriptObject)
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@staticmethod
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def create(proxy, value, **options):
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return TorchScriptObjectVariable(proxy, value, **options)
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def __init__(self, proxy, value, source, **kwargs) -> None:
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super().__init__(value, **kwargs)
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self.proxy = proxy
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self.proxy.node.meta["example_value"] = value
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self.source = source
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def as_proxy(self):
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return self.proxy
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@_raise_hard_error_if_graph_break(
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"Dynamo cannot safely trace script object due to graph break."
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)
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def var_getattr(self, tx, name: str) -> VariableTracker:
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from torch._higher_order_ops.torchbind import call_torchbind
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from ..source import AttrSource
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from .higher_order_ops import TorchHigherOrderOperatorVariable
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method = getattr(self.value, name, None)
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if method is None:
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unimplemented(
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f"FakeScriptObject doesn't define method {name}. Did you forget to implement it in the fake class?"
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)
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if not callable(method):
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unimplemented(
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"Only method calls on TorchScript objects can be supported safely."
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" Please use method calls instead of attribute access."
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)
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return TorchHigherOrderOperatorVariable.make(
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call_torchbind,
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source=AttrSource(self.source, name),
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script_obj_var=self,
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method_name=name,
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)
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# We only support method calls on script objects. Interpreting the bytecodes
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# should go through var_getattr then call_function instead of call_method.
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#
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# However, it's possible for call_method to be used directly e.g. for __setattr__.
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@_raise_hard_error_if_graph_break(
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"Dynamo cannot safely trace script object due to graph break."
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)
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def call_method(self, tx, name, args, kwargs):
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unimplemented(f"call method {name} on script object is not safe.")
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