pytorch/torch/_dynamo/variables/script_object.py
Raymond Li 21c2565f35 Document dynamo (#146736)
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
2025-02-13 00:02:21 +00:00

104 lines
3.7 KiB
Python

# mypy: allow-untyped-decorators
# mypy: allow-untyped-defs
"""
This module implements variable tracking for TorchScript objects during Dynamo tracing.
The TorchScriptObjectVariable class provides specialized handling for TorchScript
objects with strong safety guarantees by:
- Enforcing method-call-only access to prevent unsafe attribute manipulation
- Converting graph breaks into hard errors via _raise_hard_error_if_graph_break
- Proper proxy and source tracking for TorchScript method calls
- Integration with higher-order operators for method call handling
Key safety features:
- Strict validation that only method calls are allowed (no direct attribute access)
- Immediate error reporting for potentially unsafe operations
- Proper source tracking for debugging and guard installation
- Safe handling of TorchScript object method calls through torchbind
The module ensures that TorchScript objects are handled safely during tracing
by limiting operations to known-safe patterns and failing fast for unsafe usage.
"""
import functools
import torch
from ..exc import unimplemented, UnsafeScriptObjectError, Unsupported
from .base import VariableTracker
from .user_defined import UserDefinedObjectVariable
def _raise_hard_error_if_graph_break(reason):
def deco(fn):
@functools.wraps(fn)
def graph_break_as_hard_error(*args, **kwargs):
try:
return fn(*args, **kwargs)
except Unsupported as e:
raise UnsafeScriptObjectError(e.msg) from e
return graph_break_as_hard_error
return deco
class TorchScriptObjectVariable(UserDefinedObjectVariable):
_fake_script_object_cache: dict[int, "TorchScriptObjectVariable"] = {}
@classmethod
def is_matching_cls(cls, user_cls: type):
return issubclass(user_cls, torch.ScriptObject)
@staticmethod
def create(proxy, value, **options):
return TorchScriptObjectVariable(proxy, value, **options)
def __init__(self, proxy, value, source, **kwargs) -> None:
super().__init__(value, **kwargs)
self.proxy = proxy
self.proxy.node.meta["example_value"] = value
self.source = source
def as_proxy(self):
return self.proxy
@_raise_hard_error_if_graph_break(
"Dynamo cannot safely trace script object due to graph break."
)
def var_getattr(self, tx, name: str) -> VariableTracker:
from torch._higher_order_ops.torchbind import call_torchbind
from ..source import AttrSource
from .higher_order_ops import TorchHigherOrderOperatorVariable
method = getattr(self.value, name, None)
if method is None:
unimplemented(
f"FakeScriptObject doesn't define method {name}. Did you forget to implement it in the fake class?"
)
if not callable(method):
unimplemented(
"Only method calls on TorchScript objects can be supported safely."
" Please use method calls instead of attribute access."
)
return TorchHigherOrderOperatorVariable.make(
call_torchbind,
source=AttrSource(self.source, name),
script_obj_var=self,
method_name=name,
)
# We only support method calls on script objects. Interpreting the bytecodes
# should go through var_getattr then call_function instead of call_method.
#
# However, it's possible for call_method to be used directly e.g. for __setattr__.
@_raise_hard_error_if_graph_break(
"Dynamo cannot safely trace script object due to graph break."
)
def call_method(self, tx, name, args, kwargs):
unimplemented(f"call method {name} on script object is not safe.")