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[dynamo] sample gb_registry json file for website testing purposes (#155160)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/155160 Approved by: https://github.com/StrongerXi, https://github.com/williamwen42
This commit is contained in:
Sidharth
PyTorch MergeBot
parent
c8566a0b98
commit
6f23ca53bb
221
tools/dynamo/graph_break_registry.json
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221
tools/dynamo/graph_break_registry.json
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{
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"GB0000": [
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{
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"Gb_type": "All __torch_function__ overrides returned NotImplemented due to TypeError from user code",
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"Context": "fn={fn}, args={args}, kwargs={kwargs}",
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"Explanation": "All __torch_function__ overrides for for function {fn} returned NotImplemented",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0001": [
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{
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"Gb_type": "Argument of `as_subclass` must be a non-dispatcher-style tensor subclass",
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"Context": "{self}.as_subclass({cls})",
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"Explanation": "Currently not supported",
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"Hints": [
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"Avoid this call or move it outside `torch.compile` regione",
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"It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues."
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]
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}
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],
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"GB0002": [
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{
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"Gb_type": "Assertion failed on symbolic shapes",
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"Context": "str(sym_expr)",
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"Explanation": "",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0003": [
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{
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"Gb_type": "Attempt to trace generator",
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"Context": "",
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"Explanation": "Generators cannot be compiled directly with `torch.compile`.",
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"Hints": [
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"Call a generator from inside of a non-generator Python function and ",
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"compile that function instead.",
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"This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround."
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]
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}
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],
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"GB0004": [
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{
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"Gb_type": "Attempted super().__delattr__() on an object without mutation tracking",
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"Context": "call_method {self} {name}",
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"Explanation": "Dynamo needs to track mutations on an object before `super().__delattr__` can be used on it. But the object ({self.objvar}) doesn't have attribute mutation tracking enabled.",
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"Hints": [
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"Ensure the object is tracked by Dynamo's side effect system.",
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"This is likely to be a Dynamo bug. Please report an issue to PyTorch."
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]
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}
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],
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"GB0005": [
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{
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"Gb_type": "Attempted to a str() method implemented in C/C++",
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"Context": "",
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"Explanation": "{type(arg.value)} has a C/C++ based str method. This is not supported.",
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"Hints": [
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"Write the str method in Python"
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]
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}
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],
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"GB0006": [
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{
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"Gb_type": "Attempted to call a super() attribute that is not a function or method",
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"Context": "call_method {self} {name}",
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"Explanation": "Dynamo does not know how to trace the call `super().{name}()` because `super().{name}` is not a function or method attribute.",
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"Hints": [
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"Ensure the attribute accessed via `super()` is a standard method or function."
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]
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}
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],
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"GB0007": [
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{
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"Gb_type": "Attempted to call function marked as skipped",
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"Context": "module: {module_name}, qualname: {qualname}, skip reason: {reason}",
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"Explanation": "explanation",
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"Hints": []
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}
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],
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"GB0008": [
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{
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"Gb_type": "Attempted to inline function marked as skipped",
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"Context": "qualname: {fn_qualname}, name: {func.get_name()}, filename: `{func.get_filename()}`, skip reason: {result.reason}",
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"Explanation": "Dynamo developers have intentionally marked that the function `{fn_qualname}` should not be traced.",
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"Hints": []
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}
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],
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"GB0009": [
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{
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"Gb_type": "Attempted to inline function marked as skipped (SkipFunctionVariable)",
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"Context": "Attempted to inline a SkipFunctionVariable {func}",
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"Explanation": "Attempted to inline a function that was previously determined to be marked as intentionally skipped.",
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"Hints": []
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}
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],
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"GB0010": [
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{
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"Gb_type": "Attempted to read a deleted variable",
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"Context": "item: {item}, name: {name}",
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"Explanation": "",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0011": [
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{
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"Gb_type": "Attempted to read undefined local variable",
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"Context": "LOAD_FAST {name}",
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"Explanation": "Could not find a local variable with name `{name}`",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0012": [
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{
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"Gb_type": "Attempted to read undefined local variable (implicit)",
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"Context": "LOAD_FAST {name}",
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"Explanation": "Could not find an implicit local variable with name `{name}`",
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"Hints": [
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"This happens in dict/list comprehensions",
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0013": [
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{
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"Gb_type": "Attempted to represent unregistered RemovableHandle",
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"Context": "",
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"Explanation": "Dynamo attempted to build a representation of a torch.utils.hooks.RemovableHandle, which is not supported. This happens because the RemovableHandle was created in another frame.",
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"Hints": []
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}
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],
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"GB0014": [
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{
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"Gb_type": "Attempted to wrap RNN, GRU, or LSTM",
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"Context": "str(value)",
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"Explanation": "Dynamo does not support RNN, GRU, or LSTM.",
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"Hints": [
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"It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues."
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]
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}
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],
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"GB0015": [
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{
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"Gb_type": "Attempted to wrap sparse Tensor",
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"Context": "",
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"Explanation": "torch.compile does not support sparse Tensors",
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"Hints": [
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"It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues."
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]
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}
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],
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"GB0016": [
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{
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"Gb_type": "Attempted to wrap strided NestedTensor",
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"Context": "",
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"Explanation": "torch.compile does not support strided NestedTensor",
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"Hints": []
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}
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],
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"GB0017": [
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{
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"Gb_type": "Attempted to wrap torch._higher_order_ops.invoke_subgraph",
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"Context": "",
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"Explanation": "Directly using invoke_subgraph is not supported. Use mark_compile_region",
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"Hints": []
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}
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],
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"GB0018": [
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{
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"Gb_type": "Attempted to wrap unbacked SymInt",
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"Context": "",
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"Explanation": "Unbacked SymInt input is not supported yet.",
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"Hints": [
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"It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues."
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]
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}
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],
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"GB0019": [
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{
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"Gb_type": "AutogradFunctionContextVariable escaped Dynamo-traced region",
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"Context": "",
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"Explanation": "We cannot reconstruct a torch.autograd.Function's context object.",
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"Hints": []
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}
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],
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"GB0020": [
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{
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"Gb_type": "BUILD_STRING key conflict",
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"Context": "format_string_parts: {format_string_parts}, kwargs: {kwargs}, part.sym_kwargs: {part.sym_kwargs}",
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"Explanation": "Failed to build format string due to key conflict",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0021": [
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{
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"Gb_type": "BUILD_STRING type error",
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"Context": "str(part)",
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"Explanation": "Format string part type is not correct - expected constant or format string.",
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"Hints": [
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"Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled."
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]
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}
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],
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"GB0022": [
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{
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"Gb_type": "Bad import result",
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"Context": "typestr(value)",
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"Explanation": "Import result is not a Python module.",
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"Hints": []
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}
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]
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}
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