Below are all known graph breaks detected by Dynamo.

• GB0000 — All torch_function overrides returned NotImplemented due to TypeError from user code
• GB0001 — Argument of as_subclass must be a non-dispatcher-style tensor subclass
• GB0002 — Assertion failed on symbolic shapes
• GB0003 — Attempt to trace generator
• GB0004 — Attempted super().delattr() on an object without mutation tracking
• GB0005 — Attempted to a str() method implemented in C/C++
• GB0006 — Attempted to call a super() attribute that is not a function or method
• GB0007 — Attempted to call function marked as skipped
• GB0008 — Attempted to inline function marked as skipped
• GB0009 — Attempted to inline function marked as skipped (SkipFunctionVariable)
• GB0010 — Attempted to read a deleted variable
• GB0011 — Attempted to read undefined local variable
• GB0012 — Attempted to read undefined local variable (implicit)
• GB0013 — Attempted to represent unregistered RemovableHandle
• GB0014 — Attempted to wrap RNN, GRU, or LSTM
• GB0015 — Attempted to wrap sparse Tensor
• GB0016 — Attempted to wrap strided NestedTensor
• GB0017 — Attempted to wrap torch._higher_order_ops.invoke_subgraph
• GB0018 — Attempted to wrap unbacked SymInt
• GB0019 — AutogradFunctionContextVariable escaped Dynamo-traced region
• GB0020 — BUILD_STRING key conflict
• GB0021 — BUILD_STRING type error
• GB0022 — Bad import result
• GB0023 — Builtin operator.* comparison with constant self failed
• GB0024 — CLEANUP_THROW with StopIteration
• GB0025 — Call to torch._dynamo.graph_break()
• GB0026 — Calling subclass default constructor with more than tensor argument
• GB0027 — Cannot check Tensor object identity without its fake value
• GB0028 — Caught non-Exception value
• GB0029 — Compilation of intermediate hooks requires compiled autograd
• GB0030 — ComptimeContext graph break
• GB0031 — Custom getattribute in nn.Module attribute access
• GB0032 — Custom getattribute in nn.Module dict key check
• GB0033 — Data dependent operator
• GB0034 — Data-dependent assertion failed (cannot compile partial graph)
• GB0035 — Data-dependent branching with non-constant bool
• GB0036 — Dynamic shape operator
• GB0037 — Dynamic shape operator (no meta kernel)
• GB0038 — Dynamic slicing with Tensor arguments
• GB0039 — Dynamo recompile limit exceeded
• GB0040 — Encountered aliasing during higher order op tracing
• GB0041 — Encountered input mutation during higher order op tracing
• GB0042 — Encountered non user function variable during invoke_subgraph HOP tracing
• GB0043 — Encountered non-PT2-compliant op
• GB0044 — Encountered strided NestedTensor in automatic dynamic dim determination
• GB0045 — Encountered tensor.is_inference() during tracing
• GB0046 — Encountered torch.is_inference_mode_enabled during tracing
• GB0047 — Encountered unconverted argument when attempting to inline
• GB0048 — Error getting associated real value
• GB0049 — Error when attempting to resolve op packet
• GB0050 — Exception with bad expected type
• GB0051 — Exception with non-type expectation
• GB0052 — Excessive RestartAnalysis() calls
• GB0053 — FSDP with use_orig_params=False
• GB0054 — Failed to construct Enum variable
• GB0055 — Failed to convert args/kwargs to proxy
• GB0056 — Failed to mutate tensor data attribute
• GB0057 — Failed to raise exception
• GB0058 — Failed to set tensor attribute
• GB0059 — Failed to trace builtin operator
• GB0060 — Failed to trace unittest method
• GB0061 — Failed to unpack object for BUILD_LIST_UNPACK
• GB0062 — Failed to unpack object for UNPACK_EX
• GB0063 — Failed to unpack object for UNPACK_SEQUENCE
• GB0064 — Fake tensor propagation exception
• GB0065 — Graph break in inlined function
• GB0066 — Graph break under GenericContextWrappingVariable
• GB0067 — HOP: Unsafe side effect
• GB0068 — Illegal method invocation in strict mode
• GB0069 — Import failure
• GB0070 — Indexing list with non-scalar tensor
• GB0071 — Inline attempt with self
• GB0072 — Inplace op on input tensor
• GB0073 — Invoking an nn.Module inside a HigherOrderOperator
• GB0074 — Invoking an nn.Module inside a higher order operator
• GB0075 — LOAD_BUILD_CLASS bytecode not supported
• GB0076 — LOAD_FAST_CHECK on uninitialized variable
• GB0077 — Length mismatch when unpacking object for UNPACK_SEQUENCE
• GB0078 — Limitation of `nonstrict_trace
• GB0079 — Missing CALL_INTRINSIC_1 handler
• GB0080 — Missing FakeTensor example value
• GB0081 — Missing attribute when running call_method node
• GB0082 — Missing bytecode handler
• GB0083 — Module-level backwards hooks require compiled autograd.
• GB0084 — Non-constant attribute given to super().__delattr__()
• GB0085 — Non-function or method in subclass of torch.autograd.Function
• GB0086 — Not a Python constant
• GB0087 — NotImplementedError/UnsupportedFakeTensorException when running FX node
• GB0088 — Observed exception
• GB0089 — Observed exception (EXCEPT_HANDLER)
• GB0090 — Operator does not support running with fake tensors
• GB0091 — Read uninitialized cell
• GB0092 — Reconstruction failure
• GB0093 — Reconstruction failure: source.reconstruct not implemented
• GB0094 — SEND with bad type
• GB0095 — Set Exception object __traceback__ attribute to not-None
• GB0096 — Should not compile partial graph (STORE_ATTR)
• GB0097 — Side effect on existing deque with limited maxlen
• GB0098 — Skip calling torch.compiler.disable()d function
• GB0099 — Skip inlining torch.compiler.disable()d function
• GB0100 — Storing Tensor hook handle in globals
• GB0101 — Storing Tensor hook handle in globals (inline call)
• GB0102 — Strict mode banned op
• GB0103 — Tensor subclass overridden method call
• GB0104 — Tensor with grad_fn()
• GB0105 — Tensor.numpy() with trace_numpy=False
• GB0106 — Tensor.numpy() without NumPy installed
• GB0107 — Tensor.random_ op
• GB0108 — Tensor.retain_grad() with AOTDispatcher
• GB0109 — Tensor.tolist() with non-integer tensor
• GB0110 — Tensor.uniform_ op called with from keyword
• GB0111 — TypeError from user code
• GB0112 — TypeError when making fake tensor call
• GB0113 — Unable to resolve super getattr
• GB0114 — Unexpected failure during itertools.accumulate() iteration
• GB0115 — Unexpected failure during itertools.groupby() iteration
• GB0116 — Unexpected type in sourceless builder
• GB0117 — Unhandled args for method
• GB0118 — Unimplemented next() call
• GB0119 — Uninitialized nn.Module
• GB0120 — Unreachable sub-generator code
• GB0121 — UnspecializedNNModuleVariable missing method
• GB0122 — Unsupported SourceType
• GB0123 — Unsupported Tensor.backward() call
• GB0124 — Unsupported Tensor.item() call with capture_scalar_outputs=False
• GB0125 — Unsupported Tensor.requires_grad_() call
• GB0126 — Unsupported Tensor.resize_() call
• GB0127 — Unsupported Tensor.resize_as_() call
• GB0128 — Unsupported Tensor.set_() call
• GB0129 — Unsupported Tensor.sparse_resize_() call
• GB0130 — Unsupported Tensor.sparse_resize_and_clear_() call
• GB0131 — Unsupported setitem/setattr/delitem/delattr inline attempt
• GB0132 — Unsupported func in itertools.accumulate
• GB0133 — Unsupported arguments for itertools.accumulate
• GB0134 — Unsupported arguments for itertools.groupby
• GB0135 — Unsupported attribute assignment on Exception object
• GB0136 — Unsupported attribute for range() object
• GB0137 — Unsupported attribute for slice() object
• GB0138 — Unsupported autograd.Function context save_for_backward
• GB0139 — Unsupported autograd.Function context method
• GB0140 — Unsupported autograd.Function method
• GB0141 — Unsupported call_id() without source
• GB0142 — Unsupported context manager
• GB0143 — Unsupported conversion for slice assignment
• GB0144 — Unsupported custom jvp
• GB0145 — Unsupported custom vjp
• GB0146 — Unsupported event method
• GB0147 — Unsupported function call
• GB0148 — Unsupported function call (delayed)
• GB0149 — Unsupported functorch tracing attempt
• GB0150 — Unsupported hasattr call
• GB0151 — Unsupported inspect call
• GB0152 — Unsupported key type for itertools.groupby
• GB0153 — Unsupported key type for nn.Module.getitem
• GB0154 — Unsupported kwargs for itertools.accumulate
• GB0155 — Unsupported kwargs for itertools.groupby
• GB0156 — Unsupported method call
• GB0157 — Unsupported ndarray attribute access
• GB0158 — Unsupported ndarray method call
• GB0159 — Unsupported ndarray.version access
• GB0160 — Unsupported next() call
• GB0161 — Unsupported nn.Module attribute type
• GB0162 — Unsupported super().init() call
• GB0163 — Unsupported tensor subclass attribute access
• GB0164 — Unsupported tensor subclass overridden attribute access
• GB0165 — Unsupported torch._C._ImperativeEngine method
• GB0166 — Unsupported torch._C._ImperativeEngine.queue_callback()
• GB0167 — Variadic function call with bad args/kwargs type
• GB0168 — Variadic function call with bad flags
• GB0169 — Write to immutable cell
• GB0170 — Data-dependent branching
• GB0171 — assert with non-string message
• GB0172 — async_op=True for distributed collectives
• GB0173 — backward_state does not support export
• GB0174 — bad args to builtin cast()
• GB0175 — builtin isinstance() cannot determine type of argument
• GB0176 — call_id() without associated real value
• GB0177 — can’t handle functions not implemented in python
• GB0178 — constant fold exception
• GB0179 — copy.deepcopy()
• GB0180 — dataclass fields failure
• GB0181 — dtype mismatch between tensor and its gradient
• GB0182 — failed to broadcast when attempting Tensor comparison op
• GB0183 — failed to call dict.fromkeys()
• GB0184 — failed to call str() on user defined object
• GB0185 — failed to convert numpy.ndarray to Tensor
• GB0186 — functools.partial() with non-literal keyword
• GB0187 — functools.wraps
• GB0188 — getattr with no source
• GB0189 — getattr() on nn.Module with pending mutation
• GB0190 — getattr() with non-constant name argument
• GB0191 — id() with unsupported args
• GB0192 — input iterator to itertools.cycle has too many items
• GB0193 — invalid call to builtin op handler
• GB0194 — isinstance() called on user defined object with C extensions
• GB0195 — issubclass() with non-constant arguments
• GB0196 — key not found in dict
• GB0197 — list elements are pointing to the list itself
• GB0198 — mapping proxy affected by dictionary mutation
• GB0199 — mapping proxy cannot be reconstructed
• GB0200 — missing BUILD_SET handler
• GB0201 — namedtuple construction
• GB0202 — non-const argument in nn.Module method
• GB0203 — non-const keys in dict_keys
• GB0204 — non-const keys in mappingproxy
• GB0205 — proxy not set
• GB0206 — setattr() on Tensor.requires_grad
• GB0207 — sort with non-constant keys
• GB0208 — torch.* op returned non-Tensor
• GB0209 — torch.autograd._unsafe_preserve_version_counter escaped from compiled region
• GB0210 — torch.distributed package is not available!
• GB0211 — torch.nn.Module with a non-function custom getattr
• GB0212 — torch.profiler object escaped from compiled region
• GB0213 — unimplemented builtin op on tensor arguments
• GB0214 — unsupported SymNode comparison op
• GB0215 — unsupported Tensor comparison op
• GB0216 — unsupported grid type for triton hop check_grid
• GB0217 — unsupported hasattr operation
• GB0218 — unsupported index(Tensor)
• GB0219 — Backend compiler exception
• GB0220 — Failed to mutate tensor data attribute to different dtype
• GB0221 — non-generator contextlib.contextmanager
• GB0222 — Attempted to wrap a set with tensors
• GB0223 — torch.compile call with > 1 args
• GB0224 — Attempted to call torch in-graph function on only torch.SymInt arguments
• GB0225 — Attempted to use tensor creation function with requires_grad=True
• GB0226 — torch.nn.Parameter() with unsupported data type
• GB0227 — Attempted to use torch.nn.Parameter constructor with tensor subclass
• GB0228 — torch.nn.Parameter: cannot convert to traceable tracable
• GB0229 — Unexpected type of data placeholder op for parameter construction
• GB0230 — Attempted to use torch.use_deterministic_algorithms(warn_only=True)
• GB0231 — call torch.from_numpy with torch._dynamo.config.trace_numpy=False
• GB0232 — torch.from_numpy with NumPy unavailable
• GB0233 — Attempted to use strided NestedTensor
• GB0234 — Attempted to pop from empty torch function mode stack
• GB0235 — torch.nn.Parameter with non-constant Tensor attributes
• GB0236 — Invalid input type for nonstrict_trace-ed function
• GB0237 — non-constant requires_grad argument to torch.nn.Parameter
• GB0238 — Input marked with pytree.register_constant constructed in the torch.compile region
• GB0239 — Invalid use of pytree_flatten with nonstrict_trace-ed function
• GB0240 — Shape mismatch with out= list of tensor variants
• GB0241 — Attempted to call op with non-contiguous out= list of tensors
• GB0242 — Attempted to call op with non-contiguous out= tensor
• GB0243 — Attempted to use torch.nn.modules.utils._ntuple with unsupported argument type
• GB0244 — Attempted to use torch.nn.Parameter() with export
• GB0245 — Attempted to use nested_tensor with non-list input
• GB0246 — Attempted to use torch.nn.functional.one_hot with data-dependent output shape
• GB0247 — Shape mismatch with out= tensor variant
• GB0248 — improper torch.get_device_module arguments
• GB0249 — bad device argument to torch.accelerator.current_stream
• GB0250 — ndarray.astype(object)
• GB0251 — Unsupported output type for nonstrict_trace-ed function
• GB0252 — could not find name in object’s mro
• GB0253 — call_method on generator
• GB0254 — non-const setattr name on user-defined object
• GB0255 — attempted to call sourceless user-defined object as a method
• GB0256 — User-defined object with non-function getattr
• GB0257 — TypedDict with optional keys
• GB0258 — collections.deque() with bad arguments
• GB0259 — collections.deque() with bad iterable argument
• GB0260 — missing args to functools.partial
• GB0261 — User-defined object method with non-function func
• GB0262 — unsupported contextlib.* API
• GB0263 — attempted to trace contextlib.contextmanager
• GB0264 — Attempted to use torch.nn.Parameter() constructor with Dynamo
• GB0265 — FakeScriptObject missing method implementation
• GB0266 — Weird method call on TorchScript object
• GB0267 — Attempted to access non-callable attribute of TorchScript object
• GB0268 — Unsupported kwargs for itertools.product
• GB0269 — Forced graph break on leaf function
• GB0270 — unimplemented builtin op vars() with no arguments
• GB0271 — Class attribute mutation when the dict was already materialized
• GB0272 — Failed to make weakref to User Object when storing by ID
• GB0273 — Keyword args passed to exception constructor
• GB0274 — Attempted to reconstruct context manager’s enter method
• GB0275 — torch._dynamo.step_unsupported() with empty checkpoint
• GB0276 — Failed to make weakref to User Object
• GB0277 — Attempted to wrap sparse Tensor with VariableTracker
• GB0278 — Unsupported dict type for fromkeys()
• GB0279 — torch.fx.traceback.annotate escaped from compiled region
• GB0280 — 1-arg super not implemented
• GB0281 — Invalid or non-const argument in nn.Module getitem
• GB0282 — Placement with custom getattr not supported
• GB0283 — Failed to make weakref to graph-created external object
• GB0284 — cannot resume from torch._dynamo.step_unsupported()
• GB0285 — unsupported arguments to torch.accelerator.current_stream
• GB0286 — bad device argument to torch.get_device_module
• GB0287 — unsupported type.dict[‘annotations’].get call
• GB0288 — Can’t extract message from torch._check()
• GB0289 — unsupported method call on typing variable
• GB0290 — attempted to trace numpy.* function as a method
• GB0291 — logging.Logger method not supported for non-export cases
• GB0292 — constant-like method call with unsupported return type
• GB0293 — attempted to trace numpy function with config.trace_numpy=False
• GB0294 — attempted to trace numpy function unsupported by PyTorch
• GB0295 — cannot reconstruct NullVariable in Python < 3.11
• GB0296 — attempted to reorder a debugging function that can’t actually be reordered
• GB0297 — random.Random() with improper arguments
• GB0298 — attempted to trace torch._numpy.random function with config.use_numpy_random_stream=True
• GB0299 — constant-like method call with non-constant args
• GB0300 — numpy function that produces a const collection type encountered non-const arguments
• GB0301 — HOP: non torch.Tensor leaf
• GB0302 — HOP: non-callable variable
• GB0303 — torch.while_loop: improper args/kwargs
• GB0304 — torch.while_loop: improper additional_inputs
• GB0305 — invalid set_subgraph_inputs and sub_kwargs settings
• GB0306 — unsupported HigherOrderOperator
• GB0307 — unsupported HigherOrderOperator function call
• GB0308 — torch.while_loop: unsupported cond_fn return type
• GB0309 — torch.cond: improper args/kwargs
• GB0310 — torch.cond: improper predicate
• GB0311 — torch.cond: improper operands
• GB0312 — torch.cond: improper operands contents
• GB0313 — torch.cond: differing branch outputs
• GB0314 — HOP body output unsupported
• GB0315 — torch.associative_scan: improper xs
• GB0316 — torch.associative_scan: improper additional_inputs
• GB0317 — torch.associative_scan: zero-sized tensor
• GB0318 — torch.associative_scan: combine_fn improper number of leaves
• GB0319 — torch.associative_scan: mismatched input/output tree structure
• GB0320 — torch.scan: improper xs
• GB0321 — torch.scan: improper init
• GB0322 — torch.scan: no init leaves
• GB0323 — torch.scan: improper additional_inputs
• GB0324 — torch.scan: zero-sized tensor
• GB0325 — torch.map: kwargs not supported
• GB0326 — torch.map: improper inputs
• GB0327 — executorch_call_delegate: kwargs not supported
• GB0328 — torch.func.functional_call capture is disabled
• GB0329 — WrapHigherOrderVariable: kwargs unexpected
• GB0330 — wrap_with_set_grad_enabled: unexpected kwargs
• GB0331 — wrap_with_set_grad_enabled: non-constant grad_enabled
• GB0332 — wrap_with_set_grad_enabled: unexpected freevars
• GB0333 — wrap_with_autocast: unexpected kwargs
• GB0334 — wrap_with_autocast: unexpected freevars
• GB0335 — hints_wrapper: improper args/kwargs
• GB0336 — out_dtype: unexpected kwargs
• GB0337 — strict_mode: unexpected kwargs
• GB0338 — invoke_subgraph: kwargs unexpected
• GB0339 — torch.while_loop: infinite loop detected
• GB0340 — torch.cond: unsupported branch return type
• GB0341 — torch.associative_scan: improper args
• GB0342 — torch.scan: improper combine_fn
• GB0343 — torch.scan: improper combine_fn number of returns
• GB0344 — wrap_with_autocast: expected constant arg
• GB0345 — strict_mode: improper args
• GB0346 — autograd.Function.apply: non-function or method forward
• GB0347 — autograd.Function.apply: _materialize_non_diff_grads mutation
• GB0348 — autograd.Function.apply: non-function or method backward
• GB0349 — cannot unwrap variable for check_meta_consistency
• GB0350 — torch.cond: unsupported branch return type (constant non-int)
• GB0351 — HOP body taking non-Tensor as input
• GB0352 — autograd.Function.apply: non-function or method backward (2)
• GB0353 — rewrite_signature: cannot trace optional function input
• GB0354 — failed to find name in frame builtins
• GB0355 — non-single Tensor return unsupported
• GB0356 — failed to handle argument for FlexAttentionBackward HOP
• GB0357 — UnspecializedNNModuleVariable wrapped around ScriptModules unsupported
• GB0358 — optimizer: pending mutation on parameter
• GB0359 — unsupported torch._C._SDPAParams attribute
• GB0360 — torch.fx.experimental.symbolic_shapes.guard_scalar branch not supported
• GB0361 — triton kernel unsupported feature
• GB0362 — Attempted to access attributes/methods on an OpaqueObject
• GB0363 — An opaque object was created in the middle of the program.
• GB0364 — User-defined object with overridden hash
• GB0365 — Dynamo cannot determine whether the underlying object is hashable
• GB0366 — Dynamo cannot determine the hash of an object
• GB0367 — Dynamo cannot determine the equality comparison of an object
• GB0368 — Frozen dataclass with post_init
• GB0369 — Frozen dataclass with missing field
• GB0370 — record_function escaped from compiled region
• GB0371 — autograd.grad with output that requires grad
• GB0372 — autograd.grad with external grad_fn
• GB0373 — autograd.grad with compiled autograd
• GB0374 — Sparse tensor creation not supported
• GB0442 — backward() with empty inputs
• GB0459 — repr() on non-constant defaultdict
• GB0467 — setattr() on unsupported type
• GB0569 — repr() on tensor
• GB0682 — Non-constant GetAttrVariable hash
• GB0755 — nb_negative_impl not implemented
• GB0781 — unsupported setitem (sq_ass_item)
• GB0808 — vectorcall_maybe on C method descriptor
• GB0811 — missing tp_iter
• GB0871 — Non-constant hash return
• GB1042 — backward() with in-graph created tensor
• GB1140 — _autograd_grad with unsupported argument type
• GB1177 — nn.Module mutation in HigherOrderOp
• GB1220 — Untraceable C tp_richcompare
• GB1275 — repr() on non-constant dict view
• GB1297 — Reconstruction failure (self-referential)
• GB1319 — Reconstruct user defined class without a source
• GB1380 — Illegal getitem invocation in strict mode
• GB1381 — autograd.grad with already consumed grad_fn
• GB1501 — sparse_grad_accumulate_grad
• GB1584 — repr() on nested function with non-constructible closure
• GB1724 — autograd.grad with non-constant dict key
• GB1739 — Unsupported member type on OpaqueObject
• GB1750 — P2P compilation disabled for P2POp construction
• GB1752 — Missing tp_iteritem
• GB2019 — Unsupported autograd.Function context mark_dirty
• GB2078 — Attempted to access unregistered member on an OpaqueObject
• GB2404 — Unsupported object.new user-defined class construction
• GB2464 — autograd.Function.apply: mark_dirty input not returned
• GB2520 — assume_constant_result argument conversion failed
• GB2533 — reconstructing @contextmanager object
• GB2544 — missing sq_inplace_concat
• GB2549 — infinite generator detected
• GB2669 — Comprehension graph break in resume function with captured variables
• GB2696 — P2P compilation disabled for isend/irecv
• GB2852 — untraceable user-defined repr
• GB2861 — Untraceable C tp_hash
• GB2922 — RuntimeError when trying to get real value from fx.Node
• GB2977 — wrap_jit_function: missing _torchdynamo_inline
• GB3006 — tp_as_number slot not implemented
• GB3241 — C-level descriptor delete on user-defined object
• GB3326 — invalid ptr argument for create_tma_descriptor
• GB3343 — Cannot reconstruct P2POpVariable
• GB3383 — Pydantic dataclass constructor
• GB3697 — C-level descriptor setattr on user-defined object
• GB3775 — nb_int_impl not implemented
• GB3840 — leaf_function without fake_fn
• GB3934 — missing sq_concat
• GB4026 — triton.set_allocator not supported
• GB4197 — Unsupported Tensor.share_memory_() call
• GB4198 — Attempted to copy.deepcopy a tensor
• GB4240 — unsupported getitem
• GB4271 — class assignment on user-defined object
• GB4297 — Call to torch._dynamo.skip_frame()
• GB4315 — RuntimeError when making fake tensor call
• GB4347 — Missing tp_iternext
• GB4372 — autograd_function_kwonly_args
• GB4393 — issubclass() with unsupported arguments
• GB4411 — missing sq_contains
• GB4413 — HOP: Non-nullified side effect
• GB4501 — Reconstruction of FakeIdVariable
• GB4608 — richcompare identity fallback undetermined
• GB4636 — Call to torch._dynamo.step_unsupported()
• GB4695 — torch.jit.script/freeze modules unsupported
• GB4749 — Hashability mismatch
• GB4778 — nested function with non-constructible closure in output
• GB4841 — Unsupported python_type() call
• GB4880 — missing_mp_subscript
• GB4927 — autograd.grad consumed returned tensor’s grad_fn
• GB5173 — Tensor device mismatch
• GB5195 — elementwise_dtypes unsupported arg type
• GB5380 — repr() on non-constant set
• GB5458 — Custom metaclass with getattribute
• GB5565 — list_richcompare_ordering_symbolic
• GB5696 — Comprehension graph break with extra stack values
• GB5748 — autograd.grad with external GradientEdge
• GB5849 — non-constant key in object dict
• GB5904 — unsupported getitem (sq_item)
• GB5976 — Data pointer comparison
• GB6012 — Cannot trace user-defined len
• GB6017 — executorch_call_delegate: first arg not supported
• GB6025 — Failed to trace list()
• GB6053 — repr_impl not implemented
• GB6210 — leaf_function: nn.Module argument without source
• GB6215 — Unresolved GetAttrVariable comparison
• GB6270 — Unhandled tensor method
• GB6276 — Comprehension analysis failed: No END_FOR
• GB6297 — autograd.Function.apply: duplicate tensor input
• GB6604 — Missing CALL_INTRINSIC_2 handler
• GB6622 — list_richcompare_nonconst
• GB6663 — autograd.grad with unsupported argument type
• GB6735 — torch.library.wrap_triton call with > 1 args
• GB6890 — Missing hash_impl override
• GB6999 — unsupported variable type for dict access
• GB7000 — graph break in loop
• GB7054 — backward() with non-leaf tensor
• GB7230 — iter() with no arguments
• GB7286 — nb_float_impl not implemented
• GB7299 — _autograd_grad with lost grad_fn linkage
• GB7312 — failed to bind arguments when attempting to inline
• GB7324 — returning intermediate with requires_grad_()
• GB7425 — Comprehension with captured tensor not in local slot
• GB7444 — register_hook with stride-dependent code
• GB7489 — Unsupported argument type in tensor method call
• GB7502 — Unsupported user-defined object construction during side-effect tracking
• GB7510 — nb_positive_impl not implemented
• GB7596 — Indexing torch.Size with non-scalar tensor
• GB7637 — non-string key in object dict
• GB7650 — torch.Generator method
• GB7685 — Attribute not found on opaque class
• GB7786 — missing_mp_ass_subscript
• GB7906 — Missing len_impl
• GB7968 — repr() on non-constant list-like
• GB8315 — repr() on non-constant dict
• GB8335 — Generator reconstruction with mutations
• GB8435 — missing_mp_subscript_impl
• GB8656 — Opaque object with custom getattr not supported
• GB8843 — Opaque object member with method-type USE_REAL returned a reference-type opaque object.
• GB8887 — NamedTupleVariable.setattr bad args
• GB8977 — Invalid call to build_class
• GB8985 — requires_grad_() intermediate leaked as output
• GB9137 — non-constant typing subscript
• GB9158 — Can’t convert torch._check*() message closure
• GB9186 — using torch.autograd.grad with torch._dynamo.config.trace_autograd_ops=False
• GB9198 — Attempted to call repr() method implemented in C/C++
• GB9277 — unsupported function.get call
• GB9300 — P2P compilation disabled for batch_isend_irecv
• GB9316 — Comparison on compile-time-only id or hash value
• GB9458 — sq_repeat_impl not implemented
• GB9522 — hasattr() on unsupported type
• GB9528 — Attempted to reconstruct a nested function with closure which is not supported
• GB9548 — nb_absolute_impl not implemented
• GB9561 — sq_inplace_repeat_impl not implemented
• GB9567 — Unsupported descriptor on opaque class
• GB9625 — traceback.tb_lasti not supported
• GB9648 — Missing richcompare_impl override
• GB9672 — unsupported type.dict[‘{attr_name}’].get call
• GB9741 — skip frame due to being in functorh mode
• GB9840 — Can’t extract message from torch._check*()
• GB9860 — P2POp mutation
• GB9898 — Comprehension analysis failed: No matches