import torch

def f(x: torch.Tensor):
    torch.ops.aten._assert_tensor_metadata.default(x, size=[10])

x = torch.empty(10)
f(x)                 # works
torch.compile(f)(x)  # crashes

---

Traceback (most recent call last):
  File "bug.py", line 8, in <module>
    torch.compile(f)(x)  # crashes
    ~~~~~~~~~~~~~~~~^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/eval_frame.py", line 1041, in compile_wrapper
    return fn(*args, **kwargs)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 2432, in __call__
    result = self._torchdynamo_orig_backend(
        frame, cache_entry, self.hooks, frame_state, skip=1
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 2150, in __call__
    result = self._inner_convert(
        frame, cache_entry, hooks, frame_state, skip=skip + 1
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 735, in __call__
    result = _compile(
        frame.f_code,
    ...<16 lines>...
        convert_frame_box=self._box,
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1919, in _compile
    guarded_code, tracer_output = compile_inner(code, one_graph, hooks)
                                  ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_utils_internal.py", line 96, in wrapper_function
    return function(*args, **kwargs)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1535, in compile_inner
    result = _compile_inner(code, one_graph, hooks)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1594, in _compile_inner
    dynamo_output = compile_frame(
        code,
    ...<11 lines>...
        package=package,
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1442, in compile_frame
    bytecode, tracer_output = transform_code_object(code, transform)
                              ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/bytecode_transformation.py", line 1626, in transform_code_object
    tracer_output = transformations(instructions, code_options)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1414, in transform
    tracer_output = trace_frame(
        code,
    ...<14 lines>...
        package=package,
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 342, in _fn
    return fn(*args, **kwargs)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 875, in trace_frame
    run_tracer()
    ~~~~~~~~~~^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 856, in run_tracer
    tracer.run()
    ~~~~~~~~~~^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1704, in run
    while self.step():
          ~~~~~~~~~^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1371, in step
    self.dispatch_table[inst.opcode](self, inst)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 908, in wrapper
    return inner_fn(self, inst)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4276, in CALL_KW
    self._call(inst, call_kw=True)
    ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4052, in _call
    self.call_function(fn, args, kwargs)
    ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1272, in call_function
    self.push(fn.call_function(self, args, kwargs))  # type: ignore[arg-type]
              ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/variables/torch.py", line 2600, in call_function
    tensor_variable = wrap_fx_proxy(
        tx=tx,
    ...<4 lines>...
        ),
    )
  File "/.../lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3073, in wrap_fx_proxy
    return wrap_fx_proxy_cls(target_cls=TensorVariable, **kwargs)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3148, in wrap_fx_proxy_cls
    out: VTTypeAlias = _wrap_fx_proxy(
                       ~~~~~~~~~~~~~~^
        target_cls, tx, proxy, example_value, subclass_type, **options
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3272, in _wrap_fx_proxy
    example_value = get_fake_value(proxy.node, tx, allow_non_graph_fake=True)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3736, in get_fake_value
    return _get_fake_value_impl(node, tx, allow_non_graph_fake)
  File "/.../lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3927, in _get_fake_value_impl
    _wrap_graph_break_with_torch_runtime_err(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        lambda: unimplemented(
        ^^^^^^^^^^^^^^^^^^^^^^
    ...<5 lines>...
        )
        ^
    )
    ^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3725, in _wrap_graph_break_with_torch_runtime_err
    raise exc.with_traceback(e.__traceback__) from None
  File "/.../lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3722, in _wrap_graph_break_with_torch_runtime_err
    gb_fn()
    ~~~~~^^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3928, in <lambda>
    lambda: unimplemented(
            ~~~~~~~~~~~~~^
        gb_type="RuntimeError when making fake tensor call",
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<3 lines>...
        from_exc=cause,
        ^^^^^^^^^^^^^^^
    )
    ^
  File "/.../lib/python3.14/site-packages/torch/_dynamo/exc.py", line 653, in unimplemented
    raise Unsupported(
        msg, gb_type, skip_frame, real_stack=past_real_stack
    ) from from_exc
torch._dynamo.exc.TorchRuntimeError: RuntimeError when making fake tensor call
  Explanation: Dynamo failed to run FX node with fake tensors: call_function aten._assert_tensor_metadata.default(*(FakeTensor(..., size=(10,)),), **{'size': [10]}): got AssertionError('Tensor sizes mismatch! Expected: [10], Got: torch.Size([10])')
  Hint: Your code may 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. You can do this by removing the `torch.compile` call, or by using `torch.compiler.set_stance("force_eager")`. 

  Developer debug context: 

 For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb4315.html

from user code:
   File "bug.py", line 4, in f
    torch.ops.aten._assert_tensor_metadata.default(x, size=[10])

---

Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A

OS: macOS 26.3.1 (arm64)
GCC version: Could not collect
Clang version: 17.0.0 (clang-1700.6.3.2)
CMake version: version 4.2.3
Libc version: N/A

Python version: 3.14.2 (v3.14.2:df793163d58, Dec  5 2025, 12:18:06) [Clang 16.0.0 (clang-1600.0.26.6)] (64-bit runtime)
Python platform: macOS-26.3.1-arm64-arm-64bit-Mach-O
Is CUDA available: N/A
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect
Is XPU available: N/A
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
Caching allocator config: N/A

CPU:
Apple M4 Pro

Versions of relevant libraries:
[pip3] No relevant packages
[conda] Could not collect