subclass_test_failure.txt

E
======================================================================
ERROR: test_torch_function_call_to_size_within_aot_autograd_graph (__main__.TestNestedTensor.test_torch_function_call_to_size_within_aot_autograd_graph)
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Traceback (most recent call last):
  File "/data/users/dberard/pytorch/torch/testing/_internal/common_utils.py", line 2739, in wrapper
    method(*args, **kwargs)
  File "/data/users/dberard/pytorch/test/dynamo/test_subclasses.py", line 1403, in test_torch_function_call_to_size_within_aot_autograd_graph
    compiled_fn(x, y)
  File "/data/users/dberard/pytorch/torch/_dynamo/eval_frame.py", line 451, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 921, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state, skip=1)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 400, in _convert_frame_assert
    return _compile(
           ^^^^^^^^^
  File "/home/dberard/.conda/envs/pytorch311/lib/python3.11/contextlib.py", line 81, in inner
    return func(*args, **kwds)
           ^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 676, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/utils.py", line 262, in time_wrapper
    r = func(*args, **kwargs)
        ^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 535, in compile_inner
    out_code = transform_code_object(code, transform)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/bytecode_transformation.py", line 1036, in transform_code_object
    transformations(instructions, code_options)
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 165, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/convert_frame.py", line 500, in transform
    tracer.run()
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 2149, in run
    super().run()
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 810, in run
    and self.step()
        ^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 773, in step
    getattr(self, inst.opname)(inst)
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 1311, in LOAD_ATTR
    result = BuiltinVariable(getattr).call_function(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/variables/builtin.py", line 687, in call_function
    result = handler(tx, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/variables/builtin.py", line 1277, in call_getattr
    return obj.var_getattr(tx, name)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/variables/torch_function.py", line 218, in var_getattr
    return self.call_torch_function(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/variables/torch_function.py", line 229, in call_torch_function
    return call_torch_function(
           ^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/variables/torch_function.py", line 94, in call_torch_function
    return tx.inline_user_function_return(torch_function_var, tf_args, {})
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 680, in inline_user_function_return
    return InliningInstructionTranslator.inline_call(self, fn, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 2285, in inline_call
    return cls.inline_call_(parent, func, args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 2329, in inline_call_
    result = InliningInstructionTranslator.check_inlineable(func)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/dberard/pytorch/torch/_dynamo/symbolic_convert.py", line 2313, in check_inlineable
    unimplemented(
  File "/data/users/dberard/pytorch/torch/_dynamo/exc.py", line 190, in unimplemented
    raise Unsupported(msg)
torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function TestNestedTensor.test_torch_function_call_to_size_within_aot_autograd_graph.<locals>.TestTensor.__torch_function__ at 0x7f24bc369620>

from user code:
   File "/data/users/dberard/pytorch/test/dynamo/test_subclasses.py", line 1391, in fn
    z = x.shape[0] * y.shape[0]

Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information


You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True


To execute this test, run the following from the base repo dir:
     python test/dynamo/test_subclasses.py -k test_torch_function_call_to_size_within_aot_autograd_graph

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

----------------------------------------------------------------------
Ran 1 test in 0.128s

FAILED (errors=1)
inline_call [('call torch._dynamo.disable() wrapped function <function TestNestedTensor.test_torch_function_call_to_size_within_aot_autograd_graph.<locals>.TestTensor.__torch_function__ at 0x7f24bc369620>', 1)]