gistfile1.txt

  File "/data/users/mlazos/pytorch/torch/_dynamo/convert_frame.py", line 791, in trace_frame
    tracer = InstructionTranslator(
             ^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/mlazos/pytorch/torch/_dynamo/symbolic_convert.py", line 4461, in __init__
    self.symbolic_stream_state = SymbolicStreamState()
                                 ^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/mlazos/pytorch/torch/_dynamo/variables/streams.py", line 76, in __init__
    if torch.accelerator.is_available():
       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/mlazos/pytorch/torch/accelerator/__init__.py", line 90, in is_available
    mod = torch.get_device_module(acc)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/data/users/mlazos/pytorch/torch/__init__.py", line 2821, in get_device_module
    raise RuntimeError(
torch._dynamo.exc.InternalTorchDynamoError: RuntimeError: Device 'maia' does not have a corresponding module registered as 'torch.maia'.

Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"


To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_DYNAMO=1 python test/test_rename_privateuse1_to_existing_device.py TestRenamePrivateuseoneToExistingBackend.test_external_module_register_with_existing_backend

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0