Traceback (most recent call last):
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 324, in _compile
    out_code = transform_code_object(code, transform)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/bytecode_transformation.py", line 530, in transform_code_object
    transformations(instructions, code_options)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 311, in transform
    tracer.run()
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1862, in run
    super().run()
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 619, in run
    and self.step()
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 583, in step
    getattr(self, inst.opname)(inst)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 349, in wrapper
    return inner_fn(self, inst)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 1063, in CALL_FUNCTION_KW
    self.call_function(fn, args, kwargs)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 517, in call_function
    self.push(fn.call_function(self, args, kwargs))
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/variables/torch.py", line 562, in call_function
    if isinstance(args[0], ListVariable) and check_any_unspec(args[0]):
IndexError: list index out of range

from user code:
   File "tensor_compile.py", line 4, in fn
    res = torch.tensor(data=[[1., -1.]])

Set torch._dynamo.config.verbose=True for more information


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


The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "tensor_compile.py", line 9, in <module>
    res_fwd = fn()
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 231, in _fn
    return fn(*args, **kwargs)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 368, in catch_errors
    return callback(frame, cache_size, hooks)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 404, in _convert_frame
    result = inner_convert(frame, cache_size, hooks)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 104, in _fn
    return fn(*args, **kwargs)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 262, in _convert_frame_assert
    return _compile(
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 164, in time_wrapper
    r = func(*args, **kwargs)
  File "/home/jthakur/.pt_2_0/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 394, in _compile
    raise InternalTorchDynamoError() from e
torch._dynamo.exc.InternalTorchDynamoError

import torch
def fn():
    res = torch.tensor(data=[[1., -1.]])
    return res

if __name__ == "__main__":
    fn = torch.compile(fn)
    res_fwd = fn()
    print(res_fwd)