parameters: (self, mod: torch.fx.GraphModule, inputs: Tensors)
docstring: Run `mod` with `inputs` and generate output. The output will be compared with
          output of run_b().
docstring_summary: Run `mod` with `inputs` and generate output. The output will be compared with
          output of run_b().
docstring_tokens: Run mod with inputs and generate output . The output will be compared with output of run_b () .
function: def run_a(self, mod: torch.fx.GraphModule, inputs: Tensors) -> TensorOrTensors:
          """
          Run `mod` with `inputs` and generate output. The output will be compared with
          output of run_b().
          """
          raise RuntimeError("run_a() is not implemented.")
function_tokens: def run_a ( self , mod : torch . fx . GraphModule , inputs : Tensors ) -> TensorOrTensors : raise RuntimeError ( "run_a() is not implemented." )