between PyTorch and ONNX Runtime outputs are exactly the same.
        Set this to False to allow output shape broadcasting. Default
        to True.
  * **check_dtype** (*bool*) -- Whether to check the dtypes
    between PyTorch and ONNX Runtime outputs are consistent.
    Default to True.

  * **backend** (*torch.onnx.verification.OnnxBackend*) -- ONNX
    backend for verification. Default to
    OnnxBackend.ONNX_RUNTIME_CPU.

  * **rtol** (*float*) -- relative tolerance in comparison between
    ONNX and PyTorch outputs.

  * **atol** (*float*) -- absolute tolerance in comparison between
    ONNX and PyTorch outputs.

  * **remained_onnx_input_idx**
    (*Optional**[**Sequence**[**int**]**]*) -- If provided, only
    the specified inputs will be passed to the ONNX model. Supply
    a list when there are unused inputs in the model. Since unused
    inputs will be removed in the exported ONNX model, supplying
