code: def inputs(self) -> Mapping[str, Mapping[int, str]]:
      return OrderedDict(
          [
              (
                  "pixel_values",
                  {
                      0: "batch",
                      1: "num_channels",
                      2: "height",
                      3: "width",
                  },
              ),
          ]
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/segformer/configuration_segformer.py
imports: import warnings
  from collections import OrderedDict
  from typing import Mapping
  from packaging import version
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
label_desc: Use image node_id 1 for calling the SegformerOnnxConfig obj's underlying member method code with example usage: obj.inputs() and returns: OrderedDict