code: def inputs(self) -> Dict[str, Dict[int, str]]:
      common_inputs = {}
      if self._behavior is not ConfigBehavior.DECODER:
          common_inputs["input_ids"] = {
              0: "batch_size",
              1: "encoder_sequence_length",
          }
  
      common_inputs["attention_mask"] = {
          0: "batch_size",
          1: "encoder_sequence_length",
      }
  
      if self._behavior is not ConfigBehavior.ENCODER:
          # TODO: it is likely this pop() is unwanted as we then always hit
          # https://github.com/huggingface/transformers/blob/v4.26.0/src/transformers/models/t5/modeling_t5.py#L965-L969
          common_inputs.pop("attention_mask")
  
          if self.use_past_in_inputs:
              # TODO: validate the axis name for attention_mask
              # common_inputs["attention_mask"][1] = "past_encoder_sequence_length + sequence_length"
              common_inputs["decoder_input_ids"] = {0: "batch_size"}
          else:
              common_inputs["decoder_input_ids"] = {
                  0: "batch_size",
                  1: "decoder_sequence_length",
              }
  
          if self.use_past_in_inputs:
              self.add_past_key_values(
                  common_inputs, direction="inputs"
              )
  
      if self._behavior is ConfigBehavior.DECODER:
          common_inputs["encoder_outputs"] = {
              0: "batch_size",
              1: "encoder_sequence_length",
          }
  
      return common_inputs
  
imports: from collections import OrderedDict
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Tuple, Union
  from transformers.utils import is_tf_available
  from ...onnx import merge_decoders
  from ...utils import DummyAudioInputGenerator, DummyBboxInputGenerator, DummyInputGenerator, DummyPastKeyValuesGenerator, DummySeq2SeqDecoderTextInputGenerator, DummySeq2SeqPastKeyValuesGenerator, DummyTextInputGenerator, DummyVisionInputGenerator, is_diffusers_available, logging
  from .base import ConfigBehavior, OnnxConfig, OnnxConfigWithPast, OnnxSeq2SeqConfigWithPast
  from .constants import ONNX_DECODER_MERGED_NAME, ONNX_DECODER_NAME, ONNX_DECODER_WITH_PAST_NAME
  from .model_patcher import DecoderModelPatcher
label_desc: Use image node_id 2 for calling the EncoderDecoderBaseOnnxConfig obj's underlying member method code with example usage: obj.inputs() and returns: common_inputs