code: def _get_input_config(self):
      model_config = self._get_model_config()
      return {
          "batch_size": 1,
          "max_input_length": 61,
          "num_symbols": model_config["num_symbols"],
          "input_dim": model_config["input_dim"],
          "right_context_length": model_config["right_context_length"],
          "segment_length": model_config["segment_length"],
      }
  
file_path: audio/test/torchaudio_unittest/models/rnnt_decoder/rnnt_decoder_test_impl.py
imports: import torch
  from torchaudio.models import emformer_rnnt_model, RNNTBeamSearch
  from torchaudio_unittest.common_utils import TestBaseMixin, torch_script
label_desc: Use image node_id 1 for calling the RNNTBeamSearchTestImpl obj's underlying member method code with example usage: obj._get_input_config() and returns: dict