code: def _get_model_config(self):
      return {
          "input_dim": 80,
          "encoding_dim": 128,
          "num_symbols": 256,
          "segment_length": 16,
          "right_context_length": 4,
          "time_reduction_input_dim": 128,
          "time_reduction_stride": 4,
          "transformer_num_heads": 4,
          "transformer_ffn_dim": 64,
          "transformer_num_layers": 3,
          "transformer_dropout": 0.0,
          "transformer_activation": "relu",
          "transformer_left_context_length": 30,
          "transformer_max_memory_size": 0,
          "transformer_weight_init_scale_strategy": "depthwise",
          "transformer_tanh_on_mem": True,
          "symbol_embedding_dim": 64,
          "num_lstm_layers": 2,
          "lstm_layer_norm": True,
          "lstm_layer_norm_epsilon": 1e-3,
          "lstm_dropout": 0.0,
      }
  
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 2 for calling the RNNTBeamSearchTestImpl obj's underlying member method code with example usage: obj._get_model_config() and returns: dict