code: def conformer_encoder_config() -> Dict:
      return {
          "_target_": "nemo.collections.asr.modules.ConformerEncoder",
          "feat_in": 64,
          "n_layers": 8,
          "d_model": 4,
      }
  
file_path: NeMo/tests/collections/asr/test_asr_interctc_models.py
imports: from typing import Dict
  import pytest
  import pytorch_lightning
  import torch
  from omegaconf import DictConfig, ListConfig
  from nemo.collections.asr.models import EncDecCTCModel, EncDecHybridRNNTCTCModel
  from nemo.collections.asr.parts.submodules.ctc_decoding import CTCDecodingConfig
  from nemo.core.classes.mixins import AccessMixin
label_desc: Use image node_id 2 for calling a global function with example usage: conformer_encoder_config() and returns: dict