class_docstr: Combines encoder_embedding with the encoder component
class_docstr_tok: ["Combines","encoder_embedding","with","the","encoder","component"]
code: def input_types(self) -> Optional[Dict[str, NeuralType]]:
      return {
          "input_ids": NeuralType(("B", "T"), ChannelType()),
          "encoder_mask": NeuralType(("B", "T"), MaskType()),
      }
  
imports: import random
  from typing import Dict, List, Optional
  import torch
  import torch.nn.functional
  from nemo.collections.nlp.modules.common.megatron.utils import build_position_ids
  from nemo.core.classes.exportable import Exportable
  from nemo.core.neural_types import ChannelType, EncodedRepresentation, MaskType, NeuralType
label_desc: Use image node_id 7 for calling the EncEmb obj's underlying member method code with example usage: obj.input_types() and returns: dict