class_docstr: MSELoss
class_docstr_tok: ["MSELoss"]
docstr: Returns definitions of module input ports.
          
docstr_tok: ["Returns","definitions","of","module","input","ports","."]
code: def input_types(self):
      """Returns definitions of module input ports."""
      return {
          "preds": NeuralType(tuple("B"), RegressionValuesType()),
          "labels": NeuralType(tuple("B"), LabelsType()),
      }
  
file_path: NeMo/nemo/collections/common/losses/mse_loss.py
imports: from torch import Tensor, nn
  from nemo.core.classes import Serialization, Typing, typecheck
  from nemo.core.neural_types import LabelsType, LossType, NeuralType, RegressionValuesType
label_desc: Use image node_id 1 for calling the MSELoss obj's underlying member method code with example usage: obj.input_types() and returns: dict