class_docstr: MSELoss
class_docstr_tok: ["MSELoss"]
docstr: Args:
      preds: output of the classifier
      labels: ground truth labels
docstr_tok: ["Args",":","preds",":","output","of","the","classifier","labels",":","ground","truth","labels"]
code: def forward(self, preds: Tensor, labels: Tensor) -> Tensor:
      """
      Args:
          preds: output of the classifier
          labels: ground truth labels
      """
      return super().forward(preds, labels)
  
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 4 for calling the MSELoss obj's underlying member method code with example usage: obj.forward(preds, labels) and returns: super