class_docstr: MSELoss
class_docstr_tok: ["MSELoss"]
docstr: Args:
      reduction: type of the reduction over the batch
docstr_tok: ["Args",":","reduction",":","type","of","the","reduction","over","the","batch"]
code: def __init__(self, reduction: str = "mean"):
      """
      Args:
          reduction: type of the reduction over the batch
      """
      super().__init__(reduction=reduction)
  
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 3 to create a new MSELoss object from inherited base classes: nn, Serialization, Typing with example: obj = MSELoss(reduction)