code: def _caculate_loss(self, x, y, weights):
      pred_y = self.model(x, weights)
  
      loss = F.mse_loss(pred_y, y)
  
      return loss
  
file_path: PARL/benchmark/torch/maml++/maml_algorithm.py
imports: import torch
  from torch import nn
  from torch import optim
  import torch.nn.functional
  import numpy
  import parl
label_desc: Use image node_id 7 for calling the MAML obj's underlying member method code with example usage: obj._caculate_loss(x, y, weights) and returns: loss