code: def test_torchloss_constructor(self):
      criterion = nn.MSELoss()
      TorchLoss.from_pytorch(criterion)
  
imports: import torch
  from torch import nn
  import torchvision
  import pytest
  from unittest import TestCase
  from bigdl.orca.torch import TorchModel, TorchLoss
  from bigdl.dllib.nncontext import *
  from torch.utils.data import TensorDataset, DataLoader
  from bigdl.dllib.estimator import *
  from bigdl.dllib.keras.optimizers import Adam
  from bigdl.dllib.optim.optimizer import MaxEpoch, EveryEpoch
  from bigdl.dllib.keras.metrics import Accuracy
  from bigdl.dllib.feature.common import FeatureSet
label_desc: Use image node_id 4 for calling the TestPytorch obj's underlying member method code with example usage: obj.test_torchloss_constructor() without return types