code: def forward(self, x):
      return self.linear(x)
  
file_path: fairscale/tests/experimental/optim/test_dynamic_loss_scaler.py
imports: import numpy
  import torch
  import torch.nn
  import torch.optim
  from fairscale.experimental.optim.dynamic_loss_scaler import DynamicLossScaler
label_desc: Use image node_id 2 for calling the ManualLinearRegression obj's underlying member method code with example usage: obj.forward(x) and returns: self