code: def forward(self, x):
      seasonal_init, trend_init = self.decompsition(x)
      seasonal_output = self.linear_seasonal(seasonal_init)
      trend_output = self.linear_trend(trend_init)
  
      x = seasonal_output + trend_output
      return x
  
file_path: BigDL/python/chronos/src/bigdl/chronos/pytorch/model_wrapper/decomposition.py
imports: import torch.nn
  import torch
label_desc: Use image node_id 2 for calling the DecompositionTSModel obj's underlying member method code with example usage: obj.forward(x) and returns: x