code: def forward(self, x):
      return self.decoder(x)
  
imports: from typing import List, Tuple
  import torch
  from torch import nn
  from gluonts.core.component import validated
  from gluonts.torch.modules.feature import FeatureEmbedder
  from gluonts.model import Input, InputSpec
  from gluonts.torch.distributions import DistributionOutput
  from gluonts.torch.scaler import StdScaler, MeanScaler, NOPScaler
  from gluonts.torch.model.simple_feedforward import make_linear_layer
  from gluonts.torch.util import weighted_average
label_desc: Use image node_id 2 for calling the DenseDecoder obj's underlying member method code with example usage: obj.forward(x) and returns: self