code: def forward(self, x):
      x = self.dense1(x)
      x = self.activation1(x)
      x = self.dense2(x)
      x = self.activation2(x)
      x = self.dense3(x)
      x = self.softmax(x)
      return x
  
file_path: keras/benchmarks/torch_ctl_benchmark/dense_model_benchmark.py
imports: import numpy
  import torch
  import torch.nn
  import torch.optim
  import keras
  from benchmarks.torch_ctl_benchmark.benchmark_utils import train_loop
  from keras import layers
label_desc: Use image node_id 2 for calling the TorchModel obj's underlying member method code with example usage: obj.forward(x) and returns: x