class_docstr: Convolution layers with residual connection
docstr: Model forward pass.
  
  Args:
      x (tf.Tensor): Input tensor.
  
  Returns:
      tf.Tensor: Output tensor.
docstr_tok: ["Model","forward","pass",".","Args",":","x","(","tf.Tensor",")",":","Input","tensor",".","Returns",":","tf.Tensor",":","Output","tensor","."]
code: def call(self, x):
      """Model forward pass.
  
      Args:
          x (tf.Tensor): Input tensor.
  
      Returns:
          tf.Tensor: Output tensor.
      """
  
      output = self.conv_layer1(x)
      output = self.dropout_layer(output)
  
      output = self.conv_layer2(output)
      output = self.dropout_layer(output)
  
      # Residual connection
      output += x
  
      return output
  
imports: import random
  import numpy
  from tqdm import tqdm
  import tensorflow
  from recommenders.utils.timer import Timer
label_desc: Use image node_id 2 for calling the PointWiseFeedForward obj's underlying member method code with example usage: obj.call(x) and returns: output