code: def __call__(self, X):
      with tf.compat.v1.variable_scope(self.scope):
          conv1_out = self.conv1(X)
          conv1_dropout = tf.nn.dropout(conv1_out, rate=self.rate)
          conv2_out = self.conv2(conv1_dropout)
          conv2_dropout = tf.nn.dropout(conv2_out, rate=self.rate)
  
      # residuals
      if X.get_shape()[-1] == self.n_filters:
          output = conv2_dropout + X
      else:
          downsampled_out = self.downsample(X)
          output = conv2_dropout + downsampled_out
  
      return output
  
imports: import tensorflow
  from finetune.util.shapes import lengths_from_eos_idx
  from finetune.base_models.gpt.featurizer import dropout, embed
label_desc: Use image node_id 2 for calling the TemporalBlock obj's underlying member method code with example usage: obj.__call__(X) and returns: output