code: def call(self, inputs, **kwargs):
      batch_size, _, _ = inputs.shape
  
      # [1, 1, 768] -> [B, 1, 768]
      cls_token = tf.broadcast_to(
          self.cls_token, shape=[batch_size, 1, self.embed_dim]
      )
      x = tf.concat([cls_token, inputs], axis=1)  # [B, 197, 768]
      x = x + self.pos_embed
  
      return x
  
imports: import tensorflow
  from tensorflow.keras import Model, layers, initializers
  import numpy
label_desc: Use image node_id 3 for calling the ConcatClassTokenAddPosEmbed obj's underlying member method code with example usage: obj.call(inputs) and returns: x