code: def call(self, inputs, training=None):
      x = inputs + self.drop_path(
          self.attn(self.norm1(inputs)), training=training
      )
      x = x + self.drop_path(self.mlp(self.norm2(x)), training=training)
      return x
  
imports: import tensorflow
  from tensorflow.keras import Model, layers, initializers
  import numpy
label_desc: Use image node_id 2 for calling the Block obj's underlying member method code with example usage: obj.call(inputs, training) and returns: x