code: def split_heads(self, x, batch_size):
      x = tf.reshape(x, (batch_size, -1, self.num_heads, self.depth))
      return tf.transpose(x, perm=[0, 2, 1, 3])
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling the MultiHeadAttention obj's underlying member method code with example usage: obj.split_heads(x, batch_size) and returns: tf