code: def additive_write(memory, address, values):
      """Additively writes values to memory at given address.
  
      M_t = M_{t-1} + w_t a_t^T.
  
      Args:
        memory: 3D Tensor [batch_size, memory_size, word_size].
        address: 3D Tensor [batch_size, num_writes, memory_size].
        values: 3D Tensor [batch_size, num_writes, word_size].
  
      Returns:
        3D Tensor [batch_size, num_reads, word_size].
      """
      with tf.name_scope("write_memory"):
          add_matrix = tf.matmul(address, values, adjoint_a=True)
          return memory + add_matrix
  
imports: import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: additive_write(memory, address, values) and returns: unknown