code: def create_masks(inp, tar):
      enc_padding_mask = create_padding_mask(inp)
      dec_padding_mask = create_padding_mask(inp)
      look_ahead_mask = create_look_ahead_mask(tf.shape(tar)[1])
      dec_target_padding_mask = create_padding_mask(tar)
      combined_mask = tf.maximum(
          dec_target_padding_mask, look_ahead_mask
      )
      return enc_padding_mask, combined_mask, dec_padding_mask
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: create_masks(inp, tar) and returns: enc_padding_mask,  combined_mask,  dec_padding_mask