code: def prepare_opt_inputs_dict(
      config, input_ids, attention_mask=None, head_mask=None
  ):
      if attention_mask is None:
          attention_mask = tf.cast(
              tf.math.not_equal(input_ids, config.pad_token_id), tf.int8
          )
      return {"input_ids": input_ids, "attention_mask": attention_mask}
  
imports: import unittest
  import numpy
  from transformers import OPTConfig, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_opt_inputs_dict(config, input_ids, attention_mask, head_mask) and returns: dict