def create_and_check_distilbert_for_masked_lm( self, config, input_ids, input_mask, sequence_labels, token_labels, choice_labels ): model = TFDistilBertForMaskedLM(config=config) inputs = {"input_ids": input_ids, "attention_mask": input_mask} result = model(inputs) self.parent.assertListEqual(list(result["logits"].shape), [self.batch_size, self.seq_length, self.vocab_size])
def create_and_check_distilbert_for_masked_lm(self, config, input_ids, input_mask, sequence_labels, token_labels, choice_labels): model = TFDistilBertForMaskedLM(config=config) inputs = {'input_ids': input_ids, 'attention_mask': input_mask} (prediction_scores,) = model(inputs) result = { "prediction_scores": prediction_scores.numpy(), } self.parent.assertListEqual( list(result["prediction_scores"].shape), [self.batch_size, self.seq_length, self.vocab_size])