def create_and_check_electra_for_masked_lm( self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels ): model = TFElectraForMaskedLM(config=config) inputs = {"input_ids": input_ids, "attention_mask": input_mask, "token_type_ids": token_type_ids} (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] )
def create_and_check_electra_for_masked_lm(self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels): model = TFElectraForMaskedLM(config=config) inputs = { "input_ids": input_ids, "attention_mask": input_mask, "token_type_ids": token_type_ids } result = model(inputs) self.parent.assertEqual( result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))