def create_and_check_xxx_for_masked_lm(self, config, input_ids,
token_type_ids, input_mask,
sequence_labels, token_labels,
choice_labels):
model = TFXxxForMaskedLM(config=config)
inputs = {
"input_ids": input_ids,
"attention_mask": input_mask,
"token_type_ids": token_type_ids
}
result = model(inputs)
self.parent.assertListEqual(
list(result["logits"].shape),
[self.batch_size, self.seq_length, self.vocab_size])
def create_and_check_xxx_for_masked_lm(self, config, input_ids,
token_type_ids, input_mask,
sequence_labels, token_labels,
choice_labels):
model = TFXxxForMaskedLM(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])