def create_and_check_distilbert_model(self, config, input_ids, input_mask, sequence_labels, token_labels, choice_labels): model = DistilBertModel(config=config) model.to(torch_device) model.eval() result = model(input_ids, input_mask) result = model(input_ids) self.parent.assertListEqual( list(result["last_hidden_state"].size()), [self.batch_size, self.seq_length, self.hidden_size])
def create_and_check_distilbert_model(self, config, input_ids, input_mask, sequence_labels, token_labels, choice_labels): model = DistilBertModel(config=config) model.eval() (sequence_output,) = model(input_ids, input_mask) (sequence_output,) = model(input_ids) result = { "sequence_output": sequence_output, } self.parent.assertListEqual( list(result["sequence_output"].size()), [self.batch_size, self.seq_length, self.hidden_size])