def create_and_check_model(
self,
config,
input_ids,
token_type_ids,
input_mask,
pixel_values,
token_labels,
):
model = ViltModel(config=config)
model.to(torch_device)
model.eval()
result = model(input_ids,
attention_mask=input_mask,
token_type_ids=token_type_ids,
pixel_values=pixel_values)
result = model(input_ids,
token_type_ids=token_type_ids,
pixel_values=pixel_values)
result = model(input_ids, pixel_values=pixel_values)
self.parent.assertEqual(
result.last_hidden_state.shape,
(self.batch_size, self.expected_seq_len, self.hidden_size))
def test_model_from_pretrained(self):
for model_name in VILT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = ViltModel.from_pretrained(model_name)
self.assertIsNotNone(model)