def create_and_check_imagegpt_model(self, config, pixel_values, input_mask,
head_mask, token_type_ids, *args):
model = ImageGPTModel(config=config)
model.to(torch_device)
model.eval()
result = model(pixel_values,
token_type_ids=token_type_ids,
head_mask=head_mask)
result = model(pixel_values, token_type_ids=token_type_ids)
result = model(pixel_values)
self.parent.assertEqual(
result.last_hidden_state.shape,
(self.batch_size, self.seq_length, self.hidden_size))
self.parent.assertEqual(len(result.past_key_values), config.n_layer)
def test_model_from_pretrained(self):
for model_name in IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = ImageGPTModel.from_pretrained(model_name)
self.assertIsNotNone(model)