def create_and_check_model(self, config, input_ids, input_mask):
model = TFCLIPTextModel(config=config)
result = model(input_ids, attention_mask=input_mask, training=False)
result = model(input_ids, training=False)
self.parent.assertEqual(
result.last_hidden_state.shape,
(self.batch_size, self.seq_length, self.hidden_size))
self.parent.assertEqual(result.pooler_output.shape,
(self.batch_size, self.hidden_size))
def test_model_from_pretrained(self):
for model_name in TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
model = TFCLIPTextModel.from_pretrained(model_name)
self.assertIsNotNone(model)