def test_save_load_pretrained_additional_features(self):
processor = CLIPProcessor(
tokenizer=self.get_tokenizer(),
feature_extractor=self.get_feature_extractor())
processor.save_pretrained(self.tmpdirname)
tokenizer_add_kwargs = self.get_tokenizer(bos_token="(BOS)",
eos_token="(EOS)")
feature_extractor_add_kwargs = self.get_feature_extractor(
do_normalize=False, padding_value=1.0)
processor = CLIPProcessor.from_pretrained(self.tmpdirname,
bos_token="(BOS)",
eos_token="(EOS)",
do_normalize=False,
padding_value=1.0)
self.assertEqual(processor.tokenizer.get_vocab(),
tokenizer_add_kwargs.get_vocab())
self.assertIsInstance(processor.tokenizer, CLIPTokenizerFast)
self.assertEqual(processor.feature_extractor.to_json_string(),
feature_extractor_add_kwargs.to_json_string())
self.assertIsInstance(processor.feature_extractor,
CLIPFeatureExtractor)
def test_save_load_pretrained_default(self):
tokenizer_slow = self.get_tokenizer()
tokenizer_fast = self.get_rust_tokenizer()
feature_extractor = self.get_feature_extractor()
processor_slow = CLIPProcessor(tokenizer=tokenizer_slow,
feature_extractor=feature_extractor)
processor_slow.save_pretrained(self.tmpdirname)
processor_slow = CLIPProcessor.from_pretrained(self.tmpdirname,
use_fast=False)
processor_fast = CLIPProcessor(tokenizer=tokenizer_fast,
feature_extractor=feature_extractor)
processor_fast.save_pretrained(self.tmpdirname)
processor_fast = CLIPProcessor.from_pretrained(self.tmpdirname)
self.assertEqual(processor_slow.tokenizer.get_vocab(),
tokenizer_slow.get_vocab())
self.assertEqual(processor_fast.tokenizer.get_vocab(),
tokenizer_fast.get_vocab())
self.assertEqual(tokenizer_slow.get_vocab(),
tokenizer_fast.get_vocab())
self.assertIsInstance(processor_slow.tokenizer, CLIPTokenizer)
self.assertIsInstance(processor_fast.tokenizer, CLIPTokenizerFast)
self.assertEqual(processor_slow.feature_extractor.to_json_string(),
feature_extractor.to_json_string())
self.assertEqual(processor_fast.feature_extractor.to_json_string(),
feature_extractor.to_json_string())
self.assertIsInstance(processor_slow.feature_extractor,
CLIPFeatureExtractor)
self.assertIsInstance(processor_fast.feature_extractor,
CLIPFeatureExtractor)
def test_save_load_pretrained_default(self):
tokenizer = self.get_tokenizer()
feature_extractor = self.get_feature_extractor()
processor = CLIPProcessor(tokenizer=tokenizer, feature_extractor=feature_extractor)
processor.save_pretrained(self.tmpdirname)
processor = CLIPProcessor.from_pretrained(self.tmpdirname)
self.assertEqual(processor.tokenizer.get_vocab(), tokenizer.get_vocab())
self.assertIsInstance(processor.tokenizer, CLIPTokenizer)
self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor.to_json_string())
self.assertIsInstance(processor.feature_extractor, CLIPFeatureExtractor)