Chat template: save and load correctly for processors (#33462)
* fix * add tests * fix tests * Update tests/models/llava/test_processor_llava.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix * fix tests * update tests --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -11,6 +11,7 @@
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import shutil
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import tempfile
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import unittest
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@@ -32,11 +33,11 @@ class LlavaProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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def setUp(self):
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self.tmpdirname = tempfile.mkdtemp()
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image_processor = CLIPImageProcessor(do_center_crop=False)
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tokenizer = LlamaTokenizerFast.from_pretrained("huggyllama/llama-7b")
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processor = LlavaProcessor(image_processor=image_processor, tokenizer=tokenizer)
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processor_kwargs = self.prepare_processor_dict()
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processor = LlavaProcessor(image_processor, tokenizer, **processor_kwargs)
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processor.save_pretrained(self.tmpdirname)
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def get_tokenizer(self, **kwargs):
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@@ -48,6 +49,28 @@ class LlavaProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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def tearDown(self):
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shutil.rmtree(self.tmpdirname)
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def prepare_processor_dict(self):
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return {"chat_template": "dummy_template"}
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@unittest.skip(
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"Skip because the model has no processor kwargs except for chat template and"
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"chat template is saved as a separate file. Stop skipping this test when the processor"
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"has new kwargs saved in config file."
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)
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def test_processor_to_json_string(self):
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pass
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def test_chat_template_is_saved(self):
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processor_loaded = self.processor_class.from_pretrained(self.tmpdirname)
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processor_dict_loaded = json.loads(processor_loaded.to_json_string())
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# chat templates aren't serialized to json in processors
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self.assertFalse("chat_template" in processor_dict_loaded.keys())
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# they have to be saved as separate file and loaded back from that file
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# so we check if the same template is loaded
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processor_dict = self.prepare_processor_dict()
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self.assertTrue(processor_loaded.chat_template == processor_dict.get("chat_template", None))
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def test_can_load_various_tokenizers(self):
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for checkpoint in ["Intel/llava-gemma-2b", "llava-hf/llava-1.5-7b-hf"]:
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processor = LlavaProcessor.from_pretrained(checkpoint)
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