Resolve complicated chat templates during tokenizer saving (#1151)

* resolve complicated chat templates during tokenizer saving

* Apply suggestions from code review

* improve template selection logic and add tests

* add updated deepseek template

* Update tests/openvino/test_exporters_cli.py

* deepseek llama

* add comparing templated strings

* fix space for minicpm3 template

* Update optimum/exporters/openvino/convert.py

Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

---------

Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

Author: eaidova

optimum/exporters/openvino/__main__.py

@@ -22,7 +22,7 @@
 
 from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE
 from requests.exceptions import ConnectionError as RequestsConnectionError
-from transformers import AutoConfig, AutoTokenizer, PreTrainedTokenizerBase
+from transformers import AutoConfig, AutoTokenizer, PreTrainedTokenizerBase, ProcessorMixin
 from transformers.utils import is_torch_available
 
 from openvino.runtime import Core, Type, save_model
@@ -531,10 +531,15 @@ def maybe_convert_tokenizers(library_name: str, output: Path, model=None, prepro
 
     if is_openvino_tokenizers_available():
         if library_name != "diffusers" and preprocessors:
+            processor_chat_template = None
             tokenizer = next(filter(lambda it: isinstance(it, PreTrainedTokenizerBase), preprocessors), None)
+            if len(preprocessors) > 1:
+                for processor in preprocessors:
+                    if isinstance(processor, ProcessorMixin) and hasattr(processor, "chat_template"):
+                        processor_chat_template = processor.chat_template
             if tokenizer:
                 try:
-                    export_tokenizer(tokenizer, output, task=task)
+                    export_tokenizer(tokenizer, output, task=task, processor_chat_template=processor_chat_template)
                 except Exception as exception:
                     logger.warning(
                         "Could not load tokenizer using specified model ID or path. OpenVINO tokenizer/detokenizer "

optimum/exporters/openvino/convert.py

@@ -71,6 +71,7 @@
     remove_none_from_dummy_inputs,
     save_config,
     save_preprocessors,
+    set_simplified_chat_template,
 )
 
 
@@ -825,6 +826,7 @@ def export_tokenizer(
     output: Union[str, Path],
     suffix: Optional[str] = "",
     task: Optional[str] = None,
+    processor_chat_template: Optional[str] = None,
 ):
     # avoid circular imports
     from optimum.intel.openvino import OV_DETOKENIZER_NAME, OV_TOKENIZER_NAME
@@ -849,7 +851,7 @@ def export_tokenizer(
 
     if (
         task is not None
-        and task.startswith("text-generation")
+        and (task.startswith("text-generation") or task == "image-text-to-text")
         and compare_versions("openvino-tokenizers", ">=", "2024.3.0.0")
     ):
         logger.info(f"Set tokenizer padding side to left for `{task}` task.")
@@ -858,6 +860,8 @@ def export_tokenizer(
 
     try:
         converted = convert_tokenizer(tokenizer, with_detokenizer=True)
+        set_simplified_chat_template(converted[0], processor_chat_template)
+
     except NotImplementedError:
         logger.info("Detokenizer is not supported, convert tokenizer only.")
         converted = convert_tokenizer(tokenizer, with_detokenizer=False)