Add LLaVa NeXT Video (#31252)

* squash into single commit

* run diff once more

* docstring

* tests

* minor chnages and ready to go

* Update src/transformers/models/llava_next_video/processing_llava_next_video.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vipllava/test_modeling_vipllava.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [run-slow] llava-next-video

* [run-slow] llava-next-video

* [run-slow] llava_next_video

* fix two tests

* fix slow tests

* remove logit checks due to numeric errors

* run test once more

* [run-slow] llava_next_video

* final try to pass the test

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* style

* fix

* style

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/video_llava/test_modeling_video_llava.py

@@ -223,6 +223,14 @@ class VideoLlavaForConditionalGenerationModelTest(ModelTesterMixin, GenerationTe
     def test_training_gradient_checkpointing_use_reentrant_false(self):
         pass
 
+    @unittest.skip(reason="Pass because video-LLava requires `attention_mask is not None`")
+    def test_sdpa_can_compile_dynamic(self):
+        pass
+
+    @unittest.skip(reason="Pass because video-LLava requires `attention_mask is not None`")
+    def test_sdpa_can_dispatch_on_flash(self):
+        pass
+
     def test_mixed_input(self):
         config, inputs = self.model_tester.prepare_config_and_inputs_for_common()
         for model_class in self.all_model_classes: