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Support textonly inference for LLaVA-OneVision. #215

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Aug 28, 2024
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4 changes: 4 additions & 0 deletions lmms_eval/models/llava_onevision.py
Original file line number Diff line number Diff line change
Expand Up @@ -453,6 +453,10 @@ def _collate(x):
if len(visual) > 1 or "image_aspect_ratio" not in self._config.__dict__: # for multi image case, we treat per image aspect ratio as "pad" by default.
self._config.image_aspect_ratio = getattr(gen_kwargs, "image_aspect_ratio", "pad")
eval_logger.info(f"Setting image aspect ratio: {self._config.image_aspect_ratio}")

if len(visual) == 0: # For textonly task
image_tensor = None
task_type = 'textonly'

if type(visual[0]) == PIL.Image.Image and "task_type" not in metadata and "sample_frames" not in metadata: # For image task
image_tensor = process_images(visual, self._image_processor, self._config)
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