refactor data preprocessing, fix mllm rlhf

src/llamafactory/data/processors/mm_utils.py

@@ -0,0 +1,27 @@
+from typing import TYPE_CHECKING, List, Sequence
+
+from ...extras.packages import is_pillow_available
+
+
+if is_pillow_available():
+    from PIL import Image
+
+
+if TYPE_CHECKING:
+    from numpy.typing import NDArray
+    from PIL.Image import Image as ImageObject
+    from transformers import ProcessorMixin
+    from transformers.image_processing_utils import BaseImageProcessor
+
+
+def get_pixel_values(images: Sequence["ImageObject"], processor: "ProcessorMixin") -> "NDArray":
+    # process visual inputs (currently only supports a single image)
+    image_processor: "BaseImageProcessor" = getattr(processor, "image_processor")
+    image = images[0] if len(images) != 0 else Image.new("RGB", (100, 100), (255, 255, 255))
+    return image_processor(image, return_tensors="pt")["pixel_values"][0]  # shape (C, H, W)
+
+
+def get_paligemma_token_type_ids(input_len: int, processor: "ProcessorMixin") -> List[int]:
+    # get paligemma token type ids for computing loss
+    image_seq_length = getattr(processor, "image_seq_length")
+    return [0] * image_seq_length + [1] * (input_len - image_seq_length)