↓ 1 callersFunctionmodel_generation(
prompts,
all_images,
all_image_paths,
tokenizer,
model,
accelerator,
image_size,
vision/m4/evaluation/generation/generate.py:74
↓ 1 callersMethodoverride_vision_model_wrapper(cls, model, config, vision_model_name, vision_model_params, torch_dtype)
vision/m4/models/vgpt2/modeling_vgpt2.py:593
↓ 1 callersMethodprepare_dataset Prepare batch of examples. Each example (X, y) where y is among (y1, y2, ..., yN) - the labels options - is turned into [(X,
vision/m4/models/vgpt2/evaluation_classification_in_context_vgpt2.py:95