(path)

(model_name, operation_path, window)

(values, coef_val, only_knockout_question, question_range)

(data, operation_path, model_name, y="relative diff first", palette=None, save_fold=None)

(data, save_file, operation_path, model_name, y="relative diff first", layer_num=None, palette=None, save_fold

(name, E)

(des, dataset_dict, question_id, input_ids, inputs_embeds_shape, tokenizer, model_name)

(questions, image_folder, batch_size, num_workers, tokenizer, image_processor, model_config, task_name, conv_m

(name, position_hs, patch_input)

(model, inps, tokenizer, model_name, mask_tensor=None, args=None)

(args)

(des, input_ids, inputs_embeds_shape, central_object_patch_indices, pad_patch_indices, hd_patch_indice, object

(data_loader, questions, model, tokenizer, dataset_dict, model_name)

(image, bboxes)

(tokenizer, token_array)

(data, save_file,x="layer",y="score_all_objects",hue=None, layers=0)

(data, save_file, x="layer", ys="", layer_num=0)

(abs_pos, tgt_size)

(args)

(model, inp)

(hooks)

(model, hooks)

(model, inps, tokenizer, model_name)

(model)

(requires_grad, *models)

( model, inp, from_to_index_per_layer, # A list of (source index, target index) to

(forward_fn, model_, from_to_index_, opposite_, block_desc_)

(self, index)

( self, model_name=None, model=None, tokenizer=None, low_cpu_mem_usage=False,

(self, questions, image_folder, tokenizer, image_processor, model_config, task_name, conv_mode)

(self)

(tensor, model)

(tensor, num_heads, attn_head_size)

(batch)

(self, x, attn_mask=None)

( self, mask=None, #[5, 3, 336, 336] args=None, inputs: Optional[torch.Tensor] = None,

(module, input, output)

(module, input, output)

(module, input)

(self, images, image_sizes=None)

(model, values_per_layer, coef_value=0, only_knockout_question=None, question_range=[])

(model, values_per_layer, coef_value=0)

(model, values_per_layer, coef_value=0,only_knockout_question=None, question_range=[])

(model, hs_patch_config, patch_input=False)

(image, bounding_boxes, model_name, save_name, question, answer)

(mask, img, ind, model_name, save_name)

(model, inp)

(*args, **kwargs)