code: def prepare_init_args_and_inputs_for_common(self):
      init_dict = {
          "num_attention_heads": 2,
          "attention_head_dim": 4,
          "num_layers": 2,
          "embedding_dim": 8,
          "num_embeddings": 7,
          "additional_embeddings": 4,
      }
      inputs_dict = self.dummy_input
      return init_dict, inputs_dict
  
imports: import gc
  import inspect
  import unittest
  import torch
  from parameterized import parameterized
  from diffusers import PriorTransformer
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, slow, torch_all_close, torch_device
  from .test_modeling_common import ModelTesterMixin
label_desc: Use image node_id 5 for calling the PriorTransformerTests obj's underlying member method code with example usage: obj.prepare_init_args_and_inputs_for_common() and returns: init_dict,  inputs_dict