code: def dummy_prior(self):
      torch.manual_seed(0)
  
      model_kwargs = {
          "num_attention_heads": 2,
          "attention_head_dim": 16,
          "embedding_dim": self.time_input_dim,
          "num_embeddings": 32,
          "embedding_proj_dim": self.text_embedder_hidden_size,
          "time_embed_dim": self.time_embed_dim,
          "num_layers": 1,
          "clip_embed_dim": self.time_input_dim * 2,
          "additional_embeddings": 0,
          "time_embed_act_fn": "gelu",
          "norm_in_type": "layer",
          "encoder_hid_proj_type": None,
          "added_emb_type": None,
      }
  
      model = PriorTransformer(**model_kwargs)
      return model
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
  from diffusers.pipelines.shap_e import ShapERenderer
  from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 7 for calling the ShapEPipelineFastTests obj's underlying member method code with example usage: obj.dummy_prior() and returns: model