code: def get_dummy_seed_input(self, seed=0):
      torch.manual_seed(seed)
      batch_size = 4
      embedding_dim = 8
      num_embeddings = 7
  
      hidden_states = torch.randn((batch_size, embedding_dim)).to(
          torch_device
      )
  
      proj_embedding = torch.randn((batch_size, embedding_dim)).to(
          torch_device
      )
      encoder_hidden_states = torch.randn(
          (batch_size, num_embeddings, embedding_dim)
      ).to(torch_device)
  
      return {
          "hidden_states": hidden_states,
          "timestep": 2,
          "proj_embedding": proj_embedding,
          "encoder_hidden_states": encoder_hidden_states,
      }
  
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 2 for calling the PriorTransformerTests obj's underlying member method code with example usage: obj.get_dummy_seed_input(seed) and returns: dict