code: def dummy_image_encoder(self):
      torch.manual_seed(0)
      config = CLIPVisionConfig(
          hidden_size=self.text_embedder_hidden_size,
          image_size=224,
          projection_dim=self.text_embedder_hidden_size,
          intermediate_size=37,
          num_attention_heads=4,
          num_channels=3,
          num_hidden_layers=5,
          patch_size=14,
      )
  
      model = CLIPVisionModelWithProjection(config)
      return model
  
imports: import inspect
  import unittest
  import numpy
  import torch
  from torch import nn
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import KandinskyV22PriorPipeline, PriorTransformer, UnCLIPScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 9 for calling the Dummies obj's underlying member method code with example usage: obj.dummy_image_encoder() and returns: model