code: def test_get_image_features(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      model = FlaxCLIPModel(config)
  
      @jax.jit
      def model_jitted(pixel_values):
          return model.get_image_features(pixel_values=pixel_values)
  
      with self.subTest("JIT Enabled"):
          jitted_output = model_jitted(inputs_dict["pixel_values"])
  
      with self.subTest("JIT Disabled"):
          with jax.disable_jit():
              output = model_jitted(inputs_dict["pixel_values"])
  
      self.assertEqual(jitted_output.shape, output.shape)
      self.assertTrue(np.allclose(jitted_output, output, atol=1e-3))
  
imports: import inspect
  import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 5 for calling the FlaxCLIPModelTest obj's underlying member method code with example usage: obj.test_get_image_features() and returns: model