code: def test_inputs_embeds(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          model.to(torch_device)
          model.eval()
  
          inputs = copy.deepcopy(
              self._prepare_for_class(inputs_dict, model_class)
          )
  
          pixel_values = inputs["pixel_values"]
          del inputs["pixel_values"]
  
          wte = model.get_input_embeddings()
          inputs["inputs_embeds"] = wte(pixel_values)
  
          with torch.no_grad():
              model(**inputs)[0]
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import ImageGPTConfig
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 15 for calling the ImageGPTModelTest obj's underlying member method code with example usage: obj.test_inputs_embeds() without return types