code: def test_image_generation_without_any_input_constraints():
      test_utils.register_model(
          "dcgan_fashiongen", "dcgan_fashiongen.mar"
      )
      input_json = {}
      response = requests.post(
          url="http://localhost:8080/predictions/dcgan_fashiongen",
          json=input_json,
      )
      fp = BytesIO(response.content)
      img = Image.open(fp)
      # Expect a jpeg of dimension 64 x 64, it contains only 1 image by default
      assert response.status_code == 200, "Image generation failed"
      assert (
          img.get_format_mimetype() == "image/jpeg"
      ), "Generated image is not a jpeg"
      assert img.size == (
          64,
          64,
      ), "Generated image is not of correct dimensions"
      test_utils.unregister_model("dcgan_fashiongen")
  
file_path: serve/test/pytest/test_example_dcgan.py
imports: import os
  import subprocess
  import requests
  import test_utils
  from shutil import copy
  from PIL import Image
  from io import BytesIO
label_desc: Use image node_id 7 for calling a global function with example usage: test_image_generation_without_any_input_constraints() without return types