code: def test_image_generation_with_input_constraints():
      test_utils.register_model(
          "dcgan_fashiongen", "dcgan_fashiongen.mar"
      )
      input_json = {
          "number_of_images": 64,
          "input_gender": "Men",
          "input_category": "SHIRTS",
          "input_pose": "id_gridfs_1",
      }
      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 530 x 530, it contains 64 images
      assert response.status_code == 200, "Image generation failed"
      assert (
          img.get_format_mimetype() == "image/jpeg"
      ), "Generated image is not a jpeg"
      assert img.size == (
          530,
          530,
      ), "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 8 for calling a global function with example usage: test_image_generation_with_input_constraints() without return types