code: def testGif(self):
      # Read some real GIFs
      path = os.path.join(prefix_path, "gif", "testdata", "scan.gif")
      width = 20
      height = 40
      stride = 5
      shape = (12, height, width, 3)
  
      with self.session():
          gif0 = io_ops.read_file(path)
          image0 = image_ops.decode_image(gif0)
          image1 = image_ops.decode_gif(gif0)
          gif0, image0, image1 = self.evaluate([gif0, image0, image1])
  
          self.assertEqual(image0.shape, shape)
          self.assertAllEqual(image0, image1)
  
          for frame_idx, frame in enumerate(image0):
              gt = np.zeros(shape[1:], dtype=np.uint8)
              start = frame_idx * stride
              end = (frame_idx + 1) * stride
              if end <= width:
                  gt[:, start:end, :] = 255
              else:
                  start -= width
                  end -= width
                  gt[start:end, :, :] = 255
  
              self.assertAllClose(frame, gt)
  
              with self.assertRaises(errors_impl.InvalidArgumentError):
                  bad_channels = image_ops.decode_image(
                      gif0, channels=1
                  )
                  self.evaluate(bad_channels)
  
file_path: tensorflow/tensorflow/python/kernel_tests/image_ops/decode_image_op_test.py
imports: import os.path
  import numpy
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops import io_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the DecodeImageOpTest obj's underlying member method code with example usage: obj.testGif() without return types