code: def test_summarywriter_2dimage_scaled(self):
      log_dir = tempfile.mkdtemp()
      summary_writer = SummaryWriter(log_dir=log_dir)
      img = np.random.uniform(low=0.0, high=255.0, size=(30, 30))
      img = img.astype(np.uint8)
      summary_writer.image(tag="2dimage_test", image=img, step=1)
      summary_value = self.parse_and_return_summary_value(path=log_dir)
  
      self.assertEqual(summary_value.tag, "2dimage_test")
      actual_img = tf.image.decode_image(
          summary_value.tensor.string_val[2]
      )
      # assert the image was increased in dimension
      self.assertEqual(actual_img.shape, (30, 30, 3))
  
imports: import itertools
  import pathlib
  import tempfile
  import numpy
  import tensorflow
  from absl.testing import absltest
  from tensorboard.backend.event_processing import directory_watcher, event_file_loader
  from tensorboard.util import tensor_util
  from flax.metrics.tensorboard import SummaryWriter, _flatten_dict
label_desc: Use image node_id 7 for calling the TensorboardTest obj's underlying member method code with example usage: obj.test_summarywriter_2dimage_scaled() without return types