text: import os
  from tempfile import gettempdir
  
  import numpy as np
  from PIL import Image
  from torch.utils.tensorboard import SummaryWriter
  
  from clearml import Task
  
  
  # Connecting ClearML with the current process,
  # from here on everything is logged automatically
  task = Task.init(project_name='examples', task_name='pytorch tensorboard toy example')
  
  writer = SummaryWriter(log_dir=os.path.join(gettempdir(), 'tensorboard_logs'))
  
  # convert to 4d [batch, col, row, RGB-channels]
  image_open = Image.open(os.path.join("..", "..", "reporting", "data_samples", "picasso.jpg"))
  image = np.asarray(image_open)
  image_gray = image[:, :, 0][np.newaxis, :, :, np.newaxis]
  image_rgba = np.concatenate((image, 255*np.atleast_3d(np.ones(shape=image.shape[:2], dtype=np.uint8))), axis=2)
  image_rgba = image_rgba[np.newaxis, :, :, :]
  image = image[np.newaxis, :, :, :]
  
  writer.add_image("test/first", image[0], dataformats='HWC')
  writer.add_image("test_gray/second", image_gray[0], dataformats='HWC')
  writer.add_image("test_rgba/third", image_rgba[0], dataformats='HWC')
  # writer.add_image("image/first_series", image, max_outputs=10)
  # writer.add_image("image_gray/second_series", image_gray, max_outputs=10)
  # writer.add_image("image_rgba/third_series", image_rgba, max_outputs=10)
  
  print('Done!')
  