message: Add a 'loss' summary to the example
diff: @@ -62,6 +62,7 @@ def my_model(features, labels, mode):
  with tf.device("cpu"):
  if loss is not None:
  tf.contrib.ipu.ops.ipu_compile_summary('ipu_comp', loss)
  + tf.summary.scalar('loss', loss)
  return tf.estimator.EstimatorSpec(mode=mode, predictions=pred, loss=loss,
  train_op=train)
  