title: Using more than 1 metric in pytorch
body: <p>I have some experience in Tenserflow but I'm new to pytorch. Sometimes I need more than 1 metric to check the accuracy of training. In Tenserflow, I used to do as shown below. But I wonder how could list more than 1 metric in pytorch.</p>
  <pre><code>LR = 0.0001
  optim = keras.optimizers.Adam(LR)
  
  dice_loss_se2 = sm.losses.DiceLoss()
  mae = tf.keras.losses.MeanAbsoluteError( )
  metrics = [ mae,sm.metrics.IOUScore(threshold=0.5), sm.metrics.FScore(threshold=0.5) , dice_loss_se2]
  
  model.compile(optimizer=optim,loss= dice_loss_se2,metrics= metrics)
  </code></pre>