Adds brief docstrings

monai/utils/enums.py

@@ -706,6 +706,20 @@ class AlgoKeys(StrEnum):
 
 
 class AdversarialKeys(StrEnum):
+    """
+    Keys used by the AdversarialTrainer.
+    `REALS` are real images from the batch.
+    `FAKES` are fake images generated by the generator. Are the same as PRED.
+    `REAL_LOGITS` are logits of the discriminator for the real images.
+    `FAKE_LOGIT` are logits of the discriminator for the fake images.
+    `RECONSTRUCTION_LOSS` is the loss value computed by the reconstruction loss function.
+    `GENERATOR_LOSS` is the loss value computed by the generator loss function. It is the
+                discriminator loss for the fake images. That is backpropagated through the generator only.
+    `DISCRIMINATOR_LOSS` is the loss value computed by the discriminator loss function. It is the
+                discriminator loss for the real images and the fake images. That is backpropagated through the
+                discriminator only.
+    """
+
     REALS = "reals"
     REAL_LOGITS = "real_logits"
     FAKES = "fakes"
@@ -716,6 +730,10 @@ class AdversarialKeys(StrEnum):
 
 
 class AdversarialIterationEvents(EventEnum):
+    """
+    Keys used to define events as used in the AdversarialTrainer.
+    """
+
     RECONSTRUCTION_LOSS_COMPLETED = "reconstruction_loss_completed"
     GENERATOR_FORWARD_COMPLETED = "generator_forward_completed"
     GENERATOR_DISCRIMINATOR_FORWARD_COMPLETED = "generator_discriminator_forward_completed"