Adding autoencoder wrapper data provider.

mlp/data_providers.py

@@ -332,3 +332,14 @@ class AugmentedMNISTDataProvider(MNISTDataProvider):
             AugmentedMNISTDataProvider, self).next()
         transformed_inputs_batch = self.transformer(inputs_batch, self.rng)
         return transformed_inputs_batch, targets_batch
+
+
+class MNISTAutoencoderDataProvider(MNISTDataProvider):
+    """Simple wrapper data provider for training an autoencoder on MNIST."""
+
+    def next(self):
+        """Returns next data batch or raises `StopIteration` if at end."""
+        inputs_batch, targets_batch = super(
+            MNISTAutoencoderDataProvider, self).next()
+        # return inputs as targets for autoencoder training
+        return inputs_batch, inputs_batch