Small doc fix

doc/library/gpuarray/dnn.txt

 .. _libdoc_gpuarray_dnn:
 
 ===========================================
-:mod:`gpuarray.dnn` -- cuDNN
+:mod:`theano.gpuarray.dnn` -- cuDNN
 ===========================================
 
 .. moduleauthor:: LISA
@@ -173,7 +173,7 @@ Batch Normalization
 RNN
 ===
 
-New back-end only! Without dropout support.
+Without dropout support.
 
 .. automodule:: theano.gpuarray.dnn
    :noindex:

doc/library/sandbox/cuda/dnn.txt

 .. _libdoc_cuda_dnn:
 
-================================
-:mod:`sandbox.cuda.dnn` -- cuDNN
-================================
+=======================================
+:mod:`theano.sandbox.cuda.dnn` -- cuDNN
+=======================================
 
 .. moduleauthor:: LISA
 
@@ -192,8 +192,8 @@ RNN
 Softmax
 =======
 
-You can manually use the op `GpuDnnSoftmax
-<theano.sandbox.cuda.dnn.GpuDnnSoftmax>`_ to use its extra feature.
+You can manually use the op :class:`GpuDnnSoftmax
+<theano.sandbox.cuda.dnn.GpuDnnSoftmax>` to use its extra feature.
 
 .. _libdoc_cuda_dnn_internal_ops:
 

theano/gpuarray/dnn.py

@@ -2339,12 +2339,13 @@ class GpuDnnRNNGradWeights(DnnBase):
 class RNNBlock(object):
     """
     An object that allow us to use CuDNN v5 RNN implementation.
-    TODO: make an example how to use. You can check that test until we have it.
+    TODO: make an example how to use. You can check Theano tests
+    test_dnn_rnn_gru() and test_dnn_rnn_lstm() in the file
+    theano/gpuarray/tests/test_dnn.py for now.
 
 
     Parameters
     ----------
-
     dtype : data type of computation
     hidden_size : int
     num_layers : int