Fix doc syntax to remove doc generation warning.

doc/library/sparse/index.txt

@@ -194,16 +194,19 @@ List of Implemented Operations
 - Dot Product
     - :class:`Dot <theano.sparse.basic.Dot>` and
       :func:`dot <theano.sparse.basic.dot>`.
+
         - The grad implemented is regular.
         - No C code for perform and no C code for grad.
         - Return a dense for perform and a dense for grad.
     - :class:`StructuredDot <theano.sparse.basic.StructuredDot>`
       and :func:`structured_dot <theano.sparse.basic.structured_dot>`.
+
         - The grad implemented is structured.
         - C code for perform and grad.
         - Return a dense for perforn and a sparse for grad.
     - :class:`TrueDot <theano.sparse.basic.TrueDot>` and
       :func:`true_dot <theano.sparse.basic.true_dot>`.
+
         - The grad implemented is regular.
         - No C code for perform and no C code for grad.
         - Return a Sparse for perform and a Sparse for grad.
@@ -211,11 +214,13 @@ List of Implemented Operations
           grad to be dense if the second input of the op is dense.
     - :class:`SamplingDot <theano.sparse.basic.SamplingDot>` and
       ``sampling_dot``.
+
         - The grad implemented is structured for `p`.
         - Sample of the dot and sample of the gradient.
         - C code for perform but not for grad.
         - Return sparse for perform and grad.
     - :class:`Usmm <theano.sparse.basic.Usmm>` and ``usmm``.
+
         - This op is the equivalent of gemm for sparse dot.
         - There is no grad implemented for this op.
         - There is optimization that transform a

theano/sandbox/neighbours.py

@@ -416,13 +416,21 @@ def images2neibs(ten4, neib_shape, neib_step=None, mode='valid'):
                           columns. When None, this is the same as
                           neib_shape(patch are disjoint)
         :type neib_step: A 1d tensor-like of 2 values.
-        :param mode: Possible values:
-            'valid': Requires an input that is a multiple of the
+        :param mode:
+            Possible values:
+
+            ``valid``
+               Requires an input that is a multiple of the
                pooling factor (in each direction)
-            'ignore_borders': Same as valid, but will ignore the borders
+
+            ``ignore_borders``
+               Same as valid, but will ignore the borders
                if the shape(s) of the input
                is not a multiple of the pooling factor(s)
-            'wrap_centered' : ?? TODO comment
+
+            ``wrap_centered``
+               ?? TODO comment
+
         :type mode: str
         :return:
             Reshapes the input as a 2D tensor where each row is an