Add Sphinx documentation and image to illustrate sparse block dot

doc/library/sandbox/blocksparse.txt

+.. _libdoc_blocksparse:
+
+===================================================================
+:mod:`sandbox.blocksparse` --  Block sparse dot operations (gemv and outer)
+===================================================================
+
+.. module:: sandbox.blocksparse
+   :platform: Unix, Windows
+   :synopsis: Block sparse dot
+.. moduleauthor:: LISA
+
+API
+===
+
+.. automodule:: theano.sandbox.blocksparse
+    :members:

theano/sandbox/blocksparse.py

@@ -17,7 +17,9 @@ class SparseBlockGemv(Op):
                     o[b, j, :] += numpy.dot(h[b, i], W[iIdx[b, i], oIdx[b, j]])
 
     where b, h, W, o iIdx, oIdx are defined in the docstring of make_node.
+
     .. image:: ../../images/blocksparse.png
+        :scale: 50 %
     """
 
     registered_opts = []
@@ -119,7 +121,6 @@ class SparseBlockOuter(Op):
 
     def make_node(self, o, x, y, xIdx, yIdx, alpha=None):
         """
-
         Compute the dot product of the specified pieces of vectors
         and matrices.
 

theano/sandbox/tests/test_blocksparse.py

@@ -303,7 +303,8 @@ class BlockSparse_Gemv_and_Outer(unittest.TestCase):
 
         out = self.outer_op(o, x, y, xIdx, yIdx)
 
-        f = theano.function([o, x, y, xIdx, yIdx], out, on_unused_input="warn")
+        f = theano.function([o, x, y, xIdx, yIdx], out,
+                            on_unused_input="warn")
 
         o_val, x_val, y_val, xIdx_val, yIdx_val = \
             BlockSparse_Gemv_and_Outer.outer_data()