testcode for doc/extending/graphstructures.txt

doc/extending/graphstructures.txt

@@ -18,10 +18,12 @@ should help you understand how these pieces fit together:
 
 **Code**
 
-.. code-block:: python
+.. testcode::
 
-    x = dmatrix('x')
-    y = dmatrix('y')
+    import theano.tensor as T
+    
+    x = T.dmatrix('x')
+    y = T.dmatrix('y')
     z = x + y
 
 **Diagram**
@@ -72,7 +74,7 @@ This is what you would normally type:
 .. If you modify this code, also change :
 .. theano/tests/test_tutorial.py:T_graphstructures.test_graphstructures_1
 
-.. code-block:: python
+.. testcode::
 
     # create 3 Variables with owner = None
     x = T.matrix('x')
@@ -91,7 +93,7 @@ This is what you would type to build the graph explicitly:
 .. If you modify this code, also change :
 .. theano/tests/test_tutorial.py:T_graphstructures.test_graphstructures_1
 
-.. code-block:: python
+.. testcode::
 
     from theano.tensor import add, mul, Apply, Variable, TensorType
 
@@ -153,13 +155,13 @@ All nodes in the graph must be instances of ``Apply`` or ``Result``, but
 constraints. For example, the :func:`tensor.add`
 Op instance is written so that:
 
-.. code-block:: python
+.. testcode::
 
-    e = dscalar('x') + 1
+    e = T.dscalar('x') + 1
 
 builds the following graph:
 
-.. code-block:: python
+.. testcode::
 
     node = Apply(op = add,
                  inputs = [Variable(type = dscalar, name = 'x'),
@@ -311,6 +313,7 @@ Theano. The symbolic inputs that you operate on are Variables and what
 you get from applying various Ops to these inputs are also
 Variables. For example, when I type
 
+>>> import theano
 >>> x = theano.tensor.ivector()
 >>> y = -x
 
@@ -399,7 +402,7 @@ In both types of pairs, the second element of the tuple is an index,
 such that: ``var.clients[*][0].inputs[index]`` or
 ``fgraph.outputs[index]`` is that variable.
 
-.. code-block:: python
+.. testcode::
 
     import theano
     v = theano.tensor.vector()
@@ -427,3 +430,11 @@ such that: ``var.clients[*][0].inputs[index]`` or
     client
     # ('output', 0)
     assert f.maker.fgraph.outputs[client[1]] is var
+
+.. testoutput::
+
+    Sum{acc_dtype=float64} [@A] ''   1
+     |Elemwise{add,no_inplace} [@B] ''   0
+       |TensorConstant{(1,) of 1.0} [@C]
+       |<TensorType(float64, vector)> [@D]
+   
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