Fixed typos

NEWS.txt

@@ -3,7 +3,7 @@
 Since 0.5rc2
 
  * Fixed a memory leak with shared variable (we kept a pointer to the original value)
- * Alloc, GpuAlloc are not always pre-computed(constant_folding optimization) at compile time if all its inputs are constants
+ * Alloc, GpuAlloc are not always pre-computed (constant_folding optimization) at compile time if all their inputs are constant
  * The keys in our cache now store the hash of constants and not the constant values themselves. This is significantly more efficient for big constant arrays.
  * 'theano-cache list' lists key files bigger than 1M
  * 'theano-cache list' prints an histogram of the number of keys per compiled module

doc/NEWS.txt

@@ -3,6 +3,7 @@
 Since 0.5rc2
 
  * Fixed a memory leak with shared variable (we kept a pointer to the original value)
+ * Alloc, GpuAlloc are not always pre-computed (constant_folding optimization) at compile time if all their inputs are constant
  * The keys in our cache now store the hash of constants and not the constant values themselves. This is significantly more efficient for big constant arrays.
  * 'theano-cache list' lists key files bigger than 1M
  * 'theano-cache list' prints an histogram of the number of keys per compiled module

doc/extending/op.txt

@@ -222,14 +222,14 @@ following methods:
    *Default:* Return True
 
    By default when optimizations are enabled, we remove during
-   function compilation apply node that have all their input
-   constants. We replace the Apply node with a Theano constant
-   variable. This way, the apply node is not executed at each function
+   function compilation Apply nodes whose inputs are all constants.
+   We replace the Apply node with a Theano constant variable.
+   This way, the Apply node is not executed at each function
    call. If you want to force the execution of an op during the
    function call, make do_constant_folding return False.
 
-   As done in the Alloc op, you can return False only in some case by
-   analysing the graph from the node parameter.
+   As done in the Alloc op, you can return False only in some cases by
+   analyzing the graph from the node parameter.
 
 At a bare minimum, a new Op must define ``make_node`` and ``perform``, which
 have no defaults.

theano/gof/op.py

@@ -511,11 +511,11 @@ class PureOp(object):
 
     def do_constant_folding(self, node):
         """
-        This allow each op to dertermine if they want to be constant
-        folded when all there in put are constant. This allow them to
-        choose where they put their memory/speed trade off. Also, it
-        could make thing faster as Constant can't be used for inplace
-        operation(see *IncSubtensor)
+        This allows each op to determine if it wants to be constant
+        folded when all its inputs are constant. This allows it to
+        choose where it puts its memory/speed trade-off. Also, it
+        could make things faster as constants can't be used for inplace
+        operations (see *IncSubtensor).
         """
         return True
 

theano/tensor/opt.py

@@ -3768,7 +3768,7 @@ def constant_folding(node):
             return False
     #condition:  all inputs are constant
     if not node.op.do_constant_folding(node):
-        # The op ask to don't be constant folded.
+        # The op asks not to be constant folded.
         return False
 
     storage_map = dict([(i, [i.data]) for i in node.inputs])