Merge pull request #7 from delallea/fix_assert_import

theano/compile/mode.py

@@ -105,20 +105,20 @@ def register_OutputGuard_c_code(type):
 
 class OutputGuard(gof.Op):
     """
-    This op is used only internaly by Theano.
+    This op is used only internally by Theano.
 
     Only the AddDestroyHandler optimizer tries to insert them in the graph.
 
-    This Op is declared as destructive while is not destroying
+    This Op is declared as destructive while it is not destroying
     anything. It returns a view. This is used to prevent destruction of
-    the output variable of a Theano function.
+    the output variables of a Theano function.
 
-    There is mechanism in Theano that should prevent this, but the use
-    of OutputGuard add a safe guard. Maybe it is currently possible
-    that optimization run before the add_destroy_handler phase that
-    make some inplace optimization bypass this mechanism?
+    There is a mechanism in Theano that should prevent this, but the use
+    of OutputGuard adds a safeguard: it may be possible for some optimization
+    run before the add_destroy_handler phase to bypass this mechanism, by
+    making in-place optimizations.
 
-    TODO: find a current full explaination.
+    TODO: find a current full explanation.
     """
     destroy_map = {0:[0]}
     view_map = {0:[0]}

theano/sandbox/cuda/type.py

@@ -352,8 +352,8 @@ class CudaNdarrayType(Type):
         return ret
 
 
-# Register CudaNdarrayType to the OutputGuard list of know type
-# to have OutputGuard generate c code for this type
+# Register CudaNdarrayType to the OutputGuard list of known types
+# to have OutputGuard generate C code for this type.
 theano.compile.mode.register_OutputGuard_c_code(CudaNdarrayType)
 
 

theano/sparse/basic.py

@@ -326,8 +326,8 @@ class SparseType(gof.Type):
     def is_valid_value(self, a):
         return scipy.sparse.issparse(a) and (a.format == self.format)
 
-# Register CudaNdarrayType to the OutputGuard list of know type
-# to have OutputGuard generate c code for this type
+# Register CudaNdarrayType to the OutputGuard list of known types
+# to have OutputGuard generate C code for this type.
 theano.compile.mode.register_OutputGuard_c_code(SparseType)
 
 

theano/tensor/basic.py

@@ -910,8 +910,8 @@ class TensorType(Type):
         else:
             return ()
 
-# Register CudaNdarrayType to the OutputGuard list of know type
-# to have OutputGuard generate c code for this type
+# Register CudaNdarrayType to the OutputGuard list of known types
+# to have OutputGuard generate C code for this type.
 theano.compile.mode.register_OutputGuard_c_code(TensorType)
 
 # Easy constructors
@@ -3467,8 +3467,8 @@ class Subtensor(Op):
 
     def c_code_cache_version(self):
         hv = self.helper_c_code_cache_version()
-        # If the helper_c_code_cache_version is not versionned
-        # We don't want to have a versioned version of this op c code
+        # If `helper_c_code_cache_version` is not versioned we do not want to
+        # have a versioned version of this op's C code.
         if len(hv) == 0:
             return ()
         return (1, hv)

theano/tensor/raw_random.py

@@ -53,8 +53,8 @@ class RandomStateType(gof.Type):
                 return False
         return True
 
-# Register CudaNdarrayType to the OutputGuard list of know type
-# to have OutputGuard generate c code for this type
+# Register CudaNdarrayType to the OutputGuard list of known types
+# to have OutputGuard generate C code for this type.
 theano.compile.mode.register_OutputGuard_c_code(RandomStateType)
 
 random_state_type = RandomStateType()