he segfault bug into conv and revert the test to its state before change.

theano/sandbox/cuda/blas.py

@@ -203,7 +203,7 @@ class GpuConv(Op):
         return ['cuda_ndarray.cuh','<stdio.h>']
 
     def c_code_cache_version(self):
-        return (0,4)
+        return (0,5)
 
     def c_support_code_apply(self, node, nodename):
         return open(os.path.join(os.path.split(__file__)[0],'conv_kernel.cu')).read()+\

theano/sandbox/cuda/conv.cu

@@ -307,7 +307,7 @@ CudaNdarray_conv_valid(const CudaNdarray *img, const CudaNdarray * kern,
 
 #define CONV_ROWS_STACK_SPECIAL(kern_wid) \
 	if(!img_contiguous_2d || !kern_contiguous_2d) f = conv_rows_stack<kern_wid, false>;\
-	else f = conv_rows_stack<kern_wid, true>;\
+	else f = conv_rows_stack<kern_wid, true>;
 	CONV_ROWS_STACK_SPECIAL(THEANO_KERN_WID);
 
 	f<<< grid, threads, shared_size >>>
@@ -379,7 +379,8 @@ CudaNdarray_conv_valid(const CudaNdarray *img, const CudaNdarray * kern,
 	if((!img_contiguous_2d || !kern_contiguous_2d)&&version==9) f = conv_rows_stack2<kern_wid, false,true>;\
 	else if(version==9) f = conv_rows_stack2<kern_wid, true,true>;\
 	else if(!img_contiguous_2d || !kern_contiguous_2d) f = conv_rows_stack2<kern_wid, false, false>;\
-	else f = conv_rows_stack2<kern_wid, true, false>;\
+	else f = conv_rows_stack2<kern_wid, true, false>;
+
 	CONV_ROWS_STACK2_SPECIAL(THEANO_KERN_WID);
 
 	f<<< grid, threads, shared_size >>>

theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py

@@ -225,7 +225,6 @@ def get_shapes2(scales_img=(1,1), scales_kern=(1,1), subsample=(1,1), img_stride
     return shapes
 
 def test_valid():
-    raise Exception('One of the modes here causes a segmentation fault!')
     #          img shape,     kern shape, subsample shape
 
     shapes = get_basic_shapes()