Make sure to properly hide the tensro C implementations.

theano/sandbox/gpuarray/basic_ops.py

@@ -28,6 +28,31 @@ def as_gpuarray_variable(x):
 def as_gpuarray(x):
     return gpuarray.array(x, copy=False)
 
+class HideC(object):
+    def __hide(*args):
+        raise MethodNotDefined()
+
+    c_code = __hide
+    c_code_cleanup = __hide
+
+    c_headers = __hide
+    c_header_dirs = __hide
+    c_libraries = __hide
+    c_lib_dirs = __hide
+
+    c_support_code = __hide
+    c_support_code_apply = __hide
+
+    c_compile_args = __hide
+    c_no_compile_args = __hide
+    c_init_code = __hide
+
+    def c_code_cache_version(self):
+        return ()
+
+    def c_code_cache_version_apply(self, node):
+        return self.c_code_cache_version()
+
 
 class HostFromGpu(Op):
     def __eq__(self, other):

theano/sandbox/gpuarray/elemwise.py

@@ -12,7 +12,7 @@ try:
 except ImportError:
     pass
 
-from theano.sandbox.gpuarray.basic_ops import as_gpuarray_variable
+from theano.sandbox.gpuarray.basic_ops import as_gpuarray_variable, HideC
 from theano.sandbox.gpuarray.type import GpuArrayType
 
 from theano.gof.utils import MethodNotDefined
@@ -42,7 +42,7 @@ def as_C_string_const(s):
     return '\n'.join('"%s\\n"' % (l.replace('"', '\\"'))
                      for l in s.split('\n'))
 
-class GpuElemwise(Elemwise):
+class GpuElemwise(HideC, Elemwise):
     nin = property(lambda self: self.scalar_op.nin)
     nout = property(lambda self: self.scalar_op.nout)
 
@@ -138,15 +138,6 @@ class GpuElemwise(Elemwise):
         res.append("static const gpukernel *%s_c_k = NULL;" % (nodename,))
         return '\n'.join(res)
 
-    def hide(self, *args):
-        raise MethodNotDefined()
-
-    c_headers = hide
-    c_support_code = hide
-    c_support_code_apply = hide
-    c_code_cache_version_apply = hide
-    c_code = hide
-
     def perform(self, node, inputs, output_storage):
         # Try to reuse the kernel from a previous call to hopefully
         # avoid recompiling
@@ -180,7 +171,7 @@ class SupportCodeError(Exception):
     """
 
 
-class GpuDimShuffle(DimShuffle):
+class GpuDimShuffle(HideC, DimShuffle):
     def make_node(self, input):
         res = DimShuffle.make_node(self, input)
         otype = GpuArrayType(dtype=res.outputs[0].type.dtype,

theano/sandbox/gpuarray/subtensor.py

@@ -12,10 +12,10 @@ try:
 except ImportError:
     pass
 
-from type import GpuArrayType
-from basic_ops import as_gpuarray_variable
+from theano.sandbox.gpuarray.type import GpuArrayType
+from theano.sandbox.gpuarray.basic_ops import as_gpuarray_variable, HideC
 
-class GpuSubtensor(Subtensor):
+class GpuSubtensor(HideC, Subtensor):
     def make_node(self, x, *inputs):
         rval = tensor.Subtensor.make_node(self, x, *inputs)
         otype = GpuArrayType(dtype=rval.outputs[0].type.dtype,