Add filter_variable (which was not present for unknown reasons).

theano/sandbox/gpuarray/type.py

@@ -63,6 +63,32 @@ class GpuArrayType(Type):
                                 " dimension.", shp, self.broadcastable)
         return data
 
+    def filter_variable(self, other):
+        if hasattr(other, '_as_GpuArrayVariable'):
+            other = other._as_GpuArrayVariable()
+
+        if not isinstance(other, Variable):
+            other = self.Constant(type=self, data=other)
+
+        if other.type == self:
+            return other
+
+        if not isinstance(other.type, tensor.TensorType):
+            raise TypeError('Incompatible type', (self, other.type))
+        if (other.type.dtype != self.dtype):
+            raise TypeError('Incompatible dtype', (self.dtype,
+                                                   other.type.dtype))
+        if other.type.ndim != self.ndim:
+            raise TypeError('Incompatible number of dimensions.'
+                            ' Expected %d, got %d.' % (self.ndim, other.ndim))
+        if other.type.broadcastable != self.broadcastable:
+            raise TypeError('Incompatible broadcastable dimensions.'
+                            ' Expected %s, got %s.' %
+                            (str(other.type.broadcastable),
+                             str(self.broadcastable)))
+
+        return theano.sandbox.gpuarray.basic_ops.gpu_from_host(other)
+
     @staticmethod
     def values_eq(a, b):
         if a.shape != b.shape: