Register the new type with OutputGuard and DeepCopy.

theano/sandbox/gpuarray/type.py

@@ -14,6 +14,7 @@ try:
 except ImportError:
     pass
 
+
 class GpuArrayType(Type):
     def __init__(self, dtype, broadcastable, name=None):
         # In case this was not provided and no global value is available
@@ -220,3 +221,24 @@ def gpuarray_shared_constructor(value, name=None, strict=False,
     deviceval = pygpu.gpuarray.array(value, copy=(not borrow))
     return GpuArraySharedVariable(type=type, value=deviceval, name=name,
                                   strict=strict)
+
+
+theano.compile.mode.register_OutputGuard_c_code(GpuArrayType)
+
+
+theano.compile.function_module.register_DeepCopyOp_c_code(GpuArrayType, """
+    Py_XDECREF(%(oname)s);
+    %(oname)s = new_GpuArray(GpuArrayType, GpuArray_default_context);
+    if (!%(oname)s) { %(fail)s }
+    int err;
+    err = GpuArray_empty(&%(oname)s.ga, %(oname)s->context->ops);
+    if (err != GA_NO_ERROR) {
+        PyErr_SetString(PyExc_MemoryError, "Could not allocate new array");
+        %(fail)s
+    }
+    err = GpuArray_copy(&%(oname)s.ga, &%(iname)s.ga, GA_ANY_ORDER);
+    if (err != GA_NO_ERROR) {
+        PyErr_SetString(PyExc_RuntimeError, "Error during copy");
+        %(fail)s
+    }
+    """)