diff --git a/cpp/nvtabular/inference/categorify.cc b/cpp/nvtabular/inference/categorify.cc
index e9b50c0cdd..603a39e33b 100644
--- a/cpp/nvtabular/inference/categorify.cc
+++ b/cpp/nvtabular/inference/categorify.cc
@@ -337,12 +337,12 @@ namespace nvtabular
           // this operator currently only supports CPU arrays
           .def_property_readonly("supports", [](py::object self)
                                  {
-                                   py::object supports = py::module_::import("nvtabular").attr("graph").attr("base_operator").attr("Supports");
+                                   py::object supports = py::module_::import("nvtabular").attr("graph").attr("operator").attr("Supports");
                                    return supports.attr("CPU_DICT_ARRAY");
                                  })
           .def_property_readonly("supported_formats", [](py::object self)
                                  {
-                                   py::object supported = py::module_::import("nvtabular").attr("graph").attr("base_operator").attr("DataFormats");
+                                   py::object supported = py::module_::import("nvtabular").attr("graph").attr("operator").attr("DataFormats");
                                    return supported.attr("NUMPY_DICT_ARRAY");
                                  });
     }
diff --git a/nvtabular/ops/operator.py b/nvtabular/ops/operator.py
index 0757557b12..a0aa99ab6a 100644
--- a/nvtabular/ops/operator.py
+++ b/nvtabular/ops/operator.py
@@ -13,6 +13,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-from merlin.dag import BaseOperator, ColumnSelector  # noqa pylint: disable=unused-import
+from merlin.dag import (  # noqa pylint: disable=unused-import
+    BaseOperator,
+    ColumnSelector,
+    DataFormats,
+)
 
-Operator = BaseOperator
+
+# Avoid TENSOR_TABLE by default (for now)
+class Operator(BaseOperator):
+    @property
+    def supported_formats(self):
+        return DataFormats.PANDAS_DATAFRAME | DataFormats.CUDF_DATAFRAME
diff --git a/tests/unit/ops/test_categorify.py b/tests/unit/ops/test_categorify.py
index 41a69ef346..28c98854a2 100644
--- a/tests/unit/ops/test_categorify.py
+++ b/tests/unit/ops/test_categorify.py
@@ -734,3 +734,8 @@ def test_categorify_inference():
     output_tensors = inference_op.transform(cats.input_columns, input_tensors)
     for key in input_tensors:
         assert output_tensors[key].dtype == np.dtype("int64")
+
+    # Check results are consistent with python code path
+    expect = workflow.transform(df)
+    got = pd.DataFrame(output_tensors)
+    assert_eq(expect, got)