diff --git a/pyinfinitensor/src/pyinfinitensor/onnx.py b/pyinfinitensor/src/pyinfinitensor/onnx.py
index 217d230d..6b3e394c 100644
--- a/pyinfinitensor/src/pyinfinitensor/onnx.py
+++ b/pyinfinitensor/src/pyinfinitensor/onnx.py
@@ -34,7 +34,7 @@ def cuda_runtime():
 
 def from_onnx(
     model: ModelProto, runtime
-) -> Tuple[Dict[str, backend.Tensor], backend.GraphHandler]:
+) -> Tuple[Dict[str, backend.Tensor], Dict[str, backend.Tensor], backend.GraphHandler]:
     model = infer_shapes(model)
     handler = backend.GraphHandler(runtime)
 
@@ -349,7 +349,11 @@ def from_onnx(
             else:
                 assert False, "Unsupported Tensor Type: {}".format(tensor.data_type)
 
-    return inputs, handler
+    outputs: Dict[str, backend.Tensor] = {}
+    for output in model.graph.output:
+        outputs[output.name] = tensors[output.name]
+
+    return inputs, outputs, handler
 
 
 def to_onnx(graph: backend.GraphHandler, name: str) -> ModelProto:
diff --git a/src/ffi/ffi_infinitensor.cc b/src/ffi/ffi_infinitensor.cc
index 5d6085ea..402d5306 100644
--- a/src/ffi/ffi_infinitensor.cc
+++ b/src/ffi/ffi_infinitensor.cc
@@ -146,6 +146,7 @@ void init_graph_builder(py::module &m) {
 #endif
     py::class_<TensorObj, std::shared_ptr<TensorObj>>(m, "Tensor")
         .def("shape", &TensorObj::getDims, policy::move)
+        .def("printData", &TensorObj::printData, policy::automatic)
         .def("src", &TensorObj::getOutputOf, policy::move);
     py::class_<OperatorObj, std::shared_ptr<OperatorObj>>(m, "Operator")
         .def("op_type", &OperatorObj::getOpType, policy::automatic)