Add standardOps match more input type in ORT (#53813) (#56172)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56172

Enable the standardOps include **Add\Sub\Mul\Div\Gemm\Pow\Mod**  with low precision input in ORT

Test Plan: Imported from OSS

Reviewed By: pbelevich

Differential Revision: D27866136

Pulled By: SplitInfinity

fbshipit-source-id: f2cf5649fffefd68c0cc7b6dce94198751636727

torch/csrc/jit/python/init.cpp

@@ -207,7 +207,17 @@ void initJITBindings(PyObject* module) {
             return paramsDict;
           },
           pybind11::return_value_policy::move)
-      .def("_jit_pass_onnx_scalar_type_analysis", ScalarTypeAnalysisForONNX)
+      .def(
+          "_jit_pass_onnx_scalar_type_analysis",
+          [](std::shared_ptr<Graph>& graph,
+             bool lowprecision_cast,
+             int opset_version) {
+            return ScalarTypeAnalysisForONNX(
+                graph, lowprecision_cast, opset_version);
+          },
+          py::arg("graph"),
+          py::arg("lowprecision_cast") = true,
+          py::arg("opset_version"))
       .def(
           "_jit_pass_onnx_remove_inplace_ops_for_onnx", RemoveInplaceOpsForONNX)
       .def(