Update on "[ONNX] Enable _jit_pass_onnx_fold_if only when dynamic_axes is None (#50582)"

Fixing pytorch/vision#3251 (PR #49410 triggers the torch vision test build failure, on three tests test_faster_rcnn, test_mask_rcnn, test_keypoint_rcnn. )

The offending PR is fine on pytorch UT, because the torchvision and pytorch test has a gap when we merge them - we are using different test API on two sides, therefore causing some discrepancy.

This PR bridge the gap for the above three tests, and disable _jit_pass_onnx_fold_if pass until it gets fixed.
Allow _jit_pass_onnx_fold_if only when dynamic_axes is None.

[ghstack-poisoned]

Author: BowenBao

torch/csrc/jit/passes/onnx/shape_type_inference.cpp

@@ -265,8 +265,8 @@ Node* CloneNodeToGraph(
     int opset_version) {
   auto vals_to_params_map =
       buildValueToParamsMap(n->owningGraph()->block(), params_dict);
-  auto clone_node =
-      n_graph->createClone(n, [&n_graph, &vals_to_params_map, opset_version](Value* v) {
+  auto clone_node = n_graph->createClone(
+      n, [&n_graph, &vals_to_params_map, opset_version](Value* v) {
         auto v_n = v->node();
         switch (v_n->kind()) {
           case ::c10::onnx::Constant: {