xref: /aosp_15_r20/external/pytorch/test/cpp/jit/test_load_upgraders.cpp (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1 #include <caffe2/serialize/versions.h>
2 #include <gtest/gtest.h>
3 #include <torch/csrc/jit/api/module.h>
4 #include <torch/csrc/jit/operator_upgraders/upgraders.h>
5 #include <torch/csrc/jit/operator_upgraders/version_map.h>
6 #include <torch/csrc/jit/serialization/import.h>
7 
8 #include <test/cpp/jit/test_utils.h>
9 
10 namespace torch {
11 namespace jit {
12 
13 // Basic tests to check if C++ torch::jit::load
14 // can load the upgraders fine
15 // TODO (tugsuu) add more tests
TEST(UpgraderLoad,CanPopulateUpgradersGraph)16 TEST(UpgraderLoad, CanPopulateUpgradersGraph) {
17   Module m("m");
18   m.define(R"(
19     def forward(self, x: Tensor):
20       b = 5
21       return torch.div(x, b)
22   )");
23   std::stringstream ms;
24   m.save(ms);
25   auto loaded_m = torch::jit::load(ms);
26   auto version_map = get_operator_version_map();
27   auto upgraders = dump_upgraders_map();
28 
29   for (const auto& entry : version_map) {
30     auto list_of_upgraders_for_op = entry.second;
31     for (const auto& upgrader_entry : list_of_upgraders_for_op) {
32       EXPECT_TRUE(
33           upgraders.find(upgrader_entry.upgrader_name) != upgraders.end());
34     }
35   }
36 
37   auto test_graph = loaded_m.get_method("forward").graph();
38   // should have saved with version 4, so it is still up to date
39   testing::FileCheck().check_count("aten::div", 1, true)->run(*test_graph);
40 }
41 
42 } // namespace jit
43 } // namespace torch
44