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b4b60c2a2e
Since it's been a while after we merged the upgrader design and we haven't encountered any issues, let's get rid of the macro for safe rollout Pull Request resolved: https://github.com/pytorch/pytorch/pull/77574 Approved by: https://github.com/gmagogsfm
44 lines
1.3 KiB
C++
44 lines
1.3 KiB
C++
#include <caffe2/serialize/versions.h>
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#include <gtest/gtest.h>
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#include <torch/csrc/jit/api/module.h>
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#include <torch/csrc/jit/operator_upgraders/upgraders.h>
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#include <torch/csrc/jit/operator_upgraders/version_map.h>
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#include <torch/csrc/jit/serialization/import.h>
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#include <test/cpp/jit/test_utils.h>
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namespace torch {
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namespace jit {
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// Basic tests to check if C++ torch::jit::load
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// can load the upgraders fine
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// TODO (tugsuu) add more tests
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TEST(UpgraderLoad, CanPopulateUpgradersGraph) {
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Module m("m");
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m.define(R"(
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def forward(self, x: Tensor):
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b = 5
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return torch.div(x, b)
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)");
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std::stringstream ms;
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m.save(ms);
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auto loaded_m = torch::jit::load(ms);
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auto version_map = get_operator_version_map();
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auto upgraders = dump_upgraders_map();
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for (const auto& entry : version_map) {
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auto list_of_upgraders_for_op = entry.second;
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for (const auto& upgrader_entry : list_of_upgraders_for_op) {
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EXPECT_TRUE(
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upgraders.find(upgrader_entry.upgrader_name) != upgraders.end());
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}
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}
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auto test_graph = loaded_m.get_method("forward").graph();
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// should have saved with version 4, so it is still up to date
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testing::FileCheck().check_count("aten::div", 1, true)->run(*test_graph);
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}
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} // namespace jit
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} // namespace torch
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