pytorch/caffe2/opt/dead_code_elim_test.cc
Nikita Shulga a9b0a921d5 Disable avoid-non-const-global-variables lint check (#62008)
Summary:
As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH`

All changes but the ones to `.clang-tidy` are generated using following script:
```
for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`;  do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008

Reviewed By: driazati, r-barnes

Differential Revision: D29838584

Pulled By: malfet

fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
2021-07-22 18:04:40 -07:00

58 lines
1.5 KiB
C++

#include "caffe2/core/common.h"
#include "caffe2/opt/converter.h"
#include "caffe2/opt/passes.h"
#include <gtest/gtest.h>
TEST(DeadCodeElim, BasicElim) {
caffe2::NetDef net;
{
caffe2::OperatorDef* def = net.add_op();
def->set_type("Fake");
def->add_input("X");
def->add_output("Y");
}
auto nn = caffe2::convertToNNModule(net);
auto pass = caffe2::OptimizationPassRegistry()->Create("DeadCodeElim", &nn);
pass->run();
auto optimized_net = caffe2::convertToCaffe2Proto(nn, net);
EXPECT_EQ(optimized_net.op().size(), 0);
}
TEST(DeadCodeElim, BasicNoElim) {
caffe2::NetDef net;
{
caffe2::OperatorDef* def = net.add_op();
def->set_type("Fake");
def->add_input("X");
def->add_output("Y");
}
net.add_external_output("Y");
auto nn = caffe2::convertToNNModule(net);
auto pass = caffe2::OptimizationPassRegistry()->Create("DeadCodeElim", &nn);
pass->run();
auto optimized_net = caffe2::convertToCaffe2Proto(nn, net);
EXPECT_EQ(optimized_net.op().size(), 1);
}
TEST(DeadCodeElim, PartiallyUsedNoElim) {
caffe2::NetDef net;
{
caffe2::OperatorDef* def = net.add_op();
def->set_type("Fake");
def->add_input("X");
def->add_output("Y");
def->add_output("Z");
}
net.add_external_output("Y");
// Z is unused, but we should keep Fake because Y is
auto nn = caffe2::convertToNNModule(net);
auto pass = caffe2::OptimizationPassRegistry()->Create("DeadCodeElim", &nn);
pass->run();
auto optimized_net = caffe2::convertToCaffe2Proto(nn, net);
EXPECT_EQ(optimized_net.op().size(), 1);
}