Files
pytorch/test/cpp/jit/test_dce.cpp
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

53 lines
1.6 KiB
C++

#include <gtest/gtest.h>
#include <torch/csrc/jit/ir/irparser.h>
#include <torch/csrc/jit/passes/dead_code_elimination.h>
#include <torch/csrc/jit/testing/file_check.h>
namespace torch {
namespace jit {
TEST(EliminateDeadCodeTest, Basic) {
auto graph = std::make_shared<Graph>();
// Consider the following loop:
// for i in range(3):
// tot += a[0][0]
// b = a[0]
// b[0] += 1
// print(tot)
// We want to check that b[0] and b are properly marked as live and thus not
// DCE'd.
const std::string input =
R"IR(
graph():
%48 : None = prim::Constant()
%50 : bool = prim::Constant[value=1]()
%0 : int = prim::Constant[value=2]()
%12 : int = prim::Constant[value=1]()
%24 : int = prim::Constant[value=3]()
%31 : int = prim::Constant[value=0]()
%2 : int[] = prim::ListConstruct(%0, %0)
%a.1 : Tensor = prim::MakeTestTensor()
%14 : int[] = prim::ListConstruct(%12)
%tot.1 : Tensor = prim::MakeTestTensor()
%tot : Tensor = prim::Loop(%24, %50, %tot.1)
block0(%i : int, %tot.6 : Tensor):
%33 : Tensor = aten::select(%a.1, %31, %31)
%35 : Tensor = aten::select(%33, %31, %31)
# CHECK: add_
%tot.3 : Tensor = aten::add_(%tot.6, %35, %12)
%b.1 : Tensor = aten::select(%a.1, %31, %31)
%44 : Tensor = aten::select(%b.1, %31, %31)
# CHECK: add_
%46 : Tensor = aten::add_(%44, %12, %12)
-> (%50, %tot.3)
return (%tot)
)IR";
parseIR(input, graph.get());
EliminateDeadCode(graph);
// Check that dead code elimin
testing::FileCheck().run(input, *graph);
}
} // namespace jit
} // namespace torch