pytorch/test/cpp/jit/test_inliner.cpp
Meghan Lele 6384c2d81b [JIT] clang-format JIT code (#35115)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35115

This commit runs the newly added tools/clang_format.py on the JIT
codebase and includes all of the formatting changes thus produced.

Testing:
Ran the script, CI.

Test Plan: Imported from OSS

Reviewed By: eellison

Differential Revision: D20568523

Pulled By: SplitInfinity

fbshipit-source-id: e09bdb982ccf090eecfb7c7b461b8d0681eef82b
2020-03-26 11:24:51 -07:00

54 lines
1.0 KiB
C++

#include <test/cpp/jit/test_base.h>
#include <torch/csrc/jit/api/compilation_unit.h>
#include <torch/csrc/jit/api/module.h>
#include <torch/csrc/jit/passes/inliner.h>
#include <torch/csrc/jit/testing/file_check.h>
const auto testSource = R"JIT(
def foo1(x):
print("one")
return x
def foo2(x):
print("two")
return foo1(x)
def foo3(x):
print("three")
return foo2(x)
)JIT";
namespace torch {
namespace jit {
using namespace testing;
struct InlinerGuard {
explicit InlinerGuard(bool shouldInline)
: oldState_(getInlineEverythingMode()) {
getInlineEverythingMode() = shouldInline;
}
~InlinerGuard() {
getInlineEverythingMode() = oldState_;
}
bool oldState_;
};
void testInliner() {
{
// disable automatic inlining so we can test it manually
InlinerGuard guard(/*shouldInline=*/false);
CompilationUnit cu(testSource);
auto& fn = cu.get_function("foo3");
auto g = fn.graph();
Inline(*g);
FileCheck().check_count("prim::Print", 3)->run(*g);
}
}
} // namespace jit
} // namespace torch