mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
4cb534f92e
Summary:
This is an automatic change generated by the following script:
```
#!/usr/bin/env python3
from subprocess import check_output, check_call
import os
def get_compiled_files_list():
import json
with open("build/compile_commands.json") as f:
data = json.load(f)
files = [os.path.relpath(node['file']) for node in data]
for idx, fname in enumerate(files):
if fname.startswith('build/') and fname.endswith('.DEFAULT.cpp'):
files[idx] = fname[len('build/'):-len('.DEFAULT.cpp')]
return files
def run_clang_tidy(fname):
check_call(["python3", "tools/clang_tidy.py", "-c", "build", "-x", fname,"-s"])
changes = check_output(["git", "ls-files", "-m"])
if len(changes) == 0:
return
check_call(["git", "commit","--all", "-m", f"NOLINT stubs for {fname}"])
def main():
git_files = check_output(["git", "ls-files"]).decode("ascii").split("\n")
compiled_files = get_compiled_files_list()
for idx, fname in enumerate(git_files):
if fname not in compiled_files:
continue
if fname.startswith("caffe2/contrib/aten/"):
continue
print(f"[{idx}/{len(git_files)}] Processing {fname}")
run_clang_tidy(fname)
if __name__ == "__main__":
main()
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56892
Reviewed By: H-Huang
Differential Revision: D27991944
Pulled By: malfet
fbshipit-source-id: 5415e1eb2c1b34319a4f03024bfaa087007d7179
53 lines
1.6 KiB
C++
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 {
|
|
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
|
|
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
|