mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +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
50 lines
1.5 KiB
C++
50 lines
1.5 KiB
C++
#include <gtest/gtest.h>
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#include <torch/csrc/jit/frontend/ir_emitter.h>
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#include <torch/csrc/jit/ir/ir.h>
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#include <torch/csrc/jit/ir/irparser.h>
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#include <torch/csrc/jit/testing/file_check.h>
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namespace torch {
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namespace jit {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(CleanupPassTest, Basic) {
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// Tests stability of clean up passes when dealing with constant pooling
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// and constant propagation.
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auto graph = std::make_shared<Graph>();
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parseIR(
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R"IR(
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graph(%cond.1 : Tensor,
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%suffix.1 : str):
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%3 : bool = aten::Bool(%cond.1) # o.py:6:7
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%25 : str = prim::If(%3) # o.py:6:4
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block0():
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%a.1 : str = prim::Constant[value="same string"]()
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%b.1 : str = prim::Constant[value=" with a twist"]()
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%7 : str = aten::add(%a.1, %b.1)
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%11 : str = aten::add(%7, %suffix.1) # o.py:10:15
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-> (%11)
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block1():
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%c.1 : str = prim::Constant[value="same string"]()
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%d.1 : str = prim::Constant[value=" with a twist"]()
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%12 : str = aten::add(%c.1, %d.1)
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-> (%12)
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return (%25)
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)IR",
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&*graph);
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runCleanupPasses(graph);
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testing::FileCheck()
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.check_count(
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"prim::Constant[value=\"same string with a twist\"]",
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1,
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/*exactly=*/true)
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->run(*graph);
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auto graph_after_pass_once = graph->toString();
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runCleanupPasses(graph);
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auto graph_after_pass_twice = graph->toString();
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ASSERT_EQ(graph_after_pass_once, graph_after_pass_twice);
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}
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} // namespace jit
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} // namespace torch
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