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
95 lines
2.5 KiB
C++
95 lines
2.5 KiB
C++
#include <gtest/gtest.h>
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#include <torch/csrc/jit/ir/ir.h>
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#include <torch/csrc/jit/runtime/custom_operator.h>
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#include <torch/csrc/jit/testing/file_check.h>
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#include <torch/jit.h>
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#include <sstream>
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#include <string>
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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(SchemaMatchingTest, VarType) {
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RegisterOperators reg({
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Operator(
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"aten::test_vartype(t[] a, t b) -> (t)",
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[](Stack* stack) {
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c10::List<double> list;
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// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
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double a;
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pop(stack, list, a);
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push(stack, a);
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},
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c10::AliasAnalysisKind::FROM_SCHEMA),
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});
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Module m("m");
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m.define(R"(
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def test(self):
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a = (1.0, 2.0)
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return torch.test_vartype(a, 2.0)
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)");
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auto result = m.run_method("test");
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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TORCH_INTERNAL_ASSERT(result.toDouble() == 2.0);
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const std::string error_example = R"JIT(
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def test_2(self):
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a = (1.0, 2.0)
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non_float = (1, 1)
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return torch.test_vartype(a, non_float)
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)JIT";
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std::string err = "";
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try {
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m.define(error_example);
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} catch (const std::exception& e) {
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err = e.what();
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}
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TORCH_INTERNAL_ASSERT(
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err.find("previously matched to type") != std::string::npos);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(SchemaMatchingTest, VarType2) {
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RegisterOperators reg({
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Operator(
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"aten::test_vartype2(t a, t[] b) -> (t[])",
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[](Stack* stack) {
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// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
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double a;
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c10::List<double> list;
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pop(stack, a, list);
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push(stack, a);
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},
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AliasAnalysisKind::FROM_SCHEMA),
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});
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Module m("m");
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m.define(R"JIT(
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def test(self):
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a = (1.0, 2.0)
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return torch.test_vartype2(3.0, a)
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)JIT");
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auto result = m.run_method("test");
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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TORCH_INTERNAL_ASSERT(result.toDouble() == 3.0);
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static const auto error_exam2 = R"JIT(
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def test_2(self):
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a = (1, 2)
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return torch.test_vartype2(3.0, a)
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)JIT";
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std::string err = "";
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try {
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m.define(error_exam2);
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} catch (const std::exception& e) {
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err = e.what();
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}
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TORCH_INTERNAL_ASSERT(
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err.find("previously matched to type") != std::string::npos);
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}
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} // namespace jit
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} // namespace torch
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