mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
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
101 lines
2.6 KiB
C++
101 lines
2.6 KiB
C++
#include <gtest/gtest.h>
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#include <torch/torch.h>
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#include <test/cpp/api/support.h>
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#include <functional>
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using namespace torch::test;
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void torch_warn_once_A() {
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TORCH_WARN_ONCE("warn once");
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}
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void torch_warn_once_B() {
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TORCH_WARN_ONCE("warn something else once");
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}
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void torch_warn() {
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TORCH_WARN("warn multiple times");
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(UtilsTest, WarnOnce) {
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{
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WarningCapture warnings;
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torch_warn_once_A();
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torch_warn_once_A();
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torch_warn_once_B();
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torch_warn_once_B();
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ASSERT_EQ(count_substr_occurrences(warnings.str(), "warn once"), 1);
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ASSERT_EQ(
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count_substr_occurrences(warnings.str(), "warn something else once"),
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1);
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}
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{
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WarningCapture warnings;
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torch_warn();
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torch_warn();
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torch_warn();
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ASSERT_EQ(
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count_substr_occurrences(warnings.str(), "warn multiple times"), 3);
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}
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(NoGradTest, SetsGradModeCorrectly) {
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torch::manual_seed(0);
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torch::NoGradGuard guard;
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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torch::nn::Linear model(5, 2);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto x = torch::randn({10, 5}, torch::requires_grad());
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auto y = model->forward(x);
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torch::Tensor s = y.sum();
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// Mimicking python API behavior:
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ASSERT_THROWS_WITH(s.backward(),
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"element 0 of tensors does not require grad and does not have a grad_fn")
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}
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struct AutogradTest : torch::test::SeedingFixture {
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AutogradTest() {
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x = torch::randn({3, 3}, torch::requires_grad());
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y = torch::randn({3, 3});
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z = x * y;
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}
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torch::Tensor x, y, z;
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};
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST_F(AutogradTest, CanTakeDerivatives) {
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z.backward(torch::ones_like(z));
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ASSERT_TRUE(x.grad().allclose(y));
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST_F(AutogradTest, CanTakeDerivativesOfZeroDimTensors) {
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z.sum().backward();
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ASSERT_TRUE(x.grad().allclose(y));
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST_F(AutogradTest, CanPassCustomGradientInputs) {
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z.sum().backward(torch::ones({}) * 2);
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ASSERT_TRUE(x.grad().allclose(y * 2));
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(UtilsTest, AmbiguousOperatorDefaults) {
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auto tmp = at::empty({}, at::kCPU);
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at::_test_ambiguous_defaults(tmp);
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at::_test_ambiguous_defaults(tmp, 1);
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at::_test_ambiguous_defaults(tmp, 1, 1);
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at::_test_ambiguous_defaults(tmp, 2, "2");
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}
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