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
175 lines
5.9 KiB
C++
175 lines
5.9 KiB
C++
#include <gtest/gtest.h>
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#include <test/cpp/api/support.h>
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#include <torch/torch.h>
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#include <string>
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#include <vector>
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using namespace at;
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using namespace torch::test;
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// A macro so we don't lose location information when an assertion fails.
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#define REQUIRE_OPTIONS(device_, index_, type_, layout_) \
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ASSERT_EQ(options.device().type(), Device((device_), (index_)).type()); \
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ASSERT_TRUE( \
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options.device().index() == Device((device_), (index_)).index()); \
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ASSERT_EQ(options.dtype(), (type_)); \
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ASSERT_TRUE(options.layout() == (layout_))
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#define REQUIRE_TENSOR_OPTIONS(device_, index_, type_, layout_) \
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ASSERT_EQ(tensor.device().type(), Device((device_), (index_)).type()); \
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ASSERT_EQ(tensor.device().index(), Device((device_), (index_)).index()); \
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ASSERT_EQ(tensor.scalar_type(), (type_)); \
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ASSERT_TRUE(tensor.options().layout() == (layout_))
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(TensorOptionsTest, DefaultsToTheRightValues) {
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TensorOptions options;
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(TensorOptionsTest, UtilityFunctionsReturnTheRightTensorOptions) {
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auto options = dtype(kInt);
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REQUIRE_OPTIONS(kCPU, -1, kInt, kStrided);
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options = layout(kSparse);
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kSparse);
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options = device({kCUDA, 1});
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REQUIRE_OPTIONS(kCUDA, 1, kFloat, kStrided);
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options = device_index(1);
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REQUIRE_OPTIONS(kCUDA, 1, kFloat, kStrided);
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options = dtype(kByte).layout(kSparse).device(kCUDA, 2).device_index(3);
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REQUIRE_OPTIONS(kCUDA, 3, kByte, kSparse);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(TensorOptionsTest, ConstructsWellFromCPUTypes) {
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TensorOptions options;
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
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options = TensorOptions({kCPU, 0});
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REQUIRE_OPTIONS(kCPU, 0, kFloat, kStrided);
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options = TensorOptions("cpu:0");
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REQUIRE_OPTIONS(kCPU, 0, kFloat, kStrided);
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options = TensorOptions(kInt);
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REQUIRE_OPTIONS(kCPU, -1, kInt, kStrided);
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options = TensorOptions(getDeprecatedTypeProperties(Backend::SparseCPU, kFloat));
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kSparse);
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options = TensorOptions(getDeprecatedTypeProperties(Backend::SparseCPU, kByte));
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REQUIRE_OPTIONS(kCPU, -1, kByte, kSparse);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(TensorOptionsTest, ConstructsWellFromCPUTensors) {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto options = empty(5, kDouble).options();
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REQUIRE_OPTIONS(kCPU, -1, kDouble, kStrided);
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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options = empty(5, getDeprecatedTypeProperties(Backend::SparseCPU, kByte)).options();
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REQUIRE_OPTIONS(kCPU, -1, kByte, kSparse);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(TensorOptionsTest, ConstructsWellFromVariables) {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto options = torch::empty(5).options();
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
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ASSERT_FALSE(options.requires_grad());
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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options = torch::empty(5, at::requires_grad()).options();
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REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
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ASSERT_FALSE(options.requires_grad());
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(DeviceTest, ParsesCorrectlyFromString) {
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Device device("cpu:0");
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ASSERT_EQ(device, Device(DeviceType::CPU, 0));
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device = Device("cpu");
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ASSERT_EQ(device, Device(DeviceType::CPU));
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device = Device("cuda:123");
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ASSERT_EQ(device, Device(DeviceType::CUDA, 123));
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device = Device("cuda");
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ASSERT_EQ(device, Device(DeviceType::CUDA));
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device = Device("mkldnn");
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ASSERT_EQ(device, Device(DeviceType::MKLDNN));
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device = Device("opengl");
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ASSERT_EQ(device, Device(DeviceType::OPENGL));
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device = Device("opencl");
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ASSERT_EQ(device, Device(DeviceType::OPENCL));
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device = Device("ideep");
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ASSERT_EQ(device, Device(DeviceType::IDEEP));
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device = Device("hip");
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ASSERT_EQ(device, Device(DeviceType::HIP));
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device = Device("hip:123");
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ASSERT_EQ(device, Device(DeviceType::HIP, 123));
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std::vector<std::string> badnesses = {
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"", "cud:1", "cuda:", "cpu::1", ":1", "3", "tpu:4", "??"};
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for (const auto& badness : badnesses) {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-goto,hicpp-avoid-goto)
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ASSERT_ANY_THROW({ Device d(badness); });
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}
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(DefaultDtypeTest, CanSetAndGetDefaultDtype) {
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AutoDefaultDtypeMode dtype_mode(kFloat);
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ASSERT_EQ(at::get_default_dtype(), kFloat);
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set_default_dtype(caffe2::TypeMeta::Make<int>());
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ASSERT_EQ(at::get_default_dtype(), kInt);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(DefaultDtypeTest, NewTensorOptionsHasCorrectDefault) {
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AutoDefaultDtypeMode dtype_mode(kFloat);
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set_default_dtype(caffe2::TypeMeta::Make<int>());
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ASSERT_EQ(at::get_default_dtype(), kInt);
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TensorOptions options;
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ASSERT_EQ(options.dtype(), kInt);
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
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TEST(DefaultDtypeTest, NewTensorsHaveCorrectDefaultDtype) {
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AutoDefaultDtypeMode dtype_mode(kFloat);
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set_default_dtype(caffe2::TypeMeta::Make<int>());
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{
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto tensor = torch::ones(5);
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ASSERT_EQ(tensor.dtype(), kInt);
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}
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set_default_dtype(caffe2::TypeMeta::Make<double>());
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{
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto tensor = torch::ones(5);
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ASSERT_EQ(tensor.dtype(), kDouble);
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}
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{
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers)
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auto tensor = torch::ones(5, kFloat);
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ASSERT_EQ(tensor.dtype(), kFloat);
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}
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}
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