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Richard Barnes b7f798caa4 Use C10_UNUSED instead of (void)X (#137239 ) Summary: Auto-generated with ``` buck run //scripts/rbarnes/regex_multiline_replacer:regex_multiline_replacer -- --find '^(\sfor\s\()(const.\n)\s\(void\)[A-Za-z]+;\s//\sSuppress.\s\n(.)' --replace '\1C10_UNUSED \2\3' `find caffe2/ -regex ".\.\(cpp\\|h\)"` ``` Differential Revision: D33432600 Pull Request resolved: https://github.com/pytorch/pytorch/pull/137239 Approved by: https://github.com/Skylion007		2024-10-15 14:32:59 +00:00
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any.cpp
autograd.cpp
CMakeLists.txt	fix build error with gcc 12+ (#137092 )	2024-10-02 00:37:15 +00:00
dataloader.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
dispatch.cpp	[Environment Variable][2/N] Use thread-safe setenv wrapper (#124485 )	2024-10-04 07:30:51 +00:00
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
grad_mode.cpp
inference_mode.cpp
init_baseline.h
init_baseline.py
init.cpp
integration.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
ivalue.cpp
jit.cpp
memory.cpp
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
namespace.cpp
nested_int.cpp
nested.cpp
nn_utils.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
operations.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
optim_baseline.h
optim_baseline.py
optim.cpp	Use C10_UNUSED instead of (void)X (#137239 )	2024-10-15 14:32:59 +00:00
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp
sequential.cpp
serialize.cpp
special.cpp
static.cpp
support.cpp
support.h
tensor_cuda.cpp
tensor_flatten.cpp
tensor_indexing.cpp
tensor_options_cuda.cpp
tensor_options.cpp
tensor.cpp
torch_include.cpp
transformer.cpp

README.md

C++ Frontend Tests

In this folder live the tests for PyTorch's C++ Frontend. They use the GoogleTest test framework.

CUDA Tests

To make a test runnable only on platforms with CUDA, you should suffix your test with _CUDA, e.g.

TEST(MyTestSuite, MyTestCase_CUDA) { }

To make it runnable only on platforms with at least two CUDA machines, suffix it with _MultiCUDA instead of _CUDA, e.g.

TEST(MyTestSuite, MyTestCase_MultiCUDA) { }

There is logic in main.cpp that detects the availability and number of CUDA devices and supplies the appropriate negative filters to GoogleTest.

Integration Tests

Integration tests use the MNIST dataset. You must download it by running the following command from the PyTorch root folder:

$ python tools/download_mnist.py -d test/cpp/api/mnist

The required paths will be referenced as test/cpp/api/mnist/... in the test code, so you must run the integration tests from the PyTorch root folder.