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Nikita Shulga d7caef7996 [CI] Update clang-format (#116002 ) To 17.0.6 build using https://github.com/pytorch/test-infra/blob/main/.github/workflows/clang-tidy-linux.yml Pull Request resolved: https://github.com/pytorch/pytorch/pull/116002 Approved by: https://github.com/suo		2023-12-18 14:58:46 +00:00
..
any.cpp
autograd.cpp
CMakeLists.txt	Move SingletonSymNodeImpl from c10 to aten (#114895 )	2023-12-13 20:01:18 +00:00
dataloader.cpp	Fix typo under test directory (#111304 )	2023-10-16 23:06:06 +00:00
dispatch.cpp
enum.cpp	[2/N] Move c10::variant to std::variant (#109723 )	2023-09-24 02:47:43 +00:00
expanding-array.cpp
fft.cpp
functional.cpp	[CI] Update clang-format (#116002 )	2023-12-18 14:58:46 +00:00
grad_mode.cpp
inference_mode.cpp
init_baseline.h
init_baseline.py
init.cpp
integration.cpp
jit.cpp
memory.cpp	[Reland] Move torch::make_unique to std::make_unique (#109780 )	2023-09-21 18:30:21 +00:00
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	[CI] Update clang-format (#116002 )	2023-12-18 14:58:46 +00:00
namespace.cpp
nested.cpp
nn_utils.cpp
operations.cpp
optim_baseline.h
optim_baseline.py
optim.cpp
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp	Fixed crash when calling pad_packed_tensor when packed with cuda tensors and ensure_sorted=false due to indexing with tensors on different devices (#115028 )	2023-12-07 18:09:18 +00:00
sequential.cpp
serialize.cpp
singleton_int.cpp	Move SingletonSymNodeImpl from c10 to aten (#114895 )	2023-12-13 20:01:18 +00:00
special.cpp
static.cpp
support.cpp
support.h
tensor_cuda.cpp
tensor_flatten.cpp	Fix typo under test directory (#111304 )	2023-10-16 23:06:06 +00:00
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.