pytorch/test/cpp/api
2024-10-28 19:09:46 +00:00
..
any.cpp
autograd.cpp
CMakeLists.txt Set RUNPATH so installed tests can find the required shared libraries (#136627) 2024-10-25 09:38:08 +00:00
dataloader.cpp torch::optional -> std::optional (#138987) 2024-10-28 19:09:46 +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 torch::optional -> std::optional (#138987) 2024-10-28 19:09:46 +00:00
grad_mode.cpp
inference_mode.cpp
init_baseline.h
init_baseline.py [BE][Easy][7/19] enforce style for empty lines in import segments in test/[a-c]*/ and test/[q-z]*/ (#129758) 2024-07-31 10:54:03 +00:00
init.cpp
integration.cpp C10_UNUSED to [[maybe_unused]] (#6357) (#138364) 2024-10-19 13:17:43 +00:00
ivalue.cpp
jit.cpp
memory.cpp
meta_tensor.cpp
misc.cpp
module.cpp torch::optional -> std::optional (#138987) 2024-10-28 19:09:46 +00:00
moduledict.cpp
modulelist.cpp
modules.cpp C10_UNUSED to [[maybe_unused]] (#6357) (#138364) 2024-10-19 13:17:43 +00:00
namespace.cpp
nested_int.cpp
nested.cpp
nn_utils.cpp C10_UNUSED to [[maybe_unused]] (#6357) (#138364) 2024-10-19 13:17:43 +00:00
operations.cpp C10_UNUSED to [[maybe_unused]] (#6357) (#138364) 2024-10-19 13:17:43 +00:00
optim_baseline.h
optim_baseline.py
optim.cpp C10_UNUSED to [[maybe_unused]] (#6357) (#138364) 2024-10-19 13:17:43 +00:00
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp torch::optional -> std::optional (#138987) 2024-10-28 19:09:46 +00:00
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp torch::optional -> std::optional (#138987) 2024-10-28 19:09:46 +00:00
sequential.cpp
serialize.cpp
special.cpp
static.cpp std::value/std::type -> std::_v/std::_t (#138746) 2024-10-26 20:59:24 +00:00
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

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.