mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-06 12:20:52 +01:00

History

rzou 215f5d77b5 [functional autograd] Refactor validate_outputs into a functional variant (#141348 ) Today, validate_outputs is stateful (it depends on the autograd graph). This PR refactors it into a stateless form that just depends on InputMetadata. Test Plan: - new unittest Pull Request resolved: https://github.com/pytorch/pytorch/pull/141348 Approved by: https://github.com/soulitzer ghstack dependencies: #141278		2024-12-04 18:06:31 +00:00
..
any.cpp
autograd.cpp	[functional autograd] Refactor validate_outputs into a functional variant (#141348 )	2024-12-04 18:06:31 +00:00
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
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	Enable CI on SM89 (#140305 )	2024-12-03 04:49:46 +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

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.