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History

cyy 4c208c1475 Remove unneeded linking in CMake targets (#109192 ) This PR removes unused library dependencies, help refactoring in the future. Pull Request resolved: https://github.com/pytorch/pytorch/pull/109192 Approved by: https://github.com/ezyang		2023-09-15 19:43:25 +00:00
..
any.cpp
autograd.cpp	Fix Tensor::register_hook behavior on undefined tensors (#105587 )	2023-07-21 14:37:21 +00:00
CMakeLists.txt	Remove unneeded linking in CMake targets (#109192 )	2023-09-15 19:43:25 +00:00
dataloader.cpp	replace torch::make_unique with std::make_unique (#108866 )	2023-09-14 20:52:26 +00:00
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	add input check at the beginning for C++ API `interpolate` (#108506 )	2023-09-05 17:56:17 +00:00
grad_mode.cpp
inference_mode.cpp
init_baseline.h
init_baseline.py	[BE] Enable ruff's UP rules and autoformat test/ (#105434 )	2023-07-19 20:36:06 +00:00
init.cpp
integration.cpp
jit.cpp
memory.cpp	replace torch::make_unique with std::make_unique (#108866 )	2023-09-14 20:52:26 +00:00
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	add check for torch_arg (#108397 )	2023-09-08 23:18:27 +00:00
namespace.cpp
nested.cpp
nn_utils.cpp
operations.cpp
optim_baseline.h
optim_baseline.py	[BE] Enable ruff's UP rules and autoformat test/ (#105434 )	2023-07-19 20:36:06 +00:00
optim.cpp	[Reland] Elimates c10::guts::to_string (#108748 )	2023-09-07 13:35:17 +00:00
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp	Add checks to `num_layers` for `RNN`, `LSTM`, `GRU` (#108853 )	2023-09-09 19:33:52 +00:00
sequential.cpp
serialize.cpp	[Reland] Elimates c10::guts::to_string (#108748 )	2023-09-07 13:35:17 +00:00
special.cpp
static.cpp
support.cpp
support.h	[BE] Add missing override to remove build warning spam (#107191 )	2023-08-15 17:32:34 +00:00
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.