pytorch/test/cpp/api
lixinyu 269fdb5bb2 prepare to split transformer header file (#43069)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/43069

The transformer c++ impl need to put TransformerEncoderLayer/DecoderLayer and TransformerEncoder/TransformerDecoder in different header since TransformerEncoder/Decoder's options class need TransformerEncoderLayer/DecoderLayer as input parameter. Split header files to avoid cycle includsion.

Test Plan: Imported from OSS

Reviewed By: yf225

Differential Revision: D23139437

Pulled By: glaringlee

fbshipit-source-id: 3c752ed7702ba18a9742e4d47d049e62d2813de0
2020-08-17 07:54:05 -07:00
..
any.cpp
autograd.cpp Don't materialize output grads (#41821) 2020-08-11 04:27:07 -07:00
CMakeLists.txt C++ API TransformerEncoderLayer (#42633) 2020-08-07 11:49:42 -07:00
dataloader.cpp
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp Adds fft namespace (#41911) 2020-08-06 00:20:50 -07:00
functional.cpp
init.cpp
init_baseline.h
init_baseline.py
integration.cpp
jit.cpp
memory.cpp
misc.cpp Throw error if torch.set_deterministic(True) is called with nondeterministic CuBLAS config (#41377) 2020-08-05 12:42:24 -07:00
module.cpp
modulelist.cpp
modules.cpp Implemented torch::nn::Unflatten in libtorch (#42613) 2020-08-14 15:32:13 -07:00
namespace.cpp
nn_utils.cpp [WIP] Fix cpp grad accessor API (#40887) 2020-07-16 09:11:12 -07:00
operations.cpp Add test to cross function 2020-07-29 22:48:52 -07:00
optim.cpp [WIP] Fix cpp grad accessor API (#40887) 2020-07-16 09:11:12 -07:00
optim_baseline.h Add AdamW to C++ frontend (#40009) 2020-06-18 15:28:12 -07:00
optim_baseline.py Add AdamW to C++ frontend (#40009) 2020-06-18 15:28:12 -07:00
ordered_dict.cpp
parallel.cpp
parallel_benchmark.cpp
parameterdict.cpp Python/C++ API Parity: Add impl and tests for ParameterDict (#40654) 2020-06-29 08:50:44 -07:00
parameterlist.cpp Impl for ParameterList (#41259) 2020-07-12 20:50:31 -07:00
README.md
rnn.cpp
sequential.cpp
serialize.cpp Add AdamW to C++ frontend (#40009) 2020-06-18 15:28:12 -07:00
static.cpp
support.cpp
support.h
tensor.cpp Change to.dtype_layout to c10-full (#41169) 2020-07-10 16:04:34 -07:00
tensor_cuda.cpp
tensor_indexing.cpp
tensor_options.cpp
tensor_options_cuda.cpp
torch_include.cpp
transformer.cpp prepare to split transformer header file (#43069) 2020-08-17 07:54:05 -07:00

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.