pytorch/test/cpp/api
Nikita Shulga c6e9e9359f [Codemod][GleanFbcode] Remove dead includes in caffe2/test (#39023)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/39023

Reviewed By: orionr

Differential Revision: D21702529

fbshipit-source-id: 6945bba95609102409850b105a8a091e33b8acc9
2020-05-27 14:07:26 -07:00
..
any.cpp [C++ API] Allow skipping default arguments in module's forward method when module is used in Sequential (#33027) 2020-02-17 20:38:02 -08:00
autograd.cpp Added autograd support for C->C functions and enabled requires_grad=True for complex (#36932) 2020-04-24 12:30:49 -07:00
CMakeLists.txt [aten] Pass std::function<> to thread_pool by value, instead of const ref. (#37681) 2020-05-05 08:41:38 -07:00
dataloader.cpp
dispatch.cpp [Codemod][GleanFbcode] Remove dead includes in caffe2/test (#39023) 2020-05-27 14:07:26 -07:00
enum.cpp [C++ API] RNN / GRU / LSTM layer refactoring (#34322) 2020-03-15 17:48:29 -07:00
expanding-array.cpp
functional.cpp Support for XNNPACK max pooling operator. (#35354) 2020-04-03 22:53:15 -07:00
init.cpp [Codemod][GleanFbcode] Remove dead includes in caffe2/test (#39023) 2020-05-27 14:07:26 -07:00
init_baseline.h
init_baseline.py
integration.cpp [C++ API] Remove deprecated torch::nn::BatchNorm / FeatureDropout / modules_ordered_dict and torch::nn::init::Nonlinearity / FanMode (#34508) 2020-03-12 10:09:58 -07:00
jit.cpp
memory.cpp
misc.cpp [pytorch] Route default warning sync to LOG(WARNING) - second try (#36984) 2020-04-23 01:08:00 -07:00
module.cpp [pytorch] Route default warning sync to LOG(WARNING) - second try (#36984) 2020-04-23 01:08:00 -07:00
modulelist.cpp [C++ API] RNN / GRU / LSTM layer refactoring (#34322) 2020-03-15 17:48:29 -07:00
modules.cpp Add inplace tests for several torch::nn modules / functionals (#35147) 2020-03-21 10:02:56 -07:00
namespace.cpp Remove using namespace torch::autograd from header files (#34423) 2020-03-09 10:31:21 -07:00
nn_utils.cpp [C++ API] Add PackedSequence / pack_padded_sequence / pad_packed_sequence / pack_sequence (#33652) 2020-02-25 12:53:41 -08:00
optim.cpp [pytorch] Route default warning sync to LOG(WARNING) - second try (#36984) 2020-04-23 01:08:00 -07:00
optim_baseline.h [C++ API Parity] LBFGS optimizer step() update and added closure to the Optimizer step() function (#34564) 2020-03-17 22:27:24 -07:00
optim_baseline.py [C++ API Parity] LBFGS optimizer step() update and added closure to the Optimizer step() function (#34564) 2020-03-17 22:27:24 -07:00
ordered_dict.cpp
parallel.cpp [PyTorch] Modify data_parallel to work with small tensors (#37704) 2020-05-04 11:06:42 -07:00
parallel_benchmark.cpp [aten] Pass std::function<> to thread_pool by value, instead of const ref. (#37681) 2020-05-05 08:41:38 -07:00
README.md
rnn.cpp [C++ API] RNN / GRU / LSTM layer refactoring (#34322) 2020-03-15 17:48:29 -07:00
sequential.cpp [C++ API] RNN / GRU / LSTM layer refactoring (#34322) 2020-03-15 17:48:29 -07:00
serialize.cpp [Codemod][GleanFbcode] Remove dead includes in caffe2/test (#39023) 2020-05-27 14:07:26 -07:00
static.cpp
support.cpp
support.h Changes warnings generated in cpp to show point of Python origination (#36052) 2020-04-25 21:18:58 -07:00
tensor.cpp Added autograd support for C->C functions and enabled requires_grad=True for complex (#36932) 2020-04-24 12:30:49 -07:00
tensor_cuda.cpp
tensor_indexing.cpp [pytorch] Route default warning sync to LOG(WARNING) - second try (#36984) 2020-04-23 01:08:00 -07:00
tensor_options.cpp
tensor_options_cuda.cpp
torch_include.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.