pytorch/test/cpp/api
Ilia Cherniavskii a604041a11 Back out "[pytorch][PR] indexing: throw exception for masks with dtype=uint8" (#36013)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36013

Original commit changeset: f4ebaabf427d

Test Plan: CI

Differential Revision: D20853694

fbshipit-source-id: 93deb43f67a385ddfd6853fef6f1dc6de408ec37
2020-04-03 21:40:02 -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 [autograd] fix allow_unused checking for C++ API (#34035) 2020-03-02 17:57:15 -08:00
CMakeLists.txt Fix/relax CMake linter rules (#35574) 2020-03-27 16:52:33 -07:00
dataloader.cpp Fix typos (#30606) 2019-12-02 20:17:42 -08:00
dispatch.cpp Add the build for runtime dispatch for AVX, AVX2 instruction set (#26125) 2020-03-10 15:32:57 -07:00
enum.cpp [C++ API] RNN / GRU / LSTM layer refactoring (#34322) 2020-03-15 17:48:29 -07:00
expanding-array.cpp Change C++ API test files to only include torch/torch.h (#27067) 2019-10-10 09:46:29 -07:00
functional.cpp Renaming: MultiLabelMarginLossFuncOptions -> MultilabelMarginLossFuncOptions, MultiLabelSoftMarginLossFuncOptions -> MultilabelSoftMarginLossFuncOptions (#35163) 2020-03-21 18:34:46 -07:00
init_baseline.h Kaiming Initialization (#14718) 2019-02-15 14:58:22 -08:00
init_baseline.py Kaiming Initialization (#14718) 2019-02-15 14:58:22 -08:00
init.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
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 Remove attempToRecoverType (#26767) 2019-10-16 11:07:13 -07:00
memory.cpp Hide c10::optional and nullopt in torch namespace (#12927) 2018-10-26 00:08:04 -07:00
misc.cpp Change C++ API test files to only include torch/torch.h (#27067) 2019-10-10 09:46:29 -07:00
module.cpp Remove dead includes in caffe2/test 2020-01-21 11:30:34 -08:00
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_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
optim.cpp Move uniform_() to DistributionTemplates(Migrate uniform_ from TH to ATen) (#35580) 2020-04-03 16:37:44 -07:00
ordered_dict.cpp Change C++ API test files to only include torch/torch.h (#27067) 2019-10-10 09:46:29 -07:00
parallel.cpp Fix bugs in torch::tensor constructor (#28523) 2019-10-31 12:53:06 -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 [C++ API Parity] [Optimizers] Merged Optimizer and LossClosureOptimizer (#34957) 2020-03-26 19:53:02 -07:00
static.cpp Re-organize C++ API torch::nn folder structure (#26262) 2019-09-17 10:07:29 -07:00
support.cpp Use default dtype for torch::tensor(floating_point_values) and torch::tensor(empty braced-init-list) when dtype is not specified (#29632) 2019-11-13 15:17:11 -08:00
support.h C++ tensor indexing: more indexing tests (#30427) 2020-02-28 22:07:41 -08:00
tensor_cuda.cpp Fix MagmaInitializesCorrectly_CUDA by using an invertible matrix (#32547) 2020-01-25 20:00:54 -08:00
tensor_indexing.cpp Back out "[pytorch][PR] indexing: throw exception for masks with dtype=uint8" (#36013) 2020-04-03 21:40:02 -07:00
tensor_options_cuda.cpp Deprecate tensor.type() (#30281) 2019-12-05 10:55:34 -08:00
tensor_options.cpp Deprecate tensor.type() (#30281) 2019-12-05 10:55:34 -08:00
tensor.cpp Bug fixes: torch::tensor(floating-point values) -> default dtype, and torch::tensor(integer values) ->at::kLong (#32367) 2020-02-01 15:00:07 -08:00
torch_include.cpp Relax set_num_threads restriction in parallel native case (#27947) 2019-10-16 21:53:36 -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.