pytorch/test/cpp/api
Jerry Zhang 1bb6c51421 Fix getAttribute (#31011)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31011

`getAttribute` is supposed to throw when there the attribute is not
found rather than return a `nullptr`.

Test Plan:
.

Imported from OSS

Differential Revision: D18898417

fbshipit-source-id: 0fe7d824b978ad19bb5ef094d3aa560e9fc57f87
2019-12-18 19:27:39 -08:00
..
any.cpp Separate libtorch tests from libtorch build. (#26927) 2019-10-02 08:04:52 -07:00
autograd.cpp Fix bugs in torch::tensor constructor (#28523) 2019-10-31 12:53:06 -07:00
CMakeLists.txt 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
dataloader.cpp Fix typos (#30606) 2019-12-02 20:17:42 -08:00
enum.cpp Use c10::variant-based enums for F::grid_sample 2019-11-12 16:05:26 -08:00
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 Add test for F::max_unpool3d, and update parity table 2019-11-20 12:42:24 -08:00
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 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
integration.cpp C++ API parity: Dropout, Dropout2d, Dropout3d 2019-11-15 20:32:06 -08:00
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 Exclude undefined tensors in the result of Module::parameters() / named_paramters() / buffers() / named_buffers() (#30626) 2019-12-02 21:59:58 -08:00
modulelist.cpp C++ API parity: Dropout, Dropout2d, Dropout3d 2019-11-15 20:32:06 -08:00
modules.cpp C++ API parity: MultiheadAttention 2019-12-18 10:13:29 -08:00
nn_utils.cpp Fix typos (#30606) 2019-12-02 20:17:42 -08:00
optim_baseline.h Use torch:: instead of at:: in all C++ APIs (#13523) 2018-11-06 14:32:25 -08:00
optim_baseline.py Use torch:: instead of at:: in all C++ APIs (#13523) 2018-11-06 14:32:25 -08:00
optim.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
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 Rewrite C++ API tests in gtest (#11953) 2018-09-21 21:28:16 -07:00
rnn.cpp Change C++ API test files to only include torch/torch.h (#27067) 2019-10-10 09:46:29 -07:00
sequential.cpp C++ API parity: Dropout, Dropout2d, Dropout3d 2019-11-15 20:32:06 -08:00
serialize.cpp Fix getAttribute (#31011) 2019-12-18 19:27:39 -08:00
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 Exclude undefined tensors in the result of Module::parameters() / named_paramters() / buffers() / named_buffers() (#30626) 2019-12-02 21:59:58 -08:00
tensor_cuda.cpp Deprecate tensor.data<T>(), and codemod tensor.data<T>() to tensor.data_ptr<T>() (#24886) 2019-08-21 20:11:24 -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 Remove TensorImpl::is_variable, deprecate Tensor::is_variable (#29653) 2019-11-14 11:41:02 -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.