pytorch/test/cpp/api
Sebastian Messmer b527e48588 Use c10::List (#21177)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21177

- Integrate c10::ListPtr into IValue and the c10 dispatcher.
- Streamline conversion to/from IValue. Before, we had IValue::to<> and kernel_functor.h had its own ivalue_to_arg_type and return_type_to_ivalue. They are now unified. Also, this means that nested types like Dicts of Lists of Optional of Dict of ... do work as expected now

Differential Revision: D15476433

fbshipit-source-id: bde9df80df20091aa8e6ae17ba7e90abd149b954
2019-06-12 13:58:24 -07:00
..
any.cpp Fix Windows build and test in CI (#11716) 2018-11-13 16:35:54 -08:00
CMakeLists.txt Back out "[pytorch][PR] [Re-landing] Fix caffe2 windows CI for new Windows AMI" (#21670) 2019-06-12 10:37:19 -07:00
dataloader.cpp Refactor ChunkDataReader API + fix missing headers (#19485) 2019-05-08 22:20:19 -07:00
expanding-array.cpp Rewrite C++ API tests in gtest (#11953) 2018-09-21 21:28:16 -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 Fix torch::nn::init::orthogonal_ with CNNs (#18915) 2019-04-09 10:39:15 -07:00
integration.cpp Move isnan to C++ (#15722) 2019-01-08 10:42:33 -08:00
jit.cpp Use c10::List (#21177) 2019-06-12 13:58:24 -07:00
memory.cpp Hide c10::optional and nullopt in torch namespace (#12927) 2018-10-26 00:08:04 -07:00
misc.cpp Kaiming Initialization (#14718) 2019-02-15 14:58:22 -08:00
module.cpp Apply modernize-use-override - 2/2 2019-02-13 21:01:28 -08:00
modules.cpp Rename BatchNorm running_variance to running_var (#17371) 2019-02-22 08:00:25 -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 Replace cursors with OrderedDict (#13427) 2018-11-07 11:10:05 -08:00
ordered_dict.cpp Replace cursors with OrderedDict (#13427) 2018-11-07 11:10:05 -08:00
parallel.cpp Fix C++ data parallel (#20910) 2019-06-06 11:57:31 -07:00
README.md Rewrite C++ API tests in gtest (#11953) 2018-09-21 21:28:16 -07:00
rnn.cpp Pretty printing of C++ modules (#15326) 2018-12-19 21:55:49 -08:00
sequential.cpp Include named_any.h in modules.h (#21437) 2019-06-06 09:57:33 -07:00
serialize.cpp Ignore nn::Functional submodules in nn::Module serialization (#19740) 2019-04-26 12:47:23 -07:00
static.cpp Make call operator on module holder call forward (#15831) 2019-01-14 14:40:33 -08:00
support.h Use torch:: instead of at:: in all C++ APIs (#13523) 2018-11-06 14:32:25 -08:00
tensor_cuda.cpp push magma init into lazyInitCUDA (#18527) 2019-04-03 12:47:34 -07:00
tensor_options_cuda.cpp Add ScalarType argument to Type::options() (#19270) 2019-04-21 21:16:07 -07:00
tensor_options.cpp Add ScalarType argument to Type::options() (#19270) 2019-04-21 21:16:07 -07:00
tensor.cpp Rename _local_scalar to item() (#13676) 2018-12-04 13:19:26 -08:00
torch_include.cpp Add get/set_num_interop_threads into torch.h include (#20659) 2019-05-20 00:34:59 -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.