pytorch/test/cpp/api
Ailing Zhang 1d8053655d Rename AutoNonVariableTypeMode to AutoDispatchBelowAutograd and add a warning. (#56422)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/56422

Test Plan: Imported from OSS

Reviewed By: bertmaher

Differential Revision: D27866608

Pulled By: ailzhang

fbshipit-source-id: 507bbcaa4c25edf23e67162780efaa70f64ad14a
2021-04-20 17:04:08 -07:00
..
any.cpp
autograd.cpp
CMakeLists.txt Implement public API InferenceMode and its error handling (#55008) 2021-03-31 10:48:00 -07:00
dataloader.cpp Lint trailing newlines (#54737) 2021-03-30 13:09:52 -07:00
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp Add padding_idx argument to EmbeddingBag (#49237) 2021-04-14 09:38:01 -07:00
grad_mode.cpp Make grad mode error just a warning (#56401) 2021-04-20 06:30:55 -07:00
inference_mode.cpp Rename AutoNonVariableTypeMode to AutoDispatchBelowAutograd and add a warning. (#56422) 2021-04-20 17:04:08 -07:00
init.cpp
init_baseline.h Lint trailing newlines (#54737) 2021-03-30 13:09:52 -07:00
init_baseline.py
integration.cpp
jit.cpp
memory.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp Add padding_idx argument to EmbeddingBag (#49237) 2021-04-14 09:38:01 -07:00
namespace.cpp
nn_utils.cpp Flip clip_grad_norm default for error_if_nonfinite to false (#55169) 2021-04-02 12:25:32 -07:00
operations.cpp
optim.cpp Adding learning rate schedulers to C++ API (#52268) 2021-03-10 23:09:51 -08:00
optim_baseline.h
optim_baseline.py Remove legacy constructor calls from pytorch codebase. (#54142) 2021-04-11 15:45:17 -07:00
ordered_dict.cpp
parallel.cpp
parallel_benchmark.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp
sequential.cpp
serialize.cpp
special.cpp [special] add torch.special namespace (#52296) 2021-03-04 00:04:36 -08:00
static.cpp
support.cpp
support.h Implement public API InferenceMode and its error handling (#55008) 2021-03-31 10:48:00 -07:00
tensor.cpp Remove is_variable from tests (#56305) 2021-04-20 09:03:53 -07:00
tensor_cuda.cpp
tensor_flatten.cpp
tensor_indexing.cpp
tensor_options.cpp
tensor_options_cuda.cpp
torch_include.cpp
transformer.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.