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History

Edward Yang 9601deb1b3 Disable autograd fallback tests on Windows (#65147 ) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/65147 I think they trigger an MSVC bug per https://github.com/pytorch/pytorch/issues/48763 ghstack-source-id: 138247203 Test Plan: breakpointed https://www.internalfb.com/intern/sandcastle/job/9007199738584981/ and sush'ed into the host and ran `buck build arvr/mode/win/opt //xplat/caffe2:autograd_libtorch_test_ovrsource` in `/cygdrive/d/ovrsource-null-hg` Reviewed By: soulitzer Differential Revision: D30992685 fbshipit-source-id: 06c6fb2c18d55490f89fc91ee5b7a4c5a7faf1c6		2021-09-17 08:32:43 -07:00
..
any.cpp
autograd.cpp	Disable autograd fallback tests on Windows (#65147 )	2021-09-17 08:32:43 -07:00
CMakeLists.txt	add out variant of linear (#61801 )	2021-09-07 19:58:52 -07:00
dataloader.cpp
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	ENH Adds label_smoothing to cross entropy loss (#63122 )	2021-08-29 23:33:04 -07:00
grad_mode.cpp
imethod.cpp	Make name() part of IMethod interface (#63995 )	2021-08-30 13:31:55 -07:00
inference_mode.cpp
init.cpp
init_baseline.h
init_baseline.py
integration.cpp
jit.cpp
memory.cpp
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	Factor out TensorBase that doesn't depend on native operators (#63612 )	2021-09-08 13:28:54 -07:00
namespace.cpp
nn_utils.cpp
operations.cpp	add out variant of linear (#61801 )	2021-09-07 19:58:52 -07:00
optim.cpp
optim_baseline.h
optim_baseline.py
ordered_dict.cpp
parallel.cpp
parallel_benchmark.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp
sequential.cpp
serialize.cpp
special.cpp
static.cpp
support.cpp
support.h
tensor.cpp
tensor_cuda.cpp
tensor_flatten.cpp
tensor_indexing.cpp
tensor_options.cpp
tensor_options_cuda.cpp
torch_include.cpp
transformer.cpp

README.md

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.