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Ailing Zhang 7caa464631 Implement public API InferenceMode and its error handling (#53343 ) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/53343 Test Plan: Imported from OSS Reviewed By: ezyang, nikithamalgifb Differential Revision: D26973911 Pulled By: ailzhang fbshipit-source-id: 0ebdac7a3cd554822d26d5a40f539b6e2aaec61d		2021-03-27 13:44:23 -07:00
..
any.cpp
autograd.cpp
CMakeLists.txt	Implement public API InferenceMode and its error handling (#53343 )	2021-03-27 13:44:23 -07:00
dataloader.cpp	Forbid trailing whitespace (#53406 )	2021-03-05 17:22:55 -08:00
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	Forbid trailing whitespace (#53406 )	2021-03-05 17:22:55 -08:00
grad_mode.cpp	Implement public API InferenceMode and its error handling (#53343 )	2021-03-27 13:44:23 -07:00
inference_mode.cpp	Implement public API InferenceMode and its error handling (#53343 )	2021-03-27 13:44:23 -07:00
init.cpp
init_baseline.h
init_baseline.py
integration.cpp
jit.cpp
memory.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	Add padding='same' mode to conv{1,2,3}d (#45667 )	2021-03-18 16:22:03 -07:00
namespace.cpp
nn_utils.cpp	Forbid trailing whitespace (#53406 )	2021-03-05 17:22:55 -08:00
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
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 (#53343 )	2021-03-27 13:44:23 -07:00
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.