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History

Ailing Zhang 263180d7fc Revert D26973911: Implement public API InferenceMode and its error handling Test Plan: revert-hammer Differential Revision: D26973911 (`7caa464631`) Original commit changeset: 0ebdac7a3cd5 fbshipit-source-id: afd37a3785bc694e8ffbd679eba1cfed89ef2273		2021-03-29 11:17:49 -07:00
..
any.cpp
autograd.cpp	Fix autograd when `inputs` contains tensors without materialized grad_fn (#51940 )	2021-02-11 09:22:15 -08:00
CMakeLists.txt	Revert D26973911: Implement public API InferenceMode and its error handling	2021-03-29 11:17:49 -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
init.cpp
init_baseline.h
init_baseline.py
integration.cpp
jit.cpp
memory.cpp
misc.cpp	codegen: Resolve overload ambiguities created by defaulted arguments (#49348 )	2021-01-04 11:59:16 -08:00
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	Raise error in clip_grad_norm_ if norm is non-finite (#53843 )	2021-03-29 08:41:21 -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
ordered_dict.cpp
parallel.cpp
parallel_benchmark.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp
sequential.cpp
serialize.cpp	Modernize for-loops (#50912 )	2021-01-22 10:53:24 -08:00
special.cpp	[special] add `torch.special` namespace (#52296 )	2021-03-04 00:04:36 -08:00
static.cpp
support.cpp
support.h	Revert D26973911: Implement public API InferenceMode and its error handling	2021-03-29 11:17:49 -07:00
tensor.cpp
tensor_cuda.cpp
tensor_flatten.cpp	fix unflatten_dense_tensor when there is empty tensor inside (#50321 )	2021-01-23 12:14:34 -08:00
tensor_indexing.cpp	Making ops c10-full: list of optional tensors (#49138 )	2021-01-04 05:04:02 -08:00
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.