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History

Everton Constantino dd6beca854 Changing the use from ASSERT_EQ to ASSERT_FLOAT_EQ on nn_utils test. (#83693 ) Changing the use from ASSERT_EQ to ASSERT_FLOAT_EQ on nn_utils.cpp:ClipGradNorm as this is the proper way to compare equality between floating point values. This avoids `test_api` ClipGradNorm failing for WoA. Pull Request resolved: https://github.com/pytorch/pytorch/pull/83693 Approved by: https://github.com/ngimel, https://github.com/kit1980		2022-11-15 04:10:52 +00:00
..
any.cpp
autograd.cpp	Add `Warning` class and refactor C++ warnings to use it (#84101 )	2022-10-18 20:02:42 +00:00
CMakeLists.txt	Delete torch::deploy from pytorch core (#85953 )	2022-10-06 07:20:16 +00:00
dataloader.cpp	Build MacOS binaries with `-Werror` (#83049 )	2022-08-10 17:29:44 +00:00
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	[C++ API] Added missing antialiasing path in interpolation C++ api (#84599 )	2022-09-13 03:54:07 +00:00
grad_mode.cpp
inference_mode.cpp	Add `Warning` class and refactor C++ warnings to use it (#84101 )	2022-10-18 20:02:42 +00:00
init_baseline.h
init_baseline.py
init.cpp
integration.cpp
jit.cpp
memory.cpp
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp
modulelist.cpp
modules.cpp	Implement col2im decomposition and fix im2col and add a few preconditions (#85541 )	2022-09-30 09:31:53 +00:00
namespace.cpp
nested.cpp	Add python `nested_tensor` and `as_nested_tensor` constructors in `torch.nested` (#85593 )	2022-09-28 20:15:02 +00:00
nn_utils.cpp	Changing the use from ASSERT_EQ to ASSERT_FLOAT_EQ on nn_utils test. (#83693 )	2022-11-15 04:10:52 +00:00
operations.cpp
optim_baseline.h
optim_baseline.py
optim.cpp
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp
sequential.cpp
serialize.cpp	Error on ZeroTensor serialization (#88803 )	2022-11-11 08:51:29 +00:00
special.cpp
static.cpp	Make test_api compile on DEBUG mode with some compiler versions (#86092 )	2022-10-03 13:52:32 +00:00
support.cpp
support.h	Add `Warning` class and refactor C++ warnings to use it (#84101 )	2022-10-18 20:02:42 +00:00
tensor_cuda.cpp
tensor_flatten.cpp
tensor_indexing.cpp
tensor_options_cuda.cpp
tensor_options.cpp
tensor.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.