mirror of https://github.com/saymrwulf/pytorch.git synced 2026-05-15 21:00:47 +00:00

History

Edward Z. Yang 6cd9c447da Make test_api compile on DEBUG mode with some compiler versions (#86092 ) The symbol seems to conflict under some compiler versions, giving an error like "relocation refers to global symbol which is defined in a discarded section". Simple enough to put it in an anonymous namespace, so why not. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/86092 Approved by: https://github.com/Chillee		2022-10-03 13:52:32 +00:00
..
any.cpp
autograd.cpp	Add variable_list support to ExtractVariables struct (#84583 )	2022-09-16 01:26:22 +00:00
CMakeLists.txt	Add `torch.nested` namespace (#84102 )	2022-09-12 16:31:05 +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
imethod.cpp
inference_mode.cpp	Handle implicit real->complex casting for backward of stack (#84993 )	2022-09-19 21:20:34 +00:00
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	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
operations.cpp
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	Make test_api compile on DEBUG mode with some compiler versions (#86092 )	2022-10-03 13:52:32 +00:00
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.