mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-07 00:21:07 +01:00

History

FFFrog 003c5bb156 Add checks to `num_layers` for `RNN`, `LSTM`, `GRU` (#108853 ) Fixes #108223 As the title shown Pull Request resolved: https://github.com/pytorch/pytorch/pull/108853 Approved by: https://github.com/mikaylagawarecki		2023-09-09 19:33:52 +00:00
..
any.cpp
autograd.cpp	Fix Tensor::register_hook behavior on undefined tensors (#105587 )	2023-07-21 14:37:21 +00:00
CMakeLists.txt	[ROCm] enable test_api (test_libtorch) cpp unit tests (#106712 )	2023-08-14 20:09:34 +00:00
dataloader.cpp	[BE] Enforce missing `override` keyword (#104032 )	2023-06-24 02:34:24 +00:00
dispatch.cpp
enum.cpp
expanding-array.cpp
fft.cpp
functional.cpp	add input check at the beginning for C++ API `interpolate` (#108506 )	2023-09-05 17:56:17 +00:00
grad_mode.cpp
inference_mode.cpp
init_baseline.h
init_baseline.py	[BE] Enable ruff's UP rules and autoformat test/ (#105434 )	2023-07-19 20:36:06 +00:00
init.cpp
integration.cpp
jit.cpp
memory.cpp
meta_tensor.cpp
misc.cpp
module.cpp
moduledict.cpp	[fix] nn c++ : segfault in modulelist and moduledict (#93074 )	2023-01-27 12:20:19 +00:00
modulelist.cpp	[fix] nn c++ : segfault in modulelist and moduledict (#93074 )	2023-01-27 12:20:19 +00:00
modules.cpp	add check for torch_arg (#108397 )	2023-09-08 23:18:27 +00:00
namespace.cpp
nested.cpp
nn_utils.cpp
operations.cpp
optim_baseline.h
optim_baseline.py	[BE] Enable ruff's UP rules and autoformat test/ (#105434 )	2023-07-19 20:36:06 +00:00
optim.cpp	[Reland] Elimates c10::guts::to_string (#108748 )	2023-09-07 13:35:17 +00:00
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp	Add checks to `num_layers` for `RNN`, `LSTM`, `GRU` (#108853 )	2023-09-09 19:33:52 +00:00
sequential.cpp
serialize.cpp	[Reland] Elimates c10::guts::to_string (#108748 )	2023-09-07 13:35:17 +00:00
special.cpp
static.cpp
support.cpp
support.h	[BE] Add missing override to remove build warning spam (#107191 )	2023-08-15 17:32:34 +00:00
tensor_cuda.cpp
tensor_flatten.cpp
tensor_indexing.cpp
tensor_options_cuda.cpp
tensor_options.cpp
tensor.cpp	Extend TensorImpl with BackendMeta (#97429 )	2023-04-04 23:47:03 +00:00
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.