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Will Feng 085bd15880 Add TORCH_WARN_ONCE, and use it in Tensor.data<T>() (#25207 ) Summary: This PR adds `TORCH_WARN_ONCE` macro, and use it in `Tensor.data<T>()`. cc. gchanan Pull Request resolved: https://github.com/pytorch/pytorch/pull/25207 Differential Revision: D17066263 Pulled By: yf225 fbshipit-source-id: 411c6ccc8326fb27ff885fee4638df8b5ba4d449		2019-08-27 21:42:44 -07:00
..
any.cpp
autograd.cpp	bind autograd functions into C++ (#24342 )	2019-08-20 15:36:34 -07:00
CMakeLists.txt	C++ ModuleList	2019-08-19 10:02:40 -07:00
dataloader.cpp	add sorting policy to ChunkDataset (#23053 )	2019-07-29 12:34:02 -07:00
expanding-array.cpp
init.cpp
init_baseline.h
init_baseline.py
integration.cpp
jit.cpp	Add Pickler C++ API (#23241 )	2019-08-12 14:43:31 -07:00
memory.cpp
misc.cpp	Add TORCH_WARN_ONCE, and use it in Tensor.data<T>() (#25207 )	2019-08-27 21:42:44 -07:00
module.cpp	Deprecate tensor.data<T>(), and codemod tensor.data<T>() to tensor.data_ptr<T>() (#24886 )	2019-08-21 20:11:24 -07:00
modulelist.cpp	C++ ModuleList	2019-08-19 10:02:40 -07:00
modules.cpp
optim.cpp
optim_baseline.h
optim_baseline.py
ordered_dict.cpp
parallel.cpp	Deprecate tensor.data<T>(), and codemod tensor.data<T>() to tensor.data_ptr<T>() (#24886 )	2019-08-21 20:11:24 -07:00
README.md
rnn.cpp	Bidirectional GRU and LSTM C++ API forward fix (#22850 )	2019-07-22 12:59:47 -07:00
sequential.cpp	Include named_any.h in modules.h (#21437 )	2019-06-06 09:57:33 -07:00
serialize.cpp
static.cpp
support.h	Add TORCH_WARN_ONCE, and use it in Tensor.data<T>() (#25207 )	2019-08-27 21:42:44 -07:00
tensor.cpp	Deprecate tensor.data<T>(), and codemod tensor.data<T>() to tensor.data_ptr<T>() (#24886 )	2019-08-21 20:11:24 -07:00
tensor_cuda.cpp	Deprecate tensor.data<T>(), and codemod tensor.data<T>() to tensor.data_ptr<T>() (#24886 )	2019-08-21 20:11:24 -07:00
tensor_options.cpp	Revert D15920763: Move TensorOptions to ATen/core	2019-08-13 12:07:18 -07:00
tensor_options_cuda.cpp	Revert D15920763: Move TensorOptions to ATen/core	2019-08-13 12:07:18 -07:00
torch_include.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.