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1e7050072b
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/12103 This defers lookup of defaults to the site where we read out of TensorOptions. THIS IS A BC-BREAKING BEHAVIOR CHANGE, but we expect the bulk of uses of OptionsGuard don't allocate TensorOptions inside the OptionsGuard region, and then use it outside of the region (the situation where behavior could change.) I also optimize the size of TensorOptions by rearranging fields, so that we always fit in two 64-bit words. Reviewed By: goldsborough Differential Revision: D10052523 fbshipit-source-id: f454a15b4dbf8cd17bc902ab7d2016f2f689ed13 |
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| .. | ||
| any.cpp | ||
| CMakeLists.txt | ||
| cursor.cpp | ||
| expanding-array.cpp | ||
| integration.cpp | ||
| jit.cpp | ||
| main.cpp | ||
| memory.cpp | ||
| misc.cpp | ||
| module.cpp | ||
| modules.cpp | ||
| optim_baseline.h | ||
| optim_baseline.py | ||
| optim.cpp | ||
| ordered-dict.cpp | ||
| parallel.cpp | ||
| README.md | ||
| rnn.cpp | ||
| sequential.cpp | ||
| serialize.cpp | ||
| static.cpp | ||
| support.h | ||
| tensor_cuda.cpp | ||
| tensor_options_cuda.cpp | ||
| tensor_options.cpp | ||
| tensor.cpp | ||
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.