0ff1bb0d8a
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11189 Replaces it with an operator TensorOptions() method on Type, reestablishing the implicit conversion. I originally wanted to get rid of the implicit conversion entirely, but there were a *lot* of use-sites, so I added it back to avoid a huge codemod. In this patch, I only had to fix sites that used the optional device_index API. Reviewed By: cpuhrsch Differential Revision: D9628281 fbshipit-source-id: 5fe2a68eefb77a3c9bb446f03a94ad723ef90210 |
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| .. | ||
| any.cpp | ||
| cursor.cpp | ||
| integration.cpp | ||
| main.cpp | ||
| misc.cpp | ||
| module.cpp | ||
| modules.cpp | ||
| optim_baseline.h | ||
| optim_baseline.py | ||
| optim.cpp | ||
| parallel.cpp | ||
| README.md | ||
| rnn.cpp | ||
| sequential.cpp | ||
| serialization.cpp | ||
| static.cpp | ||
| tensor_cuda.cpp | ||
| tensor_options_cuda.cpp | ||
| tensor_options.cpp | ||
| tensor.cpp | ||
| util.h | ||
C++ API Tests
In this folder live the tests for PyTorch's C++ API (formerly known as autogradpp). They use the Catch2 test framework.
CUDA Tests
The way we handle CUDA tests is by separating them into a separate TEST_CASE
(e.g. we have optim and optim_cuda test cases in optim.cpp), and giving
them the [cuda] tag. Then, inside main.cpp we detect at runtime whether
CUDA is available. If not, we disable these CUDA tests by appending ~[cuda]
to the test specifications. The ~ disables the tag.
One annoying aspect is that Catch only allows filtering on test cases and not
sections. Ideally, one could have a section like LSTM inside the RNN test
case, and give this section a [cuda] tag to only run it when CUDA is
available. Instead, we have to create a whole separate RNN_cuda test case and
put all these CUDA sections in there.
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