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History

Richard Zou ed6de45563 Fix Tensor::register_hook behavior on undefined tensors (#105587 ) When the hook registered by Tensor::register_hook (in C++) gets passed an undefined tensor, it raises an internal assert in debug mode. The cause is that we attempt to construct an OptionalTensorRef (`4448c78a5d/aten/src/ATen/core/Tensor.h (L68)`) which asserts that the passed-in TensorBase is defined. The fix is that we create a new TensorRef class to convert the TensorBase into a Tensor without bumping the refcount (which is what OptionalTensorRef does). We cannot reuse OptionalTensorRef because OptionalTensorRef represents `optional<Tensor>` that cannot hold an Undefined Tensor. For some more historical context, it looks like this behavior was introduced in #63612 Test Plan: - new tests Pull Request resolved: https://github.com/pytorch/pytorch/pull/105587 Approved by: https://github.com/soulitzer		2023-07-21 14:37:21 +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
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
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
modulelist.cpp
modules.cpp
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
ordered_dict.cpp
parallel_benchmark.cpp
parallel.cpp
parameterdict.cpp
parameterlist.cpp
README.md
rnn.cpp	distinguish mutability of untyped Storage::data (#97690 )	2023-04-08 02:02:28 +00:00
sequential.cpp
serialize.cpp
special.cpp
static.cpp
support.cpp
support.h
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.