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Edward Z. Yang 2eda30aa8b Use bool masks in indexing tests that aren't about uint8 (#201373 )

## Linked issue or supporting maintainer

Part of #201370
Supported by @ezyang

## BC-breaking?

No

## Summary (human written only)

<!-- TODO(ezyang): fill in -->

## Agent details (if applicable)

> Several indexing tests about bool / mask indexing build their masks (or
> 0-dim true/false indices) as uint8, which is deprecated (#201370). Switch
> them to bool so they keep testing what they are about once uint8 indexing
> becomes an error. Tests that are specifically about uint8 masks are left for
> that change.
>
> Test plan: test_indexing.py. The C++ test_api and MPS edits were not run
> locally.
>
> Authored with an AI assistant.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/201373
Approved by: https://github.com/Skylion007

2026-10-26 15:26:25 +00:00

any.cpp

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autograd.cpp

[autograd] Convert shared_ptr<Node> to intrusive_ptr<Node> (v2) (#181782 ) (#181782 )

2026-04-30 16:26:35 +00:00

CMakeLists.txt

[ci][cpu] Update compiler to GCC-13 in jammy-aarch64 (#166849 )

2025-11-06 03:14:16 +00:00

dataloader.cpp

[RAWTHROW][6] test/cpp and test/cpp_extensions: 43 conversions, 5 that must not be (#194773 )

2026-08-31 23:48:04 +00:00

dispatch.cpp

…

enum.cpp

…

expanding-array.cpp

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fft.cpp

…

functional.cpp

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grad_mode.cpp

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inference_mode.cpp

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init_baseline.h

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init_baseline.py

[2/N] Use key in dict for existence checks (#167174 )

2025-11-06 12:13:47 +00:00

init.cpp

[BE][Ez]: Micro-opt char literal ostream overloads (#186387 )

2026-06-06 03:00:51 +00:00

integration.cpp

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ivalue.cpp

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jit.cpp

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memory.cpp

…

meta_tensor.cpp

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misc.cpp

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module.cpp

[BE][Ez]: Micro-opt char literal ostream overloads (#186387 )

2026-06-06 03:00:51 +00:00

moduledict.cpp

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modulelist.cpp

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modules.cpp

Check num_heads in F::multi_head_attention_forward (#195381 )

2026-09-09 03:17:45 +00:00

namespace.cpp

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nested_int.cpp

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nested.cpp

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nn_utils.cpp

[BE][Ez]: Use rvalue overload for stringstream str (#186552 )

2026-06-08 00:09:08 +00:00

operations.cpp

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optim_baseline.h

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optim_baseline.py

[2/N] Use key in dict for existence checks (#167174 )

2025-11-06 12:13:47 +00:00

optim.cpp

[BE][Ez]: Micro-opt char literal ostream overloads (#186387 )

2026-06-06 03:00:51 +00:00

ordered_dict.cpp

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parallel_benchmark.cpp

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parallel.cpp

[RAWTHROW][6] test/cpp and test/cpp_extensions: 43 conversions, 5 that must not be (#194773 )

2026-08-31 23:48:04 +00:00

parameterdict.cpp

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parameterlist.cpp

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printing.cpp

[BE][Ez]: Use CPP20 rvalue overload for ostringstream (#187208 )

2026-07-10 23:33:00 +00:00

README.md

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rnn.cpp

[ROCm] Use ASSERT_NEAR for final LSTM states in BidirectionalLSTMReverseForward (#199922 )

2026-10-07 18:51:54 +00:00

sequential.cpp

Preserve submodule names in torch::nn::Sequential::clone() (#195107 )

2026-08-30 20:22:34 +00:00

serialize.cpp

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special.cpp

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static.cpp

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support.cpp

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support.h

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tensor_cuda.cpp

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tensor_flatten.cpp

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tensor_indexing.cpp

Use bool masks in indexing tests that aren't about uint8 (#201373 )

2026-10-26 15:26:25 +00:00

tensor_options_cuda.cpp

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tensor_options.cpp

Raise user error for dense mkldnn device tensors (#185711 )

2026-06-24 14:52:06 +00:00

tensor.cpp

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torch_include.cpp

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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.