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Files

inventshah bf28d1cafc Expose bicubic mode for torch::nn::functional::grid_sample in LibTorch (#150817 )

When bicubic interpolation was added to grid_sampler in #44780, `GridSampleFuncOptions` was not updated to allow a user to use bicubic mode in LibTorch, even though the function could handle it. This PR fixes the parity such that LibTorch's  `torch::nn::functional::grid_sample` behaves the same as PyTorch's `torch.nn.functional.grid_sample`.

Existing users can directly use `torch::grid_sampler` but must know what int to pass for the interpolation (2 for bicubic) and padding mode parameters, which is not ideal.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/150817
Approved by: https://github.com/Skylion007

2025-04-21 08:55:27 +00:00

any.cpp

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autograd.cpp

c10::optional -> std::optional (#142514 )

2024-12-12 17:23:46 +00:00

CMakeLists.txt

Set RUNPATH so installed tests can find the required shared libraries (#136627 )

2024-10-25 09:38:08 +00:00

dataloader.cpp

torch::optional -> std::optional (#138987 )

2024-10-28 19:09:46 +00:00

dispatch.cpp

[Environment Variable][2/N] Use thread-safe setenv wrapper (#124485 )

2024-10-04 07:30:51 +00:00

enum.cpp

[2/N] Move c10::variant to std::variant (#109723 )

2023-09-24 02:47:43 +00:00

expanding-array.cpp

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fft.cpp

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functional.cpp

Expose bicubic mode for torch::nn::functional::grid_sample in LibTorch (#150817 )

2025-04-21 08:55:27 +00:00

grad_mode.cpp

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inference_mode.cpp

Add Warning class and refactor C++ warnings to use it (#84101 )

2022-10-18 20:02:42 +00:00

init_baseline.h

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init_baseline.py

[BE][Easy][7/19] enforce style for empty lines in import segments in test/[a-c]*/ and test/[q-z]*/ (#129758 )

2024-07-31 10:54:03 +00:00

init.cpp

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integration.cpp

C10_UNUSED to [[maybe_unused]] (#6357 ) (#138364 )

2024-10-19 13:17:43 +00:00

ivalue.cpp

Use object identity for deepcopy memo (#126126 )

2024-05-17 00:06:26 +00:00

jit.cpp

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memory.cpp

[codemod] c10:optional -> std::optional (#126135 )

2024-05-14 19:35:51 +00:00

meta_tensor.cpp

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misc.cpp

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module.cpp

torch::optional -> std::optional (#138987 )

2024-10-28 19:09:46 +00:00

moduledict.cpp

[fix] nn c++ : segfault in modulelist and moduledict (#93074 )

2023-01-27 12:20:19 +00:00

modulelist.cpp

[fix] nn c++ : segfault in modulelist and moduledict (#93074 )

2023-01-27 12:20:19 +00:00

modules.cpp

Extract reusable portions of elu_kernel into header (#149673 )

2025-03-21 23:54:26 +00:00

namespace.cpp

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nested_int.cpp

Rename singleton int to nested int (#119661 )

2024-02-16 19:21:17 +00:00

nested.cpp

Add python nested_tensor and as_nested_tensor constructors in torch.nested (#85593 )

2022-09-28 20:15:02 +00:00

nn_utils.cpp

C10_UNUSED to [[maybe_unused]] (#6357 ) (#138364 )

2024-10-19 13:17:43 +00:00

operations.cpp

C10_UNUSED to [[maybe_unused]] (#6357 ) (#138364 )

2024-10-19 13:17:43 +00:00

optim_baseline.h

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optim_baseline.py

UFMT formatting on test/autograd test/ao test/cpp test/backends (#123369 )

2024-04-05 18:51:38 +00:00

optim.cpp

[14/N] Fix extra warnings brought by clang-tidy-17 (#141644 )

2024-12-13 06:22:13 +00:00

ordered_dict.cpp

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parallel_benchmark.cpp

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parallel.cpp

torch::optional -> std::optional (#138987 )

2024-10-28 19:09:46 +00:00

parameterdict.cpp

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parameterlist.cpp

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README.md

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rnn.cpp

[ROCm][CI] upgrade CI to ROCm 6.3 (#142152 )

2025-01-09 17:14:16 +00:00

sequential.cpp

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serialize.cpp

Remove more unused variables in tests (#127510 )

2024-05-31 03:39:45 +00:00

special.cpp

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static.cpp

std::value/std::type -> std::_v/std::_t (#138746 )

2024-10-26 20:59:24 +00:00

support.cpp

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support.h

[BE] Add missing override to remove build warning spam (#107191 )

2023-08-15 17:32:34 +00:00

tensor_cuda.cpp

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tensor_flatten.cpp

Fix typo under test directory (#111304 )

2023-10-16 23:06:06 +00:00

tensor_indexing.cpp

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tensor_options_cuda.cpp

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tensor_options.cpp

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tensor.cpp

Set requires grad in TensorMaker::make_tensor() (#148255 )

2025-03-29 08:06:42 +00:00

torch_include.cpp

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transformer.cpp

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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.