pytorch/test/cpp/jit
Nikita Shulga cd46ee6175 Revert D26280518: [TorchScript] C++ interface of to_<backend>
Test Plan: revert-hammer

Differential Revision:
D26280518 (a184ef8df5)

Original commit changeset: fd466e4b4488

fbshipit-source-id: e4def49703ab525c063b8cc5d11296b9cc614fbb
2021-02-15 08:05:16 -08:00
..
__init__.py
CMakeLists.txt Revert D26280518: [TorchScript] C++ interface of to_<backend> 2021-02-15 08:05:16 -08:00
README.md
test_alias_analysis.cpp [codemod][fbcode/caffe2] Apply clang-format update fixes 2021-01-09 14:37:36 -08:00
test_argument_spec.cpp [codemod][fbcode/caffe2] Apply clang-format update fixes 2021-01-09 14:37:36 -08:00
test_autodiff.cpp
test_backend.cpp Revert D26280518: [TorchScript] C++ interface of to_<backend> 2021-02-15 08:05:16 -08:00
test_class_import.cpp
test_class_parser.cpp
test_class_type.cpp [JIT] Print out CU address in ClassType::repr_str() (#50194) 2021-01-19 23:04:30 -08:00
test_cleanup_passes.cpp
test_code_template.cpp
test_constant_pooling.cpp
test_create_autodiff_subgraphs.cpp
test_custom_class.cpp
test_custom_class_registrations.cpp [JIT] Add static method support for TorchBind (#51177) 2021-02-13 19:41:27 -08:00
test_custom_class_registrations.h
test_custom_operators.cpp Support complex number list in JIT (#51145) 2021-01-31 23:54:14 -08:00
test_dce.cpp
test_fuser.cpp
test_gpu.cpp [PyTorch][codemod] Replace immediately-dereferenced cast calls w/castRaw (#50229) 2021-02-01 23:12:07 -08:00
test_graph_executor.cpp [JIT] Fix archive file extension in examples and docs (#50649) 2021-01-20 02:04:46 -08:00
test_inliner.cpp
test_interface.cpp
test_interpreter.cpp [JIT] Fix archive file extension in examples and docs (#50649) 2021-01-20 02:04:46 -08:00
test_interpreter_async.pt
test_ir.cpp
test_irparser.cpp
test_jit_type.cpp [PyTorch][codemod] Replace immediately-dereferenced expect calls w/expectRef (#50228) 2021-01-13 16:13:55 -08:00
test_lite_interpreter.cpp [PyTorch Mobile] Support torchbind custom classes in lite interpreter (#51432) 2021-02-03 21:57:19 -08:00
test_lite_trainer.cpp
test_memory_dag.cpp
test_misc.cpp Improve PyTorch profiler flop computation formulas (#51377) 2021-02-02 11:49:04 -08:00
test_mobile_type_parser.cpp
test_module_api.cpp Expose run_async function on torch::jit::Method (#48607) 2020-12-11 11:17:58 -08:00
test_peephole_optimize.cpp
test_qualified_name.cpp
test_save_load.cpp Adding JIT support for cuda streams and events (#48020) 2020-12-29 20:24:57 -08:00
test_schema_matching.cpp
test_subgraph_matcher.cpp [JIT] Support multiple outputs in subgraph matcher. (#48992) 2020-12-15 13:09:24 -08:00
test_subgraph_rewriter.cpp [JIT] Support multiple outputs in subgraph matcher. (#48992) 2020-12-15 13:09:24 -08:00
test_subgraph_utils.cpp
test_utils.cpp
test_utils.h
tests_setup.py Adding JIT support for cuda streams and events (#48020) 2020-12-29 20:24:57 -08:00
torch_python_test.cpp

JIT C++ Tests

Adding a new test

First, create a new test file. Test files should have be placed in this directory, with a name that starts with test_, like test_foo.cpp.

In general a single test suite

Add your test file to the JIT_TEST_SRCS list in test/cpp/jit/CMakeLists.txt.

A test file may look like:

#include <gtest/gtest.h>

using namespace ::torch::jit

TEST(FooTest, BarBaz) {
   // ...
}

// Append '_CUDA' to the test case name will automatically filter it out if CUDA
// is not compiled.
TEST(FooTest, NeedsAGpu_CUDA) {
   // ...
}

// Similarly, if only one GPU is detected, tests with `_MultiCUDA` at the end
// will not be run.
TEST(FooTest, NeedsMultipleGpus_MultiCUDA) {
   // ...
}

Building and running the tests

The following commands assume you are in PyTorch root.

# ... Build PyTorch from source, e.g.
python setup.py develop
# (re)build just the binary
ninja -C build bin/test_jit
# run tests
build/bin/test_jit --gtest_filter='glob_style_filter*'