pytorch/test/cpp/jit/README.md
Michael Suo 22401b850b port all JIT tests to gtest (#45264)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45264

Context for why we are porting to gtest in: https://github.com/pytorch/pytorch/pull/45018.

This PR completes the process of porting and removes unused files/macros.

Test Plan: Imported from OSS

Reviewed By: ZolotukhinM

Differential Revision: D23901392

Pulled By: suo

fbshipit-source-id: 89526890e1a49462f3f77718f4ee273c5bc578ba
2020-09-25 11:37:43 -07:00

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1,015 B
Markdown

# 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:
```cpp
#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.
```bash
# ... 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*'
```