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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
44 lines
1,015 B
Markdown
44 lines
1,015 B
Markdown
# JIT C++ Tests
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## Adding a new test
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First, create a new test file. Test files should have be placed in this
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directory, with a name that starts with `test_`, like `test_foo.cpp`.
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In general a single test suite
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Add your test file to the `JIT_TEST_SRCS` list in `test/cpp/jit/CMakeLists.txt`.
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A test file may look like:
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```cpp
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#include <gtest/gtest.h>
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using namespace ::torch::jit
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TEST(FooTest, BarBaz) {
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// ...
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}
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// Append '_CUDA' to the test case name will automatically filter it out if CUDA
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// is not compiled.
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TEST(FooTest, NeedsAGpu_CUDA) {
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// ...
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}
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// Similarly, if only one GPU is detected, tests with `_MultiCUDA` at the end
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// will not be run.
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TEST(FooTest, NeedsMultipleGpus_MultiCUDA) {
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// ...
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}
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```
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## Building and running the tests
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The following commands assume you are in PyTorch root.
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```bash
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# ... Build PyTorch from source, e.g.
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python setup.py develop
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# (re)build just the binary
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ninja -C build bin/test_jit
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# run tests
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build/bin/test_jit --gtest_filter='glob_style_filter*'
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```
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