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
.
Here is an example test file you can copy-paste.
#include <test/cpp/jit/test_base.h>
// Tests go in torch::jit
namespace torch {
namespace jit {
// 1. Test cases are void() functions.
// 2. They start with the prefix `test`
void testCaseOne() {
// ...
}
void testCaseTwo() {
// ...
}
}
}
Then, register your test in tests.h
:
// Add to TH_FORALL_TESTS_CUDA instead for CUDA-requiring tests
#define TH_FORALL_TESTS(_) \
_(ADFormulas) \
_(Attributes) \
...
_(CaseOne) // note that the `test` prefix is omitted.
_(CaseTwo)
We glob all the test files together in CMakeLists.txt
so that you don't
have to edit it every time you add a test. Unfortunately, this means that in
order to get the build to pick up your new test file, you need to re-run
cmake:
python setup.py build --cmake
We have two different ways of running our cpp tests:
- With
gtest
, from a standalone binary. - With Python, from
TestJit.test_cpp
andTestJit.test_cpp_cuda
(intest/test_jit.py
)
We want both because we need to test things from a pure-C++ environment and with all our various Python patch-points enabled.
The following commands assume you are in PyTorch root.
- With
gtest
:# (re)build the test binary ninja build/bin/test_jit # run build/bin/test_jit --gtest_filter='glob_style_filter*'
- With Python:
python test/test_jit.py TestJit.test_cpp TestJit.test_cpp_cuda