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/tensorexpr/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
The following commands assume you are in PyTorch root.
# (re)build the test binary ninja build/bin/test_tensorexpr # run build/bin/test_tensorexpr --gtest_filter='glob_style_filter*'