mirror of
https://github.com/zebrajr/pytorch.git
synced 2026-01-15 12:15:51 +00:00
Summary: Stacked PRs * #33474 - [jit] Remove list specializations from pickler * **#33255 - [jit] Add type tags to lists/dicts in pickle** This adds a global call to `torch.jit._pickle.restore_type_tags` for lists and dicts so that we can preserve their types after serialization. ](https://our.intern.facebook.com/intern/diff/20346780/) Pull Request resolved: https://github.com/pytorch/pytorch/pull/33255 Pulled By: driazati Differential Revision: D20346780 fbshipit-source-id: c8534954ef4adb2e3c880401acbee30cd284f3db
JIT C++ Tests
How to add 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.
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
Why do we have two different test runners?
We have two different ways of running our cpp tests:
- With
gtest, from a standalone binary. - With Python, from
TestJit.test_cppandTestJit.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.
How do I run the tests?
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