pytorch/test/cpp/jit
Linbin Yu b28422d444 add overload name for str cmp (#39607)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39607

add overload name for strcmp macro to prevent duplicated op names in lite interpreter

also reformatted some other files

Test Plan:
verified these op schema are changed

```
-aten::eq(str a, str b) -> (bool)
+aten::eq.str(str a, str b) -> (bool)

-aten::ne(str a, str b) -> (bool)
+aten::ne.str(str a, str b) -> (bool)

-aten::lt(str a, str b) -> (bool)
+aten::lt.str(str a, str b) -> (bool)

-aten::gt(str a, str b) -> (bool)
+aten::gt.str(str a, str b) -> (bool)

-aten::le(str a, str b) -> (bool)
+aten::le.str(str a, str b) -> (bool)

-aten::ge(str a, str b) -> (bool)
+aten::ge.str(str a, str b) -> (bool)
```

Reviewed By: iseeyuan

Differential Revision: D21913049

fbshipit-source-id: 518db068c8c5b0efd19223f0bd94fc3351335dc4
2020-06-06 23:21:35 -07:00
..
__init__.py
CMakeLists.txt [cmake] add USE_SYSTEM_{XNNPACK,ONNX} options. (#37501) 2020-04-29 09:26:16 -07:00
gtest.cpp
README.md
test_alias_analysis.cpp [jit] speed up alias analysis (#36345) 2020-04-30 18:27:41 -07:00
test_argument_spec.cpp Adding symbolic sizes, contiguity, stride indices (#36101) 2020-05-01 02:01:25 -07:00
test_autodiff.cpp Adding symbolic sizes, contiguity, stride indices (#36101) 2020-05-01 02:01:25 -07:00
test_base.cpp
test_base.h
test_class_import.cpp [jit] normalize getMethod (#37472) 2020-05-06 15:22:25 -07:00
test_class_parser.cpp
test_class_type.cpp
test_code_template.cpp
test_constant_pooling.cpp Teach IRParser to parse strides along with sizes in a tensor type. (#36951) 2020-04-21 17:27:15 -07:00
test_create_autodiff_subgraphs.cpp
test_custom_class.cpp [quant][graphmode] Different rule for add/add_/mul/mul_ (#38667) 2020-05-20 19:43:46 -07:00
test_custom_operators.cpp
test_dce.cpp
test_fuser.cpp [wip] update graph fuser aliasdb in-place (#37106) 2020-04-30 22:21:35 -07:00
test_gpu.cpp [Reland] add xenial + cuda 9.2 + gcc 5.4 CI test (#39036) 2020-05-28 19:48:18 -07:00
test_graph_executor.cpp
test_inliner.cpp
test_interface.cpp [jit] fix named tuples as attributes (#37251) 2020-04-24 17:48:44 -07:00
test_interpreter.cpp
test_ir.cpp
test_irparser.cpp Teach IRParser to parse strides along with sizes in a tensor type. (#36951) 2020-04-21 17:27:15 -07:00
test_jit_type.cpp
test_lite_interpreter.cpp
test_misc.cpp add overload name for str cmp (#39607) 2020-06-06 23:21:35 -07:00
test_mobile_type_parser.cpp
test_module_api.cpp [JIT] Refactor attributes to support buffers and parameters as first class citizens, add support for iterating over named_buffers() (#37905) 2020-05-18 23:23:43 -07:00
test_peephole_optimize.cpp [JIT] Dont optimize shape peepholes on inline (#36404) 2020-04-15 17:49:48 -07:00
test_qualified_name.cpp
test_save_load.cpp
test_schema_matching.cpp
test_subgraph_matcher.cpp [jit][subgraph_matcher] Enable regex matching for string attributes of node (#39454) 2020-06-05 23:03:38 -07:00
test_subgraph_rewriter.cpp
test_subgraph_utils.cpp
test_utils.cpp
test_utils.h
tests.h Add type-hint check for default arguments in TorchScript C++ frontend (#39021) 2020-05-28 01:42:04 -07:00
tests_setup.py
torch_python_test.cpp

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:

  1. With gtest, from a standalone binary.
  2. With Python, from TestJit.test_cpp and TestJit.test_cpp_cuda (in test/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.

  1. With gtest:
    # (re)build the test binary
    ninja build/bin/test_jit
    # run
    build/bin/test_jit --gtest_filter='glob_style_filter*'
    
  2. With Python:
    python test/test_jit.py TestJit.test_cpp TestJit.test_cpp_cuda