pytorch/test/cpp/jit
David Berard 91a2e953e5 [JIT] Use signed integers in CalculatedNecessaryArgs
x was underflowing:
```
size_t x = ...
while (x >= 0) {
  x--;
}
```

Changed the variables to ssize_t.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/79331

Approved by: https://github.com/yuhc, https://github.com/tugsbayasgalan
2022-06-13 19:41:18 +00:00
..
upgrader_models Add upgrader related logic to flatbuffer (#71451) 2022-04-17 18:51:23 +00:00
__init__.py
CMakeLists.txt Link BLAS privately (#78883) 2022-06-09 17:02:06 +00:00
README.md
script_module_v4.ptl
script_module_v5.ptl
script_module_v6.ptl
source_range_test.cpp Reland "Make debug_pkl smaller by only emitting unique traces." (#73368) 2022-04-18 22:34:21 +00:00
test_add_if_then_else.cpp
test_alias_analysis.cpp Make string serialization of C++ FunctionSchema consistent with torchgen.model.FunctionSchema 2022-05-24 19:39:26 +00:00
test_argument_spec.cpp
test_autodiff.cpp
test_backend.cpp Reland "Make debug_pkl smaller by only emitting unique traces." (#73368) 2022-04-18 22:34:21 +00:00
test_backend_compiler_lib.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_backend_compiler_preprocess.cpp
test_backend_lib.cpp
test_class_import.cpp
test_class_parser.cpp
test_class_type.cpp
test_cleanup_passes.cpp
test_code_template.cpp
test_concat_opt.cpp
test_constant_pooling.cpp
test_create_autodiff_subgraphs.cpp
test_cs_debug_info_serialization.cpp
test_custom_class.cpp
test_custom_class_registrations.cpp
test_custom_class_registrations.h
test_custom_operators.cpp
test_dce.cpp
test_exception.cpp
test_file_format.cpp
test_flatbuffer.cpp Revert "Fix bug in flatbuffer deserialization" 2022-05-31 23:34:04 +00:00
test_fuser.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_graph_executor.cpp
test_graph_iterator.cpp Fix sign-compare violations in cpp tests 2022-04-04 23:05:31 +00:00
test_inliner.cpp
test_interface.cpp
test_interpreter.cpp
test_interpreter_async.pt
test_ir.cpp
test_irparser.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_jit_logging_levels.cpp
test_jit_type.cpp
test_lite_interpreter.cpp turn on -Werror=unused-variable in our Bazel CPU build 2022-06-11 02:46:34 +00:00
test_lite_interpreter_direct.cpp
test_lite_trainer.cpp turn on -Werror=type-limits in our Bazel CPU build 2022-06-10 10:04:08 +00:00
test_load_upgraders.cpp
test_memory_dag.cpp
test_misc.cpp Put symint overloads on a different name 2022-06-12 14:36:39 +00:00
test_mobile_type_parser.cpp
test_module_api.cpp
test_op_replacement.cpp
test_peephole_optimize.cpp
test_qualified_name.cpp
test_save_load.cpp [JIT] Use signed integers in CalculatedNecessaryArgs 2022-06-13 19:41:18 +00:00
test_schema_matching.cpp
test_script_profile.cpp
test_shape_analysis.cpp Adding support for upper and lower bound functions in SSA 2022-05-20 23:58:40 +00:00
test_stack_opt.cpp
test_subgraph_matcher.cpp
test_subgraph_rewriter.cpp
test_subgraph_utils.cpp
test_union.cpp
test_upgrader_utils.cpp
test_utils.cpp
test_utils.h Reland "Make debug_pkl smaller by only emitting unique traces." (#73368) 2022-04-18 22:34:21 +00:00
tests_setup.py
torch_python_test.cpp turn on -Werror=unused-function in our Bazel CPU build 2022-06-10 22:11:54 +00:00

JIT C++ Tests

Adding 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.

In general a single test suite

Add your test file to the JIT_TEST_SRCS list in test/cpp/jit/CMakeLists.txt.

A test file may look like:

#include <gtest/gtest.h>

using namespace ::torch::jit

TEST(FooTest, BarBaz) {
   // ...
}

// Append '_CUDA' to the test case name will automatically filter it out if CUDA
// is not compiled.
TEST(FooTest, NeedsAGpu_CUDA) {
   // ...
}

// Similarly, if only one GPU is detected, tests with `_MultiCUDA` at the end
// will not be run.
TEST(FooTest, NeedsMultipleGpus_MultiCUDA) {
   // ...
}

Building and running the tests

The following commands assume you are in PyTorch root.

# ... Build PyTorch from source, e.g.
python setup.py develop
# (re)build just the binary
ninja -C build bin/test_jit
# run tests
build/bin/test_jit --gtest_filter='glob_style_filter*'