pytorch/test/cpp/jit
jjsjann123 873ced7cd0 Nvfuser code bump 030122 (#73627)
Summary:
Things changed in this PR that requires review:

test/forward_backward_compatibility/check_forward_backward_compatibility.py

Our previous function overload extension names were wrong and has been updated in this PR, hence the compatibility list updated.

nvfuser code updates with bug fixes towards failures we encountered in OpInfoTests as well as failures reported by AOTAutograd team.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/73627

Reviewed By: Chillee

Differential Revision: D34765458

Pulled By: davidberard98

fbshipit-source-id: c81f3d6a1b723fb3a8ba419b7f82227f70440ca7
(cherry picked from commit b6a2c362c37051e44fac31687b2fe272f776551e)
2022-03-31 08:18:22 +00:00
..
upgrader_models
__init__.py
CMakeLists.txt Nvfuser code bump 030122 (#73627) 2022-03-31 08:18:22 +00:00
README.md
script_module_v4.ptl
script_module_v5.ptl
script_module_v6.ptl
test_add_if_then_else.cpp
test_alias_analysis.cpp
test_argument_spec.cpp
test_autodiff.cpp Clean up profiling mode and profiling executor strategy (#73875) 2022-03-29 18:38:51 +00:00
test_backend.cpp Revert D34455360: Multisect successfully blamed D34455360 for test failures 2022-03-08 23:18:54 +00:00
test_backend_compiler_lib.cpp [Pytorch Edge] Lean Runtime Test 2022-02-24 18:40:47 +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 [PyTorchEdge] Add getFileFormat() so we can differentiate Zip/Pickle from Flatbuffer (#73707) 2022-03-04 19:35:41 +00:00
test_flatbuffer.cpp Back out "Revert D34805092: Extend _save_for_mobile and _load_for_mobile to support flatbuffer format; Default format is pickle + Change buck targets to support only pickle and pickle + flatbuffer for migration" (#74594) 2022-03-24 21:51:05 +00:00
test_fuser.cpp
test_graph_executor.cpp
test_graph_iterator.cpp
test_inliner.cpp
test_interface.cpp
test_interpreter.cpp
test_interpreter_async.pt
test_ir.cpp
test_irparser.cpp
test_jit_logging_levels.cpp
test_jit_type.cpp
test_lite_interpreter.cpp Back out "Revert D34805092: Extend _save_for_mobile and _load_for_mobile to support flatbuffer format; Default format is pickle + Change buck targets to support only pickle and pickle + flatbuffer for migration" (#74594) 2022-03-24 21:51:05 +00:00
test_lite_interpreter_direct.cpp
test_lite_trainer.cpp [PyTorchEdge] Make _load_parameters() handle flatbuffer inputs (#74580) 2022-03-30 20:39:58 +00:00
test_load_upgraders.cpp
test_memory_dag.cpp
test_misc.cpp Add comments for adding shape function and linting (#73570) 2022-03-31 04:25:43 +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 Create method to map JIT module to (source, constant) and back. (#74119) 2022-03-15 18:30:08 +00:00
test_schema_matching.cpp
test_script_profile.cpp
test_shape_analysis.cpp
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 Revert D34455360: Multisect successfully blamed D34455360 for test failures 2022-03-08 23:18:54 +00:00
tests_setup.py
torch_python_test.cpp

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*'