pytorch/test/cpp/jit
Chen Lai fb9a32b7b4 [PyTorch][Edge] Add api to get bytecode model version (#56801)
Summary:
Add an api `_get_bytecode_version` to get version number given a bytecode model in both cxx and python, and the input can be both from file path and buffer.
## Test
CI (new added unit test will run as part of `pytorch_core-buck`)

1. run test_lite_interpreter.cpp
2. `python test/mobile/test_bytecode.py`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/56801

ghstack-source-id: 128169647

Test Plan:
CI (new added unit test will run as part of `pytorch_core-buck`)

1. run test_lite_interpreter.cpp
2. `python test/mobile/test_bytecode.py`

Reviewed By: iseeyuan

Differential Revision: D27961417

fbshipit-source-id: f786cc9573d855feecff0b4fe8e5363e25f5728c
2021-05-05 09:17:26 -07:00
..
__init__.py
CMakeLists.txt [Pytorch, Mobile] Serialize inlined callstack pointer with debug handle. (#55062) 2021-05-04 09:21:12 -07:00
README.md
script_module_v4.ptl [PyTorch][Edge] Add binarires for unittests (#57039) 2021-04-27 20:46:34 -07:00
script_module_v5.ptl [PyTorch][Edge] Add binarires for unittests (#57039) 2021-04-27 20:46:34 -07:00
test_alias_analysis.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_argument_spec.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_autodiff.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_backend.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_backend_compiler_lib.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_backend_compiler_preprocess.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_backend_lib.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_class_import.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_class_parser.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_class_type.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_cleanup_passes.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_code_template.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_constant_pooling.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_create_autodiff_subgraphs.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_cs_debug_info_serialization.cpp [Pytorch, Mobile] Serialize inlined callstack pointer with debug handle. (#55062) 2021-05-04 09:21:12 -07:00
test_custom_class.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_custom_class_registrations.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_custom_class_registrations.h
test_custom_operators.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_dce.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_fuser.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_gpu.cpp
test_graph_executor.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_inliner.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_interface.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_interpreter.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_interpreter_async.pt
test_ir.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_irparser.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_jit_type.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_lite_interpreter.cpp [PyTorch][Edge] Add api to get bytecode model version (#56801) 2021-05-05 09:17:26 -07:00
test_lite_trainer.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_memory_dag.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_misc.cpp [Inlined Callstack Fix] Fix inlined callstack for blocks of the node. (#56562) 2021-05-04 09:21:15 -07:00
test_mobile_type_parser.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_module_api.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_peephole_optimize.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_qualified_name.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_save_load.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_schema_matching.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_subgraph_matcher.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_subgraph_rewriter.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_subgraph_utils.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00
test_utils.cpp [AutoAccept][Codemod][FBSourceClangFormatLinter] Daily arc lint --take CLANGFORMAT 2021-04-29 04:12:25 -07:00
test_utils.h Enable forward/backward compatibility in TS mobile (#56079) 2021-04-23 16:55:18 -07:00
tests_setup.py Merge CUDA Streams and Events (#53902) 2021-04-05 08:19:55 -07:00
torch_python_test.cpp Make PyTorch code-base clang-tidy compliant (#56892) 2021-04-28 14:10:25 -07:00

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*'