mirror of https://github.com/saymrwulf/pytorch.git synced 2026-05-15 21:00:47 +00:00

History

Han Qi (qihqi) 3822a472ef Python function to extract information on mobile::Module from flatbuffer (#77624 ) Summary: Includes following refactor: 1. common loading on operator validation that is dup'd in pickle and flatbuffer loader moved to function.h/cpp 2. Allow loading of a function without wiring operator. This function will be used to implement get_bundled_input and friends for flatbuffer. Test Plan: contbuild & OSS CI, see `69fa49f123` Reviewed By: cccclai Differential Revision: D36348549 Pull Request resolved: https://github.com/pytorch/pytorch/pull/77624 Approved by: https://github.com/cccclai		2022-05-18 00:42:57 +00:00
..
upgrader_models
__init__.py
CMakeLists.txt
README.md	port all JIT tests to gtest (#45264 )	2020-09-25 11:37:43 -07:00
script_module_v4.ptl
script_module_v5.ptl
script_module_v6.ptl
source_range_test.cpp
test_add_if_then_else.cpp
test_alias_analysis.cpp
test_argument_spec.cpp
test_autodiff.cpp
test_backend.cpp
test_backend_compiler_lib.cpp
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	[Bootcamp]Add option for flatbuffer loader to copy memory to individual tensors (#76986 )	2022-05-09 17:29:30 +00:00
test_fuser.cpp	[NVFuser] prep for on-by-default	2022-05-06 18:18:53 +00:00
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	Python function to extract information on mobile::Module from flatbuffer (#77624 )	2022-05-18 00:42:57 +00:00
test_lite_interpreter_direct.cpp
test_lite_trainer.cpp
test_load_upgraders.cpp
test_memory_dag.cpp
test_misc.cpp	Make SymInt constructor explicit	2022-05-17 22:28:35 +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
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
tests_setup.py
torch_python_test.cpp

README.md

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*'