pytorch/test/cpp/jit
Ivan Yashchuk 0d203a16fe Add relative and absolute tolerances for matrix_rank, pinv (#63102)
Summary:
This pull request introduces new keyword arguments for `torch.linalg.matrix_rank` and `torch.linalg.pinv`: `atol` and `rtol`.

Currently, only tensor overload has default values for either `atol` or `rtol`, the float overload requires both arguments to be specified.

FC compatibility: https://github.com/pytorch/pytorch/pull/63102#discussion_r710930509

Fixes https://github.com/pytorch/pytorch/issues/54151. Fixes https://github.com/pytorch/pytorch/issues/66618.

cc jianyuh nikitaved pearu mruberry walterddr IvanYashchuk xwang233 Lezcano

Pull Request resolved: https://github.com/pytorch/pytorch/pull/63102

Reviewed By: H-Huang

Differential Revision: D31641456

Pulled By: mruberry

fbshipit-source-id: 4c765508ab1657730703e42975fc8c0d0a60eb7c
2021-10-17 22:15:42 -07:00
..
__init__.py
CMakeLists.txt Back out "Revert D30710710: [Pytorch Edge] Support profiling kineto events from external source" (#66421) 2021-10-12 10:55:29 -07:00
README.md
script_module_v4.ptl
script_module_v5.ptl
script_module_v6.ptl
test_alias_analysis.cpp [JIT] Selectively enable precise alias analysis for TupleConstruct (#66025) 2021-10-01 20:42:22 -07:00
test_argument_spec.cpp
test_autodiff.cpp
test_backend.cpp [PyTorch] Add tuple inline storage (#64066) 2021-10-15 12:16:51 -07:00
test_backend_compiler_lib.cpp Back out "Revert D30710710: [Pytorch Edge] Support profiling kineto events from external source" (#66421) 2021-10-12 10:55:29 -07:00
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 [JIT] Move UseVariadicCat internals (#63577) 2021-08-23 17:30:36 -07:00
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 [jit] Reduce refcounting of Types (#65345) 2021-10-08 09:03:04 -07:00
test_dce.cpp
test_fuser.cpp
test_gpu.cpp Revert "Revert D30752939: [pytorch][PR] nvfuser update" (#65137) 2021-09-22 04:54:51 -07:00
test_gpu_shift.cpp Revert "Revert D30752939: [pytorch][PR] nvfuser update" (#65137) 2021-09-22 04:54:51 -07:00
test_gpu_validator.h Revert "Revert D30752939: [pytorch][PR] nvfuser update" (#65137) 2021-09-22 04:54:51 -07:00
test_graph_executor.cpp
test_graph_iterator.cpp
test_inliner.cpp
test_interface.cpp
test_interpreter.cpp [PyTorch Edge] Backport function for defaults args with out args, flag on (#63651) 2021-09-20 22:50:30 -07:00
test_interpreter_async.pt
test_ir.cpp
test_irparser.cpp [jit] Reduce refcounting of Types (#65345) 2021-10-08 09:03:04 -07:00
test_jit_logging_levels.cpp Added jit log stream changing function and some refactor (#65768) 2021-09-30 23:25:11 -07:00
test_jit_type.cpp [jit] Reduce refcounting of Types (#65345) 2021-10-08 09:03:04 -07:00
test_lite_interpreter.cpp Add relative and absolute tolerances for matrix_rank, pinv (#63102) 2021-10-17 22:15:42 -07:00
test_lite_trainer.cpp
test_memory_dag.cpp
test_misc.cpp [jit] Reduce refcounting of Types (#65345) 2021-10-08 09:03:04 -07:00
test_mobile_type_parser.cpp
test_module_api.cpp
test_peephole_optimize.cpp
test_qualified_name.cpp
test_save_load.cpp [PyTorch] Add tuple inline storage (#64066) 2021-10-15 12:16:51 -07:00
test_schema_matching.cpp [jit] Make operation call accept Stack& instead Stack* (#63414) 2021-08-30 11:49:20 -07:00
test_script_profile.cpp
test_stack_opt.cpp [JIT] Add variadic stack op (#63578) 2021-08-24 08:20:54 -07:00
test_subgraph_matcher.cpp
test_subgraph_rewriter.cpp keep output type after calling SubgraphRewriter (#65453) 2021-09-24 11:07:40 -07:00
test_subgraph_utils.cpp
test_union.cpp [jit] Reduce refcounting of Types (#65345) 2021-10-08 09:03:04 -07:00
test_utils.cpp [jit] Make operation call accept Stack& instead Stack* (#63414) 2021-08-30 11:49:20 -07:00
test_utils.h Enhancement for smart serialization for out schemas (#63096) 2021-08-28 11:46:27 -07:00
tests_setup.py Revert D30279364: [codemod][lint][fbcode/c*] Enable BLACK by default 2021-08-12 11:45:01 -07:00
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*'