* Remove some legacy targets
* Replace some targets
* Removed inference_engine_plugin_api dependency
* Minor comment for developer config
* Fixed include paths
* Small fixes for static build
* Try to fix build pyopenvino
* Fixed comments
* Try to fix build
* Include OpenVINODeveloperPackage inside InferenceEngineDeveloperPackageConfig
* Try to fix GAPI tests
* add performance hint to time infer
* Update time tests with options
* fix mistake in help
* update test conf with GPU models
* move ie configs from load plugin timer
* Refactor ONNX,IR,Common FrontEnds
* Rename frontends dir to frontend
* Rename frontend_manager, frontend_defs -> manager, defs; move Place, InputModel to src for Paddle FE
* remove exports for ir/input_model
* fix unit tests
* Fix unit tests
* revert ONNX_API/IR_API defines
* move manager.hpp to frontend dir
* delete common folder; rename defs to visibility; fix includes
* revert local changes
* codestyle
* fix build: set correct includes
* fix includes
* fix build; resolve review comments
* fix install paths
* correct installation folder for onnx_import
* use IE_THROW in ir frontend
* ov2.0 IE samples modification
apply code style
turn off clang style check for headers order
unify samples a bit
add yuv nv12 reader to format_reader, helloe_nv112 sample
hello_reshape_ssd ov2.0
* sync with PR 8629 preprocessing api changes
* fix for slog << vector<int>
* add operator<< for ov::Version from PR-8687
* Update samples/cpp/hello_nv12_input_classification/main.cpp
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
* apply code style
* change according to review comments
* add const qualifier
* apply code style
* std::ostream for old inference engine version to make VPU plugin tests happy
* apply code style
* revert changes in print version for old api samples
* keep inference_engine.hpp for not ov2.0 yet samples
* fix merge artifacts
* fix compilation
* apply code style
* Fixed classification sample test
* Revert changes in hello_reshape_ssd sample
* rebase to master, sync with PR-9054
* fix issues found by C++ tests
* rebased and sync with PR-9051
* fix test result parsers for classification tests (except unicode one)
* fix mismatches after merge
* rebase and sync with PR-9144
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
Co-authored-by: antonrom23 <anton.romanov@intel.com>
* OV2.0 API C++ hello_reashe_ssd sample
* clean header
* fix test for changed sample cmd line
* adopt to PR-8898
* sync with PR-9054, simplify code
* apply code_style.diff
* sync with PR-9051
* Renamed ov::Function to ov::Model
* Fixed all for macos
* Fixed build
* Fixed build
* Revert changes in GPU plugin
* Fixed ngraphFunctions
* Fixed all for mac
* Fixed new test
* Fixed if for Windows
* Fixed unit tests and renamed Function in python API
* Fixed code style
* Fixed import
* Fixed conflict
* Fixed merge issues
* add performance hint to time infer
* add options for vpu, cpu cache, perf hint
* change VPUX condition
* add perf hint verify
* upd perf hint usage. set as non required
* Moved and merged mo/ and extensions/ into openvino/tools/mo
* edited imports
* edited docs to use mo script from entry_point
* edited MO transformations list loading and setup.py
* changed full path -> 'mo' entry point in docs (leftovers)
* corrected package_BOM
* updated resolving --transformation_config in cli_parser.py
* pkgutil-style __init__.py, added summarize_graph into entry points
* updated DOCs for the new --transformations_config
* fix select
* updated install instructions, fixed setup.py for windows and python_version < 3.8
* fixed typo in requirements.txt
* resolved conflicts
* removed creating custom __init__.py from setup.py
* corrected folder with caffe proto
* corrected loading user defined extensions
* fix openvino.tools.mo import in serialize.py
* corrected layer tests for new namespace
* fix in get_testdata.py
* moved model-optimizer into tools/
* renamed import in POT
* corrected mo.yml
* correct CMakeLists.txt for the newest tools/mo
* corrected find_ie_version.py
* docs and openvino-dev setup.py update for the newest tools/mo
* miscellaneous leftovers and fixes
* corrected CI files, pybind11_add_module in CMakeLists.txt and use of tools/mo path instead of tools/model_optimizer
* add_subdirectory pybind11 for tools/mo
* POT path fix
* updated setupvars.sh setupvars.bat
* Revert "updated setupvars.sh setupvars.bat"
This reverts commit c011142340.
* removed model-optimizer env variables from setupvars
* updated CMakeLists.txt to pack MO properly with tests component
* corrected left imports, corrected loading requirements for layer tests
* mo doc typo correction
* minor corrections in docs; removed summarize_graph from entry_points
* get_started_windows.md, MonoDepth_how_to.md corrections, mo path corrections
* add subgraph instead of constant with fixed shape to allow model have undefined batch
* updated transformation (not checked yet)
* changed ReverseV2ToReverseSequence to support dynamic shapes/reshape;
added transformation to reverse_tensor_iterator to support new subgraph got from ReverseV2ToReverseSequence
* remove changes that should not be on this branch
* added tests;
fixed old transformation
* added delete of reversesequences to avoid run of transformation twice
* fixed pattern check for case with dynamic value for input of reversesequence
* Revert "fixed pattern check for case with dynamic value for input of reversesequence"
This reverts commit 0c04164e
* Revert "added delete of reversesequences to avoid run of transformation twice"
This reverts commit fcb7de9c
* reversed changes in reverse_tensorr_iterator for Squeeze case;
update reverse_tensor_iterator with shapeof subgraph
added permutations for attributes to pass layer test
* minor fix for dynamic shape
* updated test;
fixed backward compatibility in reverse_tensor_iterator transformation
* revew comments fixed:
added comments;
refactoring done;
fixed framework name saving for rank = 1
* minor review fixes
* small fix
* Use ninja multu-config
* Reused OV_GENERATOR_MULTI_CONFIG
* Try to use config in api_validator post build task
* Fixes
* Revert "[GPU] Fix multi configuration build of onednn_gpu (#8743)"
This reverts commit a862331732.
* Propogate disable deprecated for _RELEASE flags as well
* Added samples smoke tests
Added implementation into azure pipeline
Update copyrights
Added python path
Update common part
modify windows.yml
* resolve conflicts
* New redesign of samples_smoke_tests including adding CMakeLists in order to install smoke tests on system, getting of smoke_tests_data archive
* fixed windows.yaml
* added checking path of samples
* changed path to INSTALL_DIR
* Fixed windows.yml file
* changed IE_APP_PATH
* Updated readme file for smoke tests
* Disable run tests on linux static build
* skipped test with related issue 71298
* change after review
Co-authored-by: Maxim Gordeev <maxim.gordeev@intel.com>
* Changed namespace from ngraph to ov for OV Frontends
* Fixed python
* Fixed ONNX Editor for windows
* Try to fix centos
* Fixed code style
* Revert frontend loader
* MO update for MaxPool-8
* using attrs in op constructor
* remove pads_value attr and pad fusing
* added axis and index_element_type parameters
* updated mo maxpool-8
* added maxpool-8->maxpool-1 transformation, disabled Pad to MaxPool fusing
* added remove_values_output to pooling extractors
* moved remove_values_output attribute to pooling infer function
* fixed ir_comparator tests
* disabled pad to maxpool fusing test
* added downgrade transformation test
* downgrade transformation update
* updated ir reader and tf pooling layer tests
* updated onnx pooling layer tests and MO infer unit test
* updated ir reader extender
* uncommented layer tests code
* disabled MaxPool-8 python binding test
* comment resolving, removed PadMaxPool fusing
* removed test
* downgrade transformation fix, MO codestyle changes
* removed axis check from downgrade transformation
* mark max_pool_test as xfail
* updated downgrade transformation test
* using OPENVINO_RTTI
* Added transposes insertion for Parameter and Result.
* Separated into several transformations.
* Corrected runtime_info format.
* Fixed runtime info serialization.
* Code refactoring.
* Corrected checks.
* Added debug output.
* Added check.
* Fixed unit tests.
* Changed old api map format, removed debug output.
* Moved serialize to rt_info property, code corrections.
* Refactored RTInfo class.
* Small corrections.
* Small corrections.
* Removed redurant import.
* Added tests, added undefined default type.
* Code reformat.
* Fixed serialization unit tests.
* Added comment.
* Added comment.
* Small test correction.
* Changed default values of old_api_map to values from old API IR.
* np.array -> int64_array
* Update MO to use FE to read IR; Swith MO IR version to 11
* Preserve output node name when inserting Transpose
* Codestyle
* Fix layer tests
* Pylint fix
* Disable ref_graphs comparision in layer tests
* codestyle
* Updated MO IR reader.
* Moved version initialization to constructor of OldApiMap.
* Added shape infer after transpose insertion.
* Fixed Pylint
* Removed wrong attribute removal.
* Added transposes insertion for Parameter and Result.
* Separated into several transformations.
* Corrected runtime_info format.
* Fixed runtime info serialization.
* Code refactoring.
* Corrected checks.
* Added debug output.
* Added check.
* Fixed unit tests.
* Changed old api map format, removed debug output.
* Moved serialize to rt_info property, code corrections.
* Refactored RTInfo class.
* Small corrections.
* Small corrections.
* Removed redurant import.
* Added tests, added undefined default type.
* Code reformat.
* Fixed serialization unit tests.
* Added comment.
* Added comment.
* Small test correction.
* Changed default values of old_api_map to values from old API IR.
* np.array -> int64_array
* Update MO to use FE to read IR; Swith MO IR version to 11
* Preserve output node name when inserting Transpose
* Codestyle
* Fix layer tests
* Pylint fix
* Disable ref_graphs comparision in layer tests
* codestyle
* Updated MO IR reader.
* Moved version initialization to constructor of OldApiMap.
* Added shape infer after transpose insertion.
* Fixed Pylint
* Removed wrong attribute removal.
* Serialize fix.
Co-authored-by: Gleb Kazantaev <gleb.kazantaev@intel.com>
* add "" for windows in cmd line
* requirements test
* requirements test
* add requests in requirements
* add scipy in requirements
* add executable python for prepare models
* remove extra requirements
* add window for supported in memcheck tests
* add scipy in requirements
* change check of product_type
* add return for windows
* change form of return arg in run_memcheck
* change form of return arg in run_memcheck
* remove windows check
* change return format
* remove empty line
* change downloader_path
