* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of ExperimentalDetectronPriorGridGenerator
* implement actual_comparision_size for compare
* update slt for actual comparison size and add visitor api test
* fixed clang error
* 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
* Switch to GNA Lib 3.0.0.1455, Adapt to new GNA 3.0 (ADL) limitations
Apply limitations for GNA 3.0 CNN2D as in 22013786746
Add new CNN2D tests for GNA 3.0 and update negative tests
Switch download of 1455 to 01.org
Fix weight reducer
* Apply review
Increase max kernel number to 1024
Update negative test
* 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
* initial solution
* changed namespaces from ngraph -> ov; completed unit-tests
* added Power with negative exponent into the pattern
* division to -> division by; aligned with OV new folder structure; some minor corrections
* corrected pattern
* changed get_pattern_value_map -> get_pattern_map
* Initial version (no tests)
* Added tests
* Fix centos
* Applied review comments
* Renamed 'ov::util::get_batch_size' to 'ov::pass::get_batch'. For set_batch_size update is the same
* Changed to ov::get_batch and ov::set_batch
In case of partially-dynamic shape, e.g. {?,3,?,?} shape inference
for gathering channels and reverse operations can't infer final shape to {?,3,?,?} and it becomes {?,?,?,?}
Added 'static' version of reverse-channels to preserve output shape for such cases
It can be changed in future if operations will be able to calculate shape on 'validate' phase
* Preprocessing API - base classes
Includes API definition for trivial mean/scale operations (which don't require layout)
Mean/scale with 'layout' support will be done under separate task together
with Layout
Current test code coverage: 100%
* Python bindings for base preprocessing API
* remove pre_post_process directory from ngraph/core
* remove files from ngraph/python dir
* move pyngraph pre_post_process files from ngraph/python to runtime
* remove pre_post_process test from CMakeList
* move include to the header
* update include path for pre_post_process
* style fix
* bind InputTensorInfo::set_layout
* cleaned test_preprocess
* fix test expected output
* remove duplicate test
* update description of set_element_type
* fix style
* move preprocess from pyngraph to pyopenvino/graph
* update test_preprocess imports and remove unnecessary test
* remove duplicate import
* update custom method
* update test
* update test
* create decorator that changes Node into Output<Node>
* create function that cast Node to Output<Node>
* update test_preprocess to use decorator for custom function
* change _cast_to_output -> _from_node
* move frontend folder to pyopenvino
* rename includes and add compile options
* include frontend to pyopenvino
* move __init__.py
* move tests
* remove mock from tests_compatibility
* rename import module
* Fix code style cpp
* refactor a few lines
* style fix
* update few lines in mo
* add tests fro scale and mean with vector input
* style fix
* add docstring for custom_preprocess_function
* bind InputInfo network method
* style fix
* Add pyopenvino to dependencies
* bind OutputInfo
* fix description of preprocess submodule
* fix style
* update copyright year
* Fix mock
* update docstring
* bind OutputTensorInfo
* bind OutputNetworkInfo and InputNetworkInfo
* bind ColorFormat and ResizeAlgorithm
* clean imports
* fix typo
* add PostProcessSteps to init
* bind PreProcessSteps
* create additional tests
* Fix mo test
* remove module local
* fix code style
* update comment
* fix return type
* update docs
* fix code style
* change ngraph.Type to ov.Type
* fix typo
* move _from_node to node_output.hpp
* add read_model from buffer
* update imports
* add new line
* remove bad quotes
* update imports
* style fix
* add new line
* rename functin args
* remove Type import
* update tests
* style fix
* test clean
* remove blank line
* update PrePostProcessor init and build methods
* create test with model update tests with new PrePostProcessor init and build
* # Conflicts:
# inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api.pyx
# inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.cpp
# inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.hpp
# inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl_defs.pxd
# inference-engine/tests/ie_test_utils/common_test_utils/ngraph_test_utils.cpp
# inference-engine/tests/ie_test_utils/common_test_utils/ngraph_test_utils.hpp
# model-optimizer/mo/moc_frontend/serialize.py
# thirdparty/gflags/gflags
# thirdparty/gtest/gtest
* Stash
* move preprocess module from openvino.impl to openvino
* fix building
* fix code style
* try to move MO to use new api
* Intermediate commit
* try to move MO to use new api
* Test pybind11 custom holder for Preprocessing types (InputInfo and PreProcessingSteps)
* Initial code for source_target layout handling for preprocessing
Initial implementation of reverse input channels
* Use input's tensor names instead of friendly names
* Skeleton for guessing layouts and clearing it after preprocessing
* updated package_BOM.txt
* Use reference_wrapper for preprocess bindings
* Update tests
* Layout::find_permutation - support of dynamic layouts
Covered case for 'trivial convert' where no permutation is needed
It is needed for Model Optimizer for logic which will guess model's layout, like "?c??"
* Stash
* add bindings to I420_SINGLE_PLANE and I420_THREE_PLANES
* remove init from all classes except PrePostProcessor and add RGBX and BGRX to ColorFormat enum
* Guess layout so that existing mean/scale tests passed
* update test name
* Draft to guess layout for 'reverse_input_channels'
* More unit tests (error cases)
* pylint & flake8
* pylint - ignore import error
* Stash
* Moved preprocessing to 'back' folder
* More tests
* Update package_BOM
* Support layout_values with no names
Support layout set for 'outputs'
Tests
* Export more enum names from nrgaph
* Basic --layout parsing
* removed debug prints
* Further updates after rebase
* Update imports
* Removed part from 8829
* Fix imports in test code
* Minor cosmetics
* Don't guess 'C' if layout is already set by model
Expose 'Layout::empty' method
* Style fix
* Apply review comments
Restricted 'heuristics'
C++: Added 'fp16', 'fp64' support to mean/scale
* Applied review comments
* Added some dynamic test cases
* Move call of 'apply_preprocessing' to 'serialize.py'
* Unnecessary change
* Added more comments to code
Co-authored-by: pszmel <piotr.szmelczynski@intel.com>
Co-authored-by: Alexey Lebedev <alexey.lebedev@intel.com>
Co-authored-by: bszmelcz <bartosz.szmelczynski@intel.com>
Co-authored-by: Anastasia Kuporosova <anastasia.kuporosova@intel.com>
Co-authored-by: y <ilya.lavrenov@intel.com>
Co-authored-by: Vafin, Maxim <maxim.vafin@intel.com>
* Fix for bfyx conv performance issue.
PR 6399 was for wide palne + shallow featuremap cases.
If the plane is too small so that the increased computation due toe the alignment for block_size is relatively large, performance drops.
* Fix for bfyx conv performance issue. Use subgroup size 16 when output feature size is >= 8 instead of > 8
* Set bfyx convolution subgroup size to be 16 when output_feature size is 8 and the dtype is fp16
