* Legacy library is static
* Don't export symbols from legacy
* LEgacy only for cnn_network_ngraph_impl.cpp
* Removed Windows specific functions calls
* Use static_cast
* Fixed Windows
* Removed legacy library to DM configs
* 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
* Added ShuffleChannels operation into OpVersioning.opset_1_types set.
* Fixed the attribute 'version' of the MO operation ShuffleChannels.
* Reverted opset change for the operation ShuffleChannels.
* fix iteration count calculation for output record for case of negative start/end and non integer division
* added tests;
process case with both start/end
* test refactoring done
* 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
* Update model compression pass and FQ values precision
* Pylint fixes
* Fix for case with 2 or more destinations
* Update pass.py from suggestion
Co-authored-by: Anton Chetverikov <Anton.Chetverikov@intel.com>
* Update with the const condition
* Update ref
* Revert ref and update data_type for FQ consts
Co-authored-by: Anton Chetverikov <Anton.Chetverikov@intel.com>
* Renamed plugin
* Changed plugin source dir
* Fixed tests
* Renamed ENABLE_GNA to ENABLE_INTEL_GNA
* Fixed centos compile error
* One more renaming place
* HF for centos 7
* renamed the name in version api
* Fixed CI configurations
* Disabled GNA plugin for old gcc (<=5.4)
* Fixed Azure Win job
* 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
* style fix
* add tests fro scale and mean with vector input
* style fix
* add docstring for custom_preprocess_function
* bind InputInfo network method
* style fix
* bind OutputInfo
* fix description of preprocess submodule
* fix style
* update copyright year
* bind OutputTensorInfo
* bind OutputNetworkInfo and InputNetworkInfo
* Bind exec core ov (#50)
* Output const node python tests (#52)
* add python bindings tests for Output<const ov::None>
* add proper tests
* add new line
* rename ie_version to version
* Pszmel/bind infer request (#51)
* remove set_batch, get_blob and set_blob
* update InferRequest class
* change InferenceEngine::InferRequest to ov::runtime::InferRequest
* update set_callback body
* update bindings to reflect ov::runtime::InferRequest
* bind set_input_tensor and get_input_tensor
* style fix
* clen ie_infer_queue.cpp
* Bind exec core ov (#50)
* bind core, exec_net classes
* rm unused function
* add new line
* rename ie_infer_request -> infer_request
* update imports
* update __init__.py
* update ie_api.py
* Replace old containers with the new one
* create impl for create_infer_request
* comment out infer_queue to avoid errors with old infer_request
* update infer_request bind to reflect new infer_request api
* comment out inpuit_info from ie_network to avoid errors with old containers
* Register new containers and comment out InferQueue
* update infer request tests
* style fix
* remove unused imports
* remove unused imports and 2 methods
* add tests to cover all new methods from infer_request
* style fix
* add test
* remove registration of InferResults
* update name of exception_ptr parameter
* update the loops that iterate through inputs and outputs
* clean setCustomCallbacks
* style fix
* add Tensor import
* style fix
* update infer and normalize_inputs
* style fix
* rename startTime and endTime
* Create test for mixed keys as infer arguments
* update infer function
* update return type of infer
Co-authored-by: Bartek Szmelczynski <bartosz.szmelczynski@intel.com>
* fix get_version
* fix opaque issue
* some cosmetic changes
* fix codestyle in tests
* make tests green
* Extend python InferRequest
* Extend python Function
* Change return value of infer call
* Fix missing precisions conversions in CPU plugin
* Rework of runtime for new tests
* Fixed onnx reading in python tests
* Edit compatibility tests
* Edit tests
* Add FLOAT_LIKE xfails
* bind ColorFormat and ResizeAlgorithm
* clean imports
* fix typo
* [Python API] bind ProfilingInfo (#55)
* bind ProfilingInfo
* Add tests
* Fix code style
* Add property
* fix codestyle
* Infer new request method (#56)
* fix conflicts, add infer_new_request function
* remove redundant functions, fix style
* revert the unwanted changes
* revert removal of the Blob
* revert removal of isTblob
* add add_extension from path
* codestyle
* add PostProcessSteps to init
* bind PreProcessSteps
* create additional tests
* fix win build
* add inputs-outputs to function
* update infer queue
* fix code style
* Hot-fix CPU plugin with precision
* fix start_async
* add performance hint to time infer (#8480)
* Updated common migration pipeline (#8176)
* Updated common migration pipeline
* Fixed merge issue
* Added new model and extended example
* Fixed typo
* Added v10-v11 comparison
* Avoid redundant graph nodes scans (#8415)
* Refactor work with env variables (#8208)
* del MO_ROOT
* del MO_ROOT from common_utils.py
* add MO_PATH to common_utils.py
* change mo_path
* [IE Sample Scripts] Use cmake to build samples (#8442)
* Use cmake to build samples
* Add the option to set custom build output folder
* Remove opset8 from compatibility ngraph python API (#8452)
* [GPU] OneDNN gpu submodule update to version 2.5 (#8449)
* [GPU] OneDNN gpu submodule update to version 2.5
* [GPU] Updated onednn submodule and added layout optimizer fix
* Install rules for static libraries case (#8384)
* Proper cmake install for static libraries case
* Added an ability to skip template plugin
* Added install rules for VPU / GPU
* Install more libraries
* Fixed absolute TBB include paths
* Disable GNA
* Fixed issue with linker
* Some fixes
* Fixed linkage issues in tests
* Disabled some tests
* Updated CI pipelines
* Fixed Windows linkage
* Fixed custom_opset test for static casr
* Fixed CVS-70313
* Continue on error
* Fixed clanf-format
* Try to fix Windows linker
* Fixed compilation
* Disable samples
* Fixed samples build with THREADING=SEQ
* Fixed link error on Windows
* Fixed ieFuncTests
* Added static Azure CI
* Revert "Fixed link error on Windows"
This reverts commit 78cca36fd2.
* Merge static and dynamic linux pipelines
* Fixed Azure
* fix codestyle
* rename all methods in this class to snake_case
* some updates
* code style
* fix code style in tests
* update statistics reporting
* update filling inputs
* change ngraph.Type to ov.Type
* fix typo
* save work
* save work
* save work
* compute latency in callback
* save work
* Fix get_idle_request
* save work
* fix latency
* Fix code style
* update AppInputInfo
* add iteration to PatrialShape
* fix rebasing
* bind result::get_layout()
* correct mistakes
* fix setup
* use parameters/results instead inputs/outputs
* move _from_node to node_output.hpp
* add read_model from buffer
* update imports
* revert package struct
* add new line
* remove bad quotes
* update imports
* style fix
* add new line
* Fix preprocessing
* rename functin args
* set NCHW layout to image as default
* Fix input fillings
* remove Type import
* update tests
* style fix
* test clean
* remove blank line
* Add tensor_shape
* fix comments
* update PrePostProcessor init and build methods
* create test with model update tests with new PrePostProcessor init and build
* Change filling inputs
* fix preprocessing
* basic support dynamic shapes
* fix legacy mode
* rename ie to core
* fix cpp code style
* fix input files parsing
* fix binary filling
* support dynamic batch size
* process images with original shapes if no tensor shapes were given
* fix fps and number of iterations
* Add new metrics
* support pass path to folder into input mapping
* add pcseq flag
* fix resolving conflicts
* dump statistic per group
* check for compatibility with partial shape
* revert statistic report names
* code refactoring
* update parameters
* enable legacy_mode if data size less than nireq
* add serialize to offline_transformations
* Fix preprocessing import
* change log output due to ci parsing
* fix layout
* allow to pass batch size with undefined layout
* add serializer
* fix comments from jiwaszki
* Fix latency parsing for ci
* code style
* rename tensor_shape to data_shape
* add message if image is processed with original shape
* fix syntax warning
* remove default legacy_mode if requests cover all data
* rewrite all file parsing
* fix preprocessing
* Fix preprocessing #2
* Use layout instead str
* Fix file extensions
* Fix image sizes filling
* sort input files
* [Python API] quick fix of packaging
* update tests
* fix setup.py
* small fix
* small fixes according to comments
* skip mo frontend tests
* full mode is default for dynamic models only
* backward compatibility
* Fix package
* set layout in runtime
* static mode for dynamic models with all equal data shapes
* use get_tensor instead set_tensor in legacy mode
* benchmarking dynamic model available in full mode only
* fix layout detection
* use batch_size * iteration instead processed_frames in legacy mode
* fix tensor naming
* represent --inference_only
* refactoring main loop
* Fix number of iterations for full mode
Co-authored-by: Michael Nosov <mikhail.nosov@intel.com>
Co-authored-by: pszmel <piotr.szmelczynski@intel.com>
Co-authored-by: Bartek Szmelczynski <bartosz.szmelczynski@intel.com>
Co-authored-by: Anastasia Kuporosova <anastasia.kuporosova@intel.com>
Co-authored-by: jiwaszki <jan.iwaszkiewicz@intel.com>
Co-authored-by: Victor Kuznetsov <victor.kuznetsov@intel.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Tomasz Jankowski <tomasz1.jankowski@intel.com>
Co-authored-by: Dmitry Pigasin <dmitry.pigasin@intel.com>
Co-authored-by: Artur Kulikowski <artur.kulikowski@intel.com>
Co-authored-by: Ilya Znamenskiy <ilya.znamenskiy@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* [POT] Support subgraphs
* Add support for inplace statistics
* Fixed cascade models
* Fixed bug
* Fixed import
* Fix name
* Add test
* Fix comments
* Replace test model
* Replace test model
* Add recursively flag
* Fix pylint
* Updated AA node names
* Fix adding results to node
* Disable subgraph quantization
* Disable recursion search in graph
* Skip test with subgraphs quantization
* Added special passes to remove and add Convert operations in POT
* Update passes
* Implement changes to support new FP16 models
* Apply codestyle patch
* Revert Cast inserting and add data parameter
* Update FastBC rule
Co-authored-by: Malinin, Nikita <nikita.malinin@intel.com>
* Renaming all frontends from "*_ngraph_frontend*" to "_ov_frontend*"
Also Debug builds on Windows release frontends without "d" suffix will not be loaded
* Fix review comments and add wheels test debug prints
* More debug prints
* Load by absolute path and remove debug prints
* added function for calculating the number of discret levels in the input tensors and tests for this function
* added function for calculating the number of discret levels in the input tensors and tests for this function
* fixed pylint issues
* changed the function for delta estimation from mean to min
* added empty delta array processing in get_num_levels func and tests for it
