* Implementation of MMAP for ONNX FE
* fix win offsets
* added virtual dtor to MappedMemory
* review remarks. part.1
* added disable mmap flag to MO
* added additional checks to mmap
* remove unnecessary const
* fix pybind default value
* Added args.disable_mmap = False to MO tests
* fixed MO test
* avoid global headers
* fix casting for win
* disable mmap for legacy frontends flow
* review remarks
* Fixed passing parameters
* added doc to MappedMemory and load_mmap_object
* Build using conanfile.txt
* Update .ci/azure/linux_arm64.yml
* Several improvements
* Removed conanfile.py
* Try to use activate / deactivate
* Fixed clang-format code style
* Supported TBB version from Conan
* Added more NOMINMAX
* Fixed static build
* More improvements for static build
* Add usage of static snappy in case of static build
* More fixes
* Small fixes
* Final fixes
* Ability to provide several source dirs for ncc-style checks
* Fixed include headers; added NCC to TF common
* Fixed NCC for frontends
* Fixed NCC for frontends
* Extra fixes
* Fixest push --f
* Clang-format
* Apply comments
* Add an option to specify required clang-format version
* Update src/frontends/tensorflow/src/decoder_proto.cpp
* Update src/frontends/tensorflow/src/decoder_proto.cpp
* Infrastructure for tflite
* Removed submodule flatbuffers
* Added flatbuffers submodule. Fixed version to v22.12.06 aka acf39ff
* Move headers back
* Flatbuffers integration
* Small fixes
* Started parsing the Model
* flatbuffer changes
* decoder_flatbuffer changes
* Lite Input Model -- not needed as of now but looks cool
* Rolled back inherritance from ov::frontend::tensorflow::InputModel
* Results are not treated as outputs, but its ok
* Fix missplaced input vs output
* Refactor
* Load model op-by-op. Frontend API finalized
* Debugging still, there are prints here and there. Decoder is not sane
* Convolution with all attributes is translated and quantization is applied for inputs and constatants. TODO: quantize intermediate tensors, separate decoder specific logic?
* Float ssd and posenet models are showing good accuracy
* Need to refactor but work flawlessly
* Telemetry and lightweight model cutting
* Code style and test changes. Extensions supported
* Quantization and style
* Style refinements
* Move onednn back
* New portion of operations enabled
* TFLite FE doesn't inherrit TF FE
* Moved files to another directory
* Rename header op_table.hpp to common_op_table.hpp for all files in src/frontends/tensorflow_common/src/op/
* Removed visability macroses
* CMake changes
* Unit-test execution in .ci
* Update labeler.yml
* Codeowners
* Style check and fix
* Static Build arrangement
* Addressing the comments
* install common headers to previous place
* New approach with public decoder and graph_iterator
* New approach with public decoder and graph_iterator
* Move GraphIterator back
* Comments addressed
* Comments adressed
* Preliminary TF FE README.md changes
* Added target_compile_definitions OPENVINO_STATIC_LIBRARY for static build
* Fixed conflicts and added TF to common places
* Frontends use only openvino::core::dev API
* Merged common tensorflow changes and made code build and work on selective number of models
* Style
* Rollback unnecessary changes from Tensorflow FE
* Rollback unnecessary changes from Tensorflow Common
* Minor refactor
* cmake minor refactoring
* Mixed commit
* Style and merge fix
* Low hanging fruit operations
* Fix windows build
* Refactor quantization parameters representation
* license compliance. approved by OS PDT
* copyrights in generic file
* dependabot
* labeler
* Unit Test to be triggered in CI
* cmake variables naming. corrected copyright years in copyrights/generic file
* library renamed in .ci/ calls
* Copyright year update
* Set openvino-tf-frontend-maintainers as owner of /src/frontends/tensorflow_lite/
* Fixed flatc corss-compilation
* Cleaned flatbuffers header usage
* Nitpicks solved
* Update cmake/templates/OpenVINOConfig.cmake.in
* Compile with flatbuffers headers
* Fixed "which is prefixed in the source directory"
* Fixed typo in flatbuffers cmake
* Removed flatbuffers submodule
* Added fork submodule
* Fixed static build
* Fixed cross-compilatio
* Fixed -Wshadow warning
* Fixed warning on Windows
* Use only headers from flatbuffers library
* Added LTO and fixed compilation errors on Windows
* Fixed warnings in tensorflow_common
* Move ctors implementation to cpp file
* Added information about new frontends to common FEm part
* Temporaryily disable warnings
* Fixed code style using clang-format
* Fixed Windows
* reverted changes in onnx
* Revert changes in onnx_common
* Removed pragma once frm cpp
Co-authored-by: missjane <estepyreva@gmail.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Added auto-detect for SHUTDOWN_PROTOBUF option
* Hide some helper variables as internal ones
* Update frontends cmake files not to include tests folders
* Added an ability to test private API for TF FE
* Added an ability to test private API for TF FE
* Improved mock frontends in python tests
* Fixed compilation error
* Fixed link on WIndows
* Updated ia32 toolchain with system / processor
* Allow pkg-config during cross-compilation
* added error message
* Search TBB using tbb.pc as well
* WA
* Fix for yocto
* Added print
* Use tbb.pc only when system libs are enabled
* Improved OpenVINOConfig.cmake
* Don't find pkg-config as required
* Created dedicated debian packages for frontends
* Fixed Azure CI
* Install TF FE with both names
* Disabled 2 QN tests
* Install python samples differently
* Fixes for cases when TBB_DIR env var is set
* Don't use make in build_samples.sh script
* First version of Windows installer
* WIndows NSIS installer
* Improved version of debian packages
* Improvements
* Improvements
* Debian packages now look good
* Library versioning
* Fixed tests to run against debian packages
* Fixed frontend tests
* Fixed code style
* FIxed Windows
* Fixed python tests
* Fixed paths in tests
* fdvfdv
* Fixes
* USe versioning only for debian packages
* Relocatable tests
* Fixed
* Fixed all tests
* Fixed clang-format
* Fixed more tests
* Fixed some tests
* Absolute paths in .ci
* Fixes
* Added support of OpenCV 3.4
* Trying to fix gnaUnitTests
* Performance improvement for constant creation
The issue is that 'are_all_data_elements_bitwise_identical()' is called every time in Constant constructor, and it potentially checks all buffer which is O(N) complexity.
While it is needed only if client uses 'get_all_data_elements_bitwise_identical'
Solution:
- Defer calculation until first call of 'get_all_data_elements_bitwise_identical'
- Store calculated value in mutable class member to reuse it on next calls of 'get_all_data_elements_bitwise_identical'
Test verifies both cases:
a) that constant creation with shared memory data (now O(1)) is significantly faster than creation+bitwiseCheck O(N)
b) Than once calculated, value is taken from cache, which is significantly faster than re-calculation
* fix clang-format
* Stash - Linux implementation
* Windows mmap implementation + unicode
* Clang for windows
* removed debug print
* Add handling of empty bin file
* fix windows includes
* Fix python test
* Unit tests
Fix for Constant with size > 4GB
* Fix review comments
* ShutdownProtobufLibrary when unload paddle frontend dynmaic library to fix probuf memory leak
* ShutdownProtobufLibrary if the frontend libraries use protobuf
* make shutdown_protobuf a library
* 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
* Create ov_runtime library
* Added dev target
* Fixed SOURCE_DIR property for interface lib
* Fixed missed include path
* Fixed SOURCES for plugins and frontends
* Fixed Windows export
* Try to fix preproc build
* Fixed MKLDNNPlugin
* Fix C API
* Try to fix public CI
* Fixed comments
* Use TARGET_NAME variable
* Fixed static build
* Fixed target name in comfig
* Revert "Fixed target name in comfig"
This reverts commit f61c1e0c09.
* Try to remove WA with include path
* Try to fix TBB dependency for old CMake
* Revert install to lib for legacy tests
* Try to fix public tests
* Add WA for v7 reader
* Fixed dev export name
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* 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
Ilya Lavrenov