* Added -Wall for Clang and GCC
* Fixes
* Don't use /J
* Fixed warnings
* Fixed warnings
* More fixes
* Fixed for MSVC
* Fixed more warnings on Windows
* Suppressed some warnings in template plugin
* Update src/tests/functional/plugin/shared/include/behavior/plugin/caching_tests.hpp
* Added suppression for PT FE
* Suppressed warnings in TF FE
* Suppressed warnings on Core unit tests
* Suppress warnings in python
* Suppressed Windows warning for 3rd party modules
* Suppresed one more warning
* Remove global ENABLE_INTEL_CPU macro ddefinition.Add mlocal definition for some source files where it is used
* Fix1
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
* 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>
* WIP
* update input validation
* upsample_nearest2d and upsample_bilinear2d support
* support leaky_relu add test for inplace relu
* update tests, add handler for ListConstruct
* Do not create extra outputs in main body
* add positive case with non-default value
* update testing
* update test, handle non constant size and scale
* remove ie_device
* add aten::group_norm support
* refactoring
* Enable aten::reshape_as operator and add layer test
* more tests
* Fix typo in test
* Resolve conflicts
* fix code style
* expand init version
* expand_as and tests
* add transposed convolutions support
* add tests
* initial support pad
* add circular
* update for differenced in rang
* cleanup
* refactor
* more tests
* apply review comments
* Add split+listunpack transformation
* Add split+getitem transformation
* Add test cases
* fix typo
* Minor fixes
* Apply suggestions from code review
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Apply suggestions from code review
* Small fix
* Support converting models without freezing
* support BoolTensor and masked_fill
* add support aten::rsqrt and test for sqrt
* add cumsum and type_as
* support clamp
* support more matrix operations
* add tests
* Add aten::adaptive_avg_pool3d and layer test
* Change to rank
* fix code style in utils.hpp
* Update src/frontends/pytorch/src/op_table.cpp
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
* fix code style
* add tests
* add xfail
* remove unnecessary broadcast
* Changes required by style formater
* aten::_convolution_mode
* Changes requested by a reviewer
* remove code duplication
* add aten::unbind transformation
* full, zeros and ones
* Support getattr list and unrolling nested ifs
* Remove line change
* Enable back freezing in layer tests
* Add aten::norm operator and layer test
* Small fix in layer test
* add aten::roll
* add empty line
* Typo fix
* fix style
* fix style v2
* add pytorch frontend to wheel
* Support all types of numeric norms
* add check for dynamic shapes
* remove random change
* merge statements
* add min and max ops support
* aten::max and aten::min
* move axes range creation to utils
* add transformation for tuple results, update tests
* fix copyright
* aten::var
* add test and translation for numel
* ignore aten::clone
* Add layer test for aten::add operator
* Fix typo
* Remove redundant import
* Add parameter name in forward method
* fix code style
* apply review comments
* Add size+slice+listunpack transform
* Add append listunpack transformation
* Register transformation
* aten::where
* update realization
* Fix issue with getitem
* Fix getitem
* Add layer test for aten::view operator
* Add tests for listunpack
* add test for aten::div
* fix style
* update aten::adaptive_max_pool2d
* fix style
* add aten::floor_divide
* aten::addmm support alpha and beta with different dtype
* nonzero
* Change test name
* update test cases to include other dtypes
* aten::arange
* prim::max transformation for ListConstruct
* rename op
* generalize conv2d implementation for conv1d and conv3d
* aten::unsqueeze_ and tests for aten::unsqueeze (#70)
* add aten::le, aten::ge and tests for other tensor comparision ops (#74)
* add support trigonometry ops (#73)
* support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72)
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* extend and add tests for avg_pool and max_pool
* extend tests and constant filling ops
* fix as_tensor and full ops
* aten::repeat
* fix code style
* aten::im2col (#61)
* aten::im2col
* remove debug prints, add number of elements check
* fix failed tests
* move helper function
* use split
* Update src/frontends/pytorch/src/op/im2col.cpp
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* fix code style
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Update src/frontends/pytorch/src/utils.cpp
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* fix code style
* revert removeinf floordiv, add floor_divide file
* Fix merge issue
* reduce code duplication
* refactor
* Add len operator with layer test
* update clamp to support mixed precision and add support torch.long for constants
* aten::selu
* add trunc mode to div
* add else statement
* Add test case to layer test
* Fix submodules (#88)
* update test file
* fix namings
* execute in fp64 and convert back to initial precision
* Revert set_output_size to master. Small fix in If validate
* Fix build and code style
* fix failed tests
* Add torchvision::nms operator and layer test
* Change requested by a reviewer
* Remove div test
* convert constants to input type
* Mark some cases in div tests as xfail (#93)
* Small refactoring (#94)
* Small refactoring
* Fix type
* Fix python codestyle
* Incremental fix code style (#95)
* Fix style (#96)
* Fix copyright
* Fix code style
* Branch clean up (#97)
* Optimize includes and force opset10 (#98)
* Optimize includes
* Force opset10 in pt fe
* Fix codestyle (#99)
* Fix style
* Fix clang codestyle
* Fix cerr with debug log
* Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp
* Add pytorch dependency only if pytorch frontend is enabled
* Update src/bindings/python/src/pyopenvino/CMakeLists.txt
* Add layer tests to precommit (#100)
* Add layer tests to precommit
* Remove accidentally added files
* Apply code style on layer tests
* batch norm tests and fixes
* move default weight and bias to else block
* reduce code duplication
* Changes requested by a reviewer
* Changes requested by a reviewer
* Remove dependency from pytorch in pyopenvino (#102)
* Remove dependency from pytorch when fe is disabled
* Change docstring
* Remove pytorch FE dependency from pyopenvino
* Apply codestyle (#107)
* Apply codestyle
* Remove commented line
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix mock FE test (#108)
* Fix mock PE test (#111)
* Revert changes in StridedSlice (#114)
* Small refactoring (#116)
* Small refactoring
* Fix codestyle
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply suggestions from code review
* Update src/frontends/pytorch/src/op/group_norm.cpp
* Fix cmake copyright define (#117)
* Update src/frontends/pytorch/src/op/arange.cpp
* Apply suggestions from code review
* Update build configs (#120)
* FIx build configs
* Update type cast in full.cpp
* Apply review feedback (#121)
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix issue after master merge (#122)
* Fix issue after master merge
* Fix build
Co-authored-by: eaidova <ekaterina.aidova@intel.com>
Co-authored-by: bszmelcz <bartosz.szmelczynski@intel.com>
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
Co-authored-by: sikorsl1 <leonard.sikorski@intel.com>
Co-authored-by: Leonard Sikorski <l.sikorski123@gmail.com>
Co-authored-by: Mateusz <mateusz.mikolajczyk@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fixed Windows Arm64 build
* Fixed linker warnings in docs
* Fixed Windowd ARM build
* Reverted changes in docs
* Added OpenVINO level macro to define CPU architecture
* Properly remove xbyak from reference kernels optimizations
* Added documentation for cmake functions
* Fixed samples build
* Added installation dir for host protoc
* Fixed installation stage for host_protoc
* Added build dir
* Fixed compilation on Apple
* cççç
* Fixed clang code-style
* Tely on CPU id from xbyak
* Fixed build
* Fixed compilation on mac
* Fixed compilation
* Remove excess Azure Pipelines steps
* Installed unzip inside Azure pipelibes
* Added --no-install-recommends
* Move ccache to build tools
* Added libffi-dev for python _stypes
* Exit if debian packages cannot be installed
* Added comment
* Install wget for cmake downloading
* Update Azure
* Try to fix samples tests on Debian Linux
* Fixes
* Moved env
* More refactoring
* Fixes
* Revert: bash => script back
* Fixed arm64 linux
* Fixed CUDA
* Fixed mac
* Try to fix
* Try to fix cuda
* Fixed CUDA
* Fixes
* Optimize Mac build
* Fixed windows
* Try to fix debian
* Build CC COLLECT
* Use ninja for CC
* Try to fix WinCC
* Apply suggestions from code review
* Fixed sample spath
* Update .ci/azure/windows_conditional_compilation.yml
* Apply suggestions from code review
* Fixed CC ON compilation with ninja
* Improvements
* Print CC header content
* Try to fix Ninja build for Win CC
* Added explicit dependency between targets
* Reverted changes in Windows CC Azure config
* Update cmake/developer_package/compile_flags/os_flags.cmake
* Use prebuilt cmake in install-dependencies steps
* Removed building of custom python to save Azure CI time
* Adjusted conditions in cmake
* Download VPU custom kernels compiler only for x86
* Removed -pyver argument
* Improvements
* Detect glibc version
* Usage of new glic variable
* Fixed typo
* Increased glibc version for MYRIAD case
* Made OpenVINO cmake Linux flavors agnostic
* Detect glibc version on RedHat
* Use clcompiler only since ubuntu 18.04
* Universal way to detect glibc version
* Revert some changes
* Apply suggestions from code review
fixes issue with GNA
* Apply suggestions from code review
fixed typo
* Updated install_dependencies.sh
* Added Fedora support
* Improvements for RPM generation
* Refactored work with gflags
* Apply suggestions from code review
* Improvements
* Several improvements for Ubuntu 18.04
* Improvements in gflags
* Update thirdparty/CMakeLists.txt
temporary install samples dependencies
* Fixed several mistakes
* Fixed issues with gflags
* Don't install dependencies on Linux
* Added nlohmann findinds on debian9 case
* Added FATAL_ERROR is gflags is not found in samples
* Fixes for samples on CentOS 7
* Cross-compiled debian packakges with proper libraries location
* Fixed include for old nlohman-json versions
* Fixed compilation with old json
* Applied review comments
* Added support of old nlohmann versions via submodule
* Temporary WA for CentOS 7
* Fixed compilation with old gflags
* Fixed compilation of C samples
* Fixed gflags on RHEL8.2 / Debian 9
* No-break space->space, asssuming->assuming
* benchmark_app: don't print warning each iteration
* Russian с->English c
* Warn no batch only once
* Allow anonymus namespaces
* Keep only one report of model bach size, warn_if_no_batch for static model as well
* Added Debian, Raspbian, Ubuntu 22.10 support
* Updated dependencies.cmake
* Fixes in script
* Added RHEL 9.1 support
* Added proper comments
* Compilation of rpm packages for aarch64 is fixed
* Proper generation of requirements.txt files when ENABLE_WHEEL=OFF
* samples build improvements
* Proper name for json library
* Proper condtion in samples
It might not be available in some cross-toolchains.
Extract the code for switching to gold linker into separate
CMake utility function to avoid duplication between multiple CMake scripts.
