* Create output tensor for bound evaluate depends
on element type and shape, rank dynamism
* Add test to simulate pytorch bound evaluation
for when output has got dynamic data type or rank
* Correct code style
* Correct shape for dynamic tensor.
* 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 "OV_FRONTEND_PATH" from `FrontEndManager`
* Remove "OV_FRONTEND_PATH" from layer_tests
* Remove "OV_FRONTEND_PATH" from find_ie_version.py
* Remove "OV_FRONTEND_PATH" from .ci/
* Move `ov::get_plugin_path` to file_util.hpp (ov::util)
* Add `register_front_end(name, path)` FEM public API
* Enable frontend/ tests
* ClangFormat
* Remove OV_FRONTEND_PATH from FE shared utils
* Add `register_front_end()` to PythonAPI
* Update Py tests with registering of "mock_py" FE
* ClangFormat
* Leftovers
* Fix SegFault with `register_front_end(name, lib_path)`
* Add FE_LIB_PRE and FE_LIB_SUFFIX to `ov_core_unit_tests`
* Fix format
* Update `testFailRegisterFEByWrongPath`
* Use ov::Tensor in are_equal
* Use ov::Tensor in bounds evaluation
- remove from node evaluates bounds for HostTensor
- update validation utils
- update operators
* Fix code style
* Fix windows compilation errors
* Fix windows compilation errors in scatter update
* Improve reshape output shape calculation
during shape infer
* Add common bound evaluator
- rename evaluate_bound_t -> evaluate_bound
* Fix code formatting
* Move bound evaluation util functions to dev API
* Fix compilation issues
* Remove from dev API not required bound eval
- extract bound eval functions to separate source
* Add missing doxygen comment
* Use ref evaluate in bounds calc for shape_of
because input data can have dynamic type and
create tensor is not possible and data type has
no meaning for shape calculation.
* Add shape_infer function for GatherND
* GatherND shape infer improvements
* Align test to trigger correct error message
* Add new and improve GatherND type_prop tests
* Update tests to use ov namespace
* Add GatherND common shape_infer tests
* Init shape infer tests for not common cases
* Tests refactor
* Add default ctor tests
* Add more test cases
* Register shape_infer for GatherND V5 and V8
* Enable more tests and print params
* Move GatherNDTestParams
* Review ctc loss operator for
- partial shape and label propagation
- template implementation of shape_infer
- update/extend tests
* Use namespace ov in ctc loss operator
* Review reverse sequence for:
- partial shapes and labels propagation
- template implementation of shape infer
- refactor shape_infer to use it when op created with default ctor
* Remove friend shape_infer from reverse sequence op
* 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>
* Review propagate interval shapes and labels
* Review eye template shape inference
* Add partial value and label propagation on inputs
columns and rows
* Include array in eye shape inference
* Fix compilation issues
* Remove local label_t alias from eye tests
* New static shape inference iface using ov::Tensors
- Add new shape inference factory
- Add helpers to create inference factory map entries
- Create map for IShapeInferCommon instead of if else switch
- Create new map for IStaticShapeInfer
* Re-factor tile shape inference to use new iface
* ov::default_label_evaluator uses ov::Tensor now
* Improve cmp::lt for mixed types unsigned and float
* Fix cpp lint issue
* Update using tile shape_inference in GPU plugin
* Do tile shape infer before repeats lock deletion
* Fix label type conversion to element type
* Rename shape infer transformation
to type utils and change namespace from ov::sh_infer_tr to ov::util
* Update shape inference utilities
* Add unit test for safe compare of values
* Update shape infer factory to be a template
and use unordered map
* Remove from_label_type as lebel_t can be used
by element:from<>
* Add PushConstantToSubgraph transformation
Transformation detects constfoldable inputs to MultiSubGraphOp,
constantfold them and then pushes them to inner subgraphs.
Ticket: 98155
* cast to int
* comments, split to functions
* remove op::util
* Review TopK for:
- label and dimension propagation
- partial value and label propagation
- preserve partial value and labels
- add evaluate upper, lower and label
* TopK v1 use shape infer instead fallback
- update static shape inference tests
* TopK shape_infer return output shapes
* Add new way to get tensor data as shape
with custom data processing
- Update tail op to use new function
- Update topk op to use this function
- Add test for negative k
* Add missing include
* Fix compilation issues
* Add support for i4 and u4 element types in
get_raw_data_as
* Fix signed and unsigned and compile warnings
* Remove constexpr from InTypeRange::operator()
* Use forward reference for functor
- minor corrections in InTypeRange class
* Use shape)infer in evaluate
- fix TopK v3 ctor for input data validation
* Fix transformation tests to use correct type for k
* Fix f16 handling in get_raw_data_as
* Correct topk bounds evaluators
* Topk detect overlap for same size dimensions
As op specification not guarantee correct order of
several elements same value
* Remove evaluate bounds
required investigation if required then will be provided
* Remove bound evaluation leftovers
* Update get const data in slice ops
* 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>
* Add more type_prop tests for interval dims and labels
* Add setter for grid sample attributes
* Merge grid sample batch dims
* Add StaticShapeInferenceTest for GridSample
* Fix label test
* Use OpStaticShapeInferenceTest fixture in test
* Review slice ope for
- Interval dimension and label propagation
- add template shape inference with static shape test
- check preserve partial values on inputs
- check upper/lower evaluate
* Add bounds evaluation for inputs start, stop
* Share code between slice and strided slice
Use same function to calculate elements in step
* Add array includes
* Add to int64_t strides size
* Fix windows compile warnings
* Fix shape inference for unknown axes
* Remove empty lines in slice shape inference
* Correct slice static shape tests
* Use arrays of const chars to store literals
Remove and update exception messages for strided slice
* Fix slice test and apply review comments
* Fix compilation issues
* Fix ellipsis when there is not begin
* Fix get element type for const inputs
* Insert optional axes as const or dynamic param
* Remove temp vectors for dimensions calculation
* Revert set optional input in ctor
* Fix forward slicing for negative start and MAX end
* 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
* Add ov::label_t alias and set it to uint32_t
to simplify conversion to tensor element type
* Fix clang formatting
* Fix one hot test to use label_t
* Remove label types alias duplicates
propagate using alias for label types
* Correct label type in transpose tests
* Define label_t in dimension
remove size_t usage as label type.
* Correct label type usage in Einsum and LSTM op's
* Correct label type usage in tracker transformation
scatter update and split op tests
* Correct usage label type in type_porp tests
- squeeze
- tile
- transpose
- variadic split
* Correct usage label type in type_porp tests
- squeeze
- transpose
- unsqeeze
- variadic split
