* Adds base class and first test for tflite_layer tests
* adds layer tests for unary ops
* adds functionality to get tensors from ops
* 1. adds functionality to use custom funcs for input generation
2. removed UNIQUE op from testing ops
* adds functionality to use custom dtypes
* Cast operation support
* Enhanced tfl layer tests
* Trigger tfl layer tests in .ci
* Apply suggestions from code review
---------
Co-authored-by: Evgenya Stepyreva <evgenya.stepyreva@intel.com>
Co-authored-by: Evgenya Stepyreva <eva.my.link@gmail.com>
Co-authored-by: missjane <estepyreva@gmail.com>
* add pattern mathing for MVN, Exp->ReduceSum, L2Normalize, Div with eps for mixed precision inference
* added necessary includes
* clang_format_fix_all
* fix warning_as_error for unused variable
* fix warning_as_error for specifying float literals
* enable marking for fp32 IRs as well
* cosmetic improvements in unit-tests
* fix warnings as error
* added unit-tests for compress_float_constants.cpp for out of range values
* Update align_mixed_fp32_fp16_types.cpp
* Apply suggestions from code review
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* some grooming: mainly in imports
* build fix: replaced ngraph:: -> ov::
* collected all markings in a single file
* shortened pass names
* style fix
* made MarkNormalizationOps as a separate pass
* removed redundant comment, fixed description of MarkSugraphsToKeepInMixedPrecision pass
* comments on Up and Down marking in MarkSugraphsToKeepInMixedPrecision
* cleared info messages in compress_float_constants.cpp, removed threshold adjusting from ENV
* moved declarations of MarkNormalizationOps, MarkExpInReduceOpPath, MarkDivWithEps to hide them from outside users
* simplified pattern matching for max_or_add
* moved `reduceop_path` rt_info inside mark_subgraphs_to_keep_in_mixed_precision.cpp
* fix potential bug with Convert
* removed redundant check for Converts in `insert_converts_after_if_needed` as well
* set Convert types more safely
* corrections in opset10 namespaces; some minor corrections
---------
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
* Add meshgrid listunpack transformation
* Add case when indexing is not specified
* Fix typos
* Fix problem with 1 input execution & missing runtime_info
* Fix issue with meshgrid placed in loop body
* Add tests to precommit
* Apply sugestions from review
* Fix input 0
* Improve indexing attribute read
* Remove download of vodels + move some methods to utils
* Separate constants
* filelist
* separate conformance utilities
* Update script according new utils
* Fix subgraphdumper crash
* Some small improvements for api conformance
* add warn_message
* One short fix
* fix master
* Optimize realloc for dynamic shape with
- Pre-aligned alloc for bounded dynamic shape
- Reuse internal buffer
* - Fix internal buffer of NMS kernel to be reused
- Fixed bug in nms quick sort
* Additional fix for internal buffer reuse
* Fix legacy dynamic batch to be applied only for 0-th dim dynamic shape with upper bound
* Fix unittest error
* Apply nms fixes of padding -1 to all buffers only when internal buffer is reused
* Not to have separate get_max_tensor, becuase currently there is no needs for that separate API.
Currently max tensor is only needed for memory allocation, and there is no need for minimum tensor size for now
* Fix allocation of internal buffer to be done for each layout
* add aten::topk
* remove commented lines
* remove white space
* move include to invidual ops
* swithc include statements
* fix style
* trim test cases
* 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>
* 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
* [GNA] Fix issue with Parameter followed by Broadcast/Tile layer
* added InsertCopyBeforeLayerToBeEliminated transofrmation: handling issue with
Broadcast and Tile layer in case they are eliminated from network,
* added tests for verifying fix
* [GNA] Fix review comment. Remove unnecessery loop and varialble
