* Added nGraph Python API for operations DFT and IDFT.
* Written tests for the DFT Python API.
* Written tests for IDFT nGraph Python API.
* Small fixes.
* Started to add tests for the signal_size case.
* Written tests for signal_size case of DFT.
* Written tests for signal_size case of IDFT.
* Some code style fixes in IDFT nGraph Python API tests.
* Code style fixes in tests for DFT nGraph Python API.
* Now DFT nGraph Python API tests are used numpy FFT ressults as expected results of tests.
* Now IDFT nGraph Python API tests without signal_size are used numpy FFT result as input data.
* Now IDFT nGraph Python API tests use numpy IFFT as expected results for signal_size cases.
* Deleted redundant function.
* Formatting fix.
* Now test data for DFT and IDFT nGraph Python API are randomly generated.
* Added seed initialization.
* Extend nGraph Python API and test IE IR reader for Einsum
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Format description for test auxiliary function
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove print from the python test
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Separate workdir for parallel runs
* Use random
* Get back old working configuration
* Change label
* Debug parameters
* Change models dir to SHA approach
* Fix WORKDIR names
* Change mountig models dirs
* Update model preproces script
* Improvements
* Isolate all private variables
* Fix model dir path
* Update model preproces
* Update node label
* Remove debug printlns
* Enabled Wall for nGraph
* Fixed Linux build
* Fixed ONNX Editor and class-memaccess
* Fixed topK
* Fixed some builds
* Fixed nGraph Python API
* Use std::fill instead of cycle
* Wno-unded and deprecation for app python versions
* BatchToSpace, SpaceToBatch layers optimizations
* Fix according to review
* Fix tests for oneDNN (v1.6)
* Fix of support BF16
* Fix in/out config
* Add support of Blocked layout
* Fix of support U8
* Add support for in/out channels of different sizes
* Removed xfail
* Removed xfail_issue_34327
* BatchToSpace, SpaceToBatch layers optimizations
* Fix according to review
* Fix according to review
* 3 different implementations -> 1 implementation
* Fix THROW
* Fix Exception
* Revert Batch_to_Space to parallel_for
* Fix remarks
* parallel_for -> parallel_nt
* Fix remarks
* Fix data separation
* Fix according to review
* Added Roll to nGraph Python API.
* Added empty line at the end of file.
* Corrected a typo.
* Added Roll test.
* Reformat code.
* Removed empty line.
* Added add_clang_format commands
* Added clang_format targets as dependencies for original targets
* Update CI scripts
* Fixed code-style for nGraph unit tests
* Change job name
* Disable clang-format for Windows
* Fixed nGraph python build
* Fixed comments and enabled code style for ONNX Editor
* Disable code style check on compilation step
* Add BinaryConvolution unit tests.
* Changed types to u1.
* Add BIN precision handling in TestCase class.
* Refactored validate and infer types to enhance dynamic shape inference
* Add type_prop test to cover invalid op cases and dynamic shapes
* Fix style
* Disable check for float type of data batch input
* Add type_prop test for incompatible input channels in inputs
* Disable backend unit tests
* Fix style
* Add reference implementation
* Add backend tests
* Add single layer tests
* Add check for float element type of batch data input
* Refactor backend test cases to compare with regular convolution
* Add serialization tests
* Clean up
* Add 1D and 3D tests into op_eval
* Changes in reference implementation to improve readability
* Add ticket information for todo tasks
* Fix implementation misbehavior for filter channels
* Add backend unit tests to cover strides, dilations, padding, channels and batches
* Add end of line into files
* Change name of type_prop unit tests
* Simplified lambda to get spatial dimensions of filters
* Add comment to support filters input as Parameter
* Add namespace details for BinaryConvolution utility functions
* Address review comments
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* Added support for Gelu-6 to the MO
* Adding Gelu-6 to ngraph and python API + some tests
* Fixed typo in the Gelu approximation mode
* Fixed Gelu-6 reference implementation for Tanh mode
* Added transformation to downgrade v6::Gelu to v2::Gelu
* Added specification for the Gelu-6
* Code style fixes
* The Gelu-6 operation specification update
* Fixed compilation issue in reference implementation for Gelu
* Fix compilation issues for some OSs
* Code style fix
* One more cpplint issue fix
* Fixed Gelu6 reference implementation compilation on Windows.
* Code style fix
* Fixed various ngraph unit tests
* Code style check
* Reverted Gelu-2 to be fused op
* Fixed Gelu6 downgrade transformation
* Added unit test for Gelu6Downgrade transformation
* Update copyright year
* Updated copyright year
* Replaced tab characters with 4 spaces in IR reader tests
* Code style fixes
* Added default value for GeluApproximation mode for Gelu-6 op
* Fixed code style for Gelu-6
* Changed order of parameters for the Gelu evaluate to potentially avoid backward compatibility issues with ARM plugin
* Fixed code style
* Introduced opset7. Moved Gelu6 to opset7
* Fixed non-updated transformation
* Fixed opset version in ngraph Python API for Gelu operation
* Fixed typo in the opset number in the documentation
* Reverted some changes related to Gelu6
* Updated MO to produce Gelu7
* Updated unit tests for Gelu
* Updated Gelu7 specification
* Changed gelu reference implementation. Added opset7 to Python packages
* Updated Python API tests for Gelu operation
* Code style fix
* Marked get_approximation_mode function as const
* Added missing "const" qualifier
* Fixed code style issues in tests
* Added extractor for MxNet operation Gelu
* Spelling issues fix
* Updated MxNet supported symbols
* Added NGRAPH_OP_SCOPE for Gelu7 validate_and_infer_types
* Fixed a typo in the comment
* Align builds folders for ngraph and ie python bindings
* fix merge issue
* Replace hardcoded path in PYTHONPATH with setupvars.sh
* remove unused docker instructions
fix output directory for local wheel build (ngraph_DIR is set)
* add newline at end of file
* fix merge issue
* Added rpath for plugins
* Corrected dll pathes for PIP
* Fixed plugin install names
* Put libs to the sub-package
* Corrected libraries path according to the new location
* Added download and home page urls
* Add python api for CTCGreedyDecoder
* Fix code style
* Fix unit test
* Fix code style
* Fix unit tests
* Fix python tests
* Fix python tests
* Fix python tests
* Fix according to code review
* fix
* Fix api
* fix unit tests
* Fix unit test
* Fix python api
* Partially removed cmake duplication with IE cmake
* Deprecated API usage: fixed or suppressed
* Fix for TypeRelaxed
* Canonical form for ngraph includes
* Removed extra visibilit settings; removed graphviz find_package
* Removed var_functions module; canonical includes for ngraph::reference
* Fixed deprecated API in ngraph tests
* Re-use standard cmake macro for shared libs
* Trying to fix ONNX importer tests
* [MO] Add CMake install for Model Optimizer
* [MO] Update test for version.py
* [MO] Add CMake install for Model Optimizer
* [MO] Update test for version.py
* [MO] Add CMake install for Model Optimizer
* [MO] Update test for version.py
* [nGraph] Python API should be compiled and installed via CMake (41857)
* Refactored wheel setup script to build module using CMake
* Update build instructions
* Added USE_SOURCE_PERMISSIONS to cmake install
* Adjust CMake compiler flags conditions
* fix CPack issue for CI build pipeline
* case insensitive option check
* build only python API if ngraph_DIR provided
* fix lib extension for macOS
* -fixed style (flake8)
-added paralllel build option & description
* fix flake8 B006 check
* add ngraph_DIR & remove unsed env. variables.
* Reworked build & test instructions to make it more straightforward
* remove unused CMake arguments for setup.py
* make source dir condition more general
* Update BUILDING.md
* Update BUILDING.md
* Update BUILDING.md
* beautified instructions wording
* fix wheel build issue after sourcing setupvars
* Extend user options to build, install and develop commands
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
* Update ONNX models to 00d95ba9e5758fd0bc5e6978033fabc4f2a95e61
That version fixes yolov4 and roberta models
* remove yolov4 post processing
* remove model directory before unpacking
* Resolved problems with ssd_resnet34_1200
* removed debug code
* Added correct handling onnx nodes from parent graph scope
* removed unnecessary include
* fixed calcution index to replace
* fixed LoopParentParametersUsedInBody test
* added set_friendly_name
* apply Unsqueeze for each concatenated Loop output
* added handling trip count with value max_int
* merge from upstream/master
* update xfail list
* added checking is trip_count is constant
* Revice DetectionOutput reference implementation
Ticket: 37433
* fix test_create_op
* fix test_dyn_attributes
* apply code format
* fix crash on Windows when variance_encoded_in_target == 1
* add more checks for DetectionOutput inputs
* Fix single layer tests
* apply code format
* fix ssd_vgg16_300 inference with batch size > 1
* update types in docs
* fix crash on windows
* apply code style
* fix python tests
* fix setting output type
* change False to false and True to true in docs
* Allow prior boxes to have different type than box logits
Some models work that way
* simplify output shape calculation
* fixes to docs
* Add reference implementation for PSROIPooling operator
* fix test_roi_pooling
* use std::roundf
* remove unnecessary copies in single layer tets
* Fixes after review
* fixes after review
* use element::Type_t instead of element::
* apply code format
* add PSROIPooling to evaluates_map
* apply code format
* remove power op from layer creator
* remove prelu op from layer creator
* remove tile op from layer creator
* remove relu op from layer creator
* remove selu op from layer creator
* remove softmax op from layer creator
* remove tanh op from layer creator
* remove split op from layer creator
* remove reshape op from layer creator
* remove reverse sequence op from layer creator
* remove proposal op from layer creator
* remove priorbox op from layer creator
* remove roipooling op from layer creator
* remove priorboxclustered op from layer creator
* style fix
* utility function to parse bool-containing strings
* align priorbox scale_all_sizes parameter to specification
* change location of getBoolStrParamAsIntStr function
* align prelu creator to new constant op changes
* adjust priorbox tests to align with scale_all_sizes default value
* adjust priorbox python tests to align with scale_all_sizes default value
* align priorboxclustered attributes initlialization to specification
* fix checking wrong container's end iterator for opset name search
* improve comment on roipooling parameters
* Apply review suggestion 1
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* Apply review suggestion 2
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* align priorbox step initial value to specification
* align roipooling method attribute to specification
* remove roipooling specific creator
* align with review comments
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Vladimir Gavrilov