* Added extractor for ONNX operation Size
* Moved transformation of Size operation from TF specific to generic front phase
* Updated list of supported ONNX operation
* Moved unit test for Size decomposition to a new location
* Written MO classes for DFT and IDFT operations.
* Added class to read TF (I)FFT operations.
* Written extractors for TF operations FFT, FFT2D, FFT3D, IFFT, IFFT2D, IFFT3D.
* Written MO Roll operation and TF Roll operation extractor.
* Started to write needed transformations.
* Written transformation StridedSlices + Complex + Roll + (i)FFTxD + Roll + (Imag, Real) + Pack -> Roll + (I)DFT + Roll.
* Written transformation for Complex + ComplexAbs.
* Written correction of axes of Roll.
* Small fix.
* Small fix.
* Some fixes.
* Some changes.
* Now TF Roll is read as TFRoll. Written inserting Transposes before and after (I)DFT.
* Small fix.
* Written tests for the transformation TFRollToRoll.
* Added comments to some transformations.
* Deleted redundant import.
* Written tests for the transformation TransposeDFT.
* Fixes in MO IR Reader to read/write (I)DFT.
* Fixes in the list of supported TF layers.
* Started to write tests for SSliceComplexRolledFFTPackBlockReplacement transformation.
* Written tests for the MO transformation SSliceComplexRolledFFTPackBlockReplacement.
* Written tests for the MO transformation ComplexAbs.
* Tests for transformations were moved into unit_tests directory.
* All extractors for (I)FFTxD are in one file now.
* Deleted redundant transformations.
* Fixed extractor for TF Roll: now this operation is read as MO Roll.
* Added comments to TFFFT operation.
* The method insert_transpose of classes TransposeDFT and LayoutChangeForGatherND was moved into the separate function in the file model-optimizer/extensions/middle/InsertLayoutPropagationTransposes.py.
* Fixed comment for the transformation TransposeDFT.
* Small fix.
* Some fixes.
* Deleted shape infer function for the operation TFFFT. Sorted imports in complex_abs.py.
* Small fixes.
* Deleted redundant import.
* Fixes in some asserts.
* Small fix.
* Added names for created nodes in the transformation ComplexAbs.
* Added comments to the method canonicalize_axes.
* The transformation SSliceComplexRolledFFTPackBlockReplacement was split into the sequence of transformations SSliceComplexRollReplacement -> RollRealImagPackReplacement -> TFFFTToDFT.
* Written tests for the transformation SSliceComplexRollReplacement.
* Written tests for the transformation RollRealImagPackReplacement.
* Written tests for the transformation TFFFTToDFT.
* Deleted commented code.
* Fixed types of constants in the transformation ComplexAbs.
* Written tests for canonicalization of signal_size value.
* Deleted 'Replacement' from names of files and classes.
* Used comarison of ids, not names.
* replace_sub_graph was replaced with find_and_replace_pattern.
* Now the transformation RollRealImagPack is executed before running transformation model-optimizer/extensions/front/Pack.py.
* The body of the function create_dft_from_tffft is a part of the transformation TFFFTToDFT body now.
* Now method correct_roll_axes of classes RollRealImagPack and SSliceComplexRoll is moved to the function in mo/front/tf/graph_utils.py.
* Small changes.
* Added comment before mark_input_as_in_correct_layout(roll, 2).
* Now the functions correct_roll_axes generates sub-graph in the input port 2 of Roll.
* Corrected tests for the transformation SSliceComplexRoll.
* Corrected tests for the transformation RollRealImagPack.
* Deleted commented code.
* Some renaming.
* Added decomposition of the separate operation ComplexAbs (without Complex before it).
* Added comment to the transformation ComplexAbsAfterComplex.
* Optimized imports for the transformation TFFFTToDFT.
* The transformation SSliceComplexRoll was split into the sequence SSliceComplex -> CorrectRollAxes and disabled.
* Written tests for the transformation ComplexAbs.
* Written tests for the transformation SSliceComplex.
* Written tests for the transformation CorrectRollAxes.
* Deleted the transformation SSliceComplexRoll.
* Deleted renaming nodes.
* Fixed comment.
* Small fixes.
* Small fix.
* The attribute need_correction was renamed as input_rank_changed.
* Small fixes.
* Deleted commented code.
* Now we iterate over all complex_node.out_port(0).get_connection().get_destinations() input ports and mark the corresponding nodes with the marker attribute.
* Added the attribute 'in_ports_count' into the class FFTBase.
* Tests for the transformation TransposeDFT were rewritten using helper functions.
* Now the transformation RollRealImagPack uses existing Roll node instead of creating new one.
* Small fixes.
* Fix in the documentation.
* Written class to read MxNet (I)FFT operations. Written corresponding extractors.
* Corrected shape infer function for MXFFT operation. Written transformation to convert MXFFT to (I)DFT.
* Fixed shape infer function.
* Fixed the conversion MXFFT to (I)DFT.
* Written tests for the transformation MXFFTToDFT.
* The function correct_roll_axes was replaced with more generic function add_constant_to_negative_values.
* Fixes in classes TFFFT, FFTBase, DFT, IDFT, MXFFT.
* Added asserts in constructors of operations TFFFT and MXFFT.
* Refactored transformation MXFFTToDFT: conversion of DFT and IDFT were moved into separated functions.
* Moved some commented code.
* Fixed BOM file.
* Written function convert_ifft_to_dft.
* Started to rewrite tests for MXFFTToDFT transformations, in the case is_inverse=False.
* Small fixes.
* Fixes in the transformation RollRealImagPack.
* Renaming tests class for the transformation SSliceComplex.
* Fixes in the function compare_graphs. Now we get all output nodes of op node, and these output nodes are sorted by names.
* Fixed tests for the transformation MXFFTToDFT.
* Fix in the transformation ThresholdedReluDecomposition: added disconnect for trelu input port.
* Fixes in test for the transformation TFSliceToSlice.
* Small fix in the transformation ObjectDetectionAPIPreprocessor2Replacement.
* Small fix in comment.
* Optimized imports.
* Used remove_node in the transformation ThresholdedReluDecomposition and remove_nodes_from in the transformation RollRealImagPack, instead of ports disconnection.
* Deleted commented code.
* Deleted test case test_slice_replacer_begin_with_2_inputs.
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Edits to MO
Per findings spreadsheet
* macOS changes
per issue spreadsheet
* Fixes from review spreadsheet
Mostly IE_DG fixes
* Consistency changes
* Make doc fixes from last round of review
* integrate changes from baychub/master
* Update Intro.md
* Update Cutting_Model.md
* Update Cutting_Model.md
* Fixed link to Customize_Model_Optimizer.md
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: baychub <cbay@yahoo.com>
* initial changes (IR not generated)
* extractor fix
* convert tdnnf (with correct infer)
* refactoring + comments in code
* added unit tests + couple fixes based on tests
* change order for old convolutions
* fix pylint
* small refactoring
* added if to remove changes in old irs
* doc updated
* fix layout and kernel shapes for old convolutions
* fixed test
* moved test
* fix import in test
* fixed backward compatibility
* review fixes
* Added operation Roll to MO.
* Updated BOM file.
* Replaced FrontReplacementPattern with FrontReplacementOp.
* Added set_input_permutation() to Roll infer function.
* Optimize imports.
* Code refactoring.
* Code refactoring.
* Removed unnecessary variable.
* Added name to the second reshape.
* Added rename_nodes to set original op name be at second reshape.
* Small fix.
* Do not run transformations for TF 2.X OD API models recursively (needed for models with Loop operation)
* Added anchor front transformation to group all TF OD API transformations. Added new necessary dependencies from KerasRNN transformations related to While support
* Added JSON configuration files for TF 2.4 OD API SSD and EfficientDet models
* Updated documentation with table of supported TF 2.x OD API models
* Improved visualization of the dependency graph
* Updated version of the pre-processing transformation for TF 2.4 OD API models
* Fixes in the TF 2.x OD API models conversion
* Fixed order of applying mean/scale values for TF 2.X OD API pre-processing
* Updates to the documentation
* Fixes for the preprocessor block transformation for the TF OD API models
* Added code comments
* Fixed bom file
* Unit tests for the TF 2.4 OD API ObjectDetectionAPIPreprocessor2Replacement transformation
* Code cleanup
* Updates to the documentation on how to convert TF OD API models and graph dumper
* Added assert to make sure that operations in the `get_specific_ops_with_const_inputs` has exactly 2 inputs
* Add F3Net to list of supported models
* Add instruction for F3Net model pytorch->onnx conversion
* Add new file to ie_docs.xml
* Update instruction
* Apply comments
* Apply comments
* Apply review comments
* Document TensorFlow 2* Update: Layers Support and Remove Beta Status
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update documentation based on latest test results and feedback
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove ConvLSTM2D from supported layers list
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Document Dot layer without limitation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Address feedback upon DenseFeatures and RNN operations
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Do a grammar correction
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Do a grammar correction based on feedback
Signed-off-by: Roman Kazantsev <roman.kazantsev@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
* [MO][TF] Fixed TFSliceToSlice conversion error on Win, replaced int32_max with ShapeOf, minor correction in comments
* review apply: added create_op_with_const_inputs
* review apply: renamed variables, updated typehints for int64_array, float_array, float32_array
* renamed to correct_ends
* returned back check_op_attrs=True
* Added TF broadcast_to extractor
* updated Supported_Frameworks_Layers.md
* corrected name
* corrected op name in Supported_Frameworks_Layers.md
* added a space after BroadcastTo in Supported_Frameworks_Layers.md
* fix ss
* successfully converted
* successfully run moved infer and normalizer unit-tests
* successfully rewritten StridedSlice infer unittests
* int64 array
* Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext)
* successfully moved PermuteAttrs to general mechanism
* successfully converted xj_feauture and crash when loading with the new rewritten SS infer
* fixed get_shape_from_slice and moved to common utils
* fixed extending masks and some other
* some refactoring
* fixed extending masks in extractor, fixed licence year and some other code clearing
* corrected a couple of unittests
* fox permute for 5 rank slice and 4 rank inputs/
* WIP
* Added comments
* fixed StridedSlice in ProposalMutation.py
* rechecked shape_infer unittests added some new cases
* added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests
* corrected unittests
* Applied review comments
* general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections
* removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py
* removed some code duplication and other minor improvements
* Added tests
* minor corrections
* wider range of unittests added (froze the number)
* review comments applied
* enabled skipped unit-test
* comment corrections
* applied review comments: changed op -> type, added some asserts, corrected comments and other minor corrections
* sorted inputs, updated Supported_Frameworks_Layers.md, some minor
* Release mo dev guide refactoring (#3266)
* Updated MO extension guide
* Minor change and adding svg images
* Added additional information about operation extractors. Fixed links and markdown issues
* Added missing file with information about Caffe Python layers and image for MO transformations dependencies graph
* Added section with common graph transformations attributes and diagram with anchor transformations. Added list of available front phase transformations
* Added description of front-phase transformations except the scope-defined and points defined. Removed legacy document and examples for such transformations.
* Added sections about node name pattern defined front phase transformations. Copy-pasted the old one for the points defined front transformation
* Added description of the rest of front transformations and and all middle and back phase transformations
* Refactored Legacy_Mode_for_Caffe_Custom_Layers and updated the Customize_Model_Optimizer with information about extractors order
* Added TOC for the MO Dev guide document and updated SVG images with PNG ones
* Fixed broken link. Removed redundant image
* Fixed broken links
* Added information about attributes 'run_not_recursively', 'force_clean_up' and 'force_shape_inference' of the transformation
* Code review comments
* Added a section about `Port`s
* Extended Ports description with examples
* Added information about Connections
* Updated MO README.md and removed a lot of redundant and misleading information
* Updates to the Customize_Model_Optimizer.md
* More updates to the Customize_Model_Optimizer.md
* Final updates for the Customize_Model_Optimizer.md
* Fixed some broken links
* More fixed links
* Refactored Custom Layers Guide: removed legacy and incorrect text, added up-to-date.
* Draft implementation of the Custom layer guide example for the MO part
* Fixed broken links using #. Change layer->operation in extensibility documents
* Updated Custom operation guide with IE part
* Fixed broken links and minor updates to the Custom Operations Guide
* Updating links
* Layer->Operation
* Moved FFTOp implementation to the template extension
* Update the CMake for template_extension to build the FFT op conditionally
* Fixed template extension compilation
* Fixed CMake for template extension
* Fixed broken snippet
* Added mri_demo script and updated documentation
* One more compilation error fix
* Added missing header for a demo file
* Added reference to OpenCV
* Fixed unit test for the template extension
* Fixed typos in the template extension
* Fixed compilation of template extension for case when ONNX importer is disabled
Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
* Initial support of GatherElements in MO and nGraph
* apply_style
* added lost extractor for GatherElements
* Corrected GatherElements::validate_and_infer_types
* updated package_BOM.txt
* Type_t added
* started to implement ngraph shape_type_infer unit-tests
* finally implemented all ngraph shape_inference unit-tests
* updated Supported_Frameworks_Layers.md
* added correct handling of dynamic shapes in nGraph, added unit-tests for dynamic cases, fixed dump typos in MO, replaced axis type from int -> int64_t
* implemented shape infer for dynamic shapes with intervals
* finalized MO implementation
* applied comment from review
* style-apply
* spec correction
* removed conflict
* fixed typos
* removed obsolete comments form type_prop
* significant corrections in validate_and_infer_types
* style-apply
* data_rank check for axis
* Config for TF 2.0 Faster R-CNN models, refactored subgraph_between_nodes to use graph API
* Added support for new type of Preprocessing block in the TF 2.0 OD API models. Various fixes to enable the Faster R-CNN ResNet 50
* Updated text comments
* Fixed sub_graph_between_nodes for TensorIteratorMerge. Added support for the TF 2.X EfficientDet models (not yet reshape-able)
* Fixed unit tests
* Fixed regression for TF 1.X OD API SSD model, enabled TF 2.0 OD API SSD models
* Code clean up
* Switched TF 2.0 OD API Faster R-CNN to preprocessor replacement type 2
* Refactored ObjectDetectionAPIPreprocessorReplacement and ObjectDetectionAPIPreprocessor2Replacement
* Fixed bug in the Div transformation to Mul when input is integer.
* Added support for the TF 2.0 OD API Mask R-CNN
* Added unit tests for Div operation. Updated incorrectly modified mask_rcnn_support_api_v1.14.json
* Updated document with list of supported configuration files for TF OD API models
* Review comments
* Added tests for control flow edges for the sub_graph_between_nodes function
* Two more tests
* Added transformation config to support automl efficientdet-4 model
* Added configuration file to convert Automl EfficientDet model
* Updated unit test for Pack
* Added instruction on how to convert EfficientDet Tensorflow model
* Updated documentation on how to convert EfficientDet model
* Updated a documentation with instruction on how to convert Automl EfficientDet.
* Generate TensorIterator without back edges from TensorFlow models
* Added a check in the MarkSubgraphsWithCorrectLayout to not fail when port is not connected
* Updated the 'protobuf2nx' to consume the graph protobuf message
* Cleanup TI from the IRv7 specific code
* Do not run some front transformations recursively
* Draft support for the ONNX Loop operation when 'cond' = True
* LoopToTI transformation changes
* Added draft of Loop operation and parser for ONNX Loop operation body
* Updated Loop body parser + added shape and type infer for the Loop operation
* Fixes for ONNX Loop operation parser
* Moved Loop parsing to Loop op extractor. Added generation of external edges for the Loop body ops
* Added support for ThresholdedRelu using decomposition
* Added support for Min ONNX operation
* Draft fixes for port_map generation for the Loop
* Rename transformation file and fix BOM
* Fixed shape inference for Loop scan outputs (axis is not None)
* Fixed shape inference for ONNX Loop operation
* Refactor checks in the TensorIteratorMerge transformation
* Code refactoring. Enabled commented transformations
* Documentation update for ONNX Loop, ThresholdedRelu and Min
* Fixed typo in the Loop front transformation where execution condition input is connected. Other refactorings
* Fixed in the Loop extractor
* Added printing 'internal_layer_id' attribute in the graph dumper
* Updated calculation of iterations number for the Loop
* Added missing code
* Fixed output port shapes and types generation for Loop operation
* Update function names and variable names in the Loop operation
* Fixed type inference for iteration count input
* Added removal of input/output ports of the Loop if they are not used
* Fixed renumbering Loop operations input/output ports to keep mandatory
* Fixed ThresholdedReluDecomposition transformation
* Updated MO IR Reader to know about Loop operation. But it is still not supported by the MO IR Reader
* Added unit test for Slice op shape infer (reverse the sequence of elements)
* Reverted changes in the ONNX loader function call to protobuf2nx
* Enable Reshape0DToSqueeze transformation recursively
* Refactored Loop operation support implementation
* Changed ThresholdedReluDecomposition to generate Const with shape [1] instead of scalar
* Code style and wording fixes
* Restored accidentally removed 'return' statement in the TI shape infer function
* Fixed comments
* Fixed comment
Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com>
* [IE CLDNN] Memory allocation optimizations (#2178)
* [GNA] Safety fixes (#2193)
* LSTMCell test [GNA] LSTMCell fix for GNA (#2216)
* [GNA] fix scale factor calculation for unfused bias after fc (2021.1) (#2195)
* [GNA] fix scale factor calculation for unfused bias after fc
* change check
* add test
* apply requested changes
* cpplint fix
* apply test changes
* modify model for test to match ::op::
* [LPT] Copy constant with several outputs before blob update (#2197)
* [LPT] Copy constant implementation
* [LPT] the same Constant ops as FQ interval boundaries
* [Scripts] Fixing issue with exporting path-like env when it undef (#2164)
* setupvars.sh: Added logic for exporting path env in case if it not defined
* setupvars: Removed duplicated colon
* Kept quotes where they were
* setupvars: updated copyrights
* FakeQuantize + Mul fusion (#2133)
* FQ+Mul fusion transform skeleton
* FQ+Mul fusion transform tests prep
* Basic UT for the transform
* Basic implementation of the transform
* Parametrized UTs for FQMul transform
* Parametrization of FQ+Mul UTs
* Make sure that the shapes of constants match
* Check if the mul constant matches FQ data
* CentOs compilation error fix
* PR feedback and adjusted tests
* NHWC layout of the mul constant
* UT: FQ output limits 4D
* Redundant CF pass removed
* Rewrite the graph in a different way
* Shape checking infrastructure skeleton
* Handle some negative cases
* Check the rt info in the fusion test
* Fuse all Mul nodes detected after FQ node
* Dont cast the original FQ node
* Dont throw if CF fails in new output range calculation
* More UTs
* Accept any type of input to FQ in the transformation
* Test the fusion when all FQ inputs are non-const
* Fusion test when only one output limit is const
* Extend error message (#2174)
* some nGraph KW fixes (#2176)
* Removed redundant methods
* Fixed KW for linux
* Fix QueryNetwork for networks with KSO (#2202)
* Added a test to reproduce QueryNetwork with KSO
* Fixed QueryNetwork for networks with KSO
* Added additional test
* Fixed output names for case with redundant ops before result (#2209)
* [IE][VPU]: Workaround to support parameter Beta for layer Swish (#2207)
* Workaround to full support Swish layer. It is faster than native Swish for now.
* [IE][VPU]: Remove the second call of ngraph::CommonOptimizations (#2221)
* Remove the second call of ngraph::CommonOptimizations in myriad plugin
* Reuse code with vpu ngraph transformations
* Duplicate PR 2167 for release branch: GatherTree description was extended and outdated link fixed (#2235)
* add more alrifications to description
* move clarification to comment
* pseudo code become more accurate
* review changes
* Add exposing function signatures via Cython (#2244)
* [DOC] Reshape feature (#2194)
* [IE][VPU][OpenCL] 2021.1 release compiler (#2189)
* Statically analyzed issues. (#2261)
* [IE][VPU]: Fix K propagation through Reshape (2021.1) (#2180)
* Fix K propagation through Reshape
* Add test cases
* Revert "[IE TESTS] dynavic batch for mvn layer (#1010)" (#2256)
This reverts commit 2e3378c50f.
* Fixed KW warning and review issues (#2262)
* [IE][VPU]: update firmware 1381 (#2236)
* Reverting devicePriorities to be vector and respect the order, as opposed to the incorrect (recent?) refactoring that introduced the unordered_map that effectively ignores the priorities (#2251)
* update OpenCV version to 4.5.0 (#2260)
* Add VPUX configuration to compile_tool (#2248)
* [IE][TESTS] Fix compareRawBuffers and compareBlobData methods (#2246)
Use `<=` comparison instead of `<` with thresholds.
This allows to use `0` threshold for bit-exact comparison.
* [IE][VPU]: KW fixes (#2186)
* Some KW fixes
* Fix printTo in vpu ngraph transformations
* Fix for static PartialShape detection algorithm (#2177)
* Fixes for Interpolate-4. (#2281)
* Update get_ov_update_message.py (#2286)
* Clone a specific tag for pybind11 (#2296)
* [Scripts] Fix setting PYTHONPATH logic (#2305)
* setupvars.sh: Added logic for exporting path env in case if it not defined
* setupvars: Removed duplicated colon
* install_openvino_dependencies: Updated copyrights
setupvars.bat: Updated notification about incorrect Python version. Removed checking ICC2019
setupvars.sh: Removed logic with choosing higher version of installed Python. Added dynamic detecting python3 major and minor version for setting path. Add checking minimum required Python version(now 3.6)
* Added python3-gi package and fixed libglib2.0-0 package location. (#2294)
* [IE TESTS] CoreThreading_LoadNetwork tests were disabled for GPU plugin (#2245) (#2283)
* setupvars: Updated notifications, fixed calling python in Windows case (#2318)
* Updated operations specification documents (2021.1) (#2268)
* Updated documentation structure and remove incorrect added files for Acosh-1, Asinh-1 and Atanh-1
* Fixed broken links
* Fixed c samples build (#2278) (#2304)
* Fixed c samples build
fixed CVS-38816 - Failure to build samples in C
* Fixed issue with gflags
* Revert "[IE][VPU]: Fix K propagation through Reshape (2021.1) (#2180)" (#2322)
This reverts commit d604a03ac0.
* Added ONNX Resize-11 and ONNX Resize-13 to supported frameworks layers list. (#2325)
* Implement `run_executable.py` to run `TimeTests` several times (#2125) (#2188)
CI passed
* install_NEO_OCL_driver: Updated exit codes, messages. Updated way to remove old driver on Ubuntu (#2333)
* Bump cmake version to 3.13 (#2339)
* install_NEO_OCL_driver: Added checking of installed packages before trying to remove them. Added quotes for echo. (#2350)
* convert to doxygen comments
* add doxygen doc build configurations (#2191)
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
* [DOCS] Added an evaluate method for custom operation (#2272)
* Added an evaluate method for custom operation
* Fixed comments
* Downgrade cmake for samples (#2372)
* Downgrade cmake for samples
Downgraded cmake version to default version for Ubuntu 18.04
* Updated supported python version
The minimal python version in 2021.1 is 3.5
* Added notes about cmake requirements for samples and demo
* Install dependency refactoring. (#2381)
* Updated Transformation development doc (#2370)
* Delete xfail for resolved known issue (#2385)
* Fix layout links for dl streamer and c api (#2375)
* fix layouts
* change the dl-streamer link
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
* Added link options for cross-compilation (#2397)
* Added new GSG for macOS, made minor changes in Windows GSG (#2070) (#2405)
* Added new GSG for macOS, made minor changes in Windows GSG
* Update get_started_macos.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Fixed docs build on Windows (#2383)
* layouts and code comments
* Replace absolute links to docs.openvinotoolkit.org by relative ones (#2439)
* Replaced direct links to docs.openvinotoolkit.org with relative links
* Replaced direct links to docs.openvinotoolkit.org with relative links. Added GSGs for Win and macOS
* Minor fixes in GSGs
* Replaced direct links to docs.openvinotoolkit.org with relative links
* Removed links to OpenVINO markdown files that contain anchor - they don't work in the current implementation of the doc process
* Fixed Notes
* Removed links to OpenVINO markdown files that contain anchor - they don't work in the current implementation of the doc process
* fixed link to installing-openvino-linux.md
* Update the menu to align with POT doc headers (#2433)
* Update the menu to align with POT doc headers
It changes the menu to align with Post-training Optimization Toolkit documentation titles.
* Corrected one title
Run Examples => How to Run Examples
* Added closing braсket (#2466)
Fixed syntax error (b4b03b1)
* Remove the deprecation notice (#2314)
* Removed deprecation notice
* Removed the note from other files
* [DOCS] Update Installation Guide - GPU steps (#2308)
* Initial commit
* fixing lists
* Update installing-openvino-linux.md
* Get rid of the note
* Added the scrrenshot
* Update installing-openvino-linux.md
* fixes
* separate layout
* [Docs] Update MO What's new description (#2481)
* Azure CI: Add separated pipelines for Windows, Linux, Mac
* Feature/azaytsev/benchmarks 2021 1 (#2501)
* Initial changes for 2021.1
* Inserted Graphtool scripts, updated configurations info
* Updated FAQ and minor changes to performance_benchmarks.md
* Updated for 2021.1
* Updated
* incorporated review comments
* incorporated review comments for FAQ
* fixed link
* Update build-instruction.md for MacOsX (#2457)
* Update build-instruction.md for MacOsX
* Removed call of install_dependencies.sh from the steps
* Changed layouts
* Feature/azaytsev/cvs-38240 (#2469)
* Updated for 2020 version, replaced Ubuntu 16.04 with Ubuntu 20.04
* Updated the release package numbers
* Removed FPGA from the documentation
* Updated according to the comments in the ticket CVS-37827 (#2448)
* Updated according to CVS-38225
* some changes
* Update docs for speech libs and demos (#2518)
* Made changes to benchmarks according to review comments
* Remove `--collect_results_only` (#2523)
* Remove `--collect_results_only` from MemCheckTests
* Remove CLI keys from README
* Added logo info to the Legal_Information, updated Ubuntu, CentOS supported versions
* Updated supported Intel® Core™ processors list
* Fixed table formatting
* [Jenkinsfile] Bump infra (#2546)
* [GNA] Documentation updates for 2021.1 (#2460)
* [GNA] Documentation updates for 2021.1
* Take Mike's comments into account
* More fixes according to review
* Fix processor generation names
* update api layouts
* Added new index page with overview
* Changed CMake and Python versions
* Fixed links
* some layout changes
* some layout changes
* nGraph Python API tutorial (#2500)
* nGraph Python API tutorial
* Tweaks
* Code review comments
* Code review comments
* some layout changes
* COnverted svg images to png
* layouts
* update layout
* Added a label for nGraph_Python_API.md
* fixed links
* Fixed image
* First draft of nGraph documentation (#2271)
* First draft of nGraph documentation
* updated according to review comments
* Updated
* Reviewed the nGraph Transformation section, added missing images
* Update nGraph_dg.md
* Delete python_api.md
Removed since there is already the nGraph_Python_API.md document with a comprehensive overview.
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
Co-authored-by: CCR\avladimi <anastasiya.ageeva@intel.com>
* Feature/azaytsev/docs 2021 1 (#2560)
* Removed FPGA from the documentation
* Updated according to CVS-38225
* Added logo info to the Legal_Information, updated Ubuntu, CentOS supported versions
* Updated supported Intel® Core™ processors list
* Added new index page with overview
* Changed CMake and Python versions
* Fixed links
* COnverted svg images to png
* Added a label for nGraph_Python_API.md
* fixed links
* Fixed image
* Update SW requirements in build instructions and change latest release to 2021.1 (#2565)
* removed links to ../IE_DG/Introduction.md
* Removed links to tools overview page as removed
* some changes
* Remove link to Integrate_your_kernels_into_IE.md
* remove openvino_docs_IE_DG_Graph_debug_capabilities from layout as it was removed
* Fixed links to images (#2569)
* update layouts
* Added deprecation note for PassConfig class (#2593)
* Post-release fixes and installation path changes
* Added pip install documentation (#2465)
* Added pip install documentation
* Change references
* tiny fixes of links
* Update installing-openvino-pip.md
Co-authored-by: Alina Alborova <alina.alborova@intel.com>
* Update OpenVino ONNX CI check (#2599)
* Update OpenVino ONNX CI
* Change parallel execution to single
* Enlarge timeout
* Remove timeout
* Add timeout to test execution
* Added PIP installation and Build from Source to the layout
* Fixed formatting issue, removed broken link
* Renamed section EXAMPLES to RESOURCES according to review comments
* add mo faq navigation by url param
* Skip hanging test case of OpenVino ONNX CI (#2608)
* Update OpenVino ONNX CI
* Change parallel execution to single
* Enlarge timeout
* Remove timeout
* Add timeout to test execution
* Skip hanging test
* Add description to skip issue
* Removed DLDT description
* Replaced wrong links
* MInor fix for path to the cpp samples
* fixes
* Update ops.py
* Fix style
* Improve pip installation guide (#2644)
* Improve pip installation guide
* Updated after comments
* Feature/ntyukaev/separate layout (#2629)
* convert to doxygen comments
* layouts and code comments
* separate layout
* Changed layouts
* Removed FPGA from the documentation
* Updated according to CVS-38225
* some changes
* Made changes to benchmarks according to review comments
* Added logo info to the Legal_Information, updated Ubuntu, CentOS supported versions
* Updated supported Intel® Core™ processors list
* Fixed table formatting
* update api layouts
* Added new index page with overview
* Changed CMake and Python versions
* Fixed links
* some layout changes
* some layout changes
* some layout changes
* COnverted svg images to png
* layouts
* update layout
* Added a label for nGraph_Python_API.md
* fixed links
* Fixed image
* removed links to ../IE_DG/Introduction.md
* Removed links to tools overview page as removed
* some changes
* Remove link to Integrate_your_kernels_into_IE.md
* remove openvino_docs_IE_DG_Graph_debug_capabilities from layout as it was removed
* update layouts
* Post-release fixes and installation path changes
* Added PIP installation and Build from Source to the layout
* Fixed formatting issue, removed broken link
* Renamed section EXAMPLES to RESOURCES according to review comments
* add mo faq navigation by url param
* Removed DLDT description
* Replaced wrong links
* MInor fix for path to the cpp samples
* fixes
* Update ops.py
* Fix style
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
Co-authored-by: Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: aalborov <alina.alborova@intel.com>
Co-authored-by: Rafal Blaczkowski <rafal.blaczkowski@intel.com>
Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
* Fixed CVS-35316 (#2072) (#2670)
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* [install_dependencies.sh] install latest cmake if current version is lower 3.13 (#2695) (#2701)
* [install_dependencies.sh] install latest cmake if current version is lower 3.13
* add shellcheck for Ubuntu
* install python 2.7 for Ubuntu
* Removed redundant file
* Exclude files that we didn't changed from merging
Co-authored-by: Sergey Shlyapnikov <sergey.shlyapnikov@intel.com>
Co-authored-by: Denis Orlov <denis.orlov@intel.com>
Co-authored-by: Kamil Magierski <kamil.magierski@intel.com>
Co-authored-by: Anna Alberska <anna.alberska@intel.com>
Co-authored-by: Edward Shogulin <edward.shogulin@intel.com>
Co-authored-by: Artyom Anokhov <artyom.anokhov@intel.com>
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Roman Vyunov (Intel) <roman.vyunov@intel.com>
Co-authored-by: Maksim Doronin <maksim.doronin@intel.com>
Co-authored-by: Svetlana Dolinina <svetlana.a.dolinina@intel.com>
Co-authored-by: Evgeny Talanin <evgeny.talanin@intel.com>
Co-authored-by: Evgenya Stepyreva <evgenya.stepyreva@intel.com>
Co-authored-by: Maxim Kurin <maxim.kurin@intel.com>
Co-authored-by: Nikolay Shchegolev <nikolay.shchegolev@intel.com>
Co-authored-by: Andrew Bakalin <andrew.bakalin@intel.com>
Co-authored-by: Gorokhov Dmitriy <dmitry.gorokhov@intel.com>
Co-authored-by: Evgeny Latkin <evgeny.latkin@intel.com>
Co-authored-by: Maxim Shevtsov <maxim.y.shevtsov@intel.com>
Co-authored-by: Alexey Suhov <alexey.suhov@intel.com>
Co-authored-by: Alexander Novak <sasha-novak@yandex.ru>
Co-authored-by: Vladislav Vinogradov <vlad.vinogradov@intel.com>
Co-authored-by: Vladislav Volkov <vladislav.volkov@intel.com>
Co-authored-by: Vladimir Gavrilov <vladimir.gavrilov@intel.com>
Co-authored-by: Zoe Cayetano <zoe.cayetano@intel.com>
Co-authored-by: Dmitrii Denisov <dmitrii.denisov@intel.com>
Co-authored-by: Irina Efode <irina.efode@intel.com>
Co-authored-by: Evgeny Lazarev <evgeny.lazarev@intel.com>
Co-authored-by: Mikhail Ryzhov <mikhail.ryzhov@intel.com>
Co-authored-by: Vitaliy Urusovskij <vitaliy.urusovskij@intel.com>
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: Gleb Kazantaev <gleb.kazantaev@intel.com>
Co-authored-by: Rafal Blaczkowski <rafal.blaczkowski@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
Co-authored-by: Maksim Proshin <mvproshin@gmail.com>
Co-authored-by: Alina Alborova <alina.alborova@intel.com>
Co-authored-by: Maxim Vafin <maxim.vafin@intel.com>
Co-authored-by: azhogov <alexander.zhogov@intel.com>
Co-authored-by: Alina Kladieva <alina.kladieva@intel.com>
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
Co-authored-by: Anton Romanov <anton.romanov@intel.com>
* Add Round-5 operation
* Add ONNX Round to supported operation list
* Add ngraph implementation for Round operation
* Update MO part
* Create UnaryElementwise class, update Round Operation
* Fix mode attr in mxnet extractor
* Add tests for Round shape infer
* Update 'enable' attr
* Update MO IR Reader to support UnaryElementwise operations
* Minor test refactor
* Update ngraph Round operation
* Add reference implementation
* Add test for reference implementation
* Add test for shape infer
* Add test for IE IR Reader
* AddRound operation to python api
* Fix missed mode attr
* Update Round operation version
* Fix codestyle
* Add MxNet Round to supported layers list
* Fix error in reference
* Fix comments style
* Update CMake file
* Update Ngraph reference test
* Update IE IR Reader tests
* Return v0::Round operation
* Update shape infer tests
* Fix v0::Round reference
* Fix codestyle
* Enum instead of string
* Fix codestyle
* Add Mode attribute adapter
* Update Mode attr
* Fix reference for v0::Round
* Fix codestyle
* Fix mode attr
* Fix get() method
* Fix codestyle in python api
* Update test info
* Fix ngraph api part
* Ad round v5 to interpreter tests
* Fix codestyle is ie reader test
* Update ngraph python api __init__.py file
* Adde opser5 to dafault opsets in ie_ir reader
* Add parser for Round layer
* Remove redundant spaces
* Add round creator to appropriate list
* Remove redundant import
* Commit to bump infrastructure version
I'm sorry for this, but this commit will be squashed on merge to master anyway and it is needed for your PR to correctly pass the pipeline
* Fix import
* fix codestyle
* Fix ngraph api part
* Add shape infer tests in python api
* Add .upper() for mode attr
* Refactor MO shape infer test for Round op
* Update tests and add comments
* Revert "Commit to bump infrastructure version"
This reverts commit 56e6ae1e4c.
* remove parser for Round layer
* Update Ronund-5 evaluate test
* Resolve review comments
Co-authored-by: User <user@nnlvdp-achetver.inn.intel.com>
Co-authored-by: Andrey Babushkin <andrey.babushkin@intel.com>
Co-authored-by: Anton Chetverikov <anton.chetverikov@.intel.com>
* Extend MO for operation GatherND
* Update documentation
* Rename GatherNd.py to gathernd.py
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* [MO] [Kaldi] Added TDNN Component
* TdnnComponent replacer graphical comment updated
* Added SpecAugmentTimeMaskComponent
* some refactor of memoryoffset shape_infer
* moved memoryoffset splitting to the middle stage
* some corrections
- set `need_shape_inferenc`=False in split_memoryoffset
- use cycle instead of pattern in tdnn_replacer
* separated splitting of MemoryOffsets in LSTM and TDNN blocks
* set transpose_weights=True in TdnnComponent
* Corrected Supported_Frameworks_Layers
* corrected comments
* separate naming for tdnn and lstm memoryoffset splits
* corrected BOM file
* corrected generaldropout_ext.py and removed 'has_default' for tdnn_component
* corrections after PR review
* renamed LSTM -> recurrent; added setting element_size for paired nodes of tdnn_memoffset and othe minor changes
* Update split_tdnn_memoryoffset.py
* corrected partial infer with new API in elemental.py and split_tdnn_memoryoffset.py
Evgeny Lazarev