* 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>
* Mod operation specification refactoring.
* Add dummy broadcast_rules.md.
* Minor fixes, e.g. capitalize operation names, typos.
* Add comment about division by zero.
* Division by zero update.
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* 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
* Fixed bug in AssignElimination.
* Removed out edges check from assign elimination.
* Moved Assert to AssignElimination transformation.
* Renamed transformation, added comment.
Allow the second output of CTCGreedyDecoderSeqLen to be nullptr in cases when it is not used but calculated in the Myriad plugin. In this case, parse the second output as FakeData
* Update spec for ADD operation.
* Change back quote for attribute name and value.
* Update link for auto_broadcast attribute.
* Move detailed description section, add suto_broadcast attribite to examples.
* Remove github link in numpy attribute description and replace it with local link.
* Add brodcast_rules.md for specific broadcast rules.
* Add new line at the end of broadcast_rules.md, modify font for add inputs.
* Change link for Broadcast_1.md
* Add description of broadcast in broadcast_rules.md
* Correct output shape description.
* Add bidirectional broadcast description and new examples.
* Add description for auto_broadcast types: None and PDPD.
* Add examples for pdpd and bidirectional broadcasts, add pdpd attributte for Add, modify Broadcast ops to refer broadcast_rules file.
* Duplicated 'openvino_docs_ops_broadcast_rules' label change.
* Add example with scalar for bidiretional broadcast.
* Add new lines for examples.
* added condition to disconnect method
* add unittest, rewrite the fix
* revert the second implementation, update test
Co-authored-by: yegor.kruglov <ykruglov@nnlvdp-mkaglins.inn.intel.com>
* Fixed transformation to pull constants into Loop body
* Improved check that the value for Parameter node is not changed during iterations if the back edge exist
* Added unit tests for common_bfs function
* Stilistic changes
* Fixed typo
* Moved a check into the parameter_unchanged_after_iteration function
