Also:
Simplified logic of data object name restoring. Avoid duplicatin of input ports
in case of multiple consumers. Provided code has WA comment in corresponding
naming restore section. Also added WA section with restore U8 precision for ouputs.
Avoid to eliminate limitation of CNNNetwork converter.
Signed-off-by: Alexander Peskov <alexander.peskov@intel.com>
* [LPT] functional tests: FakeQuantize with dynamic intervals
* [LPT] decomposeFakeQuantize: removed debug info
* [LPT] Add NetworkHelper::mark_as_dequantization_op function
[ngraph] Fix compare runtime info function
[LPT] Fix test cases with no DEQUANTIZATION runtime attribute
[LPT] Change include path for dequantization op
* [LPT] Remove Subtract functional test, enable and rename legacy tests
Co-authored-by: Vladislav Golubev <vladislav.golubev@intel.com>
Co-authored-by: Aleksandr Pertovsky <aleksandr.pertovsky@intel.com>
* added OpenVINO Model Server
* updated documentation to include valid links
* minor fixes
* Fixed links and style
* Update README.md
fixed links to model_server
* more corrections
* dropped reference in ie_docs and minor fixes
* Update README.md
Fixed links to Inference Engine pages
Co-authored-by: Alina Alborova <alina.alborova@intel.com>
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
* [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
* [MO] fix file permissions for install location
Eltwise + ReLU merge is expected to be performed unconditionally
in all cases and since it does not require strides to be defined
could be performed before adjustDataLayout pass.
Unfortunately, there are cases with unexpected degradation after
such a change is introduced. In specific case it seems to be
caused by degradation in HW operation (convolution). It was not
investigated completely and reason is still unknown (convolution
itself remains unchanged in network, but for some reason works
slower).
It has been decided to introduce change only in case of dynamic
models to have performance benefit for some cases and avoid
degradations in others.
Moving mergeEltwiseAndReLU pass before adjustDataLayout for
dynamic cases allows to get additional performance gain due to
lack of extra copy stages introduced in adjustDataLayout.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU][GT]: Introduce Split by dynamic dimension check
At the moment, myriad plugin does not support split operation
by dynamic axis. To be sure there is no issue with optimized-out
split operation which should have been replaced with copy
stage - assertion before DTS transformation is introduced.
Check should be performed before loop with DTS transformations
because it requires dynamic context (dynamic dimension should be
visible as dynamic), otherwise dynamic dimension would be
replaced with upper-bound estimation and check will always pass.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][nGraph]: Fixes normalize_axis symbol exporting
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* Remove 49 operators from layer creator
* Remove debug code
* Add specificCreator for deconvolution
* add specificCreator for logical not
* Fix concat creator behavior for negative axis
* add creator for TopK, overrides for visit_attribute methods
* remove layerCreator templates for removed ops
* Disable exception check for Deconvolution and TopK
* add specificCreator for stridedSlice
* add specificCreator for DetecionOutput
* resolve conflict with batchNormInference changes
* fix detection output visit_attributes for some of the bools
* Remove Ceiling from LayerCreator
* Change detectionOutput param validation to expect bool instead of uint
* detectionOutput specificCreator to set bool params as int strings
* Add vector of integer value accessor handling to xml deserializer.
* Fix indentation
* Add IEGeneric node type handling.
* Remove dependency on plugin_api library.
IEGeneric type name is passed via Visiotr API as new syntetic atribute.
* Add custom operations support
* Fix charachter literals comparison.
* Pass custom opsets to CNNNetwork:serialize().
IE extensions are stored in ngraph CNNNetwork and later used to pass
custom opsets to serialization transformation.
* Refactor custom ops tests to use template_extension library.
* Add comment on __generic_ie_type__ purpose.
