* [GNA] Single lstm-cell test added
* Added additional config for test
* one more input and hidden shape
* Added cell with ReLU
Deleted deprecated test
* test added as lstm_cell_basic
* Enabled gna_compact_mode
Co-authored-by: Mikhail Ryzhov <mikhail.ryzhov@intel.com>
* enabled compact_mode in all tests
Co-authored-by: Mikhail Ryzhov <mikhail.ryzhov@intel.com>
* fix .ncc_style target names
it was breaking configure on system with libclang-12-dev, clang-12,
ninja and cmake 3.17+(ninja complains about duplicate
target). with lower cmake version configure succeeds, but build exits
immediately with error. by replacing ninja with make error becomes
warning(it's still significant, make just skips duplicate rules, i.e.
doesn't check style of some source files, rule duplication is genuine
bug). without libclang-12-dev and clang-12 ENABLE_NCC_STYLE is OFF and
bug is not triggered
* silence uninitialized warning in core_integration
probably it was always initialized before use, but compiler wasn't made
aware of it
* fix function spelling to unbreak code style checks in benchmark_app
* include <thread> for std::this_thread
existing code was relying on namespace pollution by old libstdc++
* replace is_pod with is_standard_layout && is_trivial
is_pod is deprecated, it breaks build on current gcc
Co-authored-by: Serhii Pavlovskyi <spavlovskyi@lohika.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
When partial build is called for dryrun, do constant propagate too.
In normal case, partial build is not doing constant propate for saving build time of internal program.
However, if partial build is called with dryrun, it will fail at transfer_constants due to the generic nodes which does not have impl.
* Update IEEngine with the Dynamic models support
* Update with the batch
* Method naming fix
* Update image_loader & tests with dynamic models
* Update test_sanity.py
* Replace custom_mo_config from the model
* Modified the workflow diagram
* Moved supported topology lists to separate topics
* Additional changes
* Removed Supported Topologies list and Deprecated pages
* Created the Model Conversion Tutorials section for instructions for specific models
* Topic names alignment, removed Default_Model_Optimizer_Optimizations.md
* Additional structural changes
* Fixed links
* heading fixes
* [MO] Remove IR frontend from available frontend list in MO
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix issue - forget to pass FEM
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix issue for TF with new FE and default legacy
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix result saving when batch size is not 1
* Remove useless if statement
* improved processing scores for model with more than one outputs
* added checking on count of model outputs
* improve if statements
* divide fix for model with several outputs to other PR
Co-authored-by: Maxim Gordeev <maxim.gordeev@intel.com>
* [GPU] update the condition for minimize_local_reorders
* Update to check needs reorder condition in quantize.
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Add coommont test of the key PERFORMANCE_HINT for AUTO plugin API 2.0.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Add common test case for config check.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Use the implemented property test case.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Written the draft of the specification of the operation RFFT.
* Started to write the specification of the operation IRFFT.
* Small fix.
* Renamed RFFT operation as RDFT.
* Fix in Operations_specifications.md.
* Written the specification of the operation IRDFT.
* Fixes in examples.
* Fixes in opset9.md and Operations_specifications.md.
* Small fix.
* Replaced opset8 by opset9 in opset9.md.
* Deleted redundant sentences.
* Small fix.
* Replaced input_shape by data_shape.
* Fixed mistypes.
* Fixes of mistypes.
* Fixed typo.
* Fixed RDFT specification, in order to perform signal_size input as in TF and PyTorch.
* Fixes in examples for RDFT.
* Fixes in the output shape calculation of IRDFT. Now this calculation is as in TF and PyTorch.
