* 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
* 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
* Add MSFT models to OpenVino ONNX CI and update xfails
* Update paths
* Fix typo and update xfails
* Unset xfails to check current behavior
* Update:
* add MSFT models to preprocesing script
* update xfail names
* Final update of xfail test cases
* Update xfail paths
* Update xfails
* Uncomment part of preprocesing script
* Update script
* Add cleaning support for MSFT preprocesing
* Add -e option to script help
* Initilze variables
* Update ngraph/python/tests/test_onnx/model_zoo_preprocess.sh
Fix a mistake
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
* Update ngraph/python/tests/test_onnx/model_zoo_preprocess.sh
align spaces
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
Co-authored-by: Tomasz Socha <tomasz.socha@intel.com>
It uses CMake 3.16 built-in utilities to speed up build time:
* Unity builds
* Precompiled headers
The feature is controlled via `ENABLE_FASTER_BUILD` CMake option (disabled by default).
The option avaialble only on CMake >= 3.16.
The feature is enabled per-target via `ie_faster_build` function.
Some observations:
* Don't have actual numbers for compile time, but subjectively can see
speed up locally with VS 2019.
* Unity builds gives much more effect, but has some restriction on source files,
so are not used everywhere.
* [IE][VPU]: Fixes addCopyForOutputsInsideNetwork
In case of dynamic output with consumer pass tries
to connect output's shape with new intermediate data
twice: one at the moment of duplicateData call (successful)
and once more at the end of the pass manually. The second
try leads to error since child data is already connected.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Introduces tests on addCopyForOutputsInsideNetwork
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* Change request.infer to use param_names instead of request._input_list because it fix the bug
* remove xfail mark
* remove xfail_issue_35893 form tests/ __init__.py
* Remove xfail_issue_35893. Add OnnxBackendNodeModelTest.test_convtranspose_3d_cpu to xfail_issue_38091
* Remove OnnxBackendNodeModelTest.test_convtranspose_3d_cpu from xfail_issue_38091 in test_backend.py
- introduced type_dispatch primitive
- refactored SplitX and MergeX kernels to use type_dispatch
- extended SplitX and MergeX to support 8S, 16U, 16S, 32S types
