* Added tests
* Changed iterator algorithm
* Fixed legacy tests
* Added plugin tests
* Disabled some tests
* Remover parameter tests
* Fixed conversion
* Use old approach for old tests
* Temp commit
* Fixed iterator
* Fixed some tests
* Change logic to compare iterators
* Disabled CPU functional test
* Temp commit
* Disabled test for GPU
* Fixed network copy
* Try to fix test for Windows
* Disabled test for GNA
* Disable plugin tests
* Disable legacy test
* Remove redundant code
* 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>
`GetBlob()` as well
- test were extended to cover case when input tensors are copied into
Blob return by `InferRequest::GetBlob`
- channel number of input tensor is made a test parameter
* Sync GNA lib calls to avoid multi threads and plugins crash
* Remove TODO
* Enable sync for GNA1
* Fix GNA1 sync
* Add core_threading_tests to GNA Plugin to address story 31709
* Disable and change test description
* fix typo in LRN docs
* fix link to reference in LRN doc
* LRN, LRN_IE types alignment with spec
* align LRN ref implementation to plugins behavior
* update LRN docs
* Improve LRN reference implementation performance
* restore LRN constructor with no axes in the input
* apply code format
* revert double->float size_t->int change
* small fix to example in doc
* revert double->float size_t->int in onnx_importer and backend tests
* Changes to docs after review
* Loop op ngraph implementation, update IE IR Reader and ngraph to cnn converter
* refactoring SubGraphOp class
* type prop unit tests
* ngraph code style
* update comment
* single layer tests for Loop operation
* fix file name
* Add SpecialBodyPorts attribute in Loop op, update single layer tests
* add several new tests cases, strict checks in Loop impl, temporary disable single layer tests
* ngraph codestyle, refactoring, clone_new_args test
* resolve review remarks
* fix build
* fix tests
* add a new constructor of Loop op, resolve review remarks
* added unit test
* added python test
* using pword approach
* Added passing path to onnx reader
* support for wstring
* Added more tests
* Apply suggestions from code review
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
* fix build for Windows
* styles applied
* Fixed Windows tests
* styles applied
* fixed styles in tests
* review remarks
* cmake order
* Used target_compile_definitions instead of add_definitions
* Move ONNX_TEST_MODELS to other scope
Co-authored-by: Michał Karzyński <4430709+postrational@users.noreply.github.com>
* Initial movement
* Divided transformations to common and legacy
* Changed ngraph visibility to ie_api.h
* CommonTransformaitons to Internal
* New trasnformations location structure
* fixde typo; move convert_quantize_dequantize to common
* Added control_flow folder
* Add tests, examples and documentation changes for custom ONNX operators registration mechanism
* Change snippet paths
* fix CoreThreadingTests.ReadNetwork - data race in ops_bridge
* Make TemplateExtension::Operation externally visible
* changes after review
* apply code format
* use std::int64_t
* forward declare get_attribute_value specializations
* introduce unregister_operator in onnx_importer
* onnx_custom_op - lock mem first then take a buffer
* func tests - create template_extension via make_so_pointer
* fix build with NGRAPH_ONNX_IMPORT_ENABLE=OFF
* remove exports from Operation and Extension
* Move multithreaded AddExtension test to different directory to it can be excluded when NGRAPH_ONNX_IMPORT_ENABLE=OFF
* Dont include Extension tests if ENABLE_MKL_DNN=OFF
* fix excluding onnx_reader tests
* include extension tests only if mkl is enabled
* add comment on empty blob
* use register_operator conditionally in template_extension
* fix docs after review
* create static library from onnx_custom_op
* add additional test for unregister_operator
* move model example after register step
* revert changes to unit tests
* update ngraphConfig.cmake.in header
* add headers to onnx_custom_op
* changes to docs CMakeLists
* remove redundant onnx_importer dependency
* remove extension directory from func tests
* make onnx_importer a component of ngraph package
* docs fixes
* update header of ngraph/cmake/share/ngraphConfig.cmake.in with ngraph_onnx_importer_FOUND
* concat input not used fix rough implementation
* [GNA] Cascade concat input not assigned fix
* reduce copying in recursive function
* [GNA] Aligned cascade concat test
* [GNA] fix cases when layer output is used in both memory and concat parent layer
* coma fixes
* Issue-36189 CopyLayerPass for concat parent cases fix test
* Fix test for CPU
* Remove test for GPU
* [GNA] get output before activation test
[GNA] SubstituteScaleShiftBroadCastPass fix for cases when there are multiple scaleshifts as an output from the layer
[GNA] Generalize Fix where LSTMCell output was zero due to being fused into activation
[GNA] Fix LSTMCell being zero on channel C if being output layer
* linux build fix
* Sync GNA lib calls to avoid multi threads and plugins crash
* Remove TODO
* Enable sync for GNA1
* Fix GNA1 sync
* Add core_threading_tests to GNA Plugin to address story 31709
* Move passes to CommonOptimizations
* Updated BN tests to use ranges for constant value generation
* Added some decomposition passes into legacy conversion
* Added WA for FQReshapeFusion pass
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.
