* [GPU] Implement Roll kernel
* [GPU] Add Roll kernel selector
* [GPU] Add Roll primitive
* [GPU] Add Roll helpers
* [GPU] Implement unit tests for the Roll operation
* [GPU] Add Roll operation to GPU plugin
* [GPU] Add single layer tests for the Roll operation
* [GPU] Add changes after review
* [GPU] Improve cldnn unit test
* multiclass_nms opset9 spec, api, reference, paddle fe mapper, paddle fe unittest.
* multiclass_nms opset9 cpu node impl.
* multiclass_nms opset9 shape infer fix.
* multiclass_nms opset9: add transform ConvertMulticlassNms8ToMulticlassNms9.
* ConvertMulticlassNmsToMulticlassNmsIE: to MulticlassNmsIEInternal
* add test dependency package paddledet==2.1.0
* 1. fix for roisnum overflow. 2. common shape_infer private function.
Signed-off-by: jialipen <cecilia.peng@intel.com>
* 1. use common infer_shape helper. 2. fix roisnum overflow issue. 3. fix for nmsWithEta.
* test suite for opset9 multiclass_nms smoke tests pass, with both static and dynamic shapes.
code clean for unit test.
* decouple specification from this PR.
* op fuzzy: dynamic input/output
* reference impl refactor
* multiclass_nms_base no need clone_inputs.
* code clean
* restrict ppdet import
* fix clang format error
* change ppdet import to resolve CI fail issue related to its dependency.
* fix CI
* refactor: multiclass_nms_shape_inference for opset9 and reference impl.
TODO: could be applied to opset8 and even matrix_nms.
* fix CI build failure.
* CI fix for ambiguous namespace reference issue when
building static libs.
* update nms save_model python scripts.
* dynamic inputs for NMS with CPU plugin.
* copyright header for test scripts.
* op comformance test for multiclass_nms_9.
* minor update: is_type
* python opset9 and multiclass_nms
* flake8 CI fix
flake8 CI fix
flake8 CI fix
* remove NmsBase. stage1.
flake8 CI fix
remove NmsBase. stage 1 fix.
* rm NmsBase. stage2.
* more multiclass_nms prop tests and fix.
* remove unchanged ops from binding opset9.
* dependcy of paddle_tests.
* fix: add MulticlassNms to op mapper.
* clang format fix
* fix merge error.
* [GPU] Modify Softmax single layer tests to check Softmax-8 is supported with axes in [-rank, rank) interval
* [GPU] Fix cldnn::softmax::dimension_t documentation
* [GPU] Fix ParamsKey::EnableSoftmaxDim
Support Z dimension.
* [GPU] Add Softmax single layer test that checks 5D case
Since some Softmax kernel code contains ifdef on 5-dimensional case,
a test case is needed that covers this functionality.
* [GPU] Support axis 0 in Softmax
* [GPU] Modify Softmax single layer tests to check axis 0
* [GPU] Modify Softmax items class optimized kernel to handle axis 0 correctly
Modify single layer test accordingly.
* [GPU] Modify Softmax unit-test to check softmax::normalize_b
* Split SoftMaxLayerTest into opset1 and opset8 versions
Use SoftMax8LayerTest in the tests throughout repository.
SoftMaxLayerTest now defaults to SoftMax1LayerTest for compatibility.
* [GPU] Add f16 test-case for Softmax single-layer test
Co-authored-by: tgubanova-lohika <tgubanova@lohika.com>
* dft with single layer test
* idft with single layer test
* fix output param usage in dft
* update dft according to the clang-format
* move output layout setup to calc_output_layout
* add support for other dimensions
* add clDNN unit test for DFT/IDFT
* remove unnecessary original rank
* use defined formats in kernel
* fix dft docs
* changes after review
* Revert "fix dft docs"
This reverts commit 45b05172dfd161d92dae6d26e0f1b74748e56fd5.
Co-authored-by: Serhii Pavlovskyi <spavlovskyi@lohika.com>
Co-authored-by: Mykhailo Hnap <mhnap@lohika.com>
* Add single layer tests for GPU
* Add GPU primitive for ExperimentalDetectronGenerateProposalsSingleImage
* Add kernel for ExperimentalDetectronGenerateProposalsSingleImage
* Add unit test
* rename abbreviation edgpsi to the full name experimental_detectron_generate_proposal_single_image
* Add f16 support to operation
* Add f16 support to the unit test
* Add notification about the second output in primitive
Co-authored-by: Oleksii Khovan <okhovan@lohika.com>
* Added shell for Eye-9
* Updated spec for Eye-9
* Added reference for Eye-9
* eye cpu
* Added op impl check for Eye-9
* Fix unallowed dynamic to static dim conversion in eye shape_infer
* Add template plugin tests for dynamic shapes
* Add template plugin tests for dynamic shapes batch input
* Enable batch shape input dynamic rank
* Uncomment 3D batch cpu Eye tests
* Update assertions and messages
* use ov::element type
* Remove redundant evaluate from eval map
* Style fix
* Add static_cast<T>(1) to cpu eye
* Add defaults to eye cpu class members
* Reuse out_ptr and checks
* Reutrn if onesPerBatchNum == 0
* Add Eye CPU Dynamic shape tests with 2D batch
* Additional test cases for CPU and reference
* Disable 3D batch eye cpu tests
* Fix CPU implementation for matrix with not equal cols and rows
* Update CPU test name
* Disable CPU Eye 3D batch static shapes tests
Co-authored-by: Alexandra Sidorova <alexandra.sidorova@intel.com>
Co-authored-by: Yury Gaydaychuk <yury.gaydaychuk@intel.com>
* roi_align_9: ov_core, transformations, template_plugin
* roi_align_9: CPU Plugin
* keep only constructor with enums which is aligned with spec
* remove evaluate function for ROIAlign_9
* Add op check test for operation ROIAlign-9
* Apply suggestions from code review
* fix version name from 'v0' to 'v3' in transform part
* use common shape_infer function for v3 and v9
* remove'tf_' prefix for ROIAlign::AlignedMode to avoid misleading for models from different platforms
* Einsum test helper
* Einsum single layer tests
* Add Einsum decomposition with repeated labels and ellipsis support
to GPU transformations pipeline
Co-authored-by: Oleksii Khovan <okhovan@lohika.com>
Check first whether the path specified by --input_dirs is a directory.
Otherwise the argument is always treated as a .lst file,
and in case it is a directory it silently fails,
which causes the test runner to not execute any tests intended.
* Try to improve gflags
* Try to improve gflags: part 2
* Tried to use dependencies on system
* Use nlohmann_jsonConfig from system
* Enabled nlohmann_json from system
* Improvements
* handle system gflags in developer package
* Simplifications
* Simplify dependency management
* Corrected package names
* Fixed subgraphsDumper configure stage
* Try to fix rhel8
* Try to fix macosx
* Fixed VPUX build
* Fixed aliasing issues
* Suppress some wanrings
* export gflags when build it
* Fixed some LTO
* Try to fix Mac
* revert
* use gflags as private dependency
* Aligned targets in developer package
* Fixed frontends tests build on U20 with LTO
* PAssed
* Don't use pkg_search_module(zlib ..) during cross-compilation
* Removed unused variables
* Fixed finding of zlib during cross-compilation
* CVS-83529
* Use nothreads_static
* Fixed python
* Moving PWL to ngraph
* improving the running time of php_search; refactoring the pwl operation
* fixed erros & refactored code
* moved PWL op to GNA
* Update src/plugins/intel_gna/ops/pwl.hpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* Update src/plugins/intel_gna/ops/reference/pwl.hpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* Update src/plugins/intel_gna/ops/pwl.cpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* Update src/plugins/intel_gna/transformations/transpose_to_pwl.hpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* Update src/plugins/intel_gna/transformations/transpose_to_pwl.cpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* fixed compilation error
* Update inference-engine/tests/unit/gna/ngraph/transformations/gna_pwl.cpp
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* added some tests; changed algorithm of checking accuracy of pwl; refactoring
* added first and last segments; added fq and fixed errors
* fixed after review & rewrote some tests on ngraph
* removed debug logs & fixed code style check error
* s/ngraph_helper/ngraph_util
* removed TRANSFORMATIONS_API in PWLApproximation class declaration
* removed OPENVINO_API in Pwl class declaration
* replaced the deprecated version of evaluate() with a new one
* fixed some problems after reviewing
* fixed a problem when a value of function of left point of segment is less than minimum of function
* corrected a value of the right point of last segments
* [GNA] Moved pwl func tests
* Deleted deprecated test
* s/OPENVINO_RTTI/OPENVINO_OP
* Deleted conflicted test file
* fixed after review
Co-authored-by: Dmitrii Khurtin <dmitrii.khurtin@intel.com>
Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
* DynamicShapeResolver is able to save information about dynamic output in order to pass it in INFER_DYNAMIC_SHAPE mode. Previously, it propagated fully dynamic output shape (however ranks were equal) and dynamic Convolutions and Poolings were performed incorrectly. Now in the case of dynamic batch, DSR propagates only dynamic batch and Convolutions and Poolings are performed properly as a Loop of single-batch operations.
* Fixed dynamicToStaticShapeTranspose transformation. There was a bug: transposition indices could not be applied with Scatter because the formula is not applicable for this. Replaced with Gather.
i.e. Shape of output tensor of Transpose with transition [0,3,1,2] indices (NHWC [1, 224, 224, 3]->NCHW [1, 3, 224, 224]) was calculated by ScatterElementsUpdate. So output_shape[transposition[i]] = input_shape[i] and the result was output_shape=[1, 224, 3, 224] which was wrong. Vise-versa Gather does output_shape[i] = input_shape[transposition[i]] and the result is [1, 3, 224, 224] which is right.
* MaxPool and AvgPool can be sliced for loop in case of dynamic batch
* Convert stage for inputs is not inserted in the VPU model in the case of OV API 2.0. It did not cause a problem with non-dynamic functions because Graph Transformer has a pass to eliminate redundant converts (u8->f16, ~f16->f16~). In the case of dynamic inputs, yet another inserted Convert breaks data<->shape relations.
* Try to improve gflags
* Try to improve gflags: part 2
* Tried to use dependencies on system
* Use nlohmann_jsonConfig from system
* Enabled nlohmann_json from system
* Improvements
* handle system gflags in developer package
* Simplifications
* Simplify dependency management
* Corrected package names
* Fixed subgraphsDumper configure stage
* Try to fix rhel8
* Try to fix macosx
* Fixed VPUX build
* Fixed aliasing issues
* Suppress some wanrings
* export gflags when build it
* Fixed some LTO
* Try to fix Mac
* revert
* use gflags as private dependency
* Aligned targets in developer package
* Fixed frontends tests build on U20 with LTO
* PAssed
* Don't use pkg_search_module(zlib ..) during cross-compilation
* Removed unused variables
* Fixed finding of zlib during cross-compilation
* added recursive run for transformation to fix fp16 IR with Interpolate inside If
* added test for interpolate inside If
* remove useless variable
* fixed transformaion for divide
* fix code style
* commit auto change
* review fix
* add test for recursive call of divide marks
* removed empty line
Kelvin Choi
Artur Kulikowski
Mateusz Bencer
Katarzyna Mitrus
guozhong wang
Mykhailo Hnap
Paul Youngsoo AhnandVladimir Paramuzov
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Krzysztof Bruniecki
Chenhu Wang
Szymon Irzabek
yanlan songandChen Peter
Jan Iwaszkiewicz
Wilson Seok
Mateusz Tabaka
Ilya Lavrenov
Irina Efode
Maksim Doronin
Egor Shulman
Vladislav Volkov
Svetlana Dolinina
Mikhail Letavin
Maxim Andronov
Edward Shogulin
Maksim Derbasov