* revise tan op
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* update doc
add examples in desciption
add the unit of measure
clear input type
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* add template plugin test case for int type
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* add template plugin test case for uint and float
remove the float test in backend
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* modify document
change type to any supported numeric type
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* fix compile error in openvino-lin
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* [clDNN] Handle negative axis in concat op
That enables following models for onnx importer path:
yolact-resnet50-fpn-pytorch
yolact-resnet101-fpn-pytorch
yolact-darknet53-fpn-pytorch
swin-tiny-patch4-window7-224
action-recognition-mkinetics-res34-mhsa
driver-action-recognition-adas-0002-decoder
horizontal-text-detection-0001
* Add tests for negative axis in Concat op
* init version, need revise: opset7
* add convert testcase
* multiclass_nms support spec
* init version
* matrixnms support spec
* init support for matrix_nms
* impl matirx_nms
* implemented multiclass_nms reference.
TODO: more test cases.
* support dynamic shape in test
* update to spec 0611
* update to spec 0611
* fixes.
* fix: now sort by class_id and score work.
* fix clang check error
* more test cases verified.
* fixes in ref impl.
* attribute nms_eta works
* test cross_batch and output_type i32.
* enable multiclass-nms cpu plugin fallback ngraph
* keep topk typo
* enable matrix-nms cpu plugin fallback ngraph
* support sort_result_across_batch
* Add matrix_nms unit test
* Add cross batch test cases
* fix typo
* move multiclass to opset8
* move matrixnms to opset8
* Reference implementations for MulticlassNms and MatrixNms ops
* fix name conflict
* remove unused var
sort_result_across_batch default set to false
* avoid float overflow
* fix clang check error
* info for mac fail
* change testcase due to unstable sort
* nms add 'normalized' attribute
* multiclass cpu test support 'normalized'
* nms add 'normalized' attribute
* fixes: 1. normalized support. 2. sort by score before keep_top_k inside a batch.
* fixes: 1. normalized support. 2. sort by score before keep_top_k inside a batch.
* fix sort order in matrix_nms
* fix review comments
* add matrix_nms MKLDNN extension layer
* parallel in matirx nms
* separate filtered_box
* separate class_nms result
* parallel in class
* parallel in batch
* partial new nms
* partial remove useless function
* debug & fix
* debug in indexing
* fix test cases
* remove logging
* fix code-style
* fix typo
* add matrix_nms extension
* nms python api
* remove unused testcases
* refactor transformation
* transform dynamic shape to static shape
* Update inference-engine/src/transformations/include/ngraph_ops/nms_static_shape_ie.hpp
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* remove register_pass call
* [MKLDNN]migrate matrix_nms to MKLDNNNode
* bug fix in matrix_nms
* padding on matrix_nms
* remove logging
* test case refine
* merged transform_matrix_nms branch
* refine matrixnms testcase
* multiclass nms cpu plugin implement for static shape, rebased on Reference implementations PR
* rebase to new multi-classs transform provided by lc
* Name style algin with matrix-nms
* static shape padding style to batch inside,new unit test method, real classnum shape
* fix format
* fix ci error
* multi-class NMS modification based on PR reviewer opinion: code format, copyright, delete unused include and funciton way
* explicit template instantiation due to mac ci fail
* Yi3/fix review (#16)
* fix coding style
* use parallel_for2d
* fix ci fail
* unify 'copyright 2021'
* mkldnn_multiclass_nms node update based on PR review (#17)
* [MKLDNN] apply suggestion for matrix_nms (#18)
* fix bug
* apply review comments
* apply review comments
* apply review comments
* apply review comments
* skip only Nms test, not MatrixNms MulticlassNms test
Co-authored-by: Zhang Yi3 <yi3.zhang@intel.com>
Co-authored-by: jialipen <cecilia.peng@intel.com>
Co-authored-by: mangguo <mang.guo@intel.com>
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: liubo-intel <bo4.liu@intel.com>
* Revise Erf OP sepc
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Revise the NGraph Erf OP implment to switch to RTTI.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Remove the duplicated Erf in the activation type vector.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add NGraph visitor API test case.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Enalbe the Erf visitor API CmakeLists.txt.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Revise the Erf OP backend test
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Migrate to use the template test.
* Add erf type_prop test.
* Update the license
* Unary Visitor test template fix
-Migrate OP Tanh to use RTTI;
-Remove the using namespace in the header file
-Migrate the Swish and Tanh visitor test to use template code
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Revert "Unary Visitor test template fix"
This reverts commit b686c933d3.
* Update the doc format.
* Update the document format and description.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add Erf OP into the layer test summary list
* Migrate the Erf backend test into template_plugin infrastructure
* Update the Erf supported input type.
* Remove the boolean type support in erf reference implement.
validate_and_infer_elementwise_arithmetic() will fail with boolean type.
* Update the erf test with all supported types.
* Update with separate namespace of CommonReferenceTest
* Add visitor and backend tests.
* Add reduction_axes to SLTs, serialization and backend tests.
* Update backend tests.
* Move backend tests to template plugin, remove old ones.
* Apply correct format.
* Add BF16 to SLT, add comment regarding deprecated class.
* Remove BF16 precision as it is not supported in windows, no default values for attributes.
* Reuse Tensor from base_reference_test.hpp
* minor changes in Op class and add ref impl for acosh
* acosh in new test framework
* add Acosh type test
* add SLT for Acosh
* run more test
* new acosh plugin test
* add visitor test
* fix test utils
* add template test for all supported types in Acosh
* add builder to template tests
* update grn template_plugin test
* update maste to feature branch
* fixed crash related with loading model with fq and sigmoid
* renamed multiple_input.* to multiple_input_fq.*; removed two unnecessary FQ layers from smoke_fq_fusion_with_sigmoid test; moved FQ params to test params
* update docs
* add sign to intActivationTypes
* add RTTI macro
* update backend test
* add type prp test
* add visitor test
* add visitor and type_prop test to CMakeList
* add sign to constants.py
* delete backend tests and create new reference tests
* style fix
* remoove sign backend test from CMakeList
* create reference test for all supported types
* remove boolean type from evaluate method
* new implementation of FakeQuantize
* move FakeQuantize backend test to fake_quantize.in.cpp
* enable some test for FakeQuantize
* Add support for PDPD broadcasting and some backend tests
* arm plugin expect less attributes in function call
* try to fix arm plugin build
* try to build arm plugin
* start changing backend test
* add check for attributes number in visitor test
* fix backend test after refactoring
* add default parameter value to runtime::reference::fake_quantize
* Revert "add default parameter value to runtime::reference::fake_quantize"
This reverts commit 9d2c00d967.
* add SLT for FakeQuantize
* remove fesetround
* change `v1` namesapce to `v0` in ref impl
* add FakeQuantize-1 to VERIFIED_OP_REFERENCES
* pass immutable reference to test functions
* Add GRN shared single layer test instance for CPU
* Remove GRN backend tests from fused_op.in
* Init GRN new template reference tests
* Add more bias values to GRN single layer tests
* Add more GRN template reference test cases
* Remove unused parameter from GrnParams
* Refactor GRN template referene tests and add more types
* Add anonymous namespace
* Add bf16 type to cpu single layer tests
* Add Serialization test
* Add GRN to revised ops
* Move type prop tests to separate file, add cases with exceptions thrown
* Add visitor test, add step to pbc attributes
* SLT for CPU, adjust GPU and SSLT to serve the step attr
* Add backend test
* Fix variance issue, verify by SLT
* Formatting fix
* Add another backend testcase
* Add PriorBoxClustered to trusted ops list
* Add step attr description, remove obsolete comments from ref impl
* Test multiple step values in SLT
* [GNA] Add fake quantize support for convolution padding
Combine seven ngraph matcher passes into two.
Remove max pool size checking.
Add ngraph reference tests for subgraphs which were processed by POT.
Fix remaining issues with Max Pooling output calculations.
Add setting of default compile target based on execution target.
* [GNA] Remove redundant subgraph matcher
* [GNA] Remove redundant subgraph matcher
* [GNA] Use built in ngraph padding calculation
* [GNA] Use less channels for tests
* [GNA] Rename tests file
* [GNA] Add ngraph reference tests and some minor fixes in the transformation itself
* [GNA] Add invalid ngraph reference tests
* [GNA] Align brace style
* [GNA] Remove unnecessary condition
* Enable lower input rank for BatchToSpace operation by fallback
* Added conditions to check valid data input rank for evaluate and has_evaluate methods
Szymon Irzabek