* Update to the latest cmake for Windows
* Skip new warnings
* Added compiler flags for old cmake
* Disabled some warnings
* Suppress new warnings
* Fixed some errors
* Disable some warning for lpt
* Fix some warnings
* Disable new warnings
* Fix some warnings
* Disabled Was error for arm
* Fixed some errors
* Fixed some new warnings
* Fixed auto plugin
* Fixed Windows warning
* Fixed Windows
* Disable some warnings
* Some changes
* Small test fixes
* Fixed python build
* Added skip warnings for legacy python API
* add parameterized test
* add blocked layouts support
* support for mixed input formats
* fix RHEL 8.2 build
* add scatter_elements_update to whitelist for blocked formats
* Added bs_fs_yx_bsv16_fsv32 format
* Build code snippets together with doc
* Added separate step for code snippets
* Try to enable CI step
* Disabe myriad
* Try to fix Windows
* Detect number of cores
* Reduced build time of code snippets
* add unit test for reorg_yolo
* add validation to reorg_yolo kernel
* add blocked formats support
* remove non-working yxfb optimization
* add reorg_yolo to whitelist for blocked formats
reorder_input has the issue when using generated reorder case.
And handle_reshape has only handle 4 dims (bfyx), so support 5, 6 dimes
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Changed GNA library version from 1455.2 to 1815
* fixed new URL to GNA in cmake
* fixed gna lib version in linux CI
* use Gna2ExportTlv from new library
* Updated GNA to 1815.1
* Use eltwise_shape_infer form shape_inference in validate_and_infer_elementwise_args
* Align Unary ops, remove redundant validate_and_infer_elementwise_args usage
* Add test with default constructor for BinaryElementwiseArithmetic ops
* Style apply
* Fix expected error message
* Add common shape_infer tests for BinaryElementiwiseArithmetic ops
* Remove old Add test
* Update NGRAPH_CHECK to OV ASSERT
* Removal of redundant autob param to the validate function
* Tests update
* [GPU] Fixes for infer request impl in dynamic cases
* [GPU] Fixed incosistent output shapes for LSTMSequence op
* [GPU] Update network::get_output_layout method
* [GPU] WA for USM memory allocations with 0 bytes
* Add interval dim test to Concat op
- use common test fixture for PartialShape OK scenario
* Use get_shape_labels in Concat tests
* Add label_evaluate test for Concat op
* Add validation util to check no labels in tensor
* Add template shape inference for Concat op
* Move Conact evaluate_label test to evaluate bounds
* Fix cpplint issue
* optimize models on batch16
* add is_os_yx_isv16_osv8 to format_traits_map
* choose onednn deconv
- remove checking deconv cross-precision
- implicit concat could not support byxf.
Co-authored-by: Jade Cho <jade.cho@intel.com>
* Update primitive, primitive_inst, and program_node for multiple outputs support
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Update arg_max_min kernel for multiple outputs support
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Fix failed unittests TCs
- remove duplicate output memory
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Clean up code
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Apply code review
Signed-off-by: Andrew Park <andrew.park@intel.com>
Signed-off-by: Andrew Park <andrew.park@intel.com>
* Fixes for brew support on OSX
* Added new policy
* added quotes
* Used OpenVINODeveloperPackage
* Extra fixes
* Use standard verbose variable
* Fixed pkg-config generation
- Enable per-tensor zp on AVX512_VNNI and AVX512_AMX ISA to use BRGCONV kernel.
- Fix brgconv should not be disabled correctly in some INT8 model which has binary postops
- Merge optimization of convolution attribute PR to lower down the load network time latency
- Only enable conv/group conv S8 input on AMX. Non-AMX same with 2022.1 LPT input precision config.
* [GNA] Move tests to plugin dir
* reverted temporary fix
* Added linux specific compiler flags
Co-authored-by: Adam Tumialis <adam.tumialis@intel.com>
* Set 'UNDEFINED' as the performancehint default value. Update benchmark app to pass performance hint with none value to MULTI/AUTO plugin.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Using 'UNDEFINED' as the default value of hint in AUTO/MULTI plugin.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Adding a flag instead of adding a default value of hint to check if user configures the performance hint to AUTO/MULTI plugin.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update benchmark python version.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* add static_output attribute to enable GPU implementation of GenerateProposals.
This change may be reverted when dynamic shapes support will be implemented
in GPU plugin.
* - add GPU single layer test;
- add normalized attribute to SLT.
* add GPU primitive for GenerateProposals
* add kernel for GenerateProposals
* add unit test for GenerateProposals
* add blocked layouts support
* tidy up
* support blocked layouts also for 2nd and 3d outputs
* Transformation to deal with dynamic output in GPU
- revert changes in GenerateProposals interface and shape inferenece;
- add transformation;
- custom compare method in single-layer test.
* address review comments
* fix after rebase
* fix after rebase
* review comment: added nms_eta to testcase name generation
* - added input types combination to functional tests;
- fix float16 comparison.
* fix after rebase
* use vector for input ids
* fix after rebase
* Test to interval shape propagated by transpose
* Test to propagate labels by transpose
* Add template transpose shape inference
* Fixes to transpose shape inference
* Update names for shapes:
input -> input_shape
order -> order_shape
* Not fill output shape for dynamic range
* Add constexpr to SeqGen and Between comparator
* Correct StaticShape creation in test
* Tests check partial value propagate in arg input
* Add evaluate upper, lower, label to transpose
- add test
* Add common methods for inference and evaluate
* Move helpers to shape_inference
* Move transpose attribute to transpose op
* Fix include in transpose operator
* Correct label generation and type
* Fix null conversion
* Use uint64_t for labels tensor
* Fix compare labels
* Use order length as output rank
* Update transpose transformation test
* Move helpers to validation_util
* Correct test assertion for expected shape
* Transpose evaluate use common function
for output calculation
* Remove redundant helpers from transpose test
