* Implement MO part for DetectionOutput-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement nGraph part for DetectionOutput-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement deduction of a number of classes method
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix build
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement nGraph tests to check shape inference for DetectionOutput-8 with deduction of num_classes
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement attributes tests for DetectionOutput-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove DetectionOutput-1 from opset8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add python bindings for DetectionOutput-8 and tests
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement downgrading and upgrading transformations for DetectionOutput
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement tests for downgrading and upgrading transformations for DetectionOutput
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Adopt existing reference for DetectionOutput-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix DetectionOutput-8 reference
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add tests for DetectionOutput-8 reference
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finish resolving merge conflict
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix python bindings after re-structuring
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix BOM package list
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix multibox_detection_test
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix python bindings for DetectionOutput-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Insert blank line between summary and description for python binding
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply review comments: identation, for loop
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix formatting in python bindings
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix supported_attrs for DetectionOutput from opset1
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add missed imports for python if_op
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply feedback and fix Win build
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Use the same test suite name for test mixture
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix transformation tests
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Recover BWDCMP_RTTI for legacy use and remove unused variables in tests
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove unused variables in type_prop tests
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Recover legacy referenceDetectionOutput constructor
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix python binding for DetectionOutput
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* include api changes
* include api changes for executable_network
* Create InferVec container
* update infer method
* update infer methods in ie_api
* update runtime to work with dict
* update infer_engine test to work with infer returning dict
* remove inferMap container
* add return type to infer and infer_new_request in ie_api
* add auto to infer loops
* fix typo
* change OrderedDict to dict
* change infer methods return type to dict
* update infer methods to return py::dict
* style fix
* create helper function outputs_to_dict
* remove InferMap and InferVec
* remove unused imports
* add const to outputs
* add get_result method
* add test for get_results
* style fix
* add reference to outputs_to_dict parameters
* remove blank line
* fix style
* change get_results method to result property
* code fix in ie_api
* add f16 and bf16 support to outputs_to_dict function
* update the way of receiving keys from dict
* update the way of key receive in test_core
* add test for reslts attribute for async infer
* remove out of date comment
* add view(int16) to bf16 and f16 in outputs_to_dict() function
* [CPU][Tests] Decreased number of test cases for Interpolate, Reduce and Pad operations
* [CPU][Tests] Reduced number of DeformableConvolution smoke test cases
* Fixed review comments
* Added debug print.
* Deleted debug print.
* Written the header file of the transformation NearestNeighborUpsamplingFusion.
* Started to write an implementation of the transformation NearestNeighborUpsamplingFusion.
* Small fix.
* Some additions.
* Written a function that checks one of Concat node of the pattern.
* Code style fix.
* Small fix.
* Small fix.
* Written the function that check concat_2 node of the pattern.
* Written all checks of applicability of the transformation NearestNeighborUpsamplingFusion.
* Written the draft of the nGraph transformation NearestNeighborUpsamplingFusion.
* Some fixes.
* Started to write tests for the nGraph transformation NearestNeighborUpsamplingFusion.
* Small fix.
* Fixes in pattern.
* Fixes in test.
* Small fix.
* Added other test.
* Deleted commented code.
* Small fixes.
* Added comment about the transformation.
* Small fixes.
* Added description of the function get_scales_from_mul_const_shape().
* Small fix.
* Used input_value(0) instead of input_value(0).get_node_shared_ptr() for nodes before shapeof and reshape_1.
* Used pattern_to_output for concat_1 instead of graph traversing.
* Deleted commented code.
* Check reshape_1_node->get_input_partial_shape(0).is_dynamic() was moved into the pattern.
* Added has_static_shape() for mul_const element of the pattern.
* Added comment about the function get_new_spatial_shape_from_concat_2().
* Added the transformation NearestNeighborUpsamplingFusion into MOC transformations pipeline.
* Used type of elements of the pattern root into 'scales'.
* Moved transformation.
* Renamed plugin
* Changed plugin source dir
* Fixed tests
* Renamed ENABLE_GNA to ENABLE_INTEL_GNA
* Fixed centos compile error
* One more renaming place
* HF for centos 7
* renamed the name in version api
* Fixed CI configurations
* Disabled GNA plugin for old gcc (<=5.4)
* Fixed Azure Win job
* Remove reorder after depth_to_space
* Remove reorder after region_yolo
* add ignore conditions
-if input node is not depth_to_space and region_yolo
* fix bug: The empty std::list causes undefined behavior.
* remove ignore_conditions flag
* Specify DetectionOutput-8 operation
The delta is small where we just remove num_classes attribute to support OD models out of the box
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove a link to DetectionOutput-1 from opset-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update a list in ie_docs.xml
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Preprocessing API - base classes
Includes API definition for trivial mean/scale operations (which don't require layout)
Mean/scale with 'layout' support will be done under separate task together
with Layout
Current test code coverage: 100%
* Python bindings for base preprocessing API
* remove pre_post_process directory from ngraph/core
* remove files from ngraph/python dir
* move pyngraph pre_post_process files from ngraph/python to runtime
* remove pre_post_process test from CMakeList
* move include to the header
* update include path for pre_post_process
* style fix
* bind InputTensorInfo::set_layout
* cleaned test_preprocess
* fix test expected output
* remove duplicate test
* update description of set_element_type
* fix style
* move preprocess from pyngraph to pyopenvino/graph
* update test_preprocess imports and remove unnecessary test
* remove duplicate import
* update custom method
* update test
* update test
* create decorator that changes Node into Output<Node>
* create function that cast Node to Output<Node>
* update test_preprocess to use decorator for custom function
* change _cast_to_output -> _from_node
* style fix
* add tests fro scale and mean with vector input
* style fix
* add docstring for custom_preprocess_function
* bind InputInfo network method
* style fix
* bind OutputInfo
* fix description of preprocess submodule
* fix style
* update copyright year
* bind OutputTensorInfo
* bind OutputNetworkInfo and InputNetworkInfo
* Bind exec core ov (#50)
* Output const node python tests (#52)
* add python bindings tests for Output<const ov::None>
* add proper tests
* add new line
* rename ie_version to version
* Pszmel/bind infer request (#51)
* remove set_batch, get_blob and set_blob
* update InferRequest class
* change InferenceEngine::InferRequest to ov::runtime::InferRequest
* update set_callback body
* update bindings to reflect ov::runtime::InferRequest
* bind set_input_tensor and get_input_tensor
* style fix
* clen ie_infer_queue.cpp
* Bind exec core ov (#50)
* bind core, exec_net classes
* rm unused function
* add new line
* rename ie_infer_request -> infer_request
* update imports
* update __init__.py
* update ie_api.py
* Replace old containers with the new one
* create impl for create_infer_request
* comment out infer_queue to avoid errors with old infer_request
* update infer_request bind to reflect new infer_request api
* comment out inpuit_info from ie_network to avoid errors with old containers
* Register new containers and comment out InferQueue
* update infer request tests
* style fix
* remove unused imports
* remove unused imports and 2 methods
* add tests to cover all new methods from infer_request
* style fix
* add test
* remove registration of InferResults
* update name of exception_ptr parameter
* update the loops that iterate through inputs and outputs
* clean setCustomCallbacks
* style fix
* add Tensor import
* style fix
* update infer and normalize_inputs
* style fix
* rename startTime and endTime
* Create test for mixed keys as infer arguments
* update infer function
* update return type of infer
Co-authored-by: Bartek Szmelczynski <bartosz.szmelczynski@intel.com>
* fix get_version
* fix opaque issue
* some cosmetic changes
* fix codestyle in tests
* make tests green
* Extend python InferRequest
* Extend python Function
* Change return value of infer call
* Fix missing precisions conversions in CPU plugin
* Rework of runtime for new tests
* Fixed onnx reading in python tests
* Edit compatibility tests
* Edit tests
* Add FLOAT_LIKE xfails
* bind ColorFormat and ResizeAlgorithm
* clean imports
* fix typo
* [Python API] bind ProfilingInfo (#55)
* bind ProfilingInfo
* Add tests
* Fix code style
* Add property
* fix codestyle
* Infer new request method (#56)
* fix conflicts, add infer_new_request function
* remove redundant functions, fix style
* revert the unwanted changes
* revert removal of the Blob
* revert removal of isTblob
* add add_extension from path
* codestyle
* add PostProcessSteps to init
* bind PreProcessSteps
* create additional tests
* fix win build
* add inputs-outputs to function
* update infer queue
* fix code style
* Hot-fix CPU plugin with precision
* fix start_async
* add performance hint to time infer (#8480)
* Updated common migration pipeline (#8176)
* Updated common migration pipeline
* Fixed merge issue
* Added new model and extended example
* Fixed typo
* Added v10-v11 comparison
* Avoid redundant graph nodes scans (#8415)
* Refactor work with env variables (#8208)
* del MO_ROOT
* del MO_ROOT from common_utils.py
* add MO_PATH to common_utils.py
* change mo_path
* [IE Sample Scripts] Use cmake to build samples (#8442)
* Use cmake to build samples
* Add the option to set custom build output folder
* Remove opset8 from compatibility ngraph python API (#8452)
* [GPU] OneDNN gpu submodule update to version 2.5 (#8449)
* [GPU] OneDNN gpu submodule update to version 2.5
* [GPU] Updated onednn submodule and added layout optimizer fix
* Install rules for static libraries case (#8384)
* Proper cmake install for static libraries case
* Added an ability to skip template plugin
* Added install rules for VPU / GPU
* Install more libraries
* Fixed absolute TBB include paths
* Disable GNA
* Fixed issue with linker
* Some fixes
* Fixed linkage issues in tests
* Disabled some tests
* Updated CI pipelines
* Fixed Windows linkage
* Fixed custom_opset test for static casr
* Fixed CVS-70313
* Continue on error
* Fixed clanf-format
* Try to fix Windows linker
* Fixed compilation
* Disable samples
* Fixed samples build with THREADING=SEQ
* Fixed link error on Windows
* Fixed ieFuncTests
* Added static Azure CI
* Revert "Fixed link error on Windows"
This reverts commit 78cca36fd2.
* Merge static and dynamic linux pipelines
* Fixed Azure
* fix codestyle
* rename all methods in this class to snake_case
* some updates
* code style
* fix code style in tests
* update statistics reporting
* update filling inputs
* change ngraph.Type to ov.Type
* fix typo
* save work
* save work
* save work
* compute latency in callback
* save work
* Fix get_idle_request
* save work
* fix latency
* Fix code style
* update AppInputInfo
* add iteration to PatrialShape
* fix rebasing
* bind result::get_layout()
* correct mistakes
* fix setup
* use parameters/results instead inputs/outputs
* move _from_node to node_output.hpp
* add read_model from buffer
* update imports
* revert package struct
* add new line
* remove bad quotes
* update imports
* style fix
* add new line
* Fix preprocessing
* rename functin args
* set NCHW layout to image as default
* Fix input fillings
* remove Type import
* update tests
* style fix
* test clean
* remove blank line
* Add tensor_shape
* fix comments
* update PrePostProcessor init and build methods
* create test with model update tests with new PrePostProcessor init and build
* Change filling inputs
* fix preprocessing
* basic support dynamic shapes
* fix legacy mode
* rename ie to core
* fix cpp code style
* fix input files parsing
* fix binary filling
* support dynamic batch size
* process images with original shapes if no tensor shapes were given
* fix fps and number of iterations
* Add new metrics
* support pass path to folder into input mapping
* add pcseq flag
* fix resolving conflicts
* dump statistic per group
* check for compatibility with partial shape
* revert statistic report names
* code refactoring
* update parameters
* enable legacy_mode if data size less than nireq
* add serialize to offline_transformations
* Fix preprocessing import
* change log output due to ci parsing
* fix layout
* allow to pass batch size with undefined layout
* add serializer
* fix comments from jiwaszki
* Fix latency parsing for ci
* code style
* rename tensor_shape to data_shape
* add message if image is processed with original shape
* fix syntax warning
* remove default legacy_mode if requests cover all data
* rewrite all file parsing
* fix preprocessing
* Fix preprocessing #2
* Use layout instead str
* Fix file extensions
* Fix image sizes filling
* sort input files
* [Python API] quick fix of packaging
* update tests
* fix setup.py
* small fix
* small fixes according to comments
* skip mo frontend tests
* full mode is default for dynamic models only
* backward compatibility
* Fix package
* set layout in runtime
* static mode for dynamic models with all equal data shapes
* use get_tensor instead set_tensor in legacy mode
* benchmarking dynamic model available in full mode only
* fix layout detection
* use batch_size * iteration instead processed_frames in legacy mode
* fix tensor naming
* represent --inference_only
* refactoring main loop
* Fix number of iterations for full mode
Co-authored-by: Michael Nosov <mikhail.nosov@intel.com>
Co-authored-by: pszmel <piotr.szmelczynski@intel.com>
Co-authored-by: Bartek Szmelczynski <bartosz.szmelczynski@intel.com>
Co-authored-by: Anastasia Kuporosova <anastasia.kuporosova@intel.com>
Co-authored-by: jiwaszki <jan.iwaszkiewicz@intel.com>
Co-authored-by: Victor Kuznetsov <victor.kuznetsov@intel.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
Co-authored-by: Tomasz Jankowski <tomasz1.jankowski@intel.com>
Co-authored-by: Dmitry Pigasin <dmitry.pigasin@intel.com>
Co-authored-by: Artur Kulikowski <artur.kulikowski@intel.com>
Co-authored-by: Ilya Znamenskiy <ilya.znamenskiy@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* reshape conv filter with gather in ngraph paddle front end
* use unsqueeze for broadcasting in elementwise ops in ngraph paddle frontend
* support dynamic input for paddle elementwise ops
* add annotation
* use general opset in paddle elementwise op
* Revert "use general opset in paddle elementwise op"
This reverts commit ff552d2efe47286910df9876e1b0d97ff6301695.
* Revert "add annotation"
This reverts commit b2e16633c192bddfb94963465d175f98fdad1719.
* Revert "support dynamic input for paddle elementwise ops"
This reverts commit a30a93f5b80f0a88064112e498f83eb9b22aa4bd.
use general opset in paddle elementwise op
* fix clang issue
* Add annotation to get_reshaped_filter() and rename some variable in get_reshaped_filter()
* handle broadcast of paddle elementwise with AutoBroadcastType::PDPD
* link inference_engine_transformations lib to paddle frontend
* Disable op sequence fusion when PDPD broadcast
* Revert "Disable op sequence fusion when PDPD broadcast"
This reverts commit 9172078e76317fb92507025478cf06f4ddc5b87d.
* Revert "handle broadcast of paddle elementwise with AutoBroadcastType::PDPD"
This reverts commit fc8d57ecb58f68f27bed1b8ba537af9a6737a4f6.
* fix merge issue
