* 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
* move frontend folder to pyopenvino
* rename includes and add compile options
* include frontend to pyopenvino
* move __init__.py
* move tests
* remove mock from tests_compatibility
* rename import module
* Fix code style cpp
* refactor a few lines
* update few lines in mo
* Add pyopenvino to dependencies
* Fix mock
* update docstring
* Fix mo test
* remove module local
* fix code style
* update comment
* fix return type
* update docs
* fix code style
* fix building
* fix code style
* try to move MO to use new api
* Export more enum names from nrgaph
* [Python API] quick fix of packaging
* update tests
* fix setup.py
* small fix
* small fixes according to comments
* skip mo frontend tests
* update mo to new imports
* try to fix win wheel
* fix win wheel
* fix code style
Co-authored-by: Anastasia Kuporosova <anastasia.kuporosova@intel.com>
Co-authored-by: y <ilya.lavrenov@intel.com>
* dynamic shape calculation for GatherElements
* dynamic shape calculation for sparse_reshape, corrections for sparse_segment_mean/sqrtn/sum
* corrected dynamic_dimension_value, added two unit-test cases
* simplified solution, added missing Nones
* some corrections
* added a couple of more unit-tests
* Fix in the MO infer function of Gather.
* Added comment about done fix.
* Added more tests.
* Now Gather and AttributedGather are always marked as reinterp_shape=True.
* fix expand_onnx_functions
* refactor + unit test
* fixed function in function case
* fixed expand_onnx_functions
* fixed default value of shape in ValueInfo
* enable xpass model
* changed MergeFrom to Swap
* added xfail with missing test data
* added more unit tests
* styles applied
* used std::rotate, review remarks
* removed debug code
* after offline discussion remarks
* fix checking input/output names on Windows
* names comparator refactor
* replace regex with custom comparison
* review remarks
* added RemoveConcatZeroDimInput transformation
* added RemoveLoopDanglingParameters transformation
* chage place of passes during replace
* missing comment
* code refactor + unit tests
* remove unused headers
* used std::any_of in RemoveConcatZeroDimInput
* changed headers and namespaces to new ov convention
* used std::any_of in RemoveConcatZeroDimInput
* RemoveLoopDanglingParameters refactored
* changed names to RemoveMultiSubGraphOpDanglingParams
* handling multi-body cases
* Handling If case during RemoveMultiSubGraphOpDanglingParams
* comments and names refactor
* More tests for If and TensorIterator
* handle removing dagling param from one body and update all descriptors
* fixed test
* revert if change
* moved RemoveConcatZeroDimInput and RemoveMultiSubGraphOpDanglingParams to NopElimantion
* return false if node is not replaced
* added validate_nodes_and_infer_types
* Revert "moved RemoveConcatZeroDimInput and RemoveMultiSubGraphOpDanglingParams to NopElimantion" + remarks
* review remarks
* review remarks
* fixed subgraph rtti
* adjust passes to new structure
