* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Removed the Intel logo
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add initial op reference code of TensorIterator with LSTM body function
* add GRU/RNN case in setup
* add all other test cases
* add visitor api test
* remove unnecessary header files
* fix clang-format issue
* fix copyright year and remove ngraph_helper namespace
* rename ti.cpp to tensor_iterator.cpp in core unit test
* apply suggestions
* [DOCS] add minor changes to install guides
[DOCS] add minor changes to install guides
[DOCS] add minor changes to install guides
[DOCS] add minor changes to install guides
[DOCS] add minor changes to install guides
[DOCS] add minor changes to install guides
* [DOCS] add minor changes to install guides
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Revised dlstreamer documentation
* Minor edits
* Fixed link
* Fix
* Edits after review
* Shorten DL Streamer name in the TOC
* Update documentation.md
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
fix canConvolutionBeTransformed arguments
fix isAsymmetricOnWeights in GPU plugin
added defaultPrecisions in TestTransformationParams
set new default attribute precisions
try to set const default precisions in network_helper.cpp
apply precision_set
[LPT] Default precisions
rebase
remove extra const
used defaultPrecision in tests
fixed SimpleLowPrecisionTransformer default argument
fixed AttributeParameters default argument
added defaultPrecisions in functions
fix assign_and_read_value_transformation tests
fixed wrong defaultPrecisions definition
fixed ConcatWithNeighborsWithConvolutionTransformation tests
remove getDefaultPrecisions
rebase
remove getDefaultPrecisions from gpu plugin
remove getDefaultPrecisions from lpt_mkldnn_plugin.cpp
use predefined member
update mkldnn_plugin.cpp & lpt_mkldnn_plugin.cpp
resolved conversations
make all lambda captures by ref
* Used new config for streams and threads
* Fixed review coments in ba
* format fix
* fixed hello_query_device
* Added STL string io
* fixed tests
* Fixed test
* Fixed build
* fixed format
* Fixed build
* try fix win
* other any io specialization
* Fixed after merge
* renamed streams
* build fixed
* fixed build
* fixed format
* fix for old mac build
* Fixed type of exception
* test fix
* fix bug in Serialize (#74447)
add simple serialization test to check pads changes
clang fix
add check and change pads in conv
refactor ov::clone_model
fix
check in test
* fix FrameworkNode and add test
* fix assert in identiry.cpp
* fix clone_nodes
* remove for node and constructor for node_input.cpp
add spaces
add space
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Added a link to the omz repo
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Check the selected frontend to correspond use_new/legacy_frontend options
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix a default case when no frontend is found
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* fix demension dynamic support bug in mish op reference test
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add initial op reference test of rnn_sequence
* add op reference test of GRUSequence
* replace input and refOut data to hard coded value
* update copyright year and namespace of Tensor
* rename S_t to sequence_lengths
* ROI tensor support for Template plugin + tests for Template and CPU plugins
GPU doesn'tsupport ROI tensors, so tests were not added for GPU
* Added asserts for unsupported mixed axis order (like 0,3,1,2), and unsupported types like int4/int2 for ROI tensors
* Avoid duplicated outputs with the same name
* Revert onnx graph changes
* Allow output duplicates in ie_plugin_internal check
* Add test with onnx model
* Check get_tensor_ptr instead of any_name
* More outputs test
* Refactor to use std::transform
* test manifest update
* Remove redundant header
* INTERPRETER segfaults fix for duplicated output names
* Simplify duplication assert
* Update test names
* Test update
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* initial code commit
* add runtime reference
* apply ov::Model
* initial lstmcell-1 definition
* initial change
* apply Peepholes
* apply input_forget option
* apply initial test case of lstmsequence-1
* fix clang-format error
* fix clang-format error 2
* add lstms_sequence test cases by runtime reference and onnx test cases
* fix clang-format error
* fix clang-format error
* fix onnx test failure of LSTM IE_CPU
* fix clang-format issue
* fix clang-format issue 2
* add type_prop and visitor api test of lstm_sequence_v1
* fix clang-format error
* replace input/refOut data to hard coded and remove unnecessary enum definition
* update namespace of Tensor()
* remove supported test cases in disabling list
* Implement interpolate-1 and interpolate-4 in template plugin test
* Fix clang error
* Fix clang error
* Fix clang error
* Fix linux build
* Fix cpplint error
* Fix clang error
* Fix linux build
* Change way to pass attribute into struct for linux build
* Correct supported type
* Fix clang error
* Add visitor api test for interpolate-1 and interpoate-4
* Fix typo and cpplint
* Update copyright
* Avoid using a class that will be deprecated
* Rollback to CoordinateTransform
* Remove interpolate.in.cpp
* Preserving of input/output indices for ONNX.
* Fixed checks.
* Fixed for case of multiple outputs of node before Result.
* Added test for multiple tensor names before Result.
* Multiple tensor names before Result fix.
* Added order alignment for user input/output.
* Extended for case of input names in Parameter tensor list.
* Fixed unit tests.
* Corrected help.
* Small correction.
* Code refactoring.
* Temporarily reverted refactor.
* Fixed wrong changes.
* Fixed wrong changes.
* Returned reverted refactoring.
* Removed inputs_list from serializing.
* Loop/If/TensorIterator - fix dynamic input cases
Reference evaluate for body uses Model::evaluate instead of custom evaluation
Loop/TensorIterator additional fix - set result shape according to body execution result
Only op_eval test verifies issues, template tests were added just in case (these passed even without fix)
* Fix clang-format
* rename ti.cpp
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of region_tolo
* add type_prop test and remove backend test of region_yolo
* apply type conversion for loading file test and add bf16 test case in skip_test_config
* change location of compile definition under target and use path_join from file_util
* add dependency of test_model_zoo
* apply ov::Model
* remove unnecessary
* changed compile definition of TEST_FILES
* skip test cases of external test file
* remove test cases of importing data file
* add warning about order if both mean and scale set
* Update tools/mo/openvino/tools/mo/main.py
Co-authored-by: Anastasia Popova <anastasia.popova@intel.com>
* removed warning, added phrase in documentation
* fixed merge
* added phrase about order of ,mean and scale in MO help
* duplicate MO help phrase in doc
* Update docs/MO_DG/prepare_model/convert_model/Converting_Model.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/MO_DG/prepare_model/convert_model/Converting_Model.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/MO_DG/prepare_model/convert_model/Converting_Model.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update tools/mo/openvino/tools/mo/utils/cli_parser.py
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update tools/mo/openvino/tools/mo/utils/cli_parser.py
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* remove tabs
* fix in order of reverse, mean, scale
Co-authored-by: Anastasia Popova <anastasia.popova@intel.com>
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Move 'NV12toRGB/BGR' reference evaluates to template plugin
CPU doesn't need this fallback, so implementation can be moved to reduce core binary size
* Moved evaluate_nv12 to 'runtime::reference'
* Fix arm build
* Calculate model layout based on 'tensor' layout and convert steps
Previously, 'model layout' is set to '...' by default,
thus no shape conversion happened when tensor layout is set to 'NHWC', then there was explicit convert_layout "NCHW"
Now "model layout" is calculated based on tensor layout and conversion steps:
Examples:
1) Tensor: NHWC, Convert: NCHW. Result: NCHW
2) Tensor: NHWC, Convert: 0312. Result: NCHW
* Fix for set_shape + resize case
* [LPT] Documentation
* 1) ToC was removed 2) SVG => PNG temporary conversion
* [LPT] Refactoring + developer guide
* [LPT] attribute doxygen documentation was added
* [LPT] Developer Guide to Reference API links were added
* [LPT] comments fixes
* [LPT] Reference API to Developer Guide links were added
* [LPT] titles were changed
* [LPT] comments fixes#2
* [LPT] root document was moved to Plugin DG
* [LPT] Documentation: image link quick fix
* [LPT] Docummentation: PrecisionsAttribute description quick fix
* fix comments from Karol
* fixes
* movement
* directive was added
* movement #2
* LPT reference in Executable Network rollback
* snippets were updated ini accordance with new API
* cli_parser.py fix to accept scalar value for freezing
* update cli help
* fixed unit-tests, clarified help for specifying data type
* typos correction
* auto-batching POC squashed (all commits from auto-batch-2021.3 branch)
(cherry picked from commit d7742f2c747bc514a126cc9a4d5b99f0ff5cbbc7)
* applying/accomodating the API changes after rebase to the master
* replaying modified version of actual batch selection
* eearly experiments with model mem footprint
* changes from rebasing to the latest master
* experimenting with DG1 on the batch size selection, also collecting the mem footprint
* WIP:moving the auto-batching to the icore to let the MULT/AUTO support that, ALLOW_AUTO_BATCHING as a conventional config key. still fials hot device swap
* quick-n-dirty batch footpint vs device total mem
* code style
* testing which models perform badly due to kernels and NOT (batched) footprint
* stub pipeline task to comunicate the readiness rather than promise/future
* quick-n-dirty timeout impl
* explicit _completionTasks,reverting BA to use the timeout
* inputs outputs copies, works with AUTO and demo now
* accomodate the config per device-id, after rebase to the latest master
* allowing the auto-batching only with tput hint to let more conventional tests pass
* fix the pre-mature timeout restaring via waiting for batch1 requests completion
* moved the bacthed request statring ( along with input copies) to the dedicated thread
* [IE CLDNN] Disable bs_fs_yx_bsv16_fsv16 format for int8 convolution
* code style
* increasing the timeout to test the ssd_* models perf (timeout?) issues
* reducing number of output stuff in BA to avoid bloating the logs in experiments
* more aggressive batching for experiments, not limited to 32 and also 4 as a min
* more accurate timeout debugging info
* getting the reqs limitation from the plugin SetConfig as well
* refactor the reshape logic a bit to accomodate CPU for bathcing, also added remeote context
* let the benchamrk_app to consume specific batch values for the auto-batching such as BATCH:GPU(4)
* auto-batching functional test (with results check vs ref) and GPU instance for that
* fixed arithemtic on blobs ptrs
* clang
* handling possible batched network failure
* BATCH as the constants device name in test
* ENABLE_BATCH
* func tests for CPU, also DetectionOutput hetero tests (CPU and GPU)
* DetectionOutput hetero test for the CPU
* reenabling the Auto-Batching in the AUTO
* auto-batching device enabled in the test
* fixed the DO test
* improve the loading loop logic
* brushed the config keys
* allow hetero code-path for explicit device name like BATCH:GPU(4), used in the hetero code-path tests
* fix the test after refactoring
* clang
* moving ThreadSafeQueue to the ie_parallel, as it is re-used in the AUTO/MULTI and BATCH now
* auto-batching hetero test (subgraph with DetectionOutput)
* fixed minor changes that were result of experiments with impl
* code-style
* brushing, disabling CPU's HETERO tests until planned activity for 22.2
* removing home-baked MAX_BATCH_SZIE and swicthing to the official impl by GPU team
* remote blobs tests for the auto-batching (old API)
* brushed names a bit
* CreateContext and LoadNEtwork with context for the Auto-Batching plus remote-blobs tests
* fixed the ieUnitTests with adding CreateContext stub to the MockICore
* clang
* improved remote-blobs tests
* revert the back BA from exeprimenents with AB + device_use_mem
* conformance tests for BATCH, alos batch size 1 is default for BATCH:DEVICE
* remote blobs 2.0 tests, issue with context having the orig device name
* debugging DG1 perf drop (presumably due to non-fitting the device-mem)
* disbaling WA with batch/=2 for excesive mem footptint, leaving only streams 2
* remote blobs 2.0 tests for different tensor sharing types
* converting assert to throw to accomodate legacy API where the lock() was possible to be called
* revert the timeout back to avoid mixing the studies, fixed the footprint calc
* reverting to estimating the max batch by extrapolating from bacth1 size
* more conservative footptint etimation (with bacth1), graceful bacth 1 handling without duplication
* even graceful batch 1 handling without duplication
* WA for MAX_BATCH_SIZE failure, removing batch4 as a min for the auto-batching
* AutoBatchPlugin -> ov_auto_batch_plugin
* WA for gcc 4.8
* clang
* fix misprint
* fixed errors resulted from recent OV's Variant to Any transition
* skip auto-batching for already-batched networks
* AUTO_BATCH_TIMEOUT and tests
* GPU-specific L3
* switched to pure config, also improved ALLOW_AUTO_BATCHING config key handling logic
* debugging device info
* enabling the config tests for the GPU and fixing the Auto-batching tests to pass
* making the default (when not recognized the driver) cache size more aggressive, to accomodate recent HW with old drivers
* skip auto-batching for RNNs and alikes (e.g. single CHW input)
* fixed fallback to the bacth1 and moved HETERO path under condition to avoid bloating
* brushing
* Auto plugin GetMetric support gpu auto-batch
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* add test case
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* add comments on test
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* brushing the vars names, alos adding the excpetion handling
* disabling the auto-batching for the networks with non-batched outputs and faster-rcnn and alikes (CVS-74085) to minimize the of #failures
* add try catch
Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
* brushing the code changed in the GPU plugin
* Auto-Batch requests tests
* brushed varibles a bit (ref)
* cleaned debug output from the ie_core
* cleaned cmake for the Auto-Batch
* removed batchN estimation from batch1
* cleaned from debug printf
* comments, cleanup
* WA the mock test errors introduced with merging the https://github.com/myshevts/openvino/pull/13
* Adding back removed batchN estimation from batch1 to debug degradations on DG1 (resulted from too optimistic MAX_BATCH_SIZE?). This partially reverts commit e8f1738ac1.
* brushing ie_core.cpp
* fix 32bit compilation
* Code review: ENABLE_AUTO_BATCH
* consolidate the auot-batching logic in ie_core.cpp into single ApplyAutoBAtching
* renamed brushed the OPTIMAL_BATCH (now with_SIZE) and mimicks the MAX_BATCH_SZIE wrt MODEL_PTR
* default value for the OPTIMAL_BATCH_SIZE
* clang
* accomodate new func tests location
* fix shuffle of headers after clang + copyrights
* fixed misprint made during code refactoring
* moving the common therad-safe containers (like ThreadSafeQueue) to the dedicated dev_api header
* switch from the device name to the OPTIMAL_BATCH_SIZE metric presence as a conditin to consider Auto-Batching
* switching from the unsafe size() and minimizing time under lock
* code style
* brushed the ApplyAutoBatching
* brushed the netric/config names and descriptions
* completed the core intergration tests for the auto-batching
* ExecGraphInfo and check for incorrect cfg
* removed explicit dependencies from cmake file of the plugin
* disabling Auto-Batching thru the tput hint (to preserve current product default), only excplicit like BATCH:GPU used in the tests
Co-authored-by: Roman Lyamin <roman.lyamin@intel.com>
Co-authored-by: Hu, Yuan2 <yuan2.hu@intel.com>
* Remove some legacy targets
* Replace some targets
* Removed inference_engine_plugin_api dependency
* Minor comment for developer config
* Fixed include paths
* Small fixes for static build
* Try to fix build pyopenvino
* Fixed comments
* Try to fix build
* Include OpenVINODeveloperPackage inside InferenceEngineDeveloperPackageConfig
* Try to fix GAPI tests
* Fix incomprehensible error message during layout conversion when layout rank doesn't match with shape rank
* Stash
* stash
* Memcpy implementation
Added tests
* Revert "Fix incomprehensible error message during layout conversion when layout rank doesn't match with shape rank"
This reverts commit 37064741b2.
* Fix clang-format and remove redundant headers
* Covered "cached" case (+ tested on Myriad)
* Apply review comments
Introduced 'applyBatchedBlob' function which allows override 'memcpy' on inferefnce time
* clang-format fix
* Added dynamic shape case
* - Review comments
- Deep copy of parameters/results for caching from cnnNetwork. Deep copy logic is moved to Utils
- Caching Tests: return correct inputs/outputs map after ImportNetwork mock call
* Reworked according to discussion
Also introduced 'SetBlobsImpl' which throws 'Not implemented' exception by default.
Template plugin updates internal '_batched_inputs' map
* Updated according to moved tests
* don't support 'memcpy' for ROI tensors
* Fix caching tests
* Just to retrigger CI
* Correct offset padding (however there is no test update as current implementation will not hit here due to other checks)
* Fix clang-format
* Applied review comments
* Added check that 'get_tensor' throws if set_tensors/set_input_tensors is used
* Fix review comments - part 1
* Fix caching tests - mock implementation becomes more complicated
Cached mock model shall identify its inputs/outputs, otherwise core will assert on SetExeNetworkInfo stage
* More comments fix
* More comments fixes
* More cleanup
* And more style comment
* typo fix
* Try fix caching windows tests
* Blind attempt to fix Ubuntu20 CI
* Renamed ov::Function to ov::Model
* Fixed all for macos
* Fixed build
* Fixed build
* Revert changes in GPU plugin
* Fixed ngraphFunctions
* Fixed all for mac
* Fixed new test
* Fixed if for Windows
* Fixed unit tests and renamed Function in python API
* Fixed code style
* Fixed import
* Fixed conflict
* Fixed merge issues
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of ExperimentalDetectronPriorGridGenerator
* implement actual_comparision_size for compare
* update slt for actual comparison size and add visitor api test
* fixed clang error
* Moved and merged mo/ and extensions/ into openvino/tools/mo
* edited imports
* edited docs to use mo script from entry_point
* edited MO transformations list loading and setup.py
* changed full path -> 'mo' entry point in docs (leftovers)
* corrected package_BOM
* updated resolving --transformation_config in cli_parser.py
* pkgutil-style __init__.py, added summarize_graph into entry points
* updated DOCs for the new --transformations_config
* fix select
* updated install instructions, fixed setup.py for windows and python_version < 3.8
* fixed typo in requirements.txt
* resolved conflicts
* removed creating custom __init__.py from setup.py
* corrected folder with caffe proto
* corrected loading user defined extensions
* fix openvino.tools.mo import in serialize.py
* corrected layer tests for new namespace
* fix in get_testdata.py
* moved model-optimizer into tools/
* renamed import in POT
* corrected mo.yml
* correct CMakeLists.txt for the newest tools/mo
* corrected find_ie_version.py
* docs and openvino-dev setup.py update for the newest tools/mo
* miscellaneous leftovers and fixes
* corrected CI files, pybind11_add_module in CMakeLists.txt and use of tools/mo path instead of tools/model_optimizer
* add_subdirectory pybind11 for tools/mo
* POT path fix
* updated setupvars.sh setupvars.bat
* Revert "updated setupvars.sh setupvars.bat"
This reverts commit c011142340.
* removed model-optimizer env variables from setupvars
* updated CMakeLists.txt to pack MO properly with tests component
* corrected left imports, corrected loading requirements for layer tests
* mo doc typo correction
* minor corrections in docs; removed summarize_graph from entry_points
* get_started_windows.md, MonoDepth_how_to.md corrections, mo path corrections
In case of partially-dynamic shape, e.g. {?,3,?,?} shape inference
for gathering channels and reverse operations can't infer final shape to {?,3,?,?} and it becomes {?,?,?,?}
Added 'static' version of reverse-channels to preserve output shape for such cases
It can be changed in future if operations will be able to calculate shape on 'validate' phase
* 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>
* 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
* 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>
* Removed 'inline' Preprocessing API
Even though this API provided a way to specify all pre/post-processing in one line - it was considered inconvinient
With 'getters' API preprocessing code looks more clear for user, so old' inline' API is removed
* Fix pyopenvino build issues
* Update after merged PR#8717
* ngraph and inference-engine parts
* add priorbox_8 python api
* remove 'PriorBoxAttrs' and 'PriorBox' from outside of opset namespace
* add common nGraph transformation 'ConvertPriorBox8To0'
* remove redundant alias of PriorBox::Attributes
* use new Tensor api for evaluate method
* change v0operation back to the former api, pass Attribute structure to the reference implement
* use new Tensor api for constant_fold
* add support for dynamic shapes of constant_fold new Tensor api
* fix Node 'create temp tensors' issue when shape==0'
* revert to 'HostTensor' api for PriorBox8
* Apply suggestions from code review and 'template_plugin reference' testcase replaced 'backend INTERPRETER' testcase
* transformation part Apply suggestions from code review
* python init file updated for opset8
* keep backward compatibility to fix CI issue
* rebase to new structure of OpenVINO repo
* revert 'thirdparty/onednn_gpu' mistake changes
* Moved openvino to src
* Moved ngraph and frontends to src
* Fixed cmake generation
* Moved inference_engine libs to src
* Moved C API to src
* Fixed CMake generation
* Moved readers to tests, snippets and preprocessing to common
* Fixed CMake
* Moved transformations and lp_transformations
* Fixed transformations cmake
* Fixed build
* Fixed unit-tests and ci paths
* Fixed docs
* Fixed C API build
* Try to fix static build
* More clear order
* Renamed inference_engine_legacy_api to legacy
* Fixed some cmake scripts
* Fixed path to legacy
* Fixed Myriad plugin
* Fixed v7 reader
* Fixed plugin.hpp
* Fixed developer config
* Fixed ie_parallel
* add 2nd batch paddle models in Convert_Model_From_Paddle.md
* narrow down supported paddle model from MobileNet-SSDLite to MobileNetv3-SSD in Convert_Model_From_Paddle.md
* Increase image size to avoid test failures on some platforms
There is an assert 'length >= nlanes' and 'nlanes' value depends on machine architecture
Set 320x320 test image to guarantee that image size >= nlanes
Also increased image size for 'plugin shared tests' to ensure the same (even though tests do not work with legacy preprocessing)
* Descreased to 160x160
* Migrate Sort (TopK-1)
* Add topk_mode_sort_order
* Skip topk_min_sort_none in Windows
* Add types to tests
* Skip topk_max_sort_none and topk_min_sort_none
* Modify names from 1d to 1dMaxMin and SetUp1 to SetUpSecond
* Add outIdx to run tests one by one
* Set default value 0 to outIdx
* Remove copy_data
* Support pads_begin & pads_end as dynamic ops in Pad
* Extend Pad template test w/ NonConst PB & PE cases
* Remove xfails for 69443 after issue was fixed
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Fixed diagram
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Renaming all frontends from "*_ngraph_frontend*" to "_ov_frontend*"
Also Debug builds on Windows release frontends without "d" suffix will not be loaded
* Fix review comments and add wheels test debug prints
* More debug prints
* Load by absolute path and remove debug prints
* [MO, TF] Support Custom Wide and Deep CTR model by MO
It implements implicit support of EmbeddingSegmentsMean operation through decomposition.
Also, this extends the current transformation to fuse TensorFlow sub-graph (for Wide and Deep model family)
containing SparseSegmentSum and SparseSegmentMean operations into EmbeddingSegmentsSum or EmbeddingSegmentsMean.
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix unit-tests after modifications of SparseToDense and EmbeddingSegmentsOperationFusing
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Document SparseSegmentMean support
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add computation scheme for normalization coeffs and correct documentation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
- PrePostProcessor takes 'function' argument in constructor
- PrePostProcessor::build() doesn't take any function anymore
- PrePostProcessor::input() method to get reference to input
- PrePostProcessor::output() method to get reference to output
- InputInfo - add getters of tensor, preprocess, network
- OutputInfo - add getters of tensor, preprocess, network
Samples:
ClassificationSampleAsync - use new getters
Inference engine:
- Use new getters in ie_network_reader.cpp
TODO: Consider removal of builder-like API in PrePostProcessor, InputInfo, OutputInfo
* Add GatherND_8 operation
* Update shape infer function and tests
* Initial commit for nGraph GatherND_8 operation
* Add GatherNDBase class implementation
* Fix base class errors
* Add missrd header
* Update base class
* Update GatherND_8 implementation
* Fix codestyle
* Fix wrong rank
* Implement tests for gatherND_8 shape inference function
* fix codestyle
* Add limitation to doc
* Siplyfy check in shape inference
* Add more test cases
* Update shape inference function
* Add more test cases to cover all case with dynamic input shapes
* Update shape inference function
* Refactor tests
* Initial commit for gatherND_8 reference implementation
* Add visitor tests for gatherND_8 operation
* Add visitor tests for gatherND_8 operation
* Correct comment
* Add additional check is shape inference function
* Update shape inference implementation for gathernd operartion
* Fix codestyle
* Remove restriction for data is fully defined
* Update shape inference functon
* Add gatherND_8 reference to evaluate map
* Add tests for gathernd_8 reference in batch_dims > 1
* Fix codestyle
* Fix codestyle
* Fix missed check for nonetype
* Remove redundant checks for batch_dims
* Use get_shape method instead of get_input_shape in GatherND reference implementation call
* update reference implementation call
* Properly add GatherND_8 to test opset table
* Update GatherND reference implementation for support opset8 version
* Add unit tests for gatherND_8 reference implementation
* Update gatherND reference implementation call in evaluate map
* Mark failed tests for missed plugin gatherND_8 implementations
* Fix codestyle
* Fix codestyle
* Fix codestyle
* Update tests
* Move common methods to base class
* Fix codestyle
* Revert clone_with_new_input function moving
* Add more test for reference
* partially revert API changes
* revise LSTM spec
Signed-off-by: fishbell <bell.song@intel.com>
* add param check and related test case
Signed-off-by: fishbell <bell.song@intel.com>
* fix clang-format
Signed-off-by: fishbell <bell.song@intel.com>
* use static_cast to replace c style force conversion
Signed-off-by: fishbell <bell.song@intel.com>
* Migrate Movement2 (BatchToSpace-2, DepthToSpace-1, Roll-7, ShuffleChannels-1, SpaceToBatch-2, SpaceToDepth-1)
* Fix typos while copying
* Update to opset namespace and add i4, u4, bf16 tests when available
* Remove i4, u4 tests from BatchToSpace and Roll
* 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
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of prior_box/prior_box_clustered/reorg_yolo and remove ngraph backend test
* remove related backend test file
* Add GatherND_8 operation
* Update shape infer function and tests
* Initial commit for nGraph GatherND_8 operation
* Add GatherNDBase class implementation
* Fix base class errors
* Add missrd header
* Update base class
* Update GatherND_8 implementation
* Fix codestyle
* Fix wrong rank
* Implement tests for gatherND_8 shape inference function
* fix codestyle
* Add limitation to doc
* Siplyfy check in shape inference
* Add more test cases
* Update shape inference function
* Add more test cases to cover all case with dynamic input shapes
* Update shape inference function
* Refactor tests
* Add visitor tests for gatherND_8 operation
* Correct comment
* Add additional check is shape inference function
* Update shape inference implementation for gathernd operartion
* Fix codestyle
* Remove restriction for data is fully defined
* Update shape inference functon
* Fix missed check for nonetype
* Remove redundant checks for batch_dims
* Fix codestyle
* Add test cases for PReLU in cpu plugin
* For case when slope is vector
* Add Constant template plugin reference tests
* Update CMakeLists.txt and delete constant.in.cpp
* Add tests of tensor_2constant and constant_multi_use
* Add test of constant_equality_bool
* Remove wrong comments
* Remove some of strange if
* Merge to one CreateFunction
* Remove test names and update test for types
* Add bf16 and f64 tests
* Add missing type tests
* Clear actualOutData to allow multiple use of Validate()
* Update SetUp and CreateFunction to support CentOS CI
* Remove inputData = {}
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of experimental_detectron_detection_output and experimental_detecteion_generate_proposals and remove ngraph backend test
* modify visitor api test of experimental_detectron_detection for clang-format
* modify visitor api test of experimental_detectron_detection for clang-format again
* modify visitor api test of experimental_detectron_detection for clang-format again2
* [Samples] Move C samples to the new samples directory
* fix samples
* [Samples] Move C samples to the new samples directory
* fix samples
* code reivew inspired fixes
* rename folder to lower case
* move ENABLE_SAMPLES cond level up, fix readmes
* fix ref in doc
* fix install path
* fix install of samples to tests
Co-authored-by: Vladimir Dudnik <vladimir.dudnik@intel.com>
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of detection_output
* update op reference test and remove ngraph backend test
* make up the reference test data
* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now
* update repo
* add op reference test of psroi_pooling and deformable_psrio_pooling
* update op reference test
* remove ngraph backend test
* add op reference test of proposalV1 and proposalV4
* update skip_test_config.cpp to avoid failure of accuracy drop in fp16/bf16 test case of proposal
* 1. Removed explicit SHARED from libraries
2. Fixed double definition for ie_layer_validators
* Fixed SEG in unit-test: order of initialization for global vars
* Added an ability to find plugins.xml from static IE
* Fixes in unit-test
* Migrated to new macro for import / export
* Minimized number of custom dllexport
* Don't use IR v7 for static libraries
* Revert for merge
* Don't enable tests with dlopen for static libraries
* Code style
* Added condition for export
* Revert format_reader
* Removed forward decalaration with external linkage
* Fixed IE linkage on Windows
* Reverted back 2 flags
* Minimal RRTI for cpuFuncTests
* Minimal RRTI for cpuFuncTests
* Still need IR v7 reader
* Fixed build
* Fixed compilation
* clang-format fix
* Removed BUILD_AS_IS and used USE_STATIC_IE
* Enable IR v7 reader as static library
* Fixed compilation for GPU plugin
* Trying to build plugins as static library
* Plugins are able provide their own name for CreatePluginEngine function
* Fixed CPU
* Fixed comments
* Fixed ENABLE_IR_V7_READER usage
* Fixed VPU
* clang-format
* Fixes
* Fix
* Load multiple plugins at once
* Fixed interpreter undefined symbols
* Trying to dynamically register static plugins
* Reverted some ngraph changes
* Fixed cpuUnitTests compilation
* Fixed compilation
* Fixed myriad
* Fixed custom_opset tests
* Reverted linker flags
* Support both static and dynamic plugins
* Fixed compilation of myriadFuncTests
* Removed duplication
* Fixes after self-review
* Fixed linkage for preprocessing
* Fixes for Windows
* Fixes
* Fixed cmake options
* Fix
* Fix
* Fix 2
* Interpolate reference implementation:
- Support u8 and other numeric types
- For integral types - round result to nearest integer (don't cast)
Preprocessing: enable OpenCV tests and add resize conformance tests with OpenCV
* Revert changes in interpolate.cpp, making them minimal needed (added u8 resize)
* Preprocessing: convert_layout<std::vector<uint64_t>> implementation
User is able to use this version without specifying layout explicitly
Same version of convert_layout is added for post-processing
Added usage of new convert_layout to ie_network_reader
* Fix review comment
* New version of PriorBox operation to add new 'min_max_aspect_ratios_order' attribute
* Apply suggestions from code review
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
* Apply suggestions from code review
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
* doc of paddle 2nd batch operations support
* Modified based on UX/DX Team feedback
* update the example command in Convert_Model_From_Paddle.m
* Apply suggestions from code review
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: meiyang-intel <yang.mei@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
* Add specifiation for GatherND_8 operation
* Update formula
* Add links to op spec
* Fix existed and add new example
* Correct output shape formula
* Add restriction for batch_dims values
* Add reference for gatherND-8 operation
* Update batch_dims=3 example
* Fix output shape in example
* fix lines length
* Fix typo
* Fix wrong shape
* Update note about calculation of out shape
* Apply suggestions from code review
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Irina Efode