* Mark `get_type_info_static()` as hidden
Each plugin linked with openvino library contains `type_info_static` symbols. In case when one of the libraries is unloaded and app tries to get opset, it leads to segfault. So mark `get_type_info_static()` as hidden to use only one implementation exactly from openvino lib
* Fix "'visibility' attribute ignored" issue by moving `TestPass` out of test scope
* Fix clang format
* Small update of `If` op
* Revert "fix 79520 (#10449)" to correctly compare DiscreteTypeInfo via `==`
This reverts commit 29883a152a.
* InputTensorInfo::from implementation
If user's application already has `ov::runtime::Tensor` object created,
it will be possible to reuse basic characteristics for input (shape, precision) from tensor using InputTensorInfo::from method
* Rename 'from' to 'set_from' as in Python 'from' keyword is used for import modules
Python bindings: from ov.Tensor and from numpy array
* Style fix (quotes)
* Apply suggestions from code review
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* Fix code style
* Use set_from in hello_classification CPP sample
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* fix .ncc_style target names
it was breaking configure on system with libclang-12-dev, clang-12,
ninja and cmake 3.17+(ninja complains about duplicate
target). with lower cmake version configure succeeds, but build exits
immediately with error. by replacing ninja with make error becomes
warning(it's still significant, make just skips duplicate rules, i.e.
doesn't check style of some source files, rule duplication is genuine
bug). without libclang-12-dev and clang-12 ENABLE_NCC_STYLE is OFF and
bug is not triggered
* silence uninitialized warning in core_integration
probably it was always initialized before use, but compiler wasn't made
aware of it
* fix function spelling to unbreak code style checks in benchmark_app
* include <thread> for std::this_thread
existing code was relying on namespace pollution by old libstdc++
* replace is_pod with is_standard_layout && is_trivial
is_pod is deprecated, it breaks build on current gcc
Co-authored-by: Serhii Pavlovskyi <spavlovskyi@lohika.com>
Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
* Fix result saving when batch size is not 1
* Remove useless if statement
* improved processing scores for model with more than one outputs
* added checking on count of model outputs
* improve if statements
* divide fix for model with several outputs to other PR
Co-authored-by: Maxim Gordeev <maxim.gordeev@intel.com>
* Improve `-o` and `-oname` flags
* Apply clang-format tool
* fix saving output files
* Apply clang-format
* Fix error when `-oname` not specified
* apply clang format
* Fix error `-oname`
* Use output name with port to find model output
* fix comment line breaking
* fix comparison with reference for multiple outputs
* Fix output name printing error
* try to fix clang format
* fix problem with bs > 1
* minimal change to rerun test pipeline
* clang format
* Revert "Fix error `-oname`"
This reverts commit c33d5f16e8.
* 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
* Depricated Any implicit cast
* Fixed test
* fixed gna build
* Fixed warnings in benchmark_app
* Fixed test build
* ncc exception for PrintTo
* Error mesage in test
* Error mesage in test
* fixed build
* Added new correct gna frequency result for Alder Lake
* Update samples/cpp/speech_sample/utils.hpp
Co-authored-by: Krzysztof Bruniecki <krzysztof.bruniecki@intel.com>
Co-authored-by: Krzysztof Bruniecki <krzysztof.bruniecki@intel.com>
* Refactored statistics output with JSON support
* Detailed/average reports are added
* stylefix
* Update samples/cpp/benchmark_app/statistics_report.hpp
Co-authored-by: Ivan Vikhrev <ivan.vikhrev@intel.com>
* Linux Fixes
* stylefixes
* data_shape field format is changed
* stylefix
Co-authored-by: Ivan Vikhrev <ivan.vikhrev@intel.com>
* [IE SAMPLES] activated NCC tool for c++ samples
* exclude ov_ncc_naming_style for tests
* fixed NCC hit
* Added support for source files in samples
* changed style of methods for benchmark
* changed style for speech sample
* changed code style
* changed code style for shared_tensor
* benchmark changes
* changed remote_tensors_filling
* fixed notes
* rebase of branch
* Set THROUGHPUT as the default configration for all the plugin and display the config of the plugin.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* updated format.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update benchmark python API.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Replace str 'THROUGHPUT' with CONFIG_VALUE(THROUGHPUT).
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Using CONFIG_VALUE(THROUGHPUT) replace 'THROUGHPUT' string.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* update code style.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Move the setting output code into the try block.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
I'll merge this. We need to talk with someone who know openvino build system better than we to "use cmake function ov_ncc_style_check to perform such check automatically". As far as I can see, currently it used only in one place, so it is not common approach for openvino components
* 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>
* Moved Speech sample to OpenVINO 2.0
* improved samples's score
* changed code style
* added GNA configs
* renamed function due to new API
* added dynamic batch
* reordered includes
* speech_sample has more than 1 input
* added oname processing
* added multi input
* fixed notes
* removed getFullDeviceName with old api
* getFullDeviceName for benchmark
* Merged and compiling
* Fix for dynamic shape type
* review fixes
* renamed blob shape to tensor shape, small improvements
* fix code style
* added parsing of multiple shapes
* store latency per group, add isIdleRequestAvailable() to Infer Queue
* added cached random inputs
* redesign pipeline, added new metrics(avg, max, min), added metrics per groups
* fixed code style
* small improvements
* modified tensor parameters parsing
* modified -i parameter parsing: added possibility to specify input names
* implemented image cashing
* added cashed blobs creating
* added -pcseq flag, modified batch filling, changes fps formula
* improvements
* code formatting
* code formatting2
* apply suggestions from review
* replaced Buffer class with InferenceEngine Blobs
* use batch size in blobs filling
* added shared blob allocator to handle blob's data
* fixed warnings & code style
* allocate blobs
* fix for networks with image info input
* added comments & fixed codestyle
* clear data in free() in SharedBlobAllocator
* remove unnecessary check
* Delimeter is changed to ::
* stylefix
* added layout from string function, small improvements
* modified parsing to enable : in input parameters
* small fixes
* small fixes
* added missed blob allocation, fixes
* [TEST]added support for remote blobs
* fix remote blobs
* new inputs/files output format
* removed vectors resize which caused bugs
* made cl::Buffer type under ifdef, fix inputs filling
* changed batch() function to not throwing exceptions
* removed unused var
* fix code style
* replace empty name in input files with name from net input
* restored old behaviour for static models
* fix code style
* fix warning - made const iterator
* fix warning - remove reference in loop variable
* added random and image_info input types to -i, fix problem with layout
* replaced batch() with getBatchSize() in main
* fix layout, shape, tensor shape parameters parsing
* upd help messages for input, tensor shape and pcseq command
* added buffer for cl output blobs, small fixes
Signed-off-by: ivikhrev <ivan.vikhrev@intel.com>
* added legacy mode
* restore setBlob
* code style formatting
* move collecting latency for groups under flag
* removed not applicable layouts
* added hint to error message when wrong input name in -tensor_shape was specified
* added new metrics to statistics report
* Apply suggestions from code review
* fix binary blobs filling when layout is CN
* apply suggestions
* moved file in the right place after rebase
* improved -pcseq output
* updated args and readme
* removed TEMPLATE plugin registration
* fix -shape arg decsription
* enable providing several -i args as input
* renamed legacy_mode to inference_only and made it default for static models, renamed tensor_shape to data_shape
* upd readme
* use getBlob() in inference only mode
* fix old input type for static case
* fix typo
* upd readme
* move log about benchmark mode to the measuring perfomance step
* added class for latency metrics
* upd readme, fix typos, renamed funcs
* fix warning and upd parsing to avoid error with : in file paths
* fix error on centos : error: use of deleted function ‘std::basic_stringstream<char>::basic_stringstream(const std::basic_stringstream<char>&)
* added check for key in inputs
* renamed input to inputs
* adjust batch size for binary blobs
* replaced warning with exception in bench mode defining
* align measurement cycle with master
Co-authored-by: ivikhrev <ivan.vikhrev@intel.com>
* ov2.0 IE samples modification
apply code style
turn off clang style check for headers order
unify samples a bit
add yuv nv12 reader to format_reader, helloe_nv112 sample
hello_reshape_ssd ov2.0
* sync with PR 8629 preprocessing api changes
* fix for slog << vector<int>
* add operator<< for ov::Version from PR-8687
* Update samples/cpp/hello_nv12_input_classification/main.cpp
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
* apply code style
* change according to review comments
* add const qualifier
* apply code style
* std::ostream for old inference engine version to make VPU plugin tests happy
* apply code style
* revert changes in print version for old api samples
* keep inference_engine.hpp for not ov2.0 yet samples
* fix merge artifacts
* fix compilation
* apply code style
* Fixed classification sample test
* Revert changes in hello_reshape_ssd sample
* rebase to master, sync with PR-9054
* fix issues found by C++ tests
* rebased and sync with PR-9051
* fix test result parsers for classification tests (except unicode one)
* fix mismatches after merge
* rebase and sync with PR-9144
Co-authored-by: Mikhail Nosov <mikhail.nosov@intel.com>
Co-authored-by: antonrom23 <anton.romanov@intel.com>
* OV2.0 API C++ hello_reashe_ssd sample
* clean header
* fix test for changed sample cmd line
* adopt to PR-8898
* sync with PR-9054, simplify code
* apply code_style.diff
* sync with PR-9051
* 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
* Initial version (no tests)
* Added tests
* Fix centos
* Applied review comments
* Renamed 'ov::util::get_batch_size' to 'ov::pass::get_batch'. For set_batch_size update is the same
* Changed to ov::get_batch and ov::set_batch
* 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
* Use ninja multu-config
* Reused OV_GENERATOR_MULTI_CONFIG
* Try to use config in api_validator post build task
* Fixes
* Revert "[GPU] Fix multi configuration build of onednn_gpu (#8743)"
This reverts commit a862331732.
* Propogate disable deprecated for _RELEASE flags as well
* Added samples smoke tests
Added implementation into azure pipeline
Update copyrights
Added python path
Update common part
modify windows.yml
* resolve conflicts
* New redesign of samples_smoke_tests including adding CMakeLists in order to install smoke tests on system, getting of smoke_tests_data archive
* fixed windows.yaml
* added checking path of samples
* changed path to INSTALL_DIR
* Fixed windows.yml file
* changed IE_APP_PATH
* Updated readme file for smoke tests
* Disable run tests on linux static build
* skipped test with related issue 71298
* change after review
Co-authored-by: Maxim Gordeev <maxim.gordeev@intel.com>
Egor Duplensky