* [POT] Support subgraphs
* Add support for inplace statistics
* Fixed cascade models
* Fixed bug
* Fixed import
* Fix name
* Add test
* Fix comments
* Replace test model
* Replace test model
* Add recursively flag
* Fix pylint
* Updated AA node names
* Fix adding results to node
* Disable subgraph quantization
* Disable recursion search in graph
* Skip test with subgraphs quantization
* Added special passes to remove and add Convert operations in POT
* Update passes
* Implement changes to support new FP16 models
* Apply codestyle patch
* Revert Cast inserting and add data parameter
* Update FastBC rule
Co-authored-by: Malinin, Nikita <nikita.malinin@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
* added function for calculating the number of discret levels in the input tensors and tests for this function
* added function for calculating the number of discret levels in the input tensors and tests for this function
* fixed pylint issues
* changed the function for delta estimation from mean to min
* added empty delta array processing in get_num_levels func and tests for it
* Add inputs-to-files path to benchmark_tool
* Add inputs-to-files path to benchmark_tool
* Add inputs-to-files path to benchmark_tool
* Remove `<>`
* Fix binary input fill
* Remove redundant checks
Change `:` delimiter to `::`
* Delete print
* Change delimiter to `:`
Add support for list of files
* Add warning if some inputs filled with random values
* Add openvino-dev wheel build from opensource
* fix path to OMZ tools
* fix for working directory
* change order
* pull out requirements to requirements.txt for snyk scans
* fix patterns
* fix patterns
* fix AttributeError: : 'PosixPath' object has no attribute 'startswith'
* rebasing the perf-modes-2021.3 to the 2021.4
Caveats:
the (explicit) setting #streams is not disabled (as it was before for experiments with DLBenchmark), and the logic slighlty differ (streamsSet)
(cherry picked from commit 1ae1edc0ed)
* overriding streams (to force the TPUT mode to the DLBenchnark)
(cherry picked from commit 7f506cda31)
* disabling reducing #streams to fully mimic baseline c4df94d42d of the 2021.3 (before experiments)
(cherry picked from commit 85073dd1dd)
* clang/identation
(cherry picked from commit 050a4155a9)
* splitting the Transformation to general and CPU specific.
Now hopefully,this fully mimics the baseline c4df94d42d of the 2021.3 (before experiments), as the streams reduce num (as well as early exit on GRU/LSTM/TensorIterator) is deisabled
(cherry picked from commit e98b2c1a67)
* disabling GRU/LSTM/TI + reducing of streams + 5D considered compute-limited only for int8
(cherry picked from commit 32b8d80dee)
* refactored to avoid compute_limited_ratio, reverted the reducing #streams, removed LSTM from limitations
(cherry picked from commit f2b972171b)
* isa-based threshold logic
(cherry picked from commit b218457e1a)
* mode->hint
(cherry picked from commit ec20aa8eca)
* optional PERFORMANCE_HINT_NUM_REQUESTS
(cherry picked from commit 5a3883e3f3)
* moving the perfHints to the common OV config class + initial tests (CPU only, as the actual AUTO/MULTI should be accommodated on the master)
(cherry picked from commit (then fixed)45bafe7d527f466507dea0693aeed51be4ebf776)
* AUTO support for PerfHints
* MULTI support for PerfHints
* Enabling Perf hints for the GPU plugin
* brushing settings output a bit
* disabling "throughput" perf hint being default (until OV 2.0)
* uncommenting the logic which was disabled to force the DLBenchmark to use the throughput mode by default
* removing dead and experimental code, and debug printfs
* clang/code-style
* code-review remarks
* Moved the output of the actual params that the hint produced to the right place
* aligning MULTI's GetConfig beh to HETERO's as captured in the preso (CVS-59960) ratified with the ArchForum
* clang
* benchmark_app brushing
* Update inference-engine/samples/benchmark_app/README.md
* propagating the perf hints thru one more scenario in the merged AUTO-MULTI
* fixed mispint
* Python benchmark_app update for perf hints
* addresssing reviewers comments on the python benchmark_app
* simplifying/brushing logic a bit
* refactor the heuristic to the separate file (to be shared with iGPU soon)
* refactor conversion of modes to the specific GPU config per feedback from Vladimir
* add missed __init__.py files
* Update __init__.py
empty line
* Merge infirence_engine/tools/benchmark_tool with tools/benchmark_tool
* Update MD links
* remove benchmark_tool from package_BOM.txt
* add tools folder to the list of Doxygen files
* fix relative paths
* Update index.md
remove extra line
* Add input image scale flag in benchmark app.
- user set input image scale with -iscale.
input is divided by scale.
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Apply image scale, mean parameter in benchmark APP
Means and sacles values per channel
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Fix clang-format
Signed-off-by: hyunback <hyunback.kim@intel.com>
* fix clang-format issue2.
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Update benchmark tool to align the format of mean and sacle values with MO arguments.
Signed-off-by: hyunback <hyunback.kim@intel.com>
* Remove debug print.
Signed-off-by: hyunback <hyunback.kim@intel.com>
