* Fixed output_model logic.
* Removed InputCutInfo, disabled input cut in ovc.
* Disabled output cut, added tests for setting shapes or types for not all inputs.
* Returned support of numpy type.
* Separated MO and OVC python API tests.
* Small corrections.
* Added output dir test, exceptions test.
* Tests fixed.
* Corrected extension param description.
* Corrected input description, minor code corrections.
* Change `VPUX`/`VPU` occurrences to `NPU`
* Switch `HARDWARE_AWARE_IGNORED_PATTERNS` VPU to NPU
* Rename `MYRIAD plugin`
* Rename vpu_patterns to npu_patterns in tools/pot
* Rename vpu.json to npu.json in tools/pot
* Rename restrict_for_vpu to restrict_for_npu in tools/pot
* Change keembayOptimalBatchNum to npuOptimalBatchNum
---------
Co-authored-by: Dan <mircea-aurelian.dan@intel.com>
* Remove inits, update main one
* Fix stacklevel
* Testing wrong solution
* Testing test test
* Fix test test test test
* mo modules mo problems
* Xfail test that check stdout/err?
* not so correct solution to circular imports
* Fix or not to fix
* CMake magic, co-authors: my best team
* Fix package imports
* Fix tools inits
* Fix ovc tf
* Fix Q000
* Fix F401
* Fix linters
* Add save_model
* Remove LayoutMap
* Move test_utils to 'internal modules'
* First testing
* Missing Type
* Expand main namespace
* Change some more tests
* Add OVAny to namespace
* Add Constant and Parameter to namespace
* More tests changes
* Fix inits
* Add layout_helpers to main namespace
* Revert CMake and linux.yml with ovc
* Update main inits
* Remove MO from tools inits
* changes to init files
* Fix tests
---------
Co-authored-by: Sergey Lyalin <sergey.lyalin@intel.com>
* Fix -api sync for single -data_shape
Tickets 111187 and 111185
I wasn’t able to find C++ equivalent of Python’s `info.original_shape.is_static`. Later I realized that it shouldn’t be considered because -shape cmd arg should have higher priority for shape inference than model’s shape. So I removed it from Python.
Replace
`if benchmark.inference_only and batch_size.is_dynamic:`
with
`if allow_inference_only_or_sync and batch_size.is_dynamic:`
to reset batch_size to static in case of dynamic shape with single -data_shape
* Check only app_input_info.size() == 1 because if it's gretaer than 1, input shape is dynamic and there are more that one static shapes. Apply TODO
* Used pip wheel to build OpenVINO wheel
* Improvements
* Added python api properly into deb / rpm packages
* Use cmake -E variant from cmake 3.13
* Improvements to fix CI
* Some refactoring
* Don't use developer package for scripts projects
* Final fixes
* benchmark_app: except ALLOW_AUTO_BATCHING
Running benchmark_app.py with -b 1 -d CPU fails with
`Unsupported property ALLOW_AUTO_BATCHING by CPU plugin`.
C++ benchmark_app sets ALLOW_AUTO_BATCHING in
ov::Core::compile_model() call, which doesn't trigger the error.
* Move `ALLOW_AUTO_BATCHING` to `device_config`
* 1. refine the logic to ov::device::properties setting.
2. the config overrides will be performed if same config setting is came from CMD line.-a
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update configuration sample file within README.md.
* Update.
* Update.
* 1. Update configuration example file within REAMDME.md for Python version.
2. implement the config DEVICE_PROPERTIES value convertation between the string type and dictionary of Python type.
3. Update the configuration file loading and dumping logic.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update.
* Update.
* Update.
* Update.
* Update.
* 1. Enable configs to be interchangeable between C++ and Python.
2. Update perf_count showing logic.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Revert the logic of showing show performance counters.
* Update help msg for loading config option.
---------
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* py/benchmark_app: fix -hint
Don't warn about values which are explicitly set in -hint.
That aligns C++ and Python implementations.
Ticket 106544
* Remove extra throw
* Fix code style
* Check if the device is supported when AUTO retrieves the device list based on the ov::device::priorities.
* Update the logic to handle the situation like -d AUTO:-CPU to benchmark APP.
* Remove MYRIAD and add NVIDIA for AUTO supported devices.
---------
Co-authored-by: Chen Peter <peter.chen@intel.com>
Co-authored-by: Shen, Wanglei <wanglei.shen@intel.com>
* Update ov::hint::performance_hint UNDEFINED value from empty string to "UNDEFINED".
* Update benchmark Python version.
* Update.
* Update.
* Update.
* Update the description about hint setting within benchmark APP README and help message.
* Disable set_property() to support ov::device::properties setting.
* Update benchmark APP to set device properties through compile_model() instead of through set_property().
* Update.
* Update.
* Update some test case including ov::device::properties setting via core.ser_property().
* Since core.set_property() didn't support ov::device::properties setting, just remove the test case to check compile_model() works well if setting ov::device::properties via core.set_property() first.
* Update CompileModel in test name to CompiledModel
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Add corresponding test case.
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
* Update.
* Update.
* Remove the changes of this commit as this modification has nothing to do
with this PR.
This reverts commit 4f04b9f085.
---------
Signed-off-by: Wang, Yang <yang4.wang@intel.com>
Co-authored-by: Chen Peter <peter.chen@intel.com>
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* benchmark_app: factor out advanced options
* cpp/benchmark_app: add usage word
* move api to advanced, group b/shape/data_shape/layout into Input shapes, factor out Statistics dumping options
* Factor out Device-specific performance options
* Factor out Preprocessing options
* Minor regroup
* [C++/BENCHMARK_APP] Introduce Numpy array loading for C++ benchmark app
* [DOCS/BENCHMARK_APP] Update docs to reflect changes, update list of available extensions from OpenCV, align help messages
* Update inputs_filling.cpp
* Update tools/benchmark_tool/openvino/tools/benchmark/utils/inputs_filling.py
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* Update samples/cpp/benchmark_app/inputs_filling.cpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* [C++/Python] Implement quality-of-life improvements from PR comments
* [C++] Fix compilation errors, fix linter output
* [C++/PYTHON] Apply requested changes
* Update samples/cpp/benchmark_app/main.cpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* Update samples/cpp/benchmark_app/utils.cpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* [PYTHON] Separate loading of numpy arrays similar to images
* [PYTHON] Remove unnecessary 'Prepare xxx file' print
* Update README again because IF OPENCV.. dissapeared for some reason
* Update second README with missing IF OPENCV..
* [C++] Remove unnecessary vector print function
* [C++ Add Numpy processing function - TODO link it to the tensor filling
* Reverse OneDnn plugin modification
* [C++] Numpy array loading for C++
* [C++] Add (almost) all missing types of data
* Reverse submodule modifications
* [C++/PYTHON] Fix compilation errors, clean code
* [C++] Modify supported extensions, add numpy checking to utils, add numpy to get_image_info method
* Update samples/cpp/benchmark_app/inputs_filling.cpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* [C++] Fix utils header file to reflect unordered set change
* [PYTHON/C++] Fix compilation errors in C++ code, fix Python dynamic shapes numpy loading
* [C++] Fix explicit instantiation of NumpyArray reader
* [C++] Clang format, minor syntax fixes
* [PYTHON/C++] Remove unnecessary data types, introduce a new approach to cast data of different types from format_rt_reader, remove uppercase types from Python precision parameters
* [PYTHON] Update README to reflect new precision settings
* [PYTHON] Fix README, fix clang format
* [C++] Clean headers
* [C++] Fix uninitialized variable error
* [C++/PYTHON] Fixed choices in Python benchmark, fixed types in C++ benchmark
* [C++] Fixed ov::float16conversion, fixed Python types map - removed redundancies
* [C++] Add back boolean support
* [C++] Fix compilation errors
---------
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* [Python] Align pc output in Python benchmark, update sorted output to new headers, print floats with 6-digit precision, fix date format printing to excel-friendly
* [PYTHON/C++] Change precision of raports and pc counters report, simplify code
* [C++] Align C++ benchamrk_app report to Python's by setting the precision value to 3
* [C++] Fix CsvDumper precision
* [C++/PYTHON] Align pcand pcsort outputs, merge C++ printSort methods into one
* Update samples/cpp/common/utils/include/samples/common.hpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* Update samples/cpp/common/utils/include/samples/common.hpp
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
* [C++] Display a warning if Power Mode is not 'Max Performance' - rebase from master
* [C++] Prevent std::max from colliding with windows.h max macro
* [PYTHON/C++] Update README docs to reflect possible inaccuracies from optimization settings
* [C++] Cleanup windows optimizations
* [Tools] Avoid use of NumPy deprecated types
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
* Revert "[Tools] Avoid use of NumPy deprecated types"
This reverts commit 21ffc167d1.
* Move to 1.24 Numpy
Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
