0513a79a79
* Infrastructure for tflite * Removed submodule flatbuffers * Added flatbuffers submodule. Fixed version to v22.12.06 aka acf39ff * Move headers back * Flatbuffers integration * Small fixes * Started parsing the Model * flatbuffer changes * decoder_flatbuffer changes * Lite Input Model -- not needed as of now but looks cool * Rolled back inherritance from ov::frontend::tensorflow::InputModel * Results are not treated as outputs, but its ok * Fix missplaced input vs output * Refactor * Load model op-by-op. Frontend API finalized * Debugging still, there are prints here and there. Decoder is not sane * Convolution with all attributes is translated and quantization is applied for inputs and constatants. TODO: quantize intermediate tensors, separate decoder specific logic? * Float ssd and posenet models are showing good accuracy * Need to refactor but work flawlessly * Telemetry and lightweight model cutting * Code style and test changes. Extensions supported * Quantization and style * Style refinements * Move onednn back * New portion of operations enabled * TFLite FE doesn't inherrit TF FE * Moved files to another directory * Rename header op_table.hpp to common_op_table.hpp for all files in src/frontends/tensorflow_common/src/op/ * Removed visability macroses * CMake changes * Unit-test execution in .ci * Update labeler.yml * Codeowners * Style check and fix * Static Build arrangement * Addressing the comments * install common headers to previous place * New approach with public decoder and graph_iterator * New approach with public decoder and graph_iterator * Move GraphIterator back * Comments addressed * Comments adressed * Preliminary TF FE README.md changes * Added target_compile_definitions OPENVINO_STATIC_LIBRARY for static build * Fixed conflicts and added TF to common places * Frontends use only openvino::core::dev API * Merged common tensorflow changes and made code build and work on selective number of models * Style * Rollback unnecessary changes from Tensorflow FE * Rollback unnecessary changes from Tensorflow Common * Minor refactor * cmake minor refactoring * Mixed commit * Style and merge fix * Low hanging fruit operations * Fix windows build * Refactor quantization parameters representation * license compliance. approved by OS PDT * copyrights in generic file * dependabot * labeler * Unit Test to be triggered in CI * cmake variables naming. corrected copyright years in copyrights/generic file * library renamed in .ci/ calls * Copyright year update * Set openvino-tf-frontend-maintainers as owner of /src/frontends/tensorflow_lite/ * Fixed flatc corss-compilation * Cleaned flatbuffers header usage * Nitpicks solved * Update cmake/templates/OpenVINOConfig.cmake.in * Compile with flatbuffers headers * Fixed "which is prefixed in the source directory" * Fixed typo in flatbuffers cmake * Removed flatbuffers submodule * Added fork submodule * Fixed static build * Fixed cross-compilatio * Fixed -Wshadow warning * Fixed warning on Windows * Use only headers from flatbuffers library * Added LTO and fixed compilation errors on Windows * Fixed warnings in tensorflow_common * Move ctors implementation to cpp file * Added information about new frontends to common FEm part * Temporaryily disable warnings * Fixed code style using clang-format * Fixed Windows * reverted changes in onnx * Revert changes in onnx_common * Removed pragma once frm cpp Co-authored-by: missjane <estepyreva@gmail.com> Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
OpenVINO™ Python* development tools
General
OpenVINO includes following tools:
- openvino.tools.benchmark
Please, refer to https://docs.openvino.ai for details.
Installation
Prerequisites
Install prerequisites first:
1. Python
Install Python prerequisites:
Run following command to install these prerequisites on Ubuntu*:
sudo apt-get install python3 python3-dev python3-setuptools python3-pip
Python setuptools and python package manager (pip) install packages into system directory by default. There are several options:
- work inside [virtual environment][virtualenv] (best solution).
- use
--useroption for allpipcommands. - install all dependencies with sudo permissions.
In order to use virtual environment you should install it:
python3 -m pip install virtualenv
python3 -m virtualenv -p `which python3` <directory_for_environment>
Before starting to work inside virtual environment, it should be activated:
source <directory_for_environment>/bin/activate
Virtual environment can be deactivated using command
deactivate
2. Install packages
You can install tools by specifying path to tool with setup.py in pip install command:
python3 -m pip install <tools_folder>/
For example, to install Benchmark Tool, use the following command:
python3 -m pip install benchmark_tool/
Configuration
Each subpackage has specific configuration. Please, refer to specific subpackage documentation for details.