Files
openvino/tools
Pavel Esir 41d4fcdf25 [MO] Add reverse_infer (input rank deducing) for set of operations (#8928)
* grouped convolution resolver fix

* add reverse_infer for Transpose, Elementwise, Identity and some fixes to successfully OOB convert MXNet models

* add reverse_infer for BatchNorms, dynamic groups fix, multi_box_prior.py fix

* add reverse infer for trivial cases

* input rank setting for image detection ops

* reverse_infer for Gather, AttributedGather add todo comment for Parameter

* reverse infer for LSTM, swapaxis; fixes and unit-tests for Elementwise, Gather, Transpose; also generalized Parameter reverse_infer; fixed DetectionOutput and partial reverse_infer

* clarified comment for LSTM reverse_infer

* detalized Elementwise reverse_infer, added several more unit-tests, Split reverse_infer fix, IteratorGetNext_ext.py fix

* generalized group convolution resolver

* specified in_ports explicitly

* clarified Split, Concat, Parameter, other minor typos

* relaxed compatibility check for elementwise; simplified scalar extracting for convolution.py and gather.py, fixed replacer order for ConvolutionNormalizer.py

* added routine set_input_shapes for image detection ops

* fixed typos to pass locally E2E, slightly changed LSTM reverse_infer

* VariadicSplit reverse_infer bugfix

* IteratorGetNextCut.py added check if port is connected

* explicitly specified in_port, added asserts, improved Split reverse infer

* sorted imports

* reverse_infer for ONNX and MXNet LSTM, GRU, RNN operations

* replaced Error raising with red warning

* added missing return for defined input shapes, fixed getting num groups for tf conv

* added mandatory attributes; fixed failing unit-tests, fixed typo with scalar group in ConvolutionNormalizer

* removed priorbox reverse_infer; Parameter reverse_infer corrected to use the only one existing out_port

* fixed clarify_partial_shape_test
2022-01-25 10:14:41 +03:00
..

OpenVINO™ Python* development tools

General

OpenVINO includes following tools:

  • openvino.tools.benchmark

Please, refer to https://docs.openvinotoolkit.org 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 --user option for all pip commands.
  • 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.