ngraph | nGraph has moved to OpenVINO | Machine Learning library

by NervanaSystems C++ Version: v0.29.0-rc.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | ngraph Summary

ngraph is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. ngraph has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets. We strongly believe in providing freedom, performance, and ease-of-use to AI developers. The diagram below shows deep learning frameworks and hardware targets supported by nGraph. NNP-T and NNP-I in the diagram refer to Intel's next generation deep learning accelerators: Intel Nervana Neural Network Processor for Training and Inference respectively. Future plans for supporting addtional deep learning frameworks and backends are outlined in the ecosystem section.

Support

Quality

Security

License

Reuse

Support

ngraph has a medium active ecosystem.

It has 1357 star(s) with 231 fork(s). There are 132 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 239 have been closed. On average issues are closed in 259 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ngraph is v0.29.0-rc.0

Quality

ngraph has 0 bugs and 0 code smells.

Security

ngraph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ngraph code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ngraph is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ngraph releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 11520 lines of code, 321 functions and 62 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ngraph

Get all kandi verified functions for this library.

ngraph Key Features

No Key Features are available at this moment for ngraph.

ngraph Examples and Code Snippets

No Code Snippets are available at this moment for ngraph.

Community Discussions

Trending Discussions on ngraph

How to write a simple CMAKELISTS for OpenViNO to my C++ programme in Linux

OpenVINO MULTI:MYRIAD with sequential inference is inefficiency and usually shows "XLink_sem_wait:94" and "XLinkResetRemote:257" logs

OpenVINO environment initialized automatically with PyQt5 could not work normally

Webpack is not bundling a imported and used function

Custom Python Remove Interpreter with OpenVINO initialization

How do I execute a .BAT script before debugging Python code?

Undefined reference to function although linked against library

QUESTION

How to write a simple CMAKELISTS for OpenViNO to my C++ programme in Linux

Asked 2022-Feb-13 at 18:38

I have been trying very hard to set up OpenVINO for my C++ programme. But the official guide was very unclear to me (partially because I am a very beginner). I was struggling to understand how it finds "InferenceEngine_LIBRARIES" (or "OpenCV_LIBS") without even defining it.

I have tried to understand some examples in GitHub but sadly many of them are for older versions. I was wondering if I could have a minimum demo of the CMakeLists.txt to use the OpenVINO. Thank you very much.

--- Updates ---

Thanks for the comments. I understand some things were handled by CMake behind the scene. Going to the point, here is my CMakeLists file

...

ANSWER

Answered 2022-Feb-13 at 18:38

The linker error shows that it cannot find the TBB symbols. The TBB library should be pointed to by the TBB_DIR variable. You don't have to set those variables manually using cmake's set() function. Instead - in the shell where you compile your own app - you can source OpenVINO's setupvars.sh script. Just run something like: source /opt/intel/openvino_2021/bin/setupvars.sh and re-run the compiler. I can see you're using CLion, not the terminal directly. In that case you can try adding the variable manually. The TBB location might be slightly different between the OV versions but in general it should point to a subdirectory of /opt/intel/openvino_2021 - just browse the installation directory and try to find it or source setupvars.sh in the terminal and copy the TBB_DIR env var value to your IDE.

Source https://stackoverflow.com/questions/71080899

QUESTION

OpenVINO MULTI:MYRIAD with sequential inference is inefficiency and usually shows "XLink_sem_wait:94" and "XLinkResetRemote:257" logs

Asked 2022-Jan-13 at 02:25

I have integrated OpenVINO and PyQt5 to do the inference job as shown in the image on Windows 11 with openvino_2021.4.689 version.

I reference this GitHub to finish YOLOv4 inference with NCS2.

The following is my inference engine code.

...

ANSWER

Answered 2022-Jan-13 at 02:25

The optimum way to use this Multi-plugin with multiple devices is by configuring the individual devices and creating the Multi-Device on top.

For example:

Source https://stackoverflow.com/questions/70639620

QUESTION

OpenVINO environment initialized automatically with PyQt5 could not work normally

Asked 2021-Dec-29 at 02:06

I have integrated OpenVINO and PyQt5 to do the inference job like this on Windows 11.

Because we have to initialize OpenVINO environment by executing setupvars.bat first.

I think that it is bothered for user to manually initialize OpenVINO environment before doing the inference job.

Therefore, I try to build up the auto-initialized program with my PyQt5 code.

...

ANSWER

Answered 2021-Dec-29 at 02:06

First and foremost, please take a note that Windows 11 is not officially supported by OpenVINO. Hence, issues are expected. The same goes for PyQt5 integration with OpenVINO packages.

You could automate the OpenVINO setupvars.bat initialization using batch file creation in Windows.

Create a batch file that initializes OpenVINO environment and launch the software that you want (eg: VS2019)

Write the script below in the .bat file:

@echo on

cd \bin

CALL setupvars.bat

cd \2019\Community\Common7\IDE

CALL devenv.exe

Run the .bat file as administrator

Since the integration of OpenVINO and PyQt5 is not officially supported, there's no specific documentation to be followed as a guide.

On another note, a similar kind of integration has been implemented in openvino-smart-library. You may refer to this repository for reference/workaround.

In addition to that, you'll need to integrate the OpenVINO Inference Engine into your application (only C++ or Python is supported for this purpose). You may refer to this Integrate Inference Engine with Your Python Application.

Source https://stackoverflow.com/questions/70491435

QUESTION

Webpack is not bundling a imported and used function

Asked 2021-Oct-13 at 06:59

I'm trying to include and use the function BootstrapCookieConsentSettings from the npm package bootstrap-cookie-consent-settings in my function initConsentBanner but webpack always throws it away and does not include it even though it is used in the referenced entry.js file. Why is it not included?

webpack.config.js:

...

ANSWER

Answered 2021-Oct-13 at 06:59

If you look at the source of bootstrap-cookie-consent-settings (source code), you see that the BootstrapCookieConsentSettings function is not exported. Therefore it is not visible in your entry.js, when you try to import it.

You could simply modify the function in node_modules/bootstrap-cookie-consent-settings/src/bootstrap-cookie-consent-settings.js, so that the function will be visible to your code:

Source https://stackoverflow.com/questions/69509551

QUESTION

Custom Python Remove Interpreter with OpenVINO initialization

Asked 2021-Oct-12 at 15:46

I use PyCharm to connect to a remote interpreter (but I guess the answer is somewhat unrelated): basically, PyCharm connects to a remote Python interpreter through SSH and execute the code on a remote machine.

The remote interpreter that I used is actually "tweaked". It is a file called mypython that contains the following code:

...

ANSWER

Answered 2021-Oct-12 at 15:46

Possible solution:

log into the server using ssh
run source /opt/intel/openvino_2021.1.110/bin/setupvars.sh
run printenv Include all the variables into the mypython source code. I would still like to know if there is a way to run source /opt/intel/openvino_2021.1.110/bin/setupvars.sh within mypython source code.

EDIT: in my caseremoving this from my environment variables fixed the issue:

Source https://stackoverflow.com/questions/69533885

QUESTION

How do I execute a .BAT script before debugging Python code?

Asked 2021-Jun-28 at 09:55

I want to step through a program using PyCharm. Before executing the program, I must first execute a.bat script to set some environment variables, otherwise my program will not find some libraries. Is there any way to solve this problem?

I tried using subpross(" xx.bat") and os.system(" xx.bat"), but both failed.

The BAT file context:

...

ANSWER

Answered 2021-Jun-28 at 09:55

I solved the problem by :

Execute the CMD command.
Execute the BAT script in the window.
Execution of the PyCharm64.exe Program (mine is :C:\Program Files\JetBrains\PyCharm 2021.1.2\bin\ PyCharm64.exe)

In this case, the PyCharm program is a child of CMD.

Source https://stackoverflow.com/questions/68159294

QUESTION

Undefined reference to function although linked against library

Asked 2020-Aug-05 at 21:08

I am trying to build the open source project he-transformer in a Docker container. This is a tool build on top of ngraph, which is connected via ngraph-bridge with tensorflow, to enable writing deep learning programs using a graph-based abstraction. he-transformer is an extension of ngraph that allows inference over encrypted data using homomorphic encryption.

I use the latest he-transformer commit on the master branch (6d5a5b39). The build process throws many undefined reference errors:

...

ANSWER

Answered 2020-Aug-05 at 21:08

Kudos for this hint to the repository maintainer of he-transformer, Fabian Boemer. He noticed that the logs indicate an issue with the CXX ABI. The issue is caused by compiling ngraph with an old version of g++ (< 5.1). The log confirms this, see compiler identification is GNU 4.8.5.

Removing the installation of gcc 4.8 from the Dockerfile so that the system's default is gcc-7 solved the issue and could successfully compile he-transformer.

Source https://stackoverflow.com/questions/63206829

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ngraph

To begin using nGraph with popular frameworks, please refer to the links below.
Ubuntu 16.04 or later
CentOS 7.6
Debian 10
macOS 10.14.3 (Mojave)

Support

We welcome community contributions to nGraph. If you have an idea how to improve it:. We will review your contribution and, if any additional fixes or modifications are necessary, may provide feedback to guide you. When accepted, your pull request will be merged to the repository.

Find more information at: