tensorrt_l2norm_helper | TensorRT plugin that allows to use tf | Machine Learning library

by r7vme C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tensorrt_l2norm_helper Summary

tensorrt_l2norm_helper is a C++ library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. tensorrt_l2norm_helper has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

TensorRT plugin that addresses issue with two unsupported oprations within l2_normalize TensorFlow operation. NOTE: as per NVIDIA (r)sqrt operation should be fixed in next release (was not fixed in TensorRT 5.0.6).

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Support

tensorrt_l2norm_helper has a low active ecosystem.

It has 27 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorrt_l2norm_helper is current.

Quality

tensorrt_l2norm_helper has 0 bugs and 0 code smells.

Security

tensorrt_l2norm_helper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorrt_l2norm_helper code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorrt_l2norm_helper is licensed under the MIT License. This license is Permissive.

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

Reuse

tensorrt_l2norm_helper releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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tensorrt_l2norm_helper Key Features

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tensorrt_l2norm_helper Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorrt_l2norm_helper

Error in Cmake "The CUDA compiler identification is unknown" while creating the docker build

QUESTION

Error in Cmake "The CUDA compiler identification is unknown" while creating the docker build

Asked 2020-May-18 at 01:13

I am trying to create a docker build in Xavier. When I run my piece of code without docker it works smooth and I got The CUDA compiler identification. But when I am trying to make a build with dockerfile it gave me an error of CUDA compiler identification is unknown.

Below is my dockerfile steps:

...

ANSWER

Answered 2020-May-18 at 01:13

The base image of l4t does not load the runtime components of nvidia by default. They only have the stubs. If you want to do this, you will need to enable the default-runtime nvidia in the /etc/docker/daemon.json file. This will load all the runtime components such as nvcc.

Source https://stackoverflow.com/questions/61673201

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

Vulnerabilities

No vulnerabilities reported

Install tensorrt_l2norm_helper

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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