tensorflow-gpu-macosx | Unoffcial NVIDIA CUDA GPU support version of Google | GPU library

by zylo117 C++ Version: 1.8.1 License: Apache-2.0

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kandi X-RAY | tensorflow-gpu-macosx Summary

tensorflow-gpu-macosx is a C++ library typically used in Hardware, GPU, Pytorch, Tensorflow, Numpy, macOS applications. tensorflow-gpu-macosx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

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tensorflow-gpu-macosx has a low active ecosystem.

It has 102 star(s) with 21 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 8 have been closed. On average issues are closed in 112 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-gpu-macosx is 1.8.1

Quality

tensorflow-gpu-macosx has no bugs reported.

Security

tensorflow-gpu-macosx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tensorflow-gpu-macosx 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

tensorflow-gpu-macosx releases are available to install and integrate.

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

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tensorflow-gpu-macosx Key Features

No Key Features are available at this moment for tensorflow-gpu-macosx.

tensorflow-gpu-macosx Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorflow-gpu-macosx

pip search finds tensorflow, but pip install does not

QUESTION

pip search finds tensorflow, but pip install does not

Asked 2020-Jan-23 at 06:55

I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

...

ANSWER

Answered 2019-Jan-02 at 22:56

It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

Source https://stackoverflow.com/questions/54014076

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-gpu-macosx

You can download it from GitHub.

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