emmap | Erlang Memory Map | Runtime Evironment library

 by   krestenkrab C++ Version: Current License: Apache-2.0

kandi X-RAY | emmap Summary

kandi X-RAY | emmap Summary

emmap is a C++ library typically used in Server, Runtime Evironment applications. emmap has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Erlang Memory Map
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            kandi-support Support

              emmap has a low active ecosystem.
              It has 70 star(s) with 21 fork(s). There are 8 watchers for this library.
              OutlinedDot
              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 1 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of emmap is current.

            kandi-Quality Quality

              emmap has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              emmap 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.

            kandi-Reuse Reuse

              emmap 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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            emmap Key Features

            No Key Features are available at this moment for emmap.

            emmap Examples and Code Snippets

            No Code Snippets are available at this moment for emmap.

            Community Discussions

            Trending Discussions on emmap

            QUESTION

            Tensorflow Docker Build from source options
            Asked 2019-Mar-21 at 13:14

            I am trying to build tensorflow code from source. My goal is to understand the code base and see if there are any areas I can contribute to. To this end I have cloned the tensorflow source tree from tensorflow docker shell. When I ran ./configure I got a bazel version error that I fixed by upgrading to latest bazel. Now among the remaining options what would be a minimal set that would result in a successful build without any additional installs? Currently am running into a ComputeCPP not found error. Any suggestions will be much appreciated. TIA, EmmaP

            ...

            ANSWER

            Answered 2019-Mar-21 at 13:14

            Steps I followed to build docker from source on my windows laptop

            • Created a Ubuntu 18.04 VM for virtualbox.
            • Installed docker. Went with this option as Docker on windows essentially does the same thing.
            • Followed instructions here under Docker Linux builds.
            • Ran config and went with default options.
            • Ran build to create pip package.

            Source https://stackoverflow.com/questions/55246998

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

            Vulnerabilities

            No vulnerabilities reported

            Install emmap

            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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            CLONE
          • HTTPS

            https://github.com/krestenkrab/emmap.git

          • CLI

            gh repo clone krestenkrab/emmap

          • sshUrl

            git@github.com:krestenkrab/emmap.git

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