tensorflow-cmake | Integrate TensorFlow with CMake projects | Build Tool library

 by   cjweeks Shell Version: Current License: MIT

kandi X-RAY | tensorflow-cmake Summary

kandi X-RAY | tensorflow-cmake Summary

tensorflow-cmake is a Shell library typically used in Utilities, Build Tool, Tensorflow, OpenCV applications. tensorflow-cmake has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Integrate TensorFlow with CMake projects effortlessly
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              tensorflow-cmake has a low active ecosystem.
              It has 312 star(s) with 87 fork(s). There are 23 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 25 open issues and 22 have been closed. On average issues are closed in 25 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tensorflow-cmake is current.

            kandi-Quality Quality

              tensorflow-cmake has 0 bugs and 0 code smells.

            kandi-Security Security

              tensorflow-cmake has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tensorflow-cmake code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tensorflow-cmake is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tensorflow-cmake releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            tensorflow-cmake Key Features

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

            tensorflow-cmake Examples and Code Snippets

            No Code Snippets are available at this moment for tensorflow-cmake.

            Community Discussions

            QUESTION

            When running with Bazel, where should I save .pb graphs for Tensorflow?
            Asked 2018-Jun-01 at 09:16

            Directory structure:

            ...

            ANSWER

            Answered 2018-Jun-01 at 09:16

            Silly oversight... I entered the full path. From this:

            status = ReadBinaryProto(tf::Env::Default(), "graph.pb", &graph_def);

            To this:

            status = ReadBinaryProto(tf::Env::Default(), "/home//path/to/graph.pb", &graph_def);

            Source https://stackoverflow.com/questions/50639780

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

            Vulnerabilities

            No vulnerabilities reported

            Install tensorflow-cmake

            Follow the instructions for installing Bazel. Install dependencies and clone TensorFlow from its git repository:.
            The TensorFlow runtime library requires both Protobuf and Eigen. However, specific versions are required, and these may clash with currently installed versions of either software. Therefore, two options are provided:. Choose the option that best fits your needs; you may mix these options as well, installing one to /usr/local, while keeping the other confined in the current project. In the following instructions, be sure to replace <EXECUTABLE_NAME> with the name of your executable. Additionally, all generated CMake files should generally be placed in your CMake modules directory, which is commonly <PROJECT_ROOT>/cmake/Modules.
            Install the packages to a directory on your computer, which will overwrite / clash with any previous versions installed in that directory (but allow multiple projects to reference them). The default directory is /usr/local, but any may be specified to avoid clashing. This is the recommended option.
            Add the packages as external dependencies, allowing CMake to download and build them inside the project directory, not affecting any current versions. This will never result in clashing, but the build process of your project may be lengthened.
            If Bazel fails to build the TensorFlow library, stating error: Could not find compiler "gcc" in PATH, you may have to execute the following:.

            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/cjweeks/tensorflow-cmake.git

          • CLI

            gh repo clone cjweeks/tensorflow-cmake

          • sshUrl

            git@github.com:cjweeks/tensorflow-cmake.git

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