blpa | Backprop with Low-Precision Activations

 by   ayanc Python Version: Current License: No License

kandi X-RAY | blpa Summary

kandi X-RAY | blpa Summary

blpa is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. blpa has no bugs, it has no vulnerabilities and it has low support. However blpa build file is not available. You can download it from GitHub.

Backprop with Low-Precision Activations
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            kandi-support Support

              blpa has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of blpa is current.

            kandi-Quality Quality

              blpa has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              blpa does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              blpa releases are not available. You will need to build from source code and install.
              blpa has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed blpa and discovered the below as its top functions. This is intended to give you an instant insight into blpa implemented functionality, and help decide if they suit your requirements.
            • Forward forward computation
            • Split a list into ndarray
            • Compute the loss function
            • Runs the prediction
            • Returns the loss function for each label
            • Generate a GP model
            • Create a tensor
            • Computes tensorflow tensor product
            • Calculate the LR rate for a given point
            • Backward backward
            • Pretty print a string
            Get all kandi verified functions for this library.

            blpa Key Features

            No Key Features are available at this moment for blpa.

            blpa Examples and Code Snippets

            No Code Snippets are available at this moment for blpa.

            Community Discussions

            No Community Discussions are available at this moment for blpa.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install blpa

            The library is implemented over Tensorflow, and you will need Tensorflow installed before using the library. You will also need to compile the quantization ops in blpa/ops/. Specifically, you need to compile quant.cc. and quant.cc.cu into a loadable library. A sample compilation script is provided as make.sh, which might work for you out of the box. If it doesn't, please look at the instructions at https://www.tensorflow.org/guide/extend/op. Also note that the python code assumes that your library will be compiled as quant.so, which is the case on Linux systems. On other systems, the loadable library may have a different extension. If that is the case, please modify the sopath definition at the top of blpa/quant.py accordingly.

            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/ayanc/blpa.git

          • CLI

            gh repo clone ayanc/blpa

          • sshUrl

            git@github.com:ayanc/blpa.git

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