blpa | Backprop with Low-Precision Activations
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
Backprop with Low-Precision Activations
Support
Quality
Security
License
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Support
blpa has a low active ecosystem.
It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.
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.
Quality
blpa has no bugs reported.
Security
blpa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
blpa does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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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