Giter Site home page Giter Site logo

visionscaper / stateful_multi_gpu Goto Github PK

View Code? Open in Web Editor NEW
4.0 4.0 1.0 6 KB

Experimental utility to build stateful RNN models for multi GPU training.

License: MIT License

Python 100.00%
keras keras-tensorflow rnn lstm gru multi-gpu keras-models

stateful_multi_gpu's People

Contributors

visionscaper avatar

Stargazers

 avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

stateful_multi_gpu's Issues

evaluate_on_batch fails

Hi, have you tried model.evaluate_on_batch? I keep getting this error:

InvalidArgumentError (see above for traceback): You must feed a value for 
placeholder tensor 'single_input' with dtype int32 and shape [<sub_batch_size>,?]

where single_input is the input created with batch_size = sub_batch_size.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.