WebGL implementation of calculationsSee original GitHub issue
(this is a continuation of the discussion started in #11, so it can be ‘closed’ cleanly)
… jpcnn, which in turn relies on underscore …
Hmm - that is a lot of machinery to include 100-200 lines of WebGL. The least-intrusive method for including the end result (i.e. what the client sees) would be to have a separate
convnet.webgl.min.js which, if it’s there, sets up a webgl flag for the regular
convnet.min.js to call into - or even overwrite the re-implemented methods themselves.
On the source side, however, I’ve got to think there’s a more direct way of making the BLAS.js code ready-to-use. I also think it makes sense to go the BLAS-compatible route, since it’s a standard, and one avoids having to continuously re-invent the wheel… I’ll have a poke around for a cleaner set of includes.
All the Best Martin 😃
- Created 9 years ago
- Comments:17 (2 by maintainers)
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Hey everyone. I’m about to resume development on my convolutional neural net library powered by weblas (an in browser computation library powered by the GPU). Weblas was about five to ten times faster than gpu.js on the relevant functions last time I checked.
Library is here: https://github.com/waylonflinn/webnn
hi guys, i am really interested in this. what is the current state?