Hi Hagay, Good point. The high level problem is:
I want to run mxnet training on GPU, and inference on CPU -- browsers / javascript in particular. On the training side, I'm dealing mostly with NDArray / doing my own gradient calculations / optimization. I would like some library for the client side, where I can just 'port over my mxnet ndarray graph' and start running inference. I hope this motivates the issue. --TongKe On Mon, Nov 6, 2017 at 10:58 AM, Lupesko, Hagay <lupe...@gmail.com> wrote: > TongKe, > > What’s the use case you are after? > Answering this question may help us help you ( > > Hagay > > On 11/2/17, 12:10, "TongKe Xue" <tk...@tkxue.org> wrote: > > Hi, > > I'm looking for a js library compatible with mxnet/ndarray. > > 1. I am aware of https://github.com/dmlc/mxnet.js/ > However: > a. that appears to be all of mxnet, not ndarray > b. that appears to only support Python models, whereas I'm using > Java/Scala > > 2. I am aware of https://github.com/scijs/ndarray > However: > this appears to be in different library, try to create a unifying API > over both > > Back to my original question -- is there some JS API that is > directly compatible with mxnet's ndarray interface? > > Thanks, > --TongKe > > >
