Re: Compilation error in old Mac

https://github.com/apache/incubator-mxnet/issues/10898 On 5/10/18, 10:26 PM, "Zheng, Da" wrote: I didn't create an issue for this. I think Sheng can provide more details. Best, Da On 5/10/18, 10:10 PM, "Anirudh" wrote:

Re: Compilation error in old Mac

I didn't create an issue for this. I think Sheng can provide more details. Best, Da On 5/10/18, 10:10 PM, "Anirudh" wrote: Hi Da, Thanks for reporting this issue. Do you have a github issue open for this ? I agree that we don't need to block the release

Proposal for optimizing Gluon dynamic models for seamless deployment

Hello, Scientists like to develop models with Gluon or Pytorch and hand the models over to engineer for deployment. It takes a lot of effort to deploy these models because engineers usually need to reimplement the models (this is especially for NLP and speech models). Recently, Pytorch

Compilation error in old Mac

Hello, It has been reported that MXNet v1.2 has compilation errors in old Mac. The fix is on the way. We have been discussing that since the problem only exists on an uncommon hardware, maybe we don’t block the release of v1.2. Instead, we can have a patch release in a near future. Best, Da

Re: Parallel Inference Proposal

Good suggestion Kellen! I like the idea, it will solve an existing deficiency in MXNet, that has been worked around so far. As an example, the recently added Scala inference API (part of 1.2RC) implemented a dispatcher in Scala to workaround that limitation. Would be great to better understand

newdocs.readthedocs site

Does anyone have contact info for github.com/Awyan? It seems we have an old documentation site posted at: https://newdocs.readthedocs.io/en/latest/ and only the absent @Awyan has the permissions to the site. See https://github.com/apache/incubator-mxnet/issues/10409 for more details. If no

Parallel Inference Proposal

Hello MXNet developers, I’ve recently been speaking with users who’d like to run parallel inference requests with MXNet on their service. They’ll do this on GPUs, and due to resource constraints, they’d like to do this without duplicating their model’s weights in memory. They’d also like run

Re: New Java Inference API

Hey Andrew, thanks for the write-up. I think having a Java binding will be very useful for enterprise users. Doc looks good but two things I'm curious about: How are you planning to handle thread safe inference? It'll be great if you can hide the complexity of dealing with dispatch threading