metal3d edited a comment on issue #621: Support for other Device Types, OpenCL AMD GPU URL: https://github.com/apache/incubator-mxnet/issues/621#issuecomment-582120393 At first, thanks for your answer. > I don't see any blocker to add the feature you're requesting, just there's noone willing to work on it. That's the problem we point. The problem that I see (and other than me can see also) is that it seems that major frameworks are trying to make things "faster and easier" before to make the framework more largely usable. That's all we say... That's cool that CUDA is supported and that AWS or Google proposes GPU on demand. But in reality, OpenCL can help to make ML more accessible for modest hardware owners. And it's now 4 or 5 years that the problem persists. I wish you understand the frustration. More than that, this give a large monopoly to NVidia that no one seems to want to stop... As explained in https://towardsdatascience.com/on-the-state-of-deep-learning-outside-of-cudas-walled-garden-d88c8bbb4342 article: > Open source code that targets only a proprietary target is not exactly open open source. We can do better! And I agree with that. You said: >Thus my comment is serious. Excuse me, it could be a translation problem (I'm not English, excuse my bad English BTW), but in French it sounds like "do it yourself". That probably why I answered a bit aggressively. TVM, no, sorry I didn't know that project and I will take a look. I'm not sure it will resolve the issue, but reading the page you pointed seems to be interesting. Thanks for that. I hope that you don't take my comment too severely.
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