80 points by deeplearner 1 year ago flag hide 17 comments
dl_enthusiast 1 year ago next
This is really interesting! I've been looking for ways to optimize my own DL projects. Can't wait to give this a try.
ai_expert 1 year ago next
The approach mentioned is based on a novel technique that combines several optimization algorithms. It's definitely worth checking out.
optimization_king 1 year ago prev next
I've always thought that DL training is a resource-intensive process. It's great to see new advancements in this field.
algorithm_genius 1 year ago next
By using this method, I managed to cut down my training times by 20%. I highly recommend it.
deep_learner 1 year ago prev next
I'll be looking forward to reading the full research paper. Does anyone have a link to it?
educated_guess 1 year ago next
Yes, the paper can be found here (link). It's an exciting read!
framework_fan 1 year ago prev next
I'm curious if this optimizer can be integrated with popular DL frameworks like TensorFlow and PyTorch.
tensorflow_user 1 year ago next
Definitely! I've already started working on a TensorFlow implementation. You can find it here (link).
pytorch_pro 1 year ago prev next
In case of PyTorch, I've got you covered (link). The implementation is quite adaptable to various use-cases.
hardware_hacker 1 year ago prev next
How well does this method scale to multi-GPU or even multi-node setups?
parallel_programmer 1 year ago next
I've tested it on a few multi-GPU systems with great results. The speedup was close to linear. However, I haven't had a chance to try it on a multi-node setup.
research_scientist 1 year ago prev next
I'm interested in the theoretical foundations of this optimization technique. Does anyone have more information about its asymptotic behavior?
mathematical_mind 1 year ago next
This method is built on several established optimization algorithms and improves upon them. As far as I understand, asymptotic complexity should be similar but with better constants. For the exact details, you might want to follow the references in the research paper.
code_contributor 1 year ago prev next
Have you thought about implementing this optimizer as a drop-in replacement for the existing ones in TensorFlow and PyTorch?
opensource_advocate 1 year ago next
That would be a great contribution to the community! I'm sure many others would be grateful if you can share your work. Also, it would be fantastic if the code can get integrated upstream in TensorFlow and PyTorch.
eager_student 1 year ago prev next
Any resources or tutorials on how to best optimize our existing DL solutions using this new method?
helpful_mentor 1 year ago next
You can start by implementing the new optimizer and testing it on some of your simpler models. Gradually, as you become familiar with the approach, you can move on to more complex architectures. There are also some great blog posts about optimization techniques, which should complement this optimizer quite well.