@deliprao Best question I’ve seen in a long time. As Nvidia’s chief scientist Bill Dally used to ask (paraphrasing): “What problem will you have if you succeed?”
@relistan That’s really impressive. Mine is maybe 12 ft off the ground throughout. 33ft would have been ideal. Haven’t found a way to do that yet. Verticals are likely harder (radials or counterpoises in a tiny backyard). I tried one and the EFHW is still much better.
Here's a recent cool effort that's helped to reduce PyTorch's "entropy" - cleaning up convolutions :P
Over the years, PyTorch has accrued ... many convolution implementations. In theory, that's not a problem. The issue is that it's leaked out into the actual operator set. (1/3)
I’ve been using #AnnotatedEquations in my recent papers. I think it really adds to the readability and understanding of the math.
Here are some examples. It uses #tikz in #latex.
Let me know if you like it. Happy for any feedback. [GitHub link: next tweet]
#AcademicChatter
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Sorry for the shade, @NASASun, @NASAMoon & @NASAEarth! But you're just not cool enough 😎
Now fully deployed, our sunshield blocks your heat & light so that our mirrors will be able to detect faint heat signals in the universe: https://t.co/mggJkh6swO #UnfoldTheUniverse
PyTorch 1.10 is here!
Highlights include updates for:
- CUDA Graphs APIs updates
- Several frontend APIs moved to Stable
- Automatic fusion in JIT Compiler support for CPU/GPUs
- Android NNAPI now in beta
Blog: https://t.co/jMRDpA6T22
Release: https://t.co/QuaxJA2xfh
In addition to full-time engineers, my team is also looking for 2022 GPU algorithm summer interns! Please check out the opportunity! https://t.co/lRGTEM22ip