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> ### Recommendation:
>
> We advise the statements within the `for` loop limits to be relocated outside to a local variable declaration that is consequently utilized for the evaluations to signific…
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Dear csnumrics maintainers,
This is Dr. Zaikun Zhang from the Hong Kong Polytechnic University. Together with Professor [N.I.M. Gould](https://www.numerical.rl.ac.uk/people/nimg/), I am responsible…
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Currently, the derivative function in CAMP-MONARCH is taking ~50% of the execution time.
An optimization has been proposed time ago to improve vectorization and memory access (#116) based on swap R…
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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: 2.0.1
- Python version: 3.10.10
- Operating System: macOS-13.3.1 M1 Pro
- Torch.backends.mps.is_available(): True
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### Expected behavio…
erl61 updated
3 months ago
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In cases where the cost of n parallelized f()'s is lower than that of n sequential f()'s, the acquisition function u() can return q>1 points and the next evaluation of f()'s can take place at q points…
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```
Quoting from my forum posting:
http://ai-contest.com/forum/viewtopic.php?f=18&t=700&start=0
It's also worth noting that -funroll-loops is an undesirable optimization for
two reasons:
* GCC has…
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Hello. I am suggesting that we could split hidden variable **root** based on element type like:
**root.players, root.vehicles, root.markers, root.peds**, etc. This would work on all element types.
…
v3lik updated
5 years ago
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I am trying to finetune AF-multimer and I start with a mock dataset of just 3 proteins. I get the following error:
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0…
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Hi,
Thanks for open-sourcing this work. When I was trying to train the teacher network of LiDAR and fusion I wasn't able to start it with multiple GPU. Single-GPU training works. Multi-GPU training…
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On line 35 of the for-loop pattern the following comment appears.
`// optimization 3 - substitute `i++` with `i = i + 1` or `i += 1` to avoid excessive trickiness`
Could you elaborate on "excessive…