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I try the following code
```
stability, skew, scale, loc = 1.9734820127487183, 0.22657334804534912, 0.009145896881818771, 0
X = dist.Stable(stability, skew, scale, loc).sample(sample_shape=[2000…
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Would it be possible to include robustness against process variations in the optimization?
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I had `accumulate_grad_batches` more than `1` and also a customized `optimizer_step`, which works well in 1.0.8.
In the latest release, I got an error raised in:
https://github.com/PyTorchLightn…
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Issue created by migration from Trac.
Original creator: kamilova
Original creation time: 2017-09-14 12:38:37
Assignee: ipopt-team
Version: 3.12
I am using Ipopt for my NLP, with the BFGS Hessian …
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The Bevy Renderer Rework is starting to stabilize and it is time to start planning how to upstream it! The intent of this issue is to track the work required to merge the renderer rework as soon as po…
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I've implemented a fairly direct port/optimization using Numba for python. This runs ~10x faster for single point noise calculations, and 50-100x faster for calculating noise arrays. Obviously, this r…
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First of all thanks a lot for your amazing [autodiff](https://sidsite.com/posts/autodiff/) post.
For Nth order derivatives you wrote `2.To change local_gradients to contain functions, instead of lo…
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Since upgrading to the latest version optuna, an optimisation which used to work now doesn't even though it is the same dataset.
I get the same error on a different dataset and have included the code…
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**Is your feature request related to a problem? Please describe.**
I want to optimize a function using SciPy. This function however does only evaluate with a coarse input parameter resolution.
**D…
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## 🐛 Bug
I am using a GAN like system that is using manual backward to do the backward calculation the losses for the discriminator and generator separately. I've noticed that it is considerably s…