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This package https://github.com/oxinabox/AutoPreallocation.jl provides a way to pre-allocate all the memory needed in a function automatically. Might be worth supporting this as an optimization in the…
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Hello,
I've tried using CounterFactualProto to produce counterfactual explanations.
A little background on our data and model: I have a dataset for a classification task where all features have a bi…
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## Description of bug / unexpected behavior
trying to set up logging in a config file fails
## Expected behavior
logs written to a file
## How to reproduce the issue
Code for reproduci…
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# Problem
Currently the optimisation can only adjust detector elements if a muon passes through them (and three other detector layers), however elements on the edges rarely have muons pass through …
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## 🚀 Feature
A module ```nn.Orthogonal``` similar to ```nn.Linear``` where the weight matrix is constrained to be orthogonal, i.e., .
## Motivation
There has been a growing interest in ort…
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I have been trying to work with adjoint using Adflow to calculate surface sensitivities.
The direct simulations worked fine for all mesh refinements (coarse, medium, fine, etc.). However, when co…
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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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Hey,
This is really a great library and it is very well documented, so thank you!
I am using PCE to calculate the mean and std of a function within a gradient based optimisation program. I am al…
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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…