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Hi,
I am trying to integrate a vector field with jumps in the derivative and experience a high integration error when the derivative jumps. As a solution attempt, I would like to split the integrat…
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If I compile models using cmdstan, it seems to consistently finish about twice as fast as if I compile a model with bridgestan:
```stan
// justatest.stan
parameters {
real x;
}
model {
…
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The following code worked with Enzyme 0.11.20 (julia 1.10.2) but fails on Enzyme 0.12.9.
Apologies for the not so minimal MWE.
Setup
```julia
using Pkg
Pkg.activate(temp = true)
Pkg.add(…
jbrea updated
1 month ago
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In the spirit of creating lightweight interface-defining packages (see TuringLang/Bijectors.jl#199 which resulted in [InverseFunctions.jl](https://github.com/JuliaMath/InverseFunctions.jl) and [Change…
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I have been trying to write a custom rule in the context of higher order differentiation. However, I simply cannot get it to work.
Happy to try to track this issue down further, but I don't know whe…
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This issue is to provide a minimal example of neural network training with Lux to hopefully make it easier for developers to work toward making it viable. It probably isn't news to anyone here that t…
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**Describe the bug 🐞**
The new NonlinearSolve v3.15 (with DI in it) causes a BoundaryValueDiffEq solve to error or segfault.
**Expected behavior**
The solve should run without errors, as it …
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**Describe the bug**
I want to mine using Kawpow algorithm on my GPU. I have also noted that Kawpow does not run on CPU and I am fine with it. I have modified the config.json file where I have change…
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Hi, thanks for the quick patches! Looking at the errors, it seems we're not quite there yet, and reproducing the errors in a MWE is getting harder. But without further due, here's a new issue:
```j…
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In this example, if the callable is mutated during its evaluation, then an error is raised during reverse-mode AD:
```julia
using Enzyme
struct MutatedCallable{T}
x::T
end
function (c::M…