-
Having a SparseMatrixCSC `A` as part of the primal `f` seems to currently incur a very large performance penalty, which also came up here: https://github.com/JuliaNLSolvers/NLsolve.jl/issues/205
Belo…
-
Consider a case where we have a function `f: ℝᵐ → ℂʳ → ℂˢ → ℝⁿ = ℝᵐ → ℝⁿ`, which we can write as `f = f₃ ∘ f₂ ∘ f₁`.
Typically `f₁` will produce a complex output by adding, subtracting, multiplying o…
-
## Description
I have noticed some odd behavior using `ode_adams` and `STAN_THREADS`. This does not recur when using `ode_bdf` or `ode_rk45`.
## Example
Using a simple SIR model, courtesy of …
-
`Zygote` fails to use `rrule`s defined by other packages when run with `Julia 1.10+`
I noticed this when looking at compatibility with [`TaylorDiff.jl`](https://github.com/JuliaDiff/TaylorDiff.jl).…
-
Is `Zygote.Buffer` too hefty to move to `ZygoteRules`? I work with several packages that use mutation extensively, and it would be nice to add custom rules using `Buffer` without adding `Zygote` as a …
-
We're the devs of the PyTorch-based younger brother of JuliaDiffEq, [torchdyn](https://github.com/DiffEqML/torchdyn). Since we don't have the bandwidth (nor it is our objective at the moment) to impro…
-
It appears the odl.diagnostics.OperatorTest class has a few bugs
**Examples:**
```python
>>> import odl
>>> space = odl.uniform_discr([0,0],[1,1],[5,5])
>>> geometry = odl.tomo.parallel_beam_ge…
dksim updated
6 years ago
-
MWE:
```Julia
julia> s = sparse(rand(3,3))
3×3 SparseMatrixCSC{Float64,Int64} with 9 stored entries:
[1, 1] = 0.0912152
[2, 1] = 0.825601
[3, 1] = 0.409532
[1, 2] = 0.312027
…
-
**Reverse adjoints for SDEs only works with 'TrackerAdjoint()' and only on CPU. 🐞**
Training Large (e.g, Neural) SDEs on GPUs fails. The only working solution is 'TrackerAdjoint()' and this only cu…
-
Here comes a strange one... This is the minimal working example I could find to get the erroneous result
The loss function computes the gradients of some function (think of it as a mixture of eucl. d…