-
Would it please be possible to add an example of neural network as the simulator?
Also, how can we make a nice Gif?
-
I played with Enzyme a little bit, and I suspect it's not ready for use with our package. It can't differentiate simple ODEs at present. There's a fair amount of linear algebra in OrdinaryDiffEq, so i…
-
I don't know whether it's premature to do so, but since we're thinking about how Flux interacts with AD, I tried out a few very simple cases. Exactly the same cases as in https://github.com/EnzymeAD/E…
-
Hi there! I'm trying to optimize `DifferentiationInterface.gradient` by using `autodiff` everywhere, as discussed with @wsmoses in https://github.com/TuringLang/AdvancedVI.jl/pull/98#issuecomment-2382…
-
Right now we have `grad`, `L_op`, `R_op`.
## Deprecate `grad` in favor of `L_op`:
`grad` is exactly the same as `L_op` except it doesn't have access to the outputs of the node that is being diff…
-
I was chatting with @adrhill and he suggested that the macro `@primitive` could be discarded if each backend simply implemented some methods from AbstractDifferentiation, mostly `jacobian` and a `push…
-
Trying to compute gradients of the `rand` function wrt to parameters for certain distributions will produce incorrect results, because some of these functions use branching or iterated algorithms and …
-
```julia
A = [1.0 1.0; 1.0 1.0]
det(A) * inv(A)
# ERROR: SingularException(2)
```
to be fair, the LU approach is remarkably resiliant...
```julia
A = [1.0 1.0; 1.0 1.0-1e-16]
det(A) * inv(A)…
-
```python
from jax import hessian
from jax.random import PRNGKey, gamma
key = PRNGKey(1)
hessian_sample = hessian(gamma, argnums=(1,))
# NotImplementedError: Differentiation rule for 'random_ga…
-
**Describe the bug**
I execute the command:
`"C:\Users\David Owens\AppData\Local\Programs\Python\Python37\python.exe" meson.py build`
And get the error:
```
git command not found. Using f…