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The following example doesn't work on latest Enzyme release and Julia 1.10.
```julia
using LinearAlgebra
import Enzyme
f(x) = logdet([exp(x[1]);;])
f(rand(1))
Enzyme.gradient(Enzyme.Forward, f…
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Hallo Fabian,
ich habe jetzt mehrere AutoDiff Libraries auf Performance getestet und raus kam das Deine und FastAD für meine Belange am schnellsten sind. Wirklich gute Arbeit.
Ich denke das der …
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First, thank you for creating and releasing this invaluable resource.
# What I am trying to do
I would like to combine `kfax-jax` with [fused attention from `pallas`](https://github.com/google/…
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A typical optimization process is evaluating usually the same derivatives at different points. Right now, the derivative is calculated from scratch each time (40sec in my case, where it should be less…
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Click to expand!
### Issue Type
Bug
### Source
binary
### Tensorflow Version
tf 2.9
### Custom Code
Yes
### OS Platform and Distribution
Linux Ubuntu 20.04
### Mobile device
_No respons…
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## Description
The ODE functors aren't compatible with `fvar` inputs and fail to compile
#### Current Version:
v4.4.0
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rlouf updated
1 month ago
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Click to expand!
### Issue Type
Bug
### Source
binary
### Tensorflow Version
tf 2.9.1
### Custom Code
Yes
### OS Platform and Distribution
Linux Ubuntu 20.04
### Mobile device
_No respo…
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Click to expand!
### Issue Type
Others
### Source
binary
### Tensorflow Version
2.9.1
### Custom Code
No
### OS Platform and Distribution
Linux
### Mobile device
_No response_
### Pyth…
nkoep updated
2 years ago
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Hi,
I have an optimization problem where my cost function _f_ depends on _n_ (usually >100) input variables (vector **FA**) and also a handful of vector parameters with the same size:
~~~c++
va…