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Thanks you for sharing this library.
In some case using forward automatic differentiation can be useful, for example when solving non-linear least square problems, where having the jacobian matrix o…
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Just to reassure that this package is not currently support AD, right?
Is someone working on making it support AD or not?
Otherwise, I will start working on AD support on this package.
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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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Avec une copule de Student :
- L'estimation avec gradient ne converge pas, l'algorithme passe toujours par une optimisation sans gradient.
- La fonction `hessian()` renvoie une erreur.
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I have attempted to run a test based on the test_variable_backpropagation to verify if the gradient becomes complex when the tf.variable is of type complex128, as indicated by the comment on line 897.…
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Flux provides a nice AD interface plus SDG optimisers, and this interface is being actively developed.
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This may be of interest.
> Does the use of auto-differentiation yield reasonable updates to deep neural networks that represent neural ODEs? Through mathematical analysis and numerical evidence, we…
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I propose integrating the GPU version of [Trixi.jl](https://github.com/trixi-framework/Trixi.jl) with [Enzyme.jl](https://enzyme.mit.edu) for differentiable programming.
**Benefits:**
- **Diffe…
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Found using functorch.hessian and in a model with a torch.nn.Softplus() nonlinearity. Error message:
```
NotImplementedError: Trying to use forward AD with softplus_backward that does not support it…
lrast updated
2 years ago
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When `Cascadia Code Nerd Font` comes out (see https://www.github.com/microsoft/cascadia-code/pull/720) we should consider if this project is still needed or not.
For me, personally, I still use Del…