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@benjaminhuth made this whole thing work with autodiff. It would be cool if we added some CI tests that built against it. It shouldn't be a strict dependency though, so we'd have to have a flag to avo…
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When I read the taichi doc, taichi support autodiff funcation by kernel_func.grad. So is it possible to directly use kernel_func.grad in the backward function during taichi-3dgs?
zjcs updated
4 months ago
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* Implement forward-mode AD for temporal connections; reverse-mode AD for layer connections
* Update at each time step
* Approximate BPTT without having to store any historical gradients
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The `Variable` struct has a reference to the `Graph` struct. This is causing a lot of issues, namely it prevents:
- Adding support for `ndarray` and `nalgebra`.
- Python bindings since `#[pyclass]…
avhz updated
7 months ago
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Following code stop with
> AttributeError: 'builtin_function_or_method' object has no attribute '__code__'. Did you mean: '__call__'?
```clojure
(ns pytorchlightning.core
(:gen-class)
(:…
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I tried to combine ast2ast (https://github.com/Konrad1991/ast2ast) and autodiff and could implement a first working example.
What is your approach? Do you want to use autodiff for R functions?
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Hi,
I am getting the following error when compiling with cmake. Any idea about how to fix the issue? Thanks.
hanxiang@hanxiang-OMEN-30L-Desktop-GT13-1xxx:~/autodiff/.build$ cmake --build . --ta…
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Hi Jax team,
We want to calculate hessians of a likelihood function involving an ode integration so that we can do variational inference. We are running into an issue with `custom_vjp`, which we do…
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Is chumpy using Forward mode or Reverse mode automatic differentiation? A quick browse seems like forward mode...
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Hello! I took an example of jacobian from main page (h). If i make the first parameter array, clad crashes :(
Input:
```cpp
//void h(float a, float b, float output[]) {
// output[0] = a * a…