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### Motivation
Would anyone find an automatic differentiation module interesting? I'm not an expert in it, but I did once create a simple fortran module that worked by overloading the various arihtme…
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An effort to create a very simple Decapode, to help simplify diagnosing autodiff through decapode issues.
This is a 1-D harmonic oscillator Decapode:
```
using Catlab
using Catlab.Graphics
using…
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Drawing samples from an instance of `tfp.distributions.Distribution` in a `persistent=True` GradientTape context seems to hang:
```python
import tensorflow as tf
import tensorflow_probability as tf…
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I am able to go up to second order derivatives with Enzyme. However, when I use the same approach to go for the third derivative, I get an error. Here is a minimal working example to show that. The la…
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Running this on a machine with >=2 devices:
```python
import jax.numpy as jnp
from jax import vmap, pmap, grad, lax
def loss(w, d):
return w * d
def local(w, data):
def local_loss(w):…
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Hi,
Thanks for the repo! This is really a nice work.
I am planning to calculate the KFAC with backpack. But it raises the following error:
```
NotImplementedError: Extension saving to kfac doe…
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So I have encountered a bug when doing coronagraphic psf calculations with @itroitskaya using the nircam class.
The error is thrown for all pupil and image mask combinations when `save_intermediat…
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### Bug summary
I modified the 'deepmd/train/trainer.py' file, and added some codes for gradient:
print('开始获取梯度信息')
# 计算损失函数相对于输入坐标的梯度
coord_p…
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Luckily, adjoint methods for (most) eigenvalue problems tend to be rather trivial _if you are optimizing the eigenvalue directly_. So, for example, if you want to match the effective index of two mode…
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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…