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Calculating the Jacobian of a JAX Convolution

score 40 · Answer 1 · 2024-03-16T16:14:11.887000

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TechQA.

List Question

Calculating the Jacobian of a JAX Convolution

Ceres optimisation with Rodrigues Rotation Formula

autodiff for max()

Custom JVP and VJP for higher order functions in JAX

How can I use torch's `VHP` routine inside of the `step` method when defining a custom optimizer?

Applying an input-dependent transformation to the gradients during the backward pass (pytorch)

Eigen Tensor contraction with Autodiff causes Segmentation Error

boost autodiff: derivative functions on two or more variables?

Numerical instability in computing gradient using Jax with nested fixed point

Pytorch Calculate Gradient After Slicing

Julia ForwardDiff no method matching error

How can I implement a vmappable sum over a dynamic range in Jax?

Computing Gradients of Weighted State Averages in PyTorch Models

Confused about evaluating vector-Jacobian-product with non-identity vectors (JAX)

How to implement graph data structure consisting of ndarray arrays?

How to use and interpret JAX Vector-Jacobian Product (VJP) for this example?

How to install the "FastAD" C++ library in Rcpp?

Autodiff implementation for gradient calculation

Vectorize jax.lax.cond with vmap

Tensorflow - constructing a tensor from particular values extracted from two different tensors

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