StackOverflow Questions for Tag: autodiff

L. Mann

Reputation: 143

Is there a way to use Enzyme.jl to auto-differentiate a matrix inverse?

julialinear-algebraautodiff

Score: 0

Answers: 0

Dipin Adhikari

Reputation: 1

Memory deallocation issue with parent nodes in C++ reverse-mode autodiff

c++pointersnodesshared-ptrautodiff

Score: 0

Answers: 0

gianpippo_sghiripolli

Reputation: 1

Use tf.autodiff.ForwardAccumulator inside a function decorated with tf.function (RNN)

pythontensorflowrecurrent-neural-networkautodiff

Score: 0

Answers: 0

HaineBaie

Reputation: 1

How to compute Higher-Order Gradients Across Two Networks in PyTorch? (ML, Autograd)

pytorchgradientautogradautomatic-differentiationautodiff

Score: 0

Answers: 0

C.M.O.B.

Reputation: 13

How does PyTorch remember overwritten tensors?

pytorchautodiff

Score: -1

Answers: 1

Alexander Janssen

Reputation: 21

What does output_gradient do in GradientTape().gradient?

pythontensorflowgradienttapeautodiff

Score: 2

Answers: 0

Arek

Reputation: 11

std::min, std::max and autoDiff

c++autodiff

Score: 1

Answers: 1

Josiah Yoder

Reputation: 3766

Why do we call .detach() before calling .numpy() on a Pytorch Tensor?

numpypytorchautodiff

Score: 74

Answers: 3

Siegg

Reputation: 119

What would be a proper way of implementing this riemann gradient?

pythonoptimizationpytorchautodiff

Score: 0

Answers: 1

James Li

Reputation: 11

Calculating the Jacobian of a JAX Convolution

pythonmathjaxautodiff

Score: 1

Answers: 1

El_Loco

Reputation: 1866

Ceres optimisation with Rodrigues Rotation Formula

ceres-solverautodiff

Score: 2

Answers: 0

jasmine

Reputation: 231

autodiff for max()

pythonjaxhessian-matrixautodiff

Score: 0

Answers: 1

Jingyang Wang

Reputation: 323

Custom JVP and VJP for higher order functions in JAX

pythonfunctionhigher-order-functionsjaxautodiff

Score: 1

Answers: 1

xperroni

Reputation: 2804

boost autodiff: derivative functions on two or more variables?

c++boostautodiff

Score: 0

Answers: 0

Ben K

Reputation: 11

Numerical instability in computing gradient using Jax with nested fixed point

pythonscipyjaxautodiff

Score: 1

Answers: 0

Pablo

Reputation: 123

How to wrap a numpy function to make it work with jax.numpy?

pythonnumpyjaxautodiff

Score: 1

Answers: 2

Amin Rezaei

Reputation: 376

Computing Gradients of Weighted State Averages in PyTorch Models

deep-learningpytorchautogradautomatic-differentiationautodiff

Score: 2

Answers: 0

zlqs1985

Reputation: 529

Julia ForwardDiff no method matching error

juliaautodiff

Score: 0

Answers: 1

Ian Holmes

Reputation: 95

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

pythonnumpyjaxautomatic-differentiationautodiff

Score: 2

Answers: 1

Jim Raynor

Reputation: 143

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

juliaderivativejaxautomatic-differentiationautodiff

Score: 1

Answers: 1

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