JuliaDecisionFocusedLearning/ImplicitDifferentiation.jl

Issues

• Prevent multiple calls to `forward` when using `ForwardDiff.jacobian`

  #131 opened 2 months ago
  7

• Use `block_gmres` for batched linear solves

  #129 opened 6 months ago
  4

• sparsity gets lost: sparse array input -> dense array output

  #118 opened 2 months ago
  2

• reexport AD.ForwardDiffBackend()

  #116 opened 3 months ago
  4

• ChainRulesTestUtils fails with integer byproduct

  #112 opened 10 months ago
  2

• Add testing for `size(x) != size(y)`

  #108 opened 10 months ago
  0

• Nondifferentiated positional args beyond x?

  #101 opened 10 months ago
  5

• Remove type piracy

  #98 opened 10 months ago
  1

• Exception handling for solver failure

  #92 opened 10 months ago
  8

• Wrong number of pullbacks

  #90 opened 10 months ago
  0

• Some conditions backends are failing

  #88 opened 2 months ago
  2

• Speed up ForwardDiffExt with batched solve

  #84 opened 2 months ago
  7

• Avoid linear operators in the DirectLinearSolver case

  #82 opened 2 months ago
  2

• return Bool indicating linear solver success instead of throwing errors

  #79 opened 10 months ago
  0

• Add precompilation workflow

  #78 opened 10 months ago
  0

• Support second order

  #77 opened 10 months ago
  0

• Support ReverseDiff by default instead of opt in

  #75 opened 10 months ago
  1

• Add forward chain rules to support Diffractor

  #74 opened 2 months ago
  2

• Fix type stability tests in forward mode

  #73 opened 10 months ago
  2

• Fix type stability tests in reverse mode

  #72 opened 10 months ago
  3

• Behavior when the linear solver fails

  #71 opened 10 months ago
  18

• byproduct not returned

  #70 opened 10 months ago
  4

• Reverse mode AD with forward mode backend for conditions (and vice versa)

  #69 opened 10 months ago
  27

• Assert that the output from the forward function is a tuple of byproducts are allowed

  #68 opened 10 months ago
  1

• Document custom rrule trick for ComponentArray constructor

  #67 opened 10 months ago
  7

• Documentation inconsistency for v0.4.4

  #66 opened a year ago
  5

• Add Aqua and JET badges to README

  #65 opened 3 months ago
  0

• Package benchmarks

  #63 opened 10 months ago
  1

• Add example use of byproduct

  #62 opened 10 months ago
  1

• Jacobian byproduct assumed to be constant in x - incompatible with higher order AD

  #60 opened a year ago
  3

• Direct linear solver not efficiently handled

  #59 opened 10 months ago
  8

• Test static arrays and use direct linear solver

  #58 opened 10 months ago
  1

• Return the output only and not the byproduct

  #55 opened a year ago
  7

• make additional information z optional

  #54 opened a year ago
  2

• Fully mutating linear solver

  #48 opened a year ago
  4

• ReverseDiff support in an extension

  #46 opened a year ago
  7

• Seems CI on 1.6 fails because of this line

  #44 opened a year ago
  1

• Complex-valued arguments

  #43 opened a year ago
  2

• Add `JET.test_package` to test suite

  #37 opened a year ago
  1

• Type instabilities?

  #36 opened a year ago
  11

• Compatibility with Enzyme

  #35 opened a year ago
  1

• Support several inputs instead of just `x`

  #33 opened a year ago
  3

• Issue with second derivative

  #26 opened 3 months ago
  23

• Fix kwargs support

  #24 opened a year ago
  1

• How to do implicit differentiation for neural network parameters?

  #23 opened a year ago
  4

• Typo in docs. `min` should be `argmin`

  #22 opened a year ago
  1

• Support for sparse arrays

  #21 opened 2 months ago
  22

• QR decomposition

  #20 opened 2 years ago
  3

• Compatibility with scalar functions

  #18 opened 3 months ago
  10

• Basic question on square root example

  #17 opened 2 years ago
  7