Comments (1)
the correct thing to do with thunks is unthunk
them before using them.
The correct thing to do with NoTangent
is generally to handle is specifically, or failing that to pull information from the primal. Though for NoTangent
more the former, for ZeroTangent
more the later (see how Diffractor turns ZeroTangent
into zero_tangent
.
from abstractdifferentiation.jl.
Related Issues (20)
- Define a function for v' J v
- Expose tests through public API in src HOT 2
- Add docs for how to implement API as an AD HOT 2
- API Docs for end-users HOT 5
- `pushforward_function` and `pullback_function` are confused by tuples vs single input
- Only support tuples and not single inputs/outputs HOT 7
- Use DocStringExtensions.jl
- Fix type instabilities HOT 7
- Add JET tests for linting and type instabilities
- AbstractDifferentiation stable docs 404 HOT 1
- Lazy jacobians could implement more of the LinearAlgebra interface
- New version timeline HOT 11
- Inconsistency in value_and_pushforward_function vs value_and_pullback_function outputs HOT 6
- Regression in type inferrability HOT 5
- Get rid of ugly macro? HOT 6
- `value_and_pullback_function` doesn't do what its docstring says HOT 3
- Configurable ForwardDiff tag
- Maybe AbstractDifferentiation should shrink to a collection of names? HOT 1
- Comparison with DifferentiationInterface.jl HOT 2
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from abstractdifferentiation.jl.