Comments (2)
devmotion
commented on June 19, 2024
My hypothesis (without checking it in detail) is that the problem is that the backend for ChainRulesCore integration (used also for Zygote in your example) uses the rrule to define the pullback function (
value_and_pullback_function (
) which is e.g. used by derivative (
) via jacobian (
).
I think one "just" has to define value_and_pullback_function in terms of only rrule for these backends. This should avoid the unnecessary call of the original function.
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devmotion
commented on June 19, 2024
Just noticed, there's already #34, #35, #36.
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Related Issues (20)
- Caching interfaces HOT 1
- Adopt ColPrac?
- Establish a benchmark for performance regressions/improvements
- value_gradient_and_hessian for ForwardDiff returns gradient of type Dual HOT 1
- Type of cotangent is sometimes not a vector in FiniteDifferences vjp tests
- Use multiple arguments instead of a tuple for pushforward and pullback function? HOT 4
- `AD.jacobian` much slower than `Zygote.jacobian`
- JET.jl reports possible errors on `AD.gradient` that do not appear with `Zygote.gradient` HOT 3
- Using AbstractDifferentiation and Zygote as package dependencies errors: `UndefVarError: ZygoteBackend not defined`
- Jacobians for functions beyond vector-to-vector?
- Whats the reason for the derivative / gradient difference?
- AD failure where Zygote succeeds HOT 3
- ForwardDiff is broken for differently sized inputs
- API for user code to detect if it's being differentiated HOT 11
- Feature request: option to turn off ForwardDiff tagging
- Zygote context cache incorrectly(?) persists between AD calls
- Missing `value_derivative_and_second_derivative`?
- Replace Requires.jl with conditional dependencies for Julia 1.9 HOT 2
- LoadError: UndefVarError: StaticArrays not defined HOT 2
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