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Fix undefined memory in faq (#1376)
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wsmoses authored Apr 1, 2024
1 parent 6ac1212 commit edfb21f
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions docs/src/faq.md
Original file line number Diff line number Diff line change
Expand Up @@ -271,7 +271,7 @@ Enzyme.autodiff(Reverse, f, Active(1.2), Const(Vector{Float64}(undef, 1)), Const
Passing in a dupliacted (e.g. differentiable) variable for `tmp` now leads to the correct answer.

```jldoctest storage
Enzyme.autodiff(Reverse, f, Active(1.2), Duplicated(Vector{Float64}(undef, 1), Vector{Float64}(undef, 1)), Const(1), Const(5)) # Correct (returns 10.367999999999999 == 1.2^4 * 5)
Enzyme.autodiff(Reverse, f, Active(1.2), Duplicated(Vector{Float64}(undef, 1), zeros(1)), Const(1), Const(5)) # Correct (returns 10.367999999999999 == 1.2^4 * 5)
# output
Expand Down Expand Up @@ -539,4 +539,4 @@ For `d/d conj(z)`, $\frac12 \left( [u_x + i v_x] + i [u_y + i v_y] \right) = \fr
3.1 + 2.7im
```

Note: when writing rules for complex scalar functions, in reverse mode one needs to conjugate the differential return, and similarly the true result will be the conjugate of that value (in essence you can think of reverse-mode AD as working in the conjugate space).
Note: when writing rules for complex scalar functions, in reverse mode one needs to conjugate the differential return, and similarly the true result will be the conjugate of that value (in essence you can think of reverse-mode AD as working in the conjugate space).

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