Comments (5)
It works if I do
@eval ReverseDiff using ControlSystems
which I guess is an indication that the macro is missing some esc
from chainrulescore.jl.
Can you open an issue in ReverseDiff? (In general, I'm not surprised, I think I came across some issues with the macros in ReverseDiff a while ago but didn't have time to fix it and could work around it.)
from chainrulescore.jl.
Maybe the documentation issue is an issue of ReverseDiff (as well)? I.e., maybe the issue should be moved to ReverseDiff?
from chainrulescore.jl.
It should have a brief mention in the CRC docs,
(Since we have now done https://github.com/JuliaDiff/ChainRulesCore.jl/pull/514/files)
but most of the docs on it should be in ReverseDiff.jl
from chainrulescore.jl.
A docstring exists but is not included in the documentation: JuliaDiff/ReverseDiff.jl#196
from chainrulescore.jl.
Related Issues (20)
- ProjectTo(::Vector{Vector{Float64}}) type unstable HOT 2
- `Reusable` and `NonReusable` reverse mode capability
- `test_rrule` fails on the pedagogical example HOT 2
- Precompiling ChainRules stack not defined HOT 3
- Warnings about unused type variable HOT 3
- Document how to define own ProjectTo's
- Document how to construct Wirtinger derivative
- Making `getproperty`, `getindex` and `iterate` more type stable for `Tangent`s HOT 1
- Make ZeroTangent() == 0 HOT 3
- Using the gradient function from Flux / Zygote with a custom rrule HOT 5
- Cannot generate `frule` seed via `one(x)` HOT 1
- overload iszero for Tangent
- `ProjectTo(::AbstractSparseMatrix{Bool})` should be trivial
- No method matching `(::ChainRulesCore.ProjectTo)(::Tuple{Float64})` HOT 9
- ProjectTo causes scalar indexing when taking adjoints of complex CuArray HOT 1
- FAQ Broken Links HOT 3
- (to be deleted)
- Get rid of `MethodError: no method matching iterate(::Nothing)` HOT 1
- tangent_type(primal_type)
- typos in geometric descriptions in the docs HOT 3
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from chainrulescore.jl.