Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix @ Functors 404's #1749

Merged
merged 1 commit into from
Oct 17, 2021
Merged

Fix @ Functors 404's #1749

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/src/models/advanced.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ Join(combine, paths...) = Join(combine, paths)
```
Notice that we parameterized the type of the `paths` field. This is necessary for fast Julia code; in general, `T` might be a `Tuple` or `Vector`, but we don't need to pay attention to what it specifically is. The same goes for the `combine` field.

The next step is to use [`Flux.@functor`](@ref) to make our struct behave like a Flux layer. This is important so that calling `params` on a `Join` returns the underlying weight arrays on each path.
The next step is to use [`Functors.@functor`](@ref) to make our struct behave like a Flux layer. This is important so that calling `params` on a `Join` returns the underlying weight arrays on each path.
```julia
Flux.@functor Join
```
Expand Down Expand Up @@ -151,7 +151,7 @@ model(xs)

Our custom `Split` layer will accept a single input, then pass the input through a separate path to produce multiple outputs.

We start by following the same steps as the `Join` layer: define a struct, use [`Flux.@functor`](@ref), and define the forward pass.
We start by following the same steps as the `Join` layer: define a struct, use [`Functors.@functor`](@ref), and define the forward pass.
```julia
using Flux
using CUDA
Expand Down