From 63e10f6074bd793f4d5321d45bc08125a484b911 Mon Sep 17 00:00:00 2001
From: Michael Abbott <32575566+mcabbott@users.noreply.github.com>
Date: Sat, 2 Mar 2024 15:09:31 -0500
Subject: [PATCH] rm note

---
 docs/src/models/advanced.md | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/docs/src/models/advanced.md b/docs/src/models/advanced.md
index 531d176cb5..ab045d96be 100644
--- a/docs/src/models/advanced.md
+++ b/docs/src/models/advanced.md
@@ -73,14 +73,7 @@ The exact same method of `trainable` can also be defined using the macro, for co
 Flux.@layer Affine trainable=(W,)
 ```
 
-There is a second, more severe, kind of restriction possible:
-
-```
-Flux.@layer Affine children=(W,)
-```
-
-This is equivalent to `Functors.@functor Affine (W,)`. It means that all no exploration of the model will ever visit the other fields: They will not be moved to the GPU by [`gpu`](@ref), and their precision will not be changed by `f32`. This is not usually recommended.
- This is generally not recommended. It requires the `struct` to have a corresponding constructor that accepts only `W` as an argument.
+There is a second, more severe, kind of restriction possible. This is not recommended, but is included here for completeness. Calling `Functors.@functor Affine (W,)` means that all no exploration of the model will ever visit the other fields: They will not be moved to the GPU by [`gpu`](@ref), and their precision will not be changed by `f32`. This requires the `struct` to have a corresponding constructor that accepts only `W` as an argument.
 
 
 ## Freezing Layer Parameters