Adjust docs & Flux.@functor for Functors.jl v0.5, plus misc. depwarns

src/deprecations.jl

@@ -83,16 +83,48 @@ function params!(p::Zygote.Params, x, seen = IdSet())
   end
 end
 
+"""
+    params(model)
+
+Returns a `Zygote.Params` object containing all parameter arrays from the model.
+This is deprecated!
+
+This function was the cornerstone of how Flux used Zygote's implicit mode gradients,
+but since Flux 0.13 we use explicit mode `gradient(m -> loss(m, x, y), model)` instead.
+
+To collect all the parameter arrays for other purposes, use `Flux.trainables(model)`.
+"""
 function params(m...)
-  Base.depwarn("""
-  Flux.params(m...) is deprecated. Use `Flux.trainable(model)` for parameters' collection
-  and the explicit `gradient(m -> loss(m, x, y), model)` for gradient computation.
-  """, :params)
+  @warn """`Flux.params(m...)` is deprecated. Use `Flux.trainable(model)` for parameter collection,
+  and the explicit `gradient(m -> loss(m, x, y), model)` for gradient computation.""" maxlog=1
   ps = Params()
   params!(ps, m)
   return ps
 end
 
+
+"""
+    @functor MyLayer
+
+Flux used to require the use of `Functors.@functor` to mark any new layer-like struct.
+This allowed it to explore inside the struct, and update any trainable parameters within.
+Flux@0.15 removes this requirement. This is because Functors@0.5 changed ist behaviour
+to be opt-out instead of opt-in. Arbitrary structs will now be explored without special marking.
+Hence calling `@functor` is no longer required.
+
+Calling `Flux.@layer MyLayer` is, however, still recommended. This adds various convenience methods
+for your layer type, such as pretty printing, and use with Adapt.jl.
+"""
+macro functor(ex)
+  @warn """The use of `Flux.@functor` is deprecated.
+      Most likely, you should write `Flux.@layer MyLayer` which will add various convenience methods for your type,
+      such as pretty-printing, and use with Adapt.jl.
+      However, this is not required. Flux.jl v0.15 uses Functors.jl v0.5, which makes exploration of most nested `struct`s
+      opt-out instead of opt-in... so Flux will automatically see inside any custom struct definitions.
+      """ maxlog=1
+  _layer_macro(ex)
+end
+
 # Allows caching of the parameters when params is called within gradient() to fix #2040.
 # @non_differentiable params(m...)  # https://github.com/FluxML/Flux.jl/pull/2054
 # That speeds up implicit use, and silently breaks explicit use.