JuliaDiff · oxinabox · Jun 1, 2021 · May 26, 2021 · May 26, 2021 · May 26, 2021
diff --git a/.github/workflows/IntegrationTest.yml b/.github/workflows/IntegrationTest.yml
@@ -16,6 +16,7 @@ jobs:
         os: [ubuntu-latest]
         package:
           - {user: JuliaDiff, repo: ChainRules.jl}
+          - {user: JuliaDiff, repo: ChainRulesOverloadGeneration.jl}
           - {user: JuliaMath, repo: SpecialFunctions.jl}
           - {user: invenia, repo: BlockDiagonals.jl}
           - {user: invenia, repo: PDMatsExtras.jl}

diff --git a/docs/make.jl b/docs/make.jl
@@ -52,10 +52,7 @@ makedocs(
         "Deriving Array Rules" => "arrays.md",
         "Debug Mode" => "debug_mode.md",
         "Gradient Accumulation" => "gradient_accumulation.md",
-        "Usage in AD" => [
-            "Overview" => "autodiff/overview.md",
-            "Operator Overloading" => "autodiff/operator_overloading.md",
-        ],
+        "Usage in AD" => "use_in_ad_system.md",
         "Design" => [
             "Changing the Primal" => "design/changing_the_primal.md",
             "Many Differential Types" => "design/many_differentials.md",

diff --git a/docs/src/api.md b/docs/src/api.md
@@ -34,16 +34,8 @@ add!!
 ChainRulesCore.is_inplaceable_destination
 ```
 
-## Ruleset Loading
-```@autodocs
-Modules = [ChainRulesCore]
-Pages = ["ruleset_loading.jl"]
-Private = false
-```
-
 ## Internal
 ```@docs
 ChainRulesCore.AbstractTangent
 ChainRulesCore.debug_mode
-ChainRulesCore.clear_new_rule_hooks!
 ```
diff --git a/docs/src/autodiff/operator_overloading.md b/docs/src/autodiff/operator_overloading.md
diff --git a/docs/src/autodiff/overview.md → docs/src/use_in_ad_system.md b/docs/src/autodiff/overview.md → docs/src/use_in_ad_system.md
@@ -7,7 +7,8 @@ to avoid having to code all your own AD primitives / custom sensitives.
 
 There are 3 main ways to access ChainRules rule sets in your AutoDiff system.
 
-1. [Operation Overloading Generation](operator_overloading.html)
+1. [Operator Overloading Generation](https://juliadiff.org/ChainRulesOverloadGeneration.jl/stable)
+    - Use [ChainRulesOverloadGeneration.jl](https://github.com/JuliaDiff/ChainRulesOverloadGeneration.jl/).
     - This is primarily intended for operator overloading based AD systems which will generate overloads for primal functions based for their overloaded types based on the existence of an `rrule`/`frule`.
     - A source code generation based AD can also use this by overloading their transform generating function directly so as not to recursively generate a transform but to just return the rule.
     - This does not play nice with Revise.jl, adding or modifying rules in loaded files will not be reflected until a manual refresh, and deleting rules will not be reflected at all.

diff --git a/src/ChainRulesCore.jl b/src/ChainRulesCore.jl
@@ -4,7 +4,6 @@ using LinearAlgebra: LinearAlgebra
 using SparseArrays: SparseVector, SparseMatrixCSC
 using Compat: hasfield
 
-export on_new_rule, refresh_rules  # generation tools
 export frule, rrule  # core function
 export @non_differentiable, @scalar_rule, @thunk, @not_implemented  # definition helper macros
 export canonicalize, extern, unthunk  # differential operations
@@ -27,9 +26,7 @@ include("accumulation.jl")
 
 include("rules.jl")
 include("rule_definition_tools.jl")
-include("ruleset_loading.jl")
 
 include("deprecated.jl")
-include("precompile.jl")
 
 end # module
diff --git a/src/precompile.jl b/src/precompile.jl
diff --git a/src/ruleset_loading.jl b/src/ruleset_loading.jl
diff --git a/test/demos/forwarddiffzero.jl b/test/demos/forwarddiffzero.jl