[AutoDiff upstream] Serialize derivative function configurations. #30672
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Serialize derivative function configurations per module.
@differentiable
and@derivative
attributes register derivatives forAbstractFunctionDecl
s for a particular "derivative function configuration":parameter indices and dervative generic signature.
To find
@derivative
functions registered in other Swift modules, derivativefunction configurations must be serialized per module. When configurations for
a
AbstractFunctionDecl
are requested, all configurations from importedmodules are deserialized. This module serialization technique has precedent: it
is used for protocol conformances (e.g. extension declarations for a nominal
type) and Obj-C members for a class type.
Add
AbstractFunctionDecl::getDerivativeFunctionConfigurations
entry pointfor accessing derivative function configurations.
In the differentiation transform: use
AbstractFunctionDecl::getDerivativeFunctionConfigurations
to implementfindMinimalDerivativeConfiguration
for canonical derivative functionconfiguration lookup, replacing
getMinimalASTDifferentiableAttr
.Resolves TF-1100.
Upstreams #28608 from
tensorflow
branch.Tests will be added when the differentiation transform is upstreamed: TF-1211.