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Friendly gradients returned `(n = NoTangent(),)` for non-differentiable structs and raised missing-`fields` errors for floating-point `Complex`, `TwicePrecision` and `MemoryRef` arguments. On Julia 1.12+, a `Method` argument overflowed the stack during cache construction. Build per-field caches only for standard `Tangent` or `MutableTangent` representations; return other tangents unchanged. Assisted-by: Claude Code <noreply@anthropic.com>
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With
friendly_tangents=true,friendly_tangent_cacheassumed every immutable struct with fields has aTangent. Differentiatingabs2at1.0 + 2.0im, or any function of a floating-pointComplex,TwicePrecisionorMemoryRefargument, threw an error such astype Complex has no field fields. Non-differentiable structs returned(n = NoTangent(),)-style output instead ofNoTangent(), and on Julia 1.12 and later a mutable one such as aMethodoverflowed the stack.The field-wise conversion now applies only when the tangent type is
TangentorMutableTangent; any other tangent is returned unchanged, as theAsRawdocstring states for custom tangent types.CI Summary — GitHub Actions
Documentation Preview
Mooncake.jl documentation for PR #1467 is available at:
https://chalk-lab.github.io/Mooncake.jl/previews/PR1467/
Performance
Performance Ratio:
Ratio of time to compute gradient and time to compute function.
Warning: results are very approximate! See here for more context.