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Add support for higher-order derivatives #233

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Merged
lkdvos merged 5 commits into from
Dec 15, 2025
Merged

Add support for higher-order derivatives #233

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3344b45
Fix rrule of `tensorscalar` to avoid inplace function and delete unne…
yitan1 Dec 4, 2025
14d823f
remove TODO of tensorscalar
yitan1 Dec 4, 2025
e509e2b
style: apply Runic formatting
yitan1 Dec 4, 2025
a707073
fix: update promote_op to use TensorOperations functions for consistency
yitan1 Dec 15, 2025
969032f
Merge branch 'master' into higher-ad
yitan1 Dec 15, 2025
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30 changes: 16 additions & 14 deletions ext/TensorOperationsChainRulesCoreExt.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,8 @@ trivtuple(N) = ntuple(identity, N)
@non_differentiable TensorOperations.tensorcontract_structure(args...)
@non_differentiable TensorOperations.tensorcontract_type(args...)
@non_differentiable TensorOperations.tensoralloc_contract(args...)
@non_differentiable TensorOperations.promote_contract(args...)
@non_differentiable TensorOperations.promote_add(args...)

# Cannot free intermediate tensors when using AD
# Thus we change the forward passes: `istemp=false` and `tensorfree!` is a no-op
Expand All @@ -38,11 +40,11 @@ function ChainRulesCore.rrule(
return output, tensoralloc_pullback
end

# TODO: possibly use the non-inplace functions, to avoid depending on Base.copy
function ChainRulesCore.rrule(::typeof(tensorscalar), C)
projectC = ProjectTo(C)
function tensorscalar_pullback(Δc)
ΔC = TensorOperations.tensoralloc(typeof(C), TensorOperations.tensorstructure(C))
return NoTangent(), fill!(ΔC, unthunk(Δc))
_Δc = unthunk(Δc)
return NoTangent(), projectC(_Δc)
end
return tensorscalar(C), tensorscalar_pullback
end
Expand Down Expand Up @@ -95,7 +97,7 @@ function _rrule_tensoradd!(C, A, pA, conjA, α, β, ba)
ipA = invperm(linearize(pA))
_dA = zerovector(A, VectorInterface.promote_add(ΔC, α))
_dA = tensoradd!(_dA, ΔC, (ipA, ()), conjA, conjA ? α : conj(α), Zero(), ba...)
return projectA(_dA)
projectA(_dA)
end
dα = @thunk let
_dα = tensorscalar(
Expand All @@ -105,7 +107,7 @@ function _rrule_tensoradd!(C, A, pA, conjA, α, β, ba)
((), ()), One(), ba...
)
)
return projectα(_dα)
projectα(_dα)
end
dβ = @thunk let
# TODO: consider using `inner`
Expand All @@ -116,7 +118,7 @@ function _rrule_tensoradd!(C, A, pA, conjA, α, β, ba)
((), ()), One(), ba...
)
)
return projectβ(_dβ)
projectβ(_dβ)
end
dba = map(_ -> NoTangent(), ba)
return NoTangent(), dC, dA, NoTangent(), NoTangent(), dα, dβ, dba...
Expand Down Expand Up @@ -194,7 +196,7 @@ function _rrule_tensorcontract!(C, A, pA, conjA, B, pB, conjB, pAB, α, β, ba)
ipA,
conjA ? α : conj(α), Zero(), ba...
)
return projectA(_dA)
projectA(_dA)
end
dB = @thunk let
ipB = (invperm(linearize(pB)), ())
Expand All @@ -208,7 +210,7 @@ function _rrule_tensorcontract!(C, A, pA, conjA, B, pB, conjB, pAB, α, β, ba)
ipB,
conjB ? α : conj(α), Zero(), ba...
)
return projectB(_dB)
projectB(_dB)
end
dα = @thunk let
C_αβ = tensorcontract(A, pA, conjA, B, pB, conjB, pAB, One(), ba...)
Expand All @@ -220,7 +222,7 @@ function _rrule_tensorcontract!(C, A, pA, conjA, B, pB, conjB, pAB, α, β, ba)
((), ()), One(), ba...
)
)
return projectα(_dα)
projectα(_dα)
end
dβ = @thunk let
# TODO: consider using `inner`
Expand All @@ -231,7 +233,7 @@ function _rrule_tensorcontract!(C, A, pA, conjA, B, pB, conjB, pAB, α, β, ba)
((), ()), One(), ba...
)
)
return projectβ(_dβ)
projectβ(_dβ)
end
dba = map(_ -> NoTangent(), ba)
return NoTangent(), dC,
Expand Down Expand Up @@ -283,7 +285,7 @@ function _rrule_tensortrace!(C, A, p, q, conjA, α, β, ba)
dA = @thunk let
ip = invperm((linearize(p)..., q[1]..., q[2]...))
Es = map(q[1], q[2]) do i1, i2
return one(
one(
TensorOperations.tensoralloc_add(
scalartype(A), A, ((i1,), (i2,)), conjA
)
Expand All @@ -297,7 +299,7 @@ function _rrule_tensortrace!(C, A, p, q, conjA, α, β, ba)
(ip, ()),
conjA ? α : conj(α), Zero(), ba...
)
return projectA(_dA)
projectA(_dA)
end
dα = @thunk let
C_αβ = tensortrace(A, p, q, false, One(), ba...)
Expand All @@ -309,7 +311,7 @@ function _rrule_tensortrace!(C, A, p, q, conjA, α, β, ba)
((), ()), One(), ba...
)
)
return projectα(_dα)
projectα(_dα)
end
dβ = @thunk let
_dβ = tensorscalar(
Expand All @@ -319,7 +321,7 @@ function _rrule_tensortrace!(C, A, p, q, conjA, α, β, ba)
((), ()), One(), ba...
)
)
return projectβ(_dβ)
projectβ(_dβ)
end
dba = map(_ -> NoTangent(), ba)
return NoTangent(), dC, dA, NoTangent(), NoTangent(), NoTangent(), dα, dβ, dba...
Expand Down
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