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[APFloat] Fixed a bug in method 'fusedMultiplyAdd'.
When folding a fused multiply-add builtin call, make sure that we propagate the
correct result in the case where the addend is zero, and the two other operands
are finite non-zero.
Example:
define double @test() {
%1 = call double @llvm.fma.f64(double 7.0, double 8.0, double 0.0)
ret double %1
}
Before this patch, the instruction simplifier wrongly folded the builtin call
in function @test to constant 'double 7.0'.
With this patch, method 'fusedMultiplyAdd' correctly evaluates the multiply and
propagates the expected result (i.e. 56.0).
Added test fold-builtin-fma.ll with the reproducible from PR20832 plus extra
test cases to verify the behavior of method 'fusedMultiplyAdd' in the presence
of NaN/Inf operands.
This fixes PR20832.
Differential Revision: http://reviews.llvm.org/D5152
git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@216913 91177308-0d34-0410-b5e6-96231b3b80d8
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@@ -1801,7 +1801,7 @@ APFloat::fusedMultiplyAdd(const APFloat &multiplicand,
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extended-precision calculation. */
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if (isFiniteNonZero() &&
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multiplicand.isFiniteNonZero() &&
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addend.isFiniteNonZero()) {
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addend.isFinite()) {
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lostFraction lost_fraction;
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lost_fraction = multiplySignificand(multiplicand, &addend);
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