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Add workaround for using std::fma for scalar multiply-add.
This commit is contained in:
committed by
Rasmus Munk Larsen
parent
5996176b88
commit
ef3c5c1d1d
@@ -1004,8 +1004,7 @@ struct madd_impl {
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}
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};
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// Use FMA if there is a single CPU instruction.
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#ifdef EIGEN_VECTORIZE_FMA
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#if EIGEN_SCALAR_MADD_USE_FMA
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template <typename Scalar>
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struct madd_impl<Scalar, std::enable_if_t<has_fma<Scalar>::value>> {
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static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar run(const Scalar& x, const Scalar& y, const Scalar& z) {
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@@ -1927,7 +1926,6 @@ EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar arithmetic_shift_right(const Scalar
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return bit_cast<Scalar, SignedScalar>(bit_cast<SignedScalar, Scalar>(a) >> n);
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}
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// Otherwise, rely on template implementation.
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template <typename Scalar>
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar fma(const Scalar& x, const Scalar& y, const Scalar& z) {
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return internal::fma_impl<Scalar>::run(x, y, z);
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@@ -52,6 +52,26 @@
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#define EIGEN_STACK_ALLOCATION_LIMIT 131072
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#endif
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/* Specify whether to use std::fma for scalar multiply-add instructions.
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*
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* On machines that have FMA as a single instruction, this will generally
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* improve precision without significant performance implications.
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*
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* Without a single instruction, performance has been found to be reduced 2-3x
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* on Intel CPUs, and up to 30x for WASM.
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*
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* If unspecified, defaults to using FMA if hardware support is available.
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* The default should be used in most cases to ensure consistency between
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* vectorized and non-vectorized paths.
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*/
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#ifndef EIGEN_SCALAR_MADD_USE_FMA
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#ifdef EIGEN_VECTORIZE_FMA
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#define EIGEN_SCALAR_MADD_USE_FMA 1
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#else
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#define EIGEN_SCALAR_MADD_USE_FMA 0
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#endif
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#endif
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//------------------------------------------------------------------------------------------
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// Compiler identification, EIGEN_COMP_*
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//------------------------------------------------------------------------------------------
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