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Add reciprocal packet op and fast specializations for float with SSE, AVX, and AVX512.

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This commit is contained in:
Rasmus Munk Larsen
2022-01-21 23:49:18 +00:00
parent 4b0926f99b
commit ea2c02060c
14 changed files with 95 additions and 63 deletions
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11
Eigen/src/Core/functors/UnaryFunctors.h
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@@ -723,13 +723,18 @@ struct scalar_inverse_op {
EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return Scalar(1)/a; }
template<typename Packet>
EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const
{ return internal::pdiv(pset1<Packet>(Scalar(1)),a); }
{ return internal::preciprocal(a); }
};
template <typename Scalar>
struct functor_traits<scalar_inverse_op<Scalar> > {
enum {
PacketAccess = packet_traits<Scalar>::HasDiv,
Cost = scalar_div_cost<Scalar, PacketAccess>::value
// If packet_traits<Scalar>::HasReciprocal then the Estimated cost is that
// of computing an approximation plus a single Newton-Raphson step, which
// consists of 1 pmul + 1 pmadd.
Cost = (packet_traits<Scalar>::HasReciprocal
? 4 * NumTraits<Scalar>::MulCost
: scalar_div_cost<Scalar, PacketAccess>::value)
};
};
@@ -1033,7 +1038,7 @@ struct scalar_logistic_op {
}
};
// TODO(rmlarsen): Enable the following on host when integer_packet is defined
// TODO(rmlarsen): Enable the following on host when integer_packet is defined
// for the relevant packet types.
#ifdef EIGEN_GPU_CC