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-rw-r--r--Eigen/src/Core/arch/CUDA/PacketMathHalf.h192
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diff --git a/Eigen/src/Core/arch/CUDA/PacketMathHalf.h b/Eigen/src/Core/arch/CUDA/PacketMathHalf.h
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+++ b/Eigen/src/Core/arch/CUDA/PacketMathHalf.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_HALF_CUDA_H
+#define EIGEN_PACKET_MATH_HALF_CUDA_H
+
+#if defined(EIGEN_HAS_CUDA_FP16)
+
+// Make sure this is only available when targeting a GPU: we don't want to
+// introduce conflicts between these packet_traits definitions and the ones
+// we'll use on the host side (SSE, AVX, ...)
+#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
+
+// Most of the following operations require arch >= 5.3
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530
+
+namespace Eigen {
+namespace internal {
+
+template<> struct is_arithmetic<half2> { enum { value = true }; };
+
+template<> struct packet_traits<half> : default_packet_traits
+{
+ typedef half2 type;
+ typedef half2 half;
+ enum {
+ Vectorizable = 1,
+ AlignedOnScalar = 1,
+ size=2,
+ HasHalfPacket = 0,
+ HasDiv = 1
+ };
+};
+
+
+template<> struct unpacket_traits<half2> { typedef half type; enum {size=2, alignment=Aligned16}; typedef half2 half; };
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pset1<half2>(const half& from) {
+ return __half2half2(from);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pload<half2>(const half* from) {
+ return *reinterpret_cast<const half2*>(from);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 ploadu<half2>(const half* from) {
+ return __halves2half2(from[0], from[1]);
+}
+
+template<> EIGEN_STRONG_INLINE half2 ploaddup<half2>(const half* from) {
+ return __halves2half2(from[0], from[0]);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstore<half>(half* to, const half2& from) {
+ *reinterpret_cast<half2*>(to) = from;
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstoreu<half>(half* to, const half2& from) {
+ to[0] = __low2half(from);
+ to[1] = __high2half(from);
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Aligned>(const half* from) {
+ return __ldg((const half2*)from);
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Unaligned>(const half* from) {
+ return __halves2half2(__ldg(from+0), __ldg(from+1));
+}
+
+template<> EIGEN_DEVICE_FUNC inline half2 pgather<half, half2>(const half* from, Index stride) {
+ return __halves2half2(from[0*stride], from[1*stride]);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<half, half2>(half* to, const half2& from, Index stride) {
+ to[stride*0] = __low2half(from);
+ to[stride*1] = __high2half(from);
+}
+
+template<> EIGEN_DEVICE_FUNC inline half pfirst<half2>(const half2& a) {
+ return __low2half(a);
+}
+
+template<> EIGEN_DEVICE_FUNC inline half2 pabs<half2>(const half2& a) {
+ half2 result;
+ result.x = a.x & 0x7FFF7FFF;
+ return result;
+}
+
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<half2,2>& kernel) {
+ half a1 = __low2half(kernel.packet[0]);
+ half a2 = __high2half(kernel.packet[0]);
+ half b1 = __low2half(kernel.packet[1]);
+ half b2 = __high2half(kernel.packet[1]);
+ kernel.packet[0] = __halves2half2(a1, b1);
+ kernel.packet[1] = __halves2half2(a2, b2);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 plset<half2>(const half& a) {
+ return __halves2half2(a, __hadd(a, __float2half(1.0f)));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 padd<half2>(const half2& a, const half2& b) {
+ return __hadd2(a, b);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 psub<half2>(const half2& a, const half2& b) {
+ return __hsub2(a, b);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pnegate(const half2& a) {
+ return __hneg2(a);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pconj(const half2& a) { return a; }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pmul<half2>(const half2& a, const half2& b) {
+ return __hmul2(a, b);
+}
+
+ template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pmadd<half2>(const half2& a, const half2& b, const half2& c) {
+ return __hfma2(a, b, c);
+ }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pdiv<half2>(const half2& a, const half2& b) {
+ float a1 = __low2float(a);
+ float a2 = __high2float(a);
+ float b1 = __low2float(b);
+ float b2 = __high2float(b);
+ float r1 = a1 / b1;
+ float r2 = a2 / b2;
+ return __floats2half2_rn(r1, r2);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pmin<half2>(const half2& a, const half2& b) {
+ float a1 = __low2float(a);
+ float a2 = __high2float(a);
+ float b1 = __low2float(b);
+ float b2 = __high2float(b);
+ half r1 = a1 < b1 ? __low2half(a) : __low2half(b);
+ half r2 = a2 < b2 ? __high2half(a) : __high2half(b);
+ return __halves2half2(r1, r2);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pmax<half2>(const half2& a, const half2& b) {
+ float a1 = __low2float(a);
+ float a2 = __high2float(a);
+ float b1 = __low2float(b);
+ float b2 = __high2float(b);
+ half r1 = a1 > b1 ? __low2half(a) : __low2half(b);
+ half r2 = a2 > b2 ? __high2half(a) : __high2half(b);
+ return __halves2half2(r1, r2);
+}
+
+template<> EIGEN_DEVICE_FUNC inline half predux<half2>(const half2& a) {
+ return __hadd(__low2half(a), __high2half(a));
+}
+
+template<> EIGEN_DEVICE_FUNC inline half predux_max<half2>(const half2& a) {
+ half first = __low2half(a);
+ half second = __high2half(a);
+ return __hgt(first, second) ? first : second;
+}
+
+template<> EIGEN_DEVICE_FUNC inline half predux_min<half2>(const half2& a) {
+ half first = __low2half(a);
+ half second = __high2half(a);
+ return __hlt(first, second) ? first : second;
+}
+
+template<> EIGEN_DEVICE_FUNC inline half predux_mul<half2>(const half2& a) {
+ return __hmul(__low2half(a), __high2half(a));
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif
+#endif
+#endif
+#endif // EIGEN_PACKET_MATH_HALF_CUDA_H