Eigen  3.4.90 (git rev 5a9f66fb35d03a4da9ef8976e67a61b30aa16dcf)
 
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arch/GPU/MathFunctions.h
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2014 Benoit Steiner <[email protected]>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_MATH_FUNCTIONS_GPU_H
11#define EIGEN_MATH_FUNCTIONS_GPU_H
12
13// IWYU pragma: private
14#include "../../InternalHeaderCheck.h"
15
16namespace Eigen {
17
18namespace internal {
19
20// Make sure this is only available when targeting a GPU: we don't want to
21// introduce conflicts between these packet_traits definitions and the ones
22// we'll use on the host side (SSE, AVX, ...)
23#if defined(EIGEN_GPUCC) && defined(EIGEN_USE_GPU)
24template <>
25EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 plog<float4>(const float4& a) {
26 return make_float4(logf(a.x), logf(a.y), logf(a.z), logf(a.w));
27}
28
29template <>
30EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 plog<double2>(const double2& a) {
31 using ::log;
32 return make_double2(log(a.x), log(a.y));
33}
34
35template <>
36EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 plog1p<float4>(const float4& a) {
37 return make_float4(log1pf(a.x), log1pf(a.y), log1pf(a.z), log1pf(a.w));
38}
39
40template <>
41EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 plog1p<double2>(const double2& a) {
42 return make_double2(log1p(a.x), log1p(a.y));
43}
44
45template <>
46EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pexp<float4>(const float4& a) {
47 return make_float4(expf(a.x), expf(a.y), expf(a.z), expf(a.w));
48}
49
50template <>
51EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pexp<double2>(const double2& a) {
52 using ::exp;
53 return make_double2(exp(a.x), exp(a.y));
54}
55
56template <>
57EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pexpm1<float4>(const float4& a) {
58 return make_float4(expm1f(a.x), expm1f(a.y), expm1f(a.z), expm1f(a.w));
59}
60
61template <>
62EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pexpm1<double2>(const double2& a) {
63 return make_double2(expm1(a.x), expm1(a.y));
64}
65
66template <>
67EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 psqrt<float4>(const float4& a) {
68 return make_float4(sqrtf(a.x), sqrtf(a.y), sqrtf(a.z), sqrtf(a.w));
69}
70
71template <>
72EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 psqrt<double2>(const double2& a) {
73 using ::sqrt;
74 return make_double2(sqrt(a.x), sqrt(a.y));
75}
76
77template <>
78EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 prsqrt<float4>(const float4& a) {
79 return make_float4(rsqrtf(a.x), rsqrtf(a.y), rsqrtf(a.z), rsqrtf(a.w));
80}
81
82template <>
83EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 prsqrt<double2>(const double2& a) {
84 return make_double2(rsqrt(a.x), rsqrt(a.y));
85}
86
87#endif
88
89} // end namespace internal
90
91} // end namespace Eigen
92
93#endif // EIGEN_MATH_FUNCTIONS_GPU_H
Namespace containing all symbols from the Eigen library.
Definition Core:137
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sqrt_op< typename Derived::Scalar >, const Derived > sqrt(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_expm1_op< typename Derived::Scalar >, const Derived > expm1(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_exp_op< typename Derived::Scalar >, const Derived > exp(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_rsqrt_op< typename Derived::Scalar >, const Derived > rsqrt(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log1p_op< typename Derived::Scalar >, const Derived > log1p(const Eigen::ArrayBase< Derived > &x)
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_log_op< typename Derived::Scalar >, const Derived > log(const Eigen::ArrayBase< Derived > &x)