Eigen/src/Core/arch/CUDA/MathFunctions.h
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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
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_CUDA_H
11 #define EIGEN_MATH_FUNCTIONS_CUDA_H
12 
13 namespace Eigen {
14 
15 namespace internal {
16 
17 // Make sure this is only available when targeting a GPU: we don't want to
18 // introduce conflicts between these packet_traits definitions and the ones
19 // we'll use on the host side (SSE, AVX, ...)
20 #if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
21 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
22 float4 plog<float4>(const float4& a)
23 {
24  return make_float4(logf(a.x), logf(a.y), logf(a.z), logf(a.w));
25 }
26 
27 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
28 double2 plog<double2>(const double2& a)
29 {
31  return make_double2(log(a.x), log(a.y));
32 }
33 
34 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
35 float4 plog1p<float4>(const float4& a)
36 {
37  return make_float4(log1pf(a.x), log1pf(a.y), log1pf(a.z), log1pf(a.w));
38 }
39 
40 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
41 double2 plog1p<double2>(const double2& a)
42 {
43  return make_double2(log1p(a.x), log1p(a.y));
44 }
45 
46 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
47 float4 pexp<float4>(const float4& a)
48 {
49  return make_float4(expf(a.x), expf(a.y), expf(a.z), expf(a.w));
50 }
51 
52 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
53 double2 pexp<double2>(const double2& a)
54 {
56  return make_double2(exp(a.x), exp(a.y));
57 }
58 
59 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
60 float4 psqrt<float4>(const float4& a)
61 {
62  return make_float4(sqrtf(a.x), sqrtf(a.y), sqrtf(a.z), sqrtf(a.w));
63 }
64 
65 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
66 double2 psqrt<double2>(const double2& a)
67 {
69  return make_double2(sqrt(a.x), sqrt(a.y));
70 }
71 
72 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
73 float4 prsqrt<float4>(const float4& a)
74 {
75  return make_float4(rsqrtf(a.x), rsqrtf(a.y), rsqrtf(a.z), rsqrtf(a.w));
76 }
77 
78 template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
79 double2 prsqrt<double2>(const double2& a)
80 {
81  return make_double2(rsqrt(a.x), rsqrt(a.y));
82 }
83 
84 
85 #endif
86 
87 } // end namespace internal
88 
89 } // end namespace Eigen
90 
91 #endif // EIGEN_MATH_FUNCTIONS_CUDA_H
#define EIGEN_STRONG_INLINE
Definition: Macros.h:493
EIGEN_DEVICE_FUNC const ExpReturnType exp() const
EIGEN_DEVICE_FUNC const LogReturnType log() const
EIGEN_DEVICE_FUNC const SqrtReturnType sqrt() const
Definition: LDLT.h:16
EIGEN_DEVICE_FUNC const Log1pReturnType log1p() const
EIGEN_DEVICE_FUNC const RsqrtReturnType rsqrt() const


hebiros
Author(s): Xavier Artache , Matthew Tesch
autogenerated on Thu Sep 3 2020 04:08:24