ESPResSo
Extensible Simulation Package for Research on Soft Matter Systems
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ContinuityKernel_double_precision.cpp
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1//======================================================================================================================
2//
3// This file is part of waLBerla. waLBerla is free software: you can
4// redistribute it and/or modify it under the terms of the GNU General Public
5// License as published by the Free Software Foundation, either version 3 of
6// the License, or (at your option) any later version.
7//
8// waLBerla is distributed in the hope that it will be useful, but WITHOUT
9// ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
10// FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
11// for more details.
12//
13// You should have received a copy of the GNU General Public License along
14// with waLBerla (see COPYING.txt). If not, see <http://www.gnu.org/licenses/>.
15//
16//! \\file ContinuityKernel_double_precision.cpp
17//! \\author pystencils
18//======================================================================================================================
19
20// kernel generated with pystencils v1.3.3, lbmpy v1.3.3, lbmpy_walberla/pystencils_walberla from waLBerla commit b0842e1a493ce19ef1bbb8d2cf382fc343970a7f
21
22#include <cmath>
23
24#include "ContinuityKernel_double_precision.h"
25#include "core/DataTypes.h"
26#include "core/Macros.h"
27
28#define FUNC_PREFIX
29
30#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
31#pragma GCC diagnostic push
32#pragma GCC diagnostic ignored "-Wfloat-equal"
33#pragma GCC diagnostic ignored "-Wshadow"
34#pragma GCC diagnostic ignored "-Wconversion"
35#pragma GCC diagnostic ignored "-Wunused-variable"
36#endif
37
38#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
39#pragma warning push
40#pragma warning(disable : 1599)
41#endif
42
43using namespace std;
44
45namespace walberla {
46namespace pystencils {
47
48namespace internal_5c5e903f8ea7925cf790d7c2318b2c56 {
49static FUNC_PREFIX void continuitykernel_double_precision_continuitykernel_double_precision(double *RESTRICT const _data_j, double *RESTRICT _data_rho, int64_t const _size_j_0, int64_t const _size_j_1, int64_t const _size_j_2, int64_t const _stride_j_0, int64_t const _stride_j_1, int64_t const _stride_j_2, int64_t const _stride_j_3, int64_t const _stride_rho_0, int64_t const _stride_rho_1, int64_t const _stride_rho_2) {
50 for (int64_t ctr_2 = 1; ctr_2 < _size_j_2 - 1; ctr_2 += 1) {
51 for (int64_t ctr_1 = 1; ctr_1 < _size_j_1 - 1; ctr_1 += 1) {
52 for (int64_t ctr_0 = 1; ctr_0 < _size_j_0 - 1; ctr_0 += 1) {
53 _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2] = _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 9 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 10 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 5 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 6 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 11 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_0 + _stride_j_1 * ctr_1 - _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 12 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 7 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 + _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_1 + _stride_j_2 * ctr_2 - _stride_j_2 + 8 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 10 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 11 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 12 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 2 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 3 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 4 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 5 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 6 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 7 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 8 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + 9 * _stride_j_3] + _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_2 + 2 * _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2 + _stride_j_3] - _data_j[_stride_j_0 * ctr_0 + _stride_j_1 * ctr_1 + _stride_j_2 * ctr_2] + _data_rho[_stride_rho_0 * ctr_0 + _stride_rho_1 * ctr_1 + _stride_rho_2 * ctr_2];
54 }
55 }
56 }
57}
58} // namespace internal_5c5e903f8ea7925cf790d7c2318b2c56
59
60void ContinuityKernel_double_precision::run(IBlock *block) {
61
62 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
63 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
64
65 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(j->nrOfGhostLayers()))
66 double *RESTRICT const _data_j = j->dataAt(-1, -1, -1, 0);
67 WALBERLA_ASSERT_GREATER_EQUAL(-1, -int_c(rho->nrOfGhostLayers()))
68 double *RESTRICT _data_rho = rho->dataAt(-1, -1, -1, 0);
69 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(j->xSize()) + 2))
70 const int64_t _size_j_0 = int64_t(int64_c(j->xSize()) + 2);
71 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(j->ySize()) + 2))
72 const int64_t _size_j_1 = int64_t(int64_c(j->ySize()) + 2);
73 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(j->zSize()) + 2))
74 const int64_t _size_j_2 = int64_t(int64_c(j->zSize()) + 2);
75 const int64_t _stride_j_0 = int64_t(j->xStride());
76 const int64_t _stride_j_1 = int64_t(j->yStride());
77 const int64_t _stride_j_2 = int64_t(j->zStride());
78 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
79 const int64_t _stride_rho_0 = int64_t(rho->xStride());
80 const int64_t _stride_rho_1 = int64_t(rho->yStride());
81 const int64_t _stride_rho_2 = int64_t(rho->zStride());
82 internal_5c5e903f8ea7925cf790d7c2318b2c56::continuitykernel_double_precision_continuitykernel_double_precision(_data_j, _data_rho, _size_j_0, _size_j_1, _size_j_2, _stride_j_0, _stride_j_1, _stride_j_2, _stride_j_3, _stride_rho_0, _stride_rho_1, _stride_rho_2);
83}
84
85void ContinuityKernel_double_precision::runOnCellInterval(const shared_ptr<StructuredBlockStorage> &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block) {
86
87 CellInterval ci = globalCellInterval;
88 CellInterval blockBB = blocks->getBlockCellBB(*block);
89 blockBB.expand(ghostLayers);
90 ci.intersect(blockBB);
91 blocks->transformGlobalToBlockLocalCellInterval(ci, *block);
92 if (ci.empty())
93 return;
94
95 auto j = block->getData<field::GhostLayerField<double, 13>>(jID);
96 auto rho = block->getData<field::GhostLayerField<double, 1>>(rhoID);
97
98 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(j->nrOfGhostLayers()))
99 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(j->nrOfGhostLayers()))
100 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(j->nrOfGhostLayers()))
101 double *RESTRICT const _data_j = j->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
102 WALBERLA_ASSERT_GREATER_EQUAL(ci.xMin() - 1, -int_c(rho->nrOfGhostLayers()))
103 WALBERLA_ASSERT_GREATER_EQUAL(ci.yMin() - 1, -int_c(rho->nrOfGhostLayers()))
104 WALBERLA_ASSERT_GREATER_EQUAL(ci.zMin() - 1, -int_c(rho->nrOfGhostLayers()))
105 double *RESTRICT _data_rho = rho->dataAt(ci.xMin() - 1, ci.yMin() - 1, ci.zMin() - 1, 0);
106 WALBERLA_ASSERT_GREATER_EQUAL(j->xSizeWithGhostLayer(), int64_t(int64_c(ci.xSize()) + 2))
107 const int64_t _size_j_0 = int64_t(int64_c(ci.xSize()) + 2);
108 WALBERLA_ASSERT_GREATER_EQUAL(j->ySizeWithGhostLayer(), int64_t(int64_c(ci.ySize()) + 2))
109 const int64_t _size_j_1 = int64_t(int64_c(ci.ySize()) + 2);
110 WALBERLA_ASSERT_GREATER_EQUAL(j->zSizeWithGhostLayer(), int64_t(int64_c(ci.zSize()) + 2))
111 const int64_t _size_j_2 = int64_t(int64_c(ci.zSize()) + 2);
112 const int64_t _stride_j_0 = int64_t(j->xStride());
113 const int64_t _stride_j_1 = int64_t(j->yStride());
114 const int64_t _stride_j_2 = int64_t(j->zStride());
115 const int64_t _stride_j_3 = int64_t(1 * int64_t(j->fStride()));
116 const int64_t _stride_rho_0 = int64_t(rho->xStride());
117 const int64_t _stride_rho_1 = int64_t(rho->yStride());
118 const int64_t _stride_rho_2 = int64_t(rho->zStride());
119 internal_5c5e903f8ea7925cf790d7c2318b2c56::continuitykernel_double_precision_continuitykernel_double_precision(_data_j, _data_rho, _size_j_0, _size_j_1, _size_j_2, _stride_j_0, _stride_j_1, _stride_j_2, _stride_j_3, _stride_rho_0, _stride_rho_1, _stride_rho_2);
120}
121
122} // namespace pystencils
123} // namespace walberla
124
125#if (defined WALBERLA_CXX_COMPILER_IS_GNU) || (defined WALBERLA_CXX_COMPILER_IS_CLANG)
126#pragma GCC diagnostic pop
127#endif
128
129#if (defined WALBERLA_CXX_COMPILER_IS_INTEL)
130#pragma warning pop
131#endif
FUNC_PREFIX
#define FUNC_PREFIX
\file AdvectiveFluxKernel_double_precision.cpp \author pystencils
Definition AdvectiveFluxKernel_double_precision.cpp:28
RESTRICT
#define RESTRICT
\file AdvectiveFluxKernel_double_precision.h \author pystencils
Definition AdvectiveFluxKernel_double_precision.h:40
ContinuityKernel_double_precision.h
walberla::pystencils::ContinuityKernel_double_precision::rhoID
BlockDataID rhoID
Definition ContinuityKernel_double_precision.h:97
walberla::pystencils::ContinuityKernel_double_precision::runOnCellInterval
void runOnCellInterval(const shared_ptr< StructuredBlockStorage > &blocks, const CellInterval &globalCellInterval, cell_idx_t ghostLayers, IBlock *block)
Definition ContinuityKernel_double_precision.cpp:85
walberla::pystencils::ContinuityKernel_double_precision::run
void run(IBlock *block)
Definition ContinuityKernel_double_precision.cpp:60
walberla::pystencils::ContinuityKernel_double_precision::jID
BlockDataID jID
Definition ContinuityKernel_double_precision.h:96
block
static double * block(double *p, std::size_t index, std::size_t size)
Definition elc.cpp:172
walberla::pystencils::internal_5c5e903f8ea7925cf790d7c2318b2c56::continuitykernel_double_precision_continuitykernel_double_precision
static FUNC_PREFIX void continuitykernel_double_precision_continuitykernel_double_precision(double *RESTRICT const _data_j, double *RESTRICT _data_rho, int64_t const _size_j_0, int64_t const _size_j_1, int64_t const _size_j_2, int64_t const _stride_j_0, int64_t const _stride_j_1, int64_t const _stride_j_2, int64_t const _stride_j_3, int64_t const _stride_rho_0, int64_t const _stride_rho_1, int64_t const _stride_rho_2)
Definition ContinuityKernel_double_precision.cpp:49