273 lines
11 KiB
C++
273 lines
11 KiB
C++
/* ******************************************************************************
|
|
*
|
|
*
|
|
* This program and the accompanying materials are made available under the
|
|
* terms of the Apache License, Version 2.0 which is available at
|
|
* https://www.apache.org/licenses/LICENSE-2.0.
|
|
*
|
|
* See the NOTICE file distributed with this work for additional
|
|
* information regarding copyright ownership.
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
|
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
|
* License for the specific language governing permissions and limitations
|
|
* under the License.
|
|
*
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
******************************************************************************/
|
|
|
|
//
|
|
// @author raver119@gmail.com, created on 07.10.2017.
|
|
// @author Yurii Shyrma (iuriish@yahoo.com)
|
|
//
|
|
|
|
|
|
#include <system/pointercast.h>
|
|
#include <helpers/shape.h>
|
|
#include <helpers/TAD.h>
|
|
#include <ops/specials.h>
|
|
#include <system/dll.h>
|
|
#include <array/NDArray.h>
|
|
#include <ops/declarable/CustomOperations.h>
|
|
#include <types/types.h>
|
|
#include <helpers/Loops.h>
|
|
|
|
namespace sd {
|
|
|
|
|
|
template<typename S, typename T>
|
|
void SpecialTypeConverter::convertGeneric(Nd4jPointer * extras, void *dx, Nd4jLong N, void *dz) {
|
|
auto x = reinterpret_cast<S *>(dx);
|
|
auto z = reinterpret_cast<T *>(dz);
|
|
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++) {
|
|
z[i] = static_cast<T>(x[i]);
|
|
}
|
|
};
|
|
|
|
samediff::Threads::parallel_for(func, 0, N);
|
|
};
|
|
|
|
|
|
template <typename X, typename Y>
|
|
void quickSort_parallel_internal_key(X* key, Nd4jLong const* xShapeInfo, Y* values, Nd4jLong const* yShapeInfo, int left, int right, int cutoff, bool descending) {
|
|
int i = left, j = right;
|
|
X ktmp;
|
|
X pivot = key[shape::getIndexOffset((left + right) / 2, xShapeInfo)];
|
|
|
|
Y vtmp;
|
|
|
|
{
|
|
/* PARTITION PART */
|
|
while (i <= j) {
|
|
if (descending) {
|
|
while (key[shape::getIndexOffset(i, xShapeInfo)] > pivot)
|
|
i++;
|
|
while (key[shape::getIndexOffset(j, xShapeInfo)] < pivot)
|
|
j--;
|
|
if (i <= j) {
|
|
ktmp = key[shape::getIndexOffset(i, xShapeInfo)];
|
|
key[shape::getIndexOffset(i, xShapeInfo)] = key[shape::getIndexOffset(j, xShapeInfo)];
|
|
key[shape::getIndexOffset(j, xShapeInfo)] = ktmp;
|
|
|
|
vtmp = values[shape::getIndexOffset(i, yShapeInfo)];
|
|
values[shape::getIndexOffset(i, yShapeInfo)] = values[shape::getIndexOffset(j, yShapeInfo)];
|
|
values[shape::getIndexOffset(j, yShapeInfo)] = vtmp;
|
|
|
|
i++;
|
|
j--;
|
|
}
|
|
} else {
|
|
while (key[shape::getIndexOffset(i, xShapeInfo)] < pivot)
|
|
i++;
|
|
while (key[shape::getIndexOffset(j, xShapeInfo)] > pivot)
|
|
j--;
|
|
if (i <= j) {
|
|
ktmp = key[shape::getIndexOffset(i, xShapeInfo)];
|
|
key[shape::getIndexOffset(i, xShapeInfo)] = key[shape::getIndexOffset(j, xShapeInfo)];
|
|
key[shape::getIndexOffset(j, xShapeInfo)] = ktmp;
|
|
|
|
vtmp = values[shape::getIndexOffset(i, yShapeInfo)];
|
|
values[shape::getIndexOffset(i, yShapeInfo)] = values[shape::getIndexOffset(j, yShapeInfo)];
|
|
values[shape::getIndexOffset(j, yShapeInfo)] = vtmp;
|
|
|
|
i++;
|
|
j--;
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
//
|
|
|
|
if ( ((right-left)<cutoff) ){
|
|
if (left < j){ quickSort_parallel_internal_key(key, xShapeInfo, values, yShapeInfo, left, j, cutoff, descending); }
|
|
if (i < right){ quickSort_parallel_internal_key(key, xShapeInfo, values, yShapeInfo, i, right, cutoff, descending); }
|
|
|
|
}else{
|
|
PRAGMA_OMP_TASK
|
|
{ quickSort_parallel_internal_key(key, xShapeInfo, values, yShapeInfo, left, j, cutoff, descending); }
|
|
PRAGMA_OMP_TASK
|
|
{ quickSort_parallel_internal_key(key, xShapeInfo, values, yShapeInfo, i, right, cutoff, descending); }
|
|
}
|
|
}
|
|
|
|
|
|
template <typename X, typename Y>
|
|
void quickSort_parallel_internal_value(X* key, Nd4jLong const* xShapeInfo, Y* value, Nd4jLong const* yShapeInfo, int left, int right, int cutoff, bool descending) {
|
|
int i = left, j = right;
|
|
X ktmp;
|
|
Y pivot = value[shape::getIndexOffset((left + right) / 2, yShapeInfo)];
|
|
|
|
Y vtmp;
|
|
|
|
{
|
|
/* PARTITION PART */
|
|
while (i <= j) {
|
|
if (descending) {
|
|
while (value[shape::getIndexOffset(i, yShapeInfo)] > pivot)
|
|
i++;
|
|
while (value[shape::getIndexOffset(j, yShapeInfo)] < pivot)
|
|
j--;
|
|
if (i <= j) {
|
|
ktmp = key[shape::getIndexOffset(i, xShapeInfo)];
|
|
key[shape::getIndexOffset(i, xShapeInfo)] = key[shape::getIndexOffset(j, xShapeInfo)];
|
|
key[shape::getIndexOffset(j, xShapeInfo)] = ktmp;
|
|
|
|
vtmp = value[shape::getIndexOffset(i, yShapeInfo)];
|
|
value[shape::getIndexOffset(i, yShapeInfo)] = value[shape::getIndexOffset(j, yShapeInfo)];
|
|
value[shape::getIndexOffset(j, yShapeInfo)] = vtmp;
|
|
|
|
i++;
|
|
j--;
|
|
}
|
|
} else {
|
|
while (value[shape::getIndexOffset(i, yShapeInfo)] < pivot)
|
|
i++;
|
|
while (value[shape::getIndexOffset(j, yShapeInfo)] > pivot)
|
|
j--;
|
|
if (i <= j) {
|
|
ktmp = key[shape::getIndexOffset(i, xShapeInfo)];
|
|
key[shape::getIndexOffset(i, xShapeInfo)] = key[shape::getIndexOffset(j, xShapeInfo)];
|
|
key[shape::getIndexOffset(j, xShapeInfo)] = ktmp;
|
|
|
|
vtmp = value[shape::getIndexOffset(i, yShapeInfo)];
|
|
value[shape::getIndexOffset(i, yShapeInfo)] = value[shape::getIndexOffset(j, yShapeInfo)];
|
|
value[shape::getIndexOffset(j, yShapeInfo)] = vtmp;
|
|
|
|
i++;
|
|
j--;
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
//
|
|
|
|
if ( ((right-left)<cutoff) ){
|
|
if (left < j){ quickSort_parallel_internal_value(key, xShapeInfo, value, yShapeInfo, left, j, cutoff, descending); }
|
|
if (i < right){ quickSort_parallel_internal_value(key, xShapeInfo, value, yShapeInfo, i, right, cutoff, descending); }
|
|
|
|
}else{
|
|
PRAGMA_OMP_TASK
|
|
{ quickSort_parallel_internal_value(key, xShapeInfo, value, yShapeInfo, left, j, cutoff, descending); }
|
|
PRAGMA_OMP_TASK
|
|
{ quickSort_parallel_internal_value(key, xShapeInfo, value, yShapeInfo, i, right, cutoff, descending); }
|
|
}
|
|
}
|
|
|
|
|
|
template <typename X, typename Y>
|
|
static void quickSort_parallel_key(void *varray, Nd4jLong const* xShapeInfo, void *yarray, Nd4jLong const* yShapeInfo, Nd4jLong lenArray, int numThreads, bool descending){
|
|
auto array = reinterpret_cast<X *>(varray);
|
|
auto values = reinterpret_cast<Y *>(yarray);
|
|
int cutoff = 1000;
|
|
|
|
PRAGMA_OMP_PARALLEL_THREADS(numThreads)
|
|
{
|
|
PRAGMA_OMP_SINGLE_ARGS(nowait)
|
|
{
|
|
quickSort_parallel_internal_key(array, xShapeInfo, values, yShapeInfo, 0, lenArray-1, cutoff, descending);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename X, typename Y>
|
|
static void quickSort_parallel_value(void *varray, Nd4jLong const* xShapeInfo, void *yarray, Nd4jLong const* yShapeInfo, Nd4jLong lenArray, int numThreads, bool descending){
|
|
auto array = reinterpret_cast<X *>(varray);
|
|
auto values = reinterpret_cast<Y *>(yarray);
|
|
int cutoff = 1000;
|
|
|
|
PRAGMA_OMP_PARALLEL_THREADS(numThreads)
|
|
{
|
|
PRAGMA_OMP_SINGLE_ARGS(nowait)
|
|
{
|
|
quickSort_parallel_internal_value(array, xShapeInfo, values, yShapeInfo, 0, lenArray-1, cutoff, descending);
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename X, typename Y>
|
|
void DoubleMethods<X,Y>::sortByKey(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, bool descending) {
|
|
quickSort_parallel_key<X,Y>(vx, xShapeInfo, vy, yShapeInfo, shape::length(xShapeInfo), omp_get_max_threads(), descending);
|
|
}
|
|
|
|
template <typename X, typename Y>
|
|
void DoubleMethods<X,Y>::sortByValue(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, bool descending) {
|
|
quickSort_parallel_value<X,Y>(vx, xShapeInfo, vy, yShapeInfo, shape::length(xShapeInfo), omp_get_max_threads(), descending);
|
|
}
|
|
|
|
template <typename X, typename Y>
|
|
void DoubleMethods<X,Y>::sortTadByKey(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int *dimension, int dimensionLength, bool descending) {
|
|
auto x = reinterpret_cast<X*>(vx);
|
|
auto y = reinterpret_cast<Y*>(vy);
|
|
|
|
auto packX = ConstantTadHelper::getInstance().tadForDimensions(xShapeInfo, dimension, dimensionLength);
|
|
auto packY = ConstantTadHelper::getInstance().tadForDimensions(yShapeInfo, dimension, dimensionLength);
|
|
|
|
auto xLength = shape::length(xShapeInfo);
|
|
auto xTadLength = shape::length(packX.primaryShapeInfo());
|
|
auto numTads = packX.numberOfTads();
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto r = start; r < stop; r++) {
|
|
auto dx = x + packX.primaryOffsets()[r];
|
|
auto dy = y + packY.primaryOffsets()[r];
|
|
|
|
quickSort_parallel_key<X, Y>(dx, packX.primaryShapeInfo(), dy, packY.primaryShapeInfo(), xTadLength, 1, descending);
|
|
}
|
|
};
|
|
|
|
samediff::Threads::parallel_tad(func, 0, numTads);
|
|
}
|
|
|
|
template <typename X, typename Y>
|
|
void DoubleMethods<X,Y>::sortTadByValue(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int *dimension, int dimensionLength, bool descending) {
|
|
auto x = reinterpret_cast<X*>(vx);
|
|
auto y = reinterpret_cast<Y*>(vy);
|
|
|
|
auto packX = ConstantTadHelper::getInstance().tadForDimensions(xShapeInfo, dimension, dimensionLength);
|
|
auto packY = ConstantTadHelper::getInstance().tadForDimensions(yShapeInfo, dimension, dimensionLength);
|
|
|
|
auto xLength = shape::length(xShapeInfo);
|
|
auto xTadLength = shape::length(packX.primaryShapeInfo());
|
|
auto numTads = packX.numberOfTads();
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto r = start; r < stop; r++) {
|
|
auto dx = x + packX.primaryOffsets()[r];
|
|
auto dy = y + packY.primaryOffsets()[r];
|
|
|
|
quickSort_parallel_value<X, Y>(dx, packX.primaryShapeInfo(), dy, packY.primaryShapeInfo(), xTadLength, 1, descending);
|
|
}
|
|
};
|
|
|
|
samediff::Threads::parallel_tad(func, 0, numTads);
|
|
}
|
|
}
|
|
|