141 lines
5.0 KiB
Plaintext
141 lines
5.0 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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// @author Yurii Shyrma, created on 28.11.2018
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//
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#include <ops/specials_cuda.h>
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y>
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__global__ void bitonicSortStepKernelKey(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int j, int k, int length, bool descending) {
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auto x = static_cast<X*>(vx);
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auto y = static_cast<Y*>(vy);
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unsigned int i, ixj; /* Sorting partners: i and ixj */
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i = threadIdx.x + blockDim.x * blockIdx.x;
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__shared__ Nd4jLong xLength;
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if (threadIdx.x == 0)
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xLength = shape::length(xShapeInfo);
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__syncthreads();
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if (i >= length)
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return;
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ixj = i^j;
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/* The threads with the lowest ids sort the array. */
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if ((ixj)>i) {
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int posI = shape::getIndexOffset(i, xShapeInfo);
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int posIXJ = shape::getIndexOffset(ixj, xShapeInfo);
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if ((i&k)==0) {
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/* Sort ascending */
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if (!descending == (x[posI]>x[posIXJ])) {
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/* exchange(i,ixj); */
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X temp = x[posI];
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x[posI] = x[posIXJ];
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x[posIXJ] = temp;
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Y ytemp = y[posI];
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y[posI] = y[posIXJ];
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y[posIXJ] = ytemp;
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}
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} else if ((i&k)!=0) {
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/* Sort descending */
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if (!descending == (x[posI]<x[posIXJ])) {
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/* exchange(i,ixj); */
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X temp = x[posI];
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x[posI] = x[posIXJ];
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x[posIXJ] = temp;
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Y ytemp = y[posI];
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y[posI] = y[posIXJ];
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y[posIXJ] = ytemp;
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}
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}
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}
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}
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//////////////////////////////////////////////////////////////////////////
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template<typename T>
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__global__ void bitonicSortStepKernel(void *vx, Nd4jLong const* xShapeInfo, int j, int k, int length, bool descending) {
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auto x = static_cast<T*>(vx);
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unsigned int i, ixj; /* Sorting partners: i and ixj */
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i = threadIdx.x + blockDim.x * blockIdx.x;
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__shared__ Nd4jLong xLength;
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if (threadIdx.x == 0)
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xLength = shape::length(xShapeInfo);
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__syncthreads();
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if (i >= length)
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return;
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ixj = i^j;
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/* The threads with the lowest ids sort the array. */
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if ((ixj)>i) {
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int posI = shape::getIndexOffset(i, xShapeInfo);
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int posIXJ = shape::getIndexOffset(ixj, xShapeInfo);
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if ((i&k)==0) {
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/* Sort ascending */
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if (!descending == (x[posI]>x[posIXJ])) {
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/* exchange(i,ixj); */
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T temp = x[posI];
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x[posI] = x[posIXJ];
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x[posIXJ] = temp;
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}
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} else if ((i&k)!=0) {
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/* Sort descending */
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if (!descending == (x[posI]<x[posIXJ])) {
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/* exchange(i,ixj); */
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T temp = x[posI];
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x[posI] = x[posIXJ];
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x[posIXJ] = temp;
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}
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}
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}
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}
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//////////////////////////////////////////////////////////////////////////
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template<typename T>
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__host__ void bitonicSortStepGeneric(dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, int j, int k, int length, bool descending) {
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bitonicSortStepKernel<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, xShapeInfo, j, k, length, descending);
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y>
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__host__ void bitonicSortStepGenericKey(dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int j, int k, int length, bool descending) {
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bitonicSortStepKernelKey<X,Y><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, xShapeInfo, vy, yShapeInfo, j, k, length, descending);
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}
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BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT bitonicSortStepGeneric, (dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, int j, int k, int length, bool descending), LIBND4J_TYPES);
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BUILD_DOUBLE_TEMPLATE(template void ND4J_EXPORT bitonicSortStepGenericKey, (dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int j, int k, int length, bool descending), LIBND4J_TYPES, LIBND4J_TYPES);
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