290 lines
13 KiB
C++
290 lines
13 KiB
C++
/*******************************************************************************
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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 Yurii Shyrma (iuriish@yahoo.com), created on 14.03.2019
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//
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#include <helpers/Loops.h>
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using namespace simdOps;
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//////////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template <typename OpType>
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void nd4j::IndexReductionLoops<X,Z>::loopIndexReduce(X* x, Nd4jLong* xShapeInfo,
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Z* z, Nd4jLong* zShapeInfo,
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Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets,
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X* extraParams) {
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nd4j::LoopKind::Kind kindOfLoop = nd4j::LoopKind::deduceKindOfLoopTadXZ(xShapeInfo, zShapeInfo, tadShapeInfo);
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if(kindOfLoop == nd4j::LoopKind::SMALLARR2DX)
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kindOfLoop = nd4j::LoopKind::EWSNONZERO;
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const Nd4jLong zLen = shape::length(zShapeInfo);
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const Nd4jLong tadLen = shape::length(tadShapeInfo);
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const uint tadEws = shape::elementWiseStride(tadShapeInfo);
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const uint zEws = shape::elementWiseStride(zShapeInfo);
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const Nd4jLong* tadShape = shape::shapeOf(const_cast<Nd4jLong*>(tadShapeInfo));
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const Nd4jLong* tadStride = shape::stride(const_cast<Nd4jLong*>(tadShapeInfo));
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int tadsPerThread = zLen / TAD_THRESHOLD;
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int numThreads = nd4j::math::nd4j_max<int>(1, tadsPerThread);
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numThreads = nd4j::math::nd4j_min<int>(numThreads, omp_get_max_threads());
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switch (kindOfLoop) {
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//*********************************************//
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case nd4j::LoopKind::EWS1: {
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint j = 0; j < tadLen; j++) {
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functions::indexreduce::IndexValue<X> comp(tad[j], j);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::EWSNONZERO: {
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint j = 0; j < tadLen; j++) {
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functions::indexreduce::IndexValue<X> comp(tad[j * tadEws], j);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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z[i * zEws] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::RANK1: {
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint i0 = 0; i0 < tadLen; ++i0) {
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functions::indexreduce::IndexValue<X> comp(tad[i0 * tadStride[0]], i0);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::RANK2: {
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Nd4jLong newStride[2];
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shape::updateStrides(2, tadShape, newStride, 'c');
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; ++i) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
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for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
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const auto tadOffset = i0 * tadStride[0] + i1 * tadStride[1];
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const auto tadIndex = i0 * newStride[0] + i1;
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], tadIndex);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::RANK3: {
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Nd4jLong newStride[3];
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shape::updateStrides(3, tadShape, newStride, 'c');
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; ++i) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
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for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
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for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
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const auto tadOffset = i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2];
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const auto tadIndex = i0 * newStride[0] + i1 * newStride[1] + i2;
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], tadIndex);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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}
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::RANK4: {
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Nd4jLong newStride[4];
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shape::updateStrides(4, tadShape, newStride, 'c');
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; ++i) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
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for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
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for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
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for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
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const auto tadOffset = i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2] + i3 * tadStride[3];
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const auto tadIndex = i0 * newStride[0] + i1 * newStride[1] + i2 * newStride[2] + i3;
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], tadIndex);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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}
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}
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::RANK5: {
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Nd4jLong newStride[5];
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shape::updateStrides(5, tadShape, newStride, 'c');
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; ++i) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
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for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
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for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
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for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
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for (uint i4 = 0; i4 < tadShape[4]; ++i4) {
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const auto tadOffset = i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2] + i3 * tadStride[3] + i4 * tadStride[4];
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const auto tadIndex = i0 * newStride[0] + i1 * newStride[1] + i2 * newStride[2] + i3 * newStride[3] + i4;
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], tadIndex);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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}
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}
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}
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}
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z[i] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::X_EWSNONZERO: {
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uint castZShapeInfo[MAX_RANK];
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const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint j = 0; j < tadLen; j++) {
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functions::indexreduce::IndexValue<X> comp(tad[j * tadEws], j);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, zLen, canCastZ);
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z[zOffset] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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case nd4j::LoopKind::Z_EWSNONZERO: {
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uint castTadShapeInfo[MAX_RANK];
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const bool canCastTad = nd4j::DataTypeUtils::castShapeInfo<uint>(tadShapeInfo, castTadShapeInfo);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint j = 0; j < tadLen; j++) {
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auto tadOffset = shape::indexOffset(j, tadShapeInfo, castTadShapeInfo, tadLen, canCastTad);
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], j);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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z[i * zEws] = (Z) indexValue.index;
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}
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}
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break;
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//*********************************************//
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default: {
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uint castTadShapeInfo[MAX_RANK];
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uint castZShapeInfo[MAX_RANK];
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const bool canCastTad = nd4j::DataTypeUtils::castShapeInfo<uint>(tadShapeInfo, castTadShapeInfo);
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const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
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for (uint i = 0; i < zLen; i++) {
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auto tad = const_cast<X*>(x) + tadOffsets[i];
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auto indexValue = OpType::startingIndexValue(tad);
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for (uint j = 0; j < tadLen; j++) {
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auto tadOffset = shape::indexOffset(j, tadShapeInfo, castTadShapeInfo, tadLen, canCastTad);
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functions::indexreduce::IndexValue<X> comp(tad[tadOffset], j);
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indexValue = OpType::update(indexValue, comp, extraParams);
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}
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auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, zLen, canCastZ);
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z[zOffset] = (Z) indexValue.index;
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}
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}
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}
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}
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template <typename X, typename Y>
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void nd4j::IndexReductionLoops<X, Y>::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* vz, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams) {
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auto x = reinterpret_cast<X *>(vx);
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auto z = reinterpret_cast<Y *>(vz);
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auto extraParams = reinterpret_cast<X *>(vextraParams);
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DISPATCH_BY_OPNUM_TT(loopIndexReduce, PARAMS(x, xShapeInfo, z, zShapeInfo, tadShapeInfo, tadOffsets, extraParams), INDEX_REDUCE_OPS);
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}
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BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES, INDEXING_TYPES); |