1471 lines
68 KiB
C
1471 lines
68 KiB
C
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/*******************************************************************************
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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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#ifndef LIBND4J_LOOPS_H
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#define LIBND4J_LOOPS_H
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#include <functional>
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#include <pointercast.h>
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#include <shape.h>
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#include <LoopKind.h>
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#include <OmpLaunchHelper.h>
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#include <DataTypeUtils.h>
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#include <ops.h>
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#include <indexreduce.h>
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#include <helpers/ConstantTadHelper.h>
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#include <openmp_pragmas.h>
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namespace nd4j {
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template <typename X, typename Z, typename E>
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class ND4J_EXPORT ReductionLoops {
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protected:
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public:
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template <typename OpType>
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static FORCEINLINE void loopReduce(X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, E* extraParams);
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};
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template <typename X, typename Z>
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class ReductionFloatLoops : public ReductionLoops<X,Z,Z> {
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public:
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static void wrapper(const int opNum, X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, Z* extraParams);
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template <typename OpType>
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static void innerloopReduce(X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, Z* extraParams);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT ReductionBoolLoops : public ReductionLoops<X,Z,X> {
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public:
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static void wrapper(const int opNum, X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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template <typename OpType>
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static void innerloopReduce(X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT ReductionLongLoops : public ReductionLoops<X,Z,X> {
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public:
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static void wrapper(const int opNum, X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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template <typename OpType>
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static void innerloopReduce(X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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};
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template <typename X>
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class ND4J_EXPORT ReductionSameLoops : public ReductionLoops<X,X,X> {
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public:
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static void wrapper(const int opNum, X* x, Nd4jLong* xShapeInfo, X* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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template <typename OpType>
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static void innerloopReduce(X* x, Nd4jLong* xShapeInfo, X* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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};
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template <typename X>
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class ND4J_EXPORT IndexReductionLoops {
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private:
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public:
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static void wrapIndexReduce(const int opNum, void* x, Nd4jLong* xShapeInfo, Nd4jLong* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* extraParams);
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template <typename OpType>
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static void loopIndexReduce(X* x, Nd4jLong* xShapeInfo, Nd4jLong* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, X* extraParams);
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};
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template <typename X, typename Z, typename E>
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class ND4J_EXPORT TransformLoops {
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public:
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template<typename OpType, bool doParallel>
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static FORCEINLINE void loopTransform(X* x, Nd4jLong* xShapeInfo, Z* z, Nd4jLong* zShapeInfo, E* extraParams);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT Reduction3Loops {
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public:
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template <typename OpType>
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static FORCEINLINE void loopReduce3(X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams);
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template <typename OpType>
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static FORCEINLINE void loopReduce3All(X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* xTadShapeInfo, Nd4jLong* xTadOffsets, Nd4jLong* yTadShapeInfo, Nd4jLong* yTadOffsets, Z* extraParams);
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static void wrapper(const int opNum, X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams);
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static void wrapperAll(const int opNum, X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* xTadShapeInfo, Nd4jLong* xTadOffsets, Nd4jLong* yTadShapeInfo, Nd4jLong* yTadOffsets, Z* extraParams);
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template <typename OpType>
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static void innerloopReduce3(X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams);
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template <typename OpType>
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static void innerloopReduce3All(X* x, Nd4jLong* xShapeInfo, X* y, Nd4jLong* yShapeInfo, Z* z, Nd4jLong* zShapeInfo, Nd4jLong* xTadShapeInfo, Nd4jLong* xTadOffsets, Nd4jLong* yTadShapeInfo, Nd4jLong* yTadOffsets, Z* extraParams);
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};
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/*
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//////////////////////////////////////////////////////////////////////////////
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template<typename X, typename Y, typename Z>
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void Loops::loopXYZ(const X* x, const Nd4jLong* xShapeInfo,
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const Y* y, const Nd4jLong* yShapeInfo,
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Z* z, const Nd4jLong* zShapeInfo,
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Z* extraParams,
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std::function<Z(X,Y,Z*)> op) {
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const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopXYZ(xShapeInfo, yShapeInfo, zShapeInfo);
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const Nd4jLong* xShape = shape::shapeOf(xShapeInfo);
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const Nd4jLong* xStride = shape::stride(xShapeInfo);
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const Nd4jLong* yStride = shape::stride(yShapeInfo);
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const Nd4jLong* zStride = shape::stride(zShapeInfo);
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const Nd4jLong len = shape::length(xShapeInfo);
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OmpLaunchHelper threadsInfo(len);
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switch (kindOfLoop) {
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case LoopKind::EWS1: {
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PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
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{
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const auto threadNum = omp_get_thread_num();
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const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
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const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
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const auto xi = x + threadOffset;
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const auto yi = y + threadOffset;
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auto zi = z + threadOffset;
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PRAGMA_OMP_SIMD
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for (uint i = 0; i < lenPerThread; i++)
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zi[i] = op(xi[i], yi[i], extraParams);
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}
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}
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break;
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case LoopKind::EWSNONZERO: {
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const uint xEws = shape::elementWiseStride(xShapeInfo);
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const uint yEws = shape::elementWiseStride(yShapeInfo);
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const uint zEws = shape::elementWiseStride(zShapeInfo);
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PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
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{
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const auto threadNum = omp_get_thread_num();
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const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
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const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
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const auto xi = x + threadOffset * xEws;
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const auto yi = y + threadOffset * yEws;
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auto zi = z + threadOffset * zEws;
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PRAGMA_OMP_SIMD
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for (uint i = 0; i < lenPerThread; i++)
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zi[i*zEws] = op(xi[i*xEws], yi[i*yEws], extraParams);
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}
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}
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break;
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case LoopKind::RANK1: {
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PRAGMA_OMP_PARALLEL_FOR
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for (uint i0 = 0; i0 < len; ++i0)
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z[i0 * zStride[0]] = op(x[i0 * xStride[0]], y[i0 * yStride[0]], extraParams);
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}
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break;
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case LoopKind::RANK2: {
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PRAGMA_OMP_PARALLEL_FOR_SIMD
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for (uint i0 = 0; i0 < xShape[0]; ++i0)
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for (uint i1 = 0; i1 < xShape[1]; ++i1)
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z[i0 * zStride[0] + i1 * zStride[1]] = op(x[i0 * xStride[0] + i1 * xStride[1]], y[i0 * yStride[0] + i1 * yStride[1]], extraParams);
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}
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break;
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case LoopKind::RANK3: {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(2)
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for (uint i0 = 0; i0 < xShape[0]; ++i0)
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for (uint i1 = 0; i1 < xShape[1]; ++i1)
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for (uint i2 = 0; i2 < xShape[2]; ++i2)
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z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]], extraParams);
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}
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break;
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case LoopKind::RANK4: {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(3)
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for (uint i0 = 0; i0 < xShape[0]; ++i0)
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for (uint i1 = 0; i1 < xShape[1]; ++i1)
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for (uint i2 = 0; i2 < xShape[2]; ++i2)
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for (uint i3 = 0; i3 < xShape[3]; ++i3)
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z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]+i3*zStride[3]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]+i3*xStride[3]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]+i3*yStride[3]], extraParams);
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}
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break;
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case LoopKind::RANK5: {
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PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(4)
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for (uint i0 = 0; i0 < xShape[0]; ++i0)
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for (uint i1 = 0; i1 < xShape[1]; ++i1)
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for (uint i2 = 0; i2 < xShape[2]; ++i2)
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for (uint i3 = 0; i3 < xShape[3]; ++i3)
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for (uint i4 = 0; i4 < xShape[4]; ++i4)
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z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]+i3*zStride[3]+i4*zStride[4]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]+i3*xStride[3]+i4*xStride[4]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]+i3*yStride[3]+i4*yStride[4]], extraParams);
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}
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break;
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default: {
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uint xShapeInfoCast[MAX_RANK];
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uint yShapeInfoCast[MAX_RANK];
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uint zShapeInfoCast[MAX_RANK];
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bool canCastX = DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
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bool canCastY = DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
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bool canCastZ = DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
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PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
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{
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auto threadNum = omp_get_thread_num();
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auto threadOffset = threadsInfo.getThreadOffset(threadNum);
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auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
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PRAGMA_OMP_SIMD
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for (uint i = 0; i < lenPerThread; i++) {
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auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, xShapeInfoCast, len, canCastX);
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auto yOffset = shape::indexOffset(i + threadOffset, yShapeInfo, yShapeInfoCast, len, canCastY);
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auto zOffset = shape::indexOffset(i + threadOffset, zShapeInfo, zShapeInfoCast, len, canCastZ);
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z[zOffset] = op(x[xOffset], y[yOffset], 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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*/
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//////////////////////////////////////////////////////////////////////////////
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template<typename X, typename Z, typename E>
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template <typename OpType>
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void nd4j::ReductionLoops<X, Z, E>::loopReduce(X* x, Nd4jLong* xShapeInfo,
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Z* z, Nd4jLong* zShapeInfo,
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Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets,
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E* extraParams) {
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const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXZ(xShapeInfo, zShapeInfo, tadShapeInfo);
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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(tadShapeInfo);
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const Nd4jLong* tadStride = shape::stride(tadShapeInfo);
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int numThreads = OmpLaunchHelper::tadThreads(tadLen, zLen);
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switch (kindOfLoop) {
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//*********************************************//
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// case LoopKind::SMALLARR2DX: {
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// shape::printShapeInfoLinear(xShapeInfo);
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// shape::printShapeInfoLinear(zShapeInfo);
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// const auto xLen = zLen * tadLen;
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// for (uint i = 0; i < xLen; ++i) {
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// const auto zOffset = shape::subArrayOffset(i, xShapeInfo, zShapeInfo, dimsToExclude, dimsLen);
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// const uint tadInd = (i / tadEws) % tadLen;
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// auto startVal = tadInd ? z[zOffset] : static_cast<Z>(OpType::startingValue(x));
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// z[zOffset] = OpType::update(startVal, OpType::op(x[i], extraParams), extraParams);
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// if(tadInd == tadLen - 1)
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// z[zOffset] = OpType::postProcess(z[zOffset], tadLen, extraParams);
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// printf("%u - %lld\n", i, zOffset);
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// }
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// }
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case LoopKind::SMALLARR2DX: {
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const auto uTadLen = static_cast<uint>(tadLen);
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const auto uZLenMinusOne = static_cast<uint>(zLen - 1);
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const auto xLen = static_cast<uint>(zLen * uTadLen);
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const auto sv = static_cast<Z>(OpType::startingValue(x));
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for (uint i = 0; i <= uZLenMinusOne; i++)
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z[i] = OpType::startingValue(x);
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uint zOffset = 0;
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for (uint i = 0; i < xLen; ++i) {
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z[zOffset] = OpType::update(z[zOffset], OpType::op(x[i], extraParams), extraParams);
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zOffset = zOffset == uZLenMinusOne ? 0 : zOffset + 1;
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}
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for (uint i = 0; i <= uZLenMinusOne; i++)
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z[i] = OpType::postProcess(z[i], tadLen, extraParams);
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}
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break;
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//*********************************************//
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case 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 = x + tadOffsets[i];
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auto start = OpType::startingValue(tad);
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for (uint j = 0; j < tadLen; j++)
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start = OpType::update(start, OpType::op(tad[j], extraParams), extraParams);
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z[i] = OpType::postProcess(start, tadLen, extraParams);
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}
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}
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break;
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//*********************************************//
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case LoopKind::EWSNONZERO: {
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||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; j++)
|
||
|
start = OpType::update(start, OpType::op(tad[j * tadEws], extraParams), extraParams);
|
||
|
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadLen; ++i0)
|
||
|
start = OpType::update(start, OpType::op(tad[i0 * tadStride[0]], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK2: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0)
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1)
|
||
|
start = OpType::update(start, OpType::op(tad[i0*tadStride[0] + i1*tadStride[1]], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK3: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0)
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1)
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2)
|
||
|
start = OpType::update(start, OpType::op(tad[i0*tadStride[0] + i1*tadStride[1] + i2*tadStride[2]], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK4: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0)
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1)
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2)
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3)
|
||
|
start = OpType::update(start, OpType::op(tad[i0*tadStride[0] + i1*tadStride[1] + i2*tadStride[2] + i3*tadStride[3]], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK5: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0)
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1)
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2)
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3)
|
||
|
for (uint i4 = 0; i4 < tadShape[4]; ++i4)
|
||
|
start = OpType::update(start, OpType::op(tad[i0*tadStride[0] + i1*tadStride[1] + i2*tadStride[2] + i3*tadStride[3] + i4*tadStride[4] ], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::X_EWSNONZERO: {
|
||
|
uint castZShapeInfo[MAX_RANK];
|
||
|
const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; j++)
|
||
|
start = OpType::update(start, OpType::op(tad[j * tadEws], extraParams), extraParams);
|
||
|
|
||
|
auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, zLen, canCastZ);
|
||
|
z[zOffset] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::Z_EWSNONZERO: {
|
||
|
uint castTadShapeInfo[MAX_RANK];
|
||
|
const bool canCastTad = nd4j::DataTypeUtils::castShapeInfo<uint>(tadShapeInfo, castTadShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; j++) {
|
||
|
auto tadOffset = shape::indexOffset(j, tadShapeInfo, castTadShapeInfo, tadLen, canCastTad);
|
||
|
start = OpType::update(start, OpType::op(tad[tadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
// default: {
|
||
|
// uint castTadShapeInfo[MAX_RANK];
|
||
|
// uint castZShapeInfo[MAX_RANK];
|
||
|
// const bool canCastTad = nd4j::DataTypeUtils::castShapeInfo<uint>(tadShapeInfo, castTadShapeInfo);
|
||
|
// const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
|
||
|
|
||
|
// PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
// for (uint i = 0; i < zLen; i++) {
|
||
|
// auto tad = x + tadOffsets[i];
|
||
|
// auto start = OpType::startingValue(tad);
|
||
|
|
||
|
// for (uint j = 0; j < tadLen; j++) {
|
||
|
// auto tadOffset = shape::indexOffset(j, tadShapeInfo, castTadShapeInfo, tadLen, canCastTad);
|
||
|
// start = OpType::update(start, OpType::op(tad[tadOffset], extraParams), extraParams);
|
||
|
// }
|
||
|
|
||
|
// auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, zLen, canCastZ);
|
||
|
// z[zOffset] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
// }
|
||
|
// }
|
||
|
|
||
|
//*********************************************//
|
||
|
default: {
|
||
|
|
||
|
Nd4jLong* innertadOffsets = new Nd4jLong[tadLen];
|
||
|
shape::calcOffsets(tadShapeInfo, innertadOffsets);
|
||
|
|
||
|
uint castZShapeInfo[MAX_RANK];
|
||
|
const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(numThreads)
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
auto tad = x + tadOffsets[i];
|
||
|
auto start = OpType::startingValue(tad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; j++)
|
||
|
start = OpType::update(start, OpType::op(tad[innertadOffsets[j]], extraParams), extraParams);
|
||
|
|
||
|
auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, zLen, canCastZ);
|
||
|
z[zOffset] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
|
||
|
delete []innertadOffsets;
|
||
|
}
|
||
|
|
||
|
//*********************************************//
|
||
|
// default: {
|
||
|
|
||
|
// Nd4jLong* innertadOffsets = new Nd4jLong[tadLen];
|
||
|
// shape::calcOffsets(tadShapeInfo, innertadOffsets);
|
||
|
|
||
|
// const int zRankMinusOne = shape::rank(zShapeInfo) - 1;
|
||
|
|
||
|
// Nd4jLong* offsetPerDimZ = new Nd4jLong[zRankMinusOne];
|
||
|
// int* idxZ = new int[zRankMinusOne];
|
||
|
|
||
|
// memset(idxZ, 0, sizeof(Nd4jLong) * zRankMinusOne);
|
||
|
|
||
|
// const Nd4jLong* shapeZ = shape::shapeOf(zShapeInfo);
|
||
|
// const Nd4jLong* strideZ = shape::stride(zShapeInfo);
|
||
|
|
||
|
// PRAGMA_OMP_SIMD
|
||
|
// for (int k = 0; k < zRankMinusOne; ++k)
|
||
|
// offsetPerDimZ[k] = (shapeZ[k] - 1) * strideZ[k];
|
||
|
|
||
|
// int dimZ = zRankMinusOne, lZ = 1;
|
||
|
// Nd4jLong initZ = 0, zOffset = 0, e = 1;
|
||
|
|
||
|
// // first iteration
|
||
|
// auto tad = x + tadOffsets[0];
|
||
|
// auto start = OpType::startingValue(tad);
|
||
|
// for (uint j = 0; j < tadLen; j++)
|
||
|
// start = OpType::update(start, OpType::op(tad[innertadOffsets[j]], extraParams), extraParams);
|
||
|
// z[0] = OpType::postProcess(start, OpType::startingValue(x), extraParams);
|
||
|
|
||
|
// // rest iterations
|
||
|
// while (dimZ >= 0) {
|
||
|
|
||
|
// if(shapeZ[dimZ] == 1) { --dimZ; continue; } // ignore dimensions equal to unity
|
||
|
// if(dimZ == zRankMinusOne) { // last dimension
|
||
|
// if(lZ < shapeZ[dimZ]) { zOffset += strideZ[dimZ]; ++lZ;}
|
||
|
// else { lZ = 1; --dimZ; continue; }
|
||
|
// }
|
||
|
// else if(idxZ[dimZ] < shapeZ[dimZ] - 1) { initZ += strideZ[dimZ]; zOffset = initZ; ++idxZ[dimZ]; dimZ = zRankMinusOne; }
|
||
|
// else { initZ -= offsetPerDimZ[dimZ]; idxZ[dimZ--] = 0; continue;}
|
||
|
|
||
|
// start = OpType::startingValue(tad);
|
||
|
// tad = x + tadOffsets[e++];
|
||
|
|
||
|
// for (uint j = 0; j < tadLen; j++)
|
||
|
// start = OpType::update(start, OpType::op(tad[innertadOffsets[j]], extraParams), extraParams);
|
||
|
|
||
|
// z[zOffset] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
// }
|
||
|
|
||
|
// delete []innertadOffsets;
|
||
|
// }
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
|
||
|
//////////////////////////////////////////////////////////////////////////////
|
||
|
template <typename X, typename Z, typename E>
|
||
|
template <typename OpType, bool doParallel>
|
||
|
void nd4j::TransformLoops<X,Z,E>::loopTransform(X* x, Nd4jLong* xShapeInfo,
|
||
|
Z* z, Nd4jLong* zShapeInfo,
|
||
|
E* extraParams) {
|
||
|
|
||
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopXZ(xShapeInfo, zShapeInfo);
|
||
|
|
||
|
const Nd4jLong* xShape = shape::shapeOf(const_cast<Nd4jLong*>(xShapeInfo));
|
||
|
const Nd4jLong* xStride = shape::stride(const_cast<Nd4jLong*>(xShapeInfo));
|
||
|
const Nd4jLong* zStride = shape::stride(const_cast<Nd4jLong*>(zShapeInfo));
|
||
|
|
||
|
const Nd4jLong len = shape::length(xShapeInfo);
|
||
|
|
||
|
OmpLaunchHelper threadsInfo(len, doParallel ? -1 : 1);
|
||
|
|
||
|
switch (kindOfLoop) {
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWS1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
||
|
{
|
||
|
const auto threadNum = omp_get_thread_num();
|
||
|
const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
||
|
const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
||
|
|
||
|
const auto xi = x + threadOffset;
|
||
|
const auto zi = z + threadOffset;
|
||
|
|
||
|
PRAGMA_OMP_SIMD
|
||
|
for (uint i = 0; i < lenPerThread; i++)
|
||
|
zi[i] = OpType::op(xi[i], extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWSNONZERO: {
|
||
|
const uint xEws = shape::elementWiseStride(xShapeInfo);
|
||
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
||
|
{
|
||
|
const auto threadNum = omp_get_thread_num();
|
||
|
const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
||
|
const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
||
|
|
||
|
const auto xi = x + threadOffset * xEws;
|
||
|
auto zi = z + threadOffset * zEws;
|
||
|
|
||
|
PRAGMA_OMP_SIMD
|
||
|
for (uint i = 0; i < lenPerThread; i++)
|
||
|
zi[i*zEws] = OpType::op(xi[i*xEws], extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::Z_EWSNONZERO: {
|
||
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
||
|
uint castXShapeInfo[MAX_RANK];
|
||
|
const bool canCastX = nd4j::DataTypeUtils::castShapeInfo<uint>(xShapeInfo, castXShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
||
|
{
|
||
|
const auto threadNum = omp_get_thread_num();
|
||
|
const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
||
|
const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
||
|
|
||
|
auto zi = z + threadOffset * zEws;
|
||
|
|
||
|
if (zEws > 1) {
|
||
|
|
||
|
PRAGMA_OMP_SIMD
|
||
|
for (uint i = 0; i < lenPerThread; i++) {
|
||
|
const auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, castXShapeInfo, len, canCastX);
|
||
|
zi[i * zEws] = OpType::op(x[xOffset], extraParams);
|
||
|
}
|
||
|
} else {
|
||
|
PRAGMA_OMP_SIMD
|
||
|
for (uint i = 0; i < lenPerThread; i++) {
|
||
|
const auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, castXShapeInfo, len, canCastX);
|
||
|
zi[i] = OpType::op(x[xOffset], extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK1: {
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS(threadsInfo._numThreads)
|
||
|
for (uint i0 = 0; i0 < len; ++i0)
|
||
|
z[i0 * zStride[0]] = OpType::op(x[i0 * xStride[0]], extraParams);
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK2: {
|
||
|
auto uXShape0 = static_cast<uint>(xShape[0]);
|
||
|
auto uXShape1 = static_cast<uint>(xShape[1]);
|
||
|
|
||
|
//PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS(threadsInfo._numThreads)
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD
|
||
|
for (uint i0 = 0; i0 < uXShape0; ++i0) {
|
||
|
|
||
|
auto z0 = i0 * zStride[0];
|
||
|
auto x0 = i0 * xStride[0];
|
||
|
for (uint i1 = 0; i1 < uXShape1; ++i1)
|
||
|
z[z0 + i1 * zStride[1]] = OpType::op(x[x0 + i1 * xStride[1]], extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK3: {
|
||
|
auto uXShape0 = static_cast<uint>(xShape[0]);
|
||
|
auto uXShape1 = static_cast<uint>(xShape[1]);
|
||
|
auto uXShape2 = static_cast<uint>(xShape[2]);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS_COLLAPSE(threadsInfo._numThreads, 2)
|
||
|
for (uint i0 = 0; i0 < uXShape0; ++i0)
|
||
|
for (uint i1 = 0; i1 < uXShape1; ++i1) {
|
||
|
|
||
|
auto z0 = i0 * zStride[0] + i1 * zStride[1];
|
||
|
auto x0 = i0 * xStride[0] + i1 * xStride[1];
|
||
|
|
||
|
for (uint i2 = 0; i2 < uXShape2; ++i2)
|
||
|
z[z0 + i2 * zStride[2]] = OpType::op(x[x0 + i2 * xStride[2]], extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK4: {
|
||
|
auto uXShape0 = static_cast<uint>(xShape[0]);
|
||
|
auto uXShape1 = static_cast<uint>(xShape[1]);
|
||
|
auto uXShape2 = static_cast<uint>(xShape[2]);
|
||
|
auto uXShape3 = static_cast<uint>(xShape[3]);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS_COLLAPSE(threadsInfo._numThreads, 2)
|
||
|
for (uint i0 = 0; i0 < uXShape0; ++i0)
|
||
|
for (uint i1 = 0; i1 < uXShape1; ++i1)
|
||
|
for (uint i2 = 0; i2 < uXShape2; ++i2) {
|
||
|
|
||
|
auto x0 = i0 * xStride[0] + i1 * xStride[1] + i2 * xStride[2];
|
||
|
auto z0 = i0 * zStride[0] + i1 * zStride[1] + i2 * zStride[2];
|
||
|
|
||
|
for (uint i3 = 0; i3 < uXShape3; ++i3)
|
||
|
z[z0 + i3 * zStride[3]] = OpType::op(x[x0 + i3 * xStride[3]], extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK5: {
|
||
|
auto uXShape0 = static_cast<uint>(xShape[0]);
|
||
|
auto uXShape1 = static_cast<uint>(xShape[1]);
|
||
|
auto uXShape2 = static_cast<uint>(xShape[2]);
|
||
|
auto uXShape3 = static_cast<uint>(xShape[3]);
|
||
|
auto uXShape4 = static_cast<uint>(xShape[4]);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS_COLLAPSE(threadsInfo._numThreads, 3)
|
||
|
for (uint i0 = 0; i0 < uXShape0; ++i0)
|
||
|
for (uint i1 = 0; i1 < uXShape1; ++i1)
|
||
|
for (uint i2 = 0; i2 < uXShape2; ++i2) {
|
||
|
|
||
|
auto z0 = i0 * zStride[0] + i1 * zStride[1] + i2 * zStride[2];
|
||
|
auto x0 = i0 * xStride[0] + i1 * xStride[1] + i2 * xStride[2];
|
||
|
|
||
|
for (uint i3 = 0; i3 < uXShape3; ++i3) {
|
||
|
|
||
|
auto z1 = z0 + i3 * zStride[3];
|
||
|
auto x1 = x0 + i3 * xStride[3];
|
||
|
|
||
|
for (uint i4 = 0; i4 < uXShape4; ++i4)
|
||
|
z[z1 + i4 * zStride[4]] = OpType::op(x[x1 + i4 * xStride[4]], extraParams);
|
||
|
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
default: {
|
||
|
uint xShapeInfoCast[MAX_RANK];
|
||
|
uint zShapeInfoCast[MAX_RANK];
|
||
|
|
||
|
bool canCastX = DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
||
|
bool canCastZ = DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
||
|
{
|
||
|
auto threadNum = omp_get_thread_num();
|
||
|
auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
||
|
auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
||
|
|
||
|
PRAGMA_OMP_SIMD
|
||
|
for (uint i = 0; i < lenPerThread; i++) {
|
||
|
auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, xShapeInfoCast, len, canCastX);
|
||
|
auto zOffset = shape::indexOffset(i + threadOffset, zShapeInfo, zShapeInfoCast, len, canCastZ);
|
||
|
z[zOffset] = OpType::op(x[xOffset], extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
// default: {
|
||
|
|
||
|
// const int xRankMinusOne = shape::rank(xShapeInfo) - 1;
|
||
|
// const int zRankMinusOne = shape::rank(zShapeInfo) - 1;
|
||
|
|
||
|
// printf("%i %i \n", xRankMinusOne, zRankMinusOne);
|
||
|
|
||
|
// uint* xIdx = new uint[xRankMinusOne + 1];
|
||
|
// uint* zIdx = new uint[zRankMinusOne + 1];
|
||
|
|
||
|
// Nd4jLong* xOffsetPerDim = new Nd4jLong[xRankMinusOne];
|
||
|
// Nd4jLong* zOffsetPerDim = new Nd4jLong[zRankMinusOne];
|
||
|
|
||
|
// memset(xIdx, 0, sizeof(uint) * xRankMinusOne);
|
||
|
// memset(zIdx, 0, sizeof(uint) * zRankMinusOne);
|
||
|
|
||
|
// xIdx[xRankMinusOne] = zIdx[zRankMinusOne] = 1;
|
||
|
|
||
|
// const Nd4jLong* xShape = shape::shapeOf(xShapeInfo);
|
||
|
// const Nd4jLong* zShape = shape::shapeOf(zShapeInfo);
|
||
|
// const Nd4jLong* xStride = shape::stride(xShapeInfo);
|
||
|
// const Nd4jLong* zStride = shape::stride(zShapeInfo);
|
||
|
|
||
|
// PRAGMA_OMP_SIMD
|
||
|
// for (int k = 0; k < xRankMinusOne; ++k)
|
||
|
// xOffsetPerDim[k] = (xShape[k] - 1) * xStride[k];
|
||
|
// PRAGMA_OMP_SIMD
|
||
|
// for (int k = 0; k < zRankMinusOne; ++k)
|
||
|
// zOffsetPerDim[k] = (zShape[k] - 1) * zStride[k];
|
||
|
|
||
|
// Nd4jLong xInit = 0, zInit = 0, xOffset = 0, zOffset = 0;
|
||
|
// int jX = xRankMinusOne, jZ = zRankMinusOne;
|
||
|
|
||
|
// // first iteration
|
||
|
// z[0] = OpType::op(x[0], extraParams);
|
||
|
|
||
|
// // rest iterations
|
||
|
// for (uint i = 1; i < len; i++) {
|
||
|
|
||
|
// while(true) {
|
||
|
// if(xShape[jX] == 1) { --jX; continue; }
|
||
|
// if(jX == xRankMinusOne) {
|
||
|
// if(xIdx[jX] < xShape[jX]) { xOffset += xStride[jX]; ++xIdx[jX]; break; }
|
||
|
// else { xIdx[jX] = 1; --jX; continue; }
|
||
|
// }
|
||
|
// else if(xIdx[jX] < xShape[jX] - 1) { xInit += xStride[jX]; xOffset = xInit; ++xIdx[jX]; jX = xRankMinusOne; break; }
|
||
|
// else { xInit -= xOffsetPerDim[jX]; xIdx[jX--] = 0; continue; }
|
||
|
// }
|
||
|
|
||
|
// while(true) {
|
||
|
// if(zShape[jZ] == 1) { --jZ; continue; }
|
||
|
// if(jZ == zRankMinusOne) {
|
||
|
// if(zIdx[jZ] < zShape[jZ]) { zOffset += zStride[jZ]; ++zIdx[jZ]; break; }
|
||
|
// else { zIdx[jZ] = 1; --jZ; continue; }
|
||
|
// }
|
||
|
// else if(zIdx[jZ] < zShape[jZ] - 1) { zInit += zStride[jZ]; zOffset = zInit; ++zIdx[jZ]; jZ = zRankMinusOne; break; }
|
||
|
// else { zInit -= zOffsetPerDim[jZ]; zIdx[jZ--] = 0; continue; }
|
||
|
// }
|
||
|
// z[zOffset] = OpType::op(x[xOffset], extraParams);
|
||
|
// }
|
||
|
|
||
|
// delete []xIdx;
|
||
|
// delete []zIdx;
|
||
|
// delete []xOffsetPerDim;
|
||
|
// delete []zOffsetPerDim;
|
||
|
// }
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
//////////////////////////////////////////////////////////////////////////////
|
||
|
template<typename X, typename Z>
|
||
|
template <typename OpType>
|
||
|
void nd4j::Reduction3Loops<X, Z>::loopReduce3(X* x, Nd4jLong* xShapeInfo,
|
||
|
X* y, Nd4jLong* yShapeInfo,
|
||
|
Z* z, Nd4jLong* zShapeInfo,
|
||
|
int* dims, int dimsLen,
|
||
|
Z* extraParameters) {
|
||
|
|
||
|
// both tads have same shape, however strides and ews may differ
|
||
|
|
||
|
Z param0(OpType::startingValue(x)), param1(OpType::startingValue(x)), param2(extraParameters ? extraParameters[0] : OpType::startingValue(x));
|
||
|
Z extraParams[3] = {param0, param1, param2};
|
||
|
|
||
|
const Nd4jLong xLen = shape::length(xShapeInfo);
|
||
|
const Nd4jLong yLen = shape::length(yShapeInfo);
|
||
|
|
||
|
Nd4jLong *xTadShapeInfo = nullptr, *yTadShapeInfo = nullptr, *xTadOffsets = nullptr, *yTadOffsets = nullptr;
|
||
|
TadPack tadPackX, tadPackY;
|
||
|
std::vector<Nd4jLong> zeroOffsets;
|
||
|
|
||
|
if(xLen == yLen) {
|
||
|
tadPackX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dims, dimsLen);
|
||
|
tadPackY = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dims, dimsLen);
|
||
|
xTadShapeInfo = tadPackX.primaryShapeInfo();
|
||
|
yTadShapeInfo = tadPackY.primaryShapeInfo();
|
||
|
xTadOffsets = tadPackX.primaryOffsets();
|
||
|
yTadOffsets = tadPackY.primaryOffsets();
|
||
|
}
|
||
|
else if(yLen > xLen) {
|
||
|
tadPackY = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dims, dimsLen);
|
||
|
xTadShapeInfo = xShapeInfo;
|
||
|
yTadShapeInfo = tadPackY.primaryShapeInfo();
|
||
|
yTadOffsets = tadPackY.primaryOffsets();
|
||
|
}
|
||
|
else {
|
||
|
tadPackX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dims, dimsLen);
|
||
|
yTadShapeInfo = yShapeInfo;
|
||
|
xTadShapeInfo = tadPackX.primaryShapeInfo();
|
||
|
xTadOffsets = tadPackX.primaryOffsets();
|
||
|
}
|
||
|
|
||
|
|
||
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXYZ(xTadShapeInfo, yTadShapeInfo, zShapeInfo);
|
||
|
|
||
|
const auto xTadEws = shape::elementWiseStride(xTadShapeInfo);
|
||
|
const auto yTadEws = shape::elementWiseStride(yTadShapeInfo);
|
||
|
const auto zEws = shape::elementWiseStride(zShapeInfo);
|
||
|
|
||
|
const auto zLen = shape::length(zShapeInfo);
|
||
|
const auto tadLen = shape::length(xTadShapeInfo);
|
||
|
|
||
|
const auto tadShape = shape::shapeOf(xTadShapeInfo);
|
||
|
const auto xTadStride = shape::stride(xTadShapeInfo);
|
||
|
const auto yTadStride = shape::stride(xTadShapeInfo);
|
||
|
|
||
|
int numThreads = OmpLaunchHelper::tadThreads(tadLen, zLen);
|
||
|
|
||
|
switch (kindOfLoop) {
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWS1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j)
|
||
|
start = OpType::update(start, OpType::op(xTad[j], yTad[j], extraParams), extraParams);
|
||
|
|
||
|
z[i] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWSNONZERO: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j)
|
||
|
start = OpType::update(start, OpType::op(xTad[j * xTadEws], yTad[j * yTadEws], extraParams), extraParams);
|
||
|
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadLen; ++i0) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0];
|
||
|
const auto yTadOffset = i0 * yTadStride[0];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK2: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK3: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK4: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK5: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; i++) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
|
||
|
for (uint i4 = 0; i4 < tadShape[4]; ++i4) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3] + i4 * xTadStride[4];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3] + i4 * yTadStride[4];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
default: {
|
||
|
|
||
|
uint castXTadShapeInfo[MAX_RANK];
|
||
|
const bool canCastXTad = nd4j::DataTypeUtils::castShapeInfo<uint>(xTadShapeInfo, castXTadShapeInfo);
|
||
|
|
||
|
if(shape::haveSameShapeAndStrides(xTadShapeInfo, yTadShapeInfo)) {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j) {
|
||
|
const auto tadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, tadLen, canCastXTad);
|
||
|
start = OpType::update(start, OpType::op(xTad[tadOffset], yTad[tadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
else {
|
||
|
|
||
|
uint castYTadShapeInfo[MAX_RANK];
|
||
|
const bool canCastYTad = nd4j::DataTypeUtils::castShapeInfo<uint>(yTadShapeInfo, castYTadShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint i = 0; i < zLen; ++i) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
||
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
||
|
auto start = OpType::startingValue(xTad);
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j) {
|
||
|
const auto xTadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, tadLen, canCastXTad);
|
||
|
const auto yTadOffset = shape::indexOffset(j, yTadShapeInfo, castYTadShapeInfo, tadLen, canCastYTad);
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
|
||
|
z[i * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
//////////////////////////////////////////////////////////////////////////////
|
||
|
template<typename X, typename Z>
|
||
|
template <typename OpType>
|
||
|
void nd4j::Reduction3Loops<X, Z>::loopReduce3All(X* x, Nd4jLong* xShapeInfo,
|
||
|
X* y, Nd4jLong* yShapeInfo,
|
||
|
Z* z, Nd4jLong* zShapeInfo,
|
||
|
Nd4jLong* xTadShapeInfo, Nd4jLong* xTadOffsets,
|
||
|
Nd4jLong* yTadShapeInfo, Nd4jLong* yTadOffsets,
|
||
|
Z* extraParameters) {
|
||
|
|
||
|
// both tads have same shape, however strides and ews may differ
|
||
|
|
||
|
Z param0(OpType::startingValue(x)), param1(OpType::startingValue(x)), param2(extraParameters ? extraParameters[0] : OpType::startingValue(x));
|
||
|
Z extraParams[3] = {param0, param1, param2};
|
||
|
|
||
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXYZ(xTadShapeInfo, yTadShapeInfo, zShapeInfo);
|
||
|
|
||
|
const auto xTadEws = shape::elementWiseStride(xTadShapeInfo);
|
||
|
const auto yTadEws = shape::elementWiseStride(yTadShapeInfo);
|
||
|
const auto zEws = shape::elementWiseStride(zShapeInfo);
|
||
|
|
||
|
const auto zLen = shape::length(zShapeInfo);
|
||
|
const auto tadLen = shape::length(xTadShapeInfo);
|
||
|
|
||
|
const auto numXTads = shape::length(xShapeInfo) / tadLen;
|
||
|
const auto numYTads = shape::length(yShapeInfo) / tadLen;
|
||
|
|
||
|
const auto tadShape = shape::shapeOf(xTadShapeInfo);
|
||
|
const auto xTadStride = shape::stride(xTadShapeInfo);
|
||
|
const auto yTadStride = shape::stride(yTadShapeInfo);
|
||
|
|
||
|
const auto startVal = OpType::startingValue(x);
|
||
|
|
||
|
int numThreads = OmpLaunchHelper::tadThreads(tadLen, numXTads*numYTads);
|
||
|
|
||
|
switch (kindOfLoop) {
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWS1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j)
|
||
|
start = OpType::update(start, OpType::op(xTad[j], yTad[j], extraParams), extraParams);
|
||
|
|
||
|
z[zInd] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::EWSNONZERO: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j)
|
||
|
start = OpType::update(start, OpType::op(xTad[j * xTadEws], yTad[j * yTadEws], extraParams), extraParams);
|
||
|
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK1: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadLen; ++i0) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0];
|
||
|
const auto yTadOffset = i0 * yTadStride[0];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK2: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK3: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK4: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
case LoopKind::RANK5: {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint i0 = 0; i0 < tadShape[0]; ++i0) {
|
||
|
for (uint i1 = 0; i1 < tadShape[1]; ++i1) {
|
||
|
for (uint i2 = 0; i2 < tadShape[2]; ++i2) {
|
||
|
for (uint i3 = 0; i3 < tadShape[3]; ++i3) {
|
||
|
for (uint i4 = 0; i4 < tadShape[4]; ++i4) {
|
||
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3] + i4 * xTadStride[4];
|
||
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3] + i4 * yTadStride[4];
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
break;
|
||
|
|
||
|
//*********************************************//
|
||
|
default: {
|
||
|
|
||
|
uint castXTadShapeInfo[MAX_RANK];
|
||
|
const bool canCastXTad = nd4j::DataTypeUtils::castShapeInfo<uint>(xTadShapeInfo, castXTadShapeInfo);
|
||
|
|
||
|
if(shape::haveSameShapeAndStrides(xTadShapeInfo, yTadShapeInfo)) {
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
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auto start = startVal;
|
||
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||
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for (uint j = 0; j < tadLen; ++j) {
|
||
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const auto tadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, tadLen, canCastXTad);
|
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start = OpType::update(start, OpType::op(xTad[tadOffset], yTad[tadOffset], extraParams), extraParams);
|
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}
|
||
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z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
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}
|
||
|
}
|
||
|
}
|
||
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else {
|
||
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|
||
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uint castYTadShapeInfo[MAX_RANK];
|
||
|
const bool canCastYTad = nd4j::DataTypeUtils::castShapeInfo<uint>(yTadShapeInfo, castYTadShapeInfo);
|
||
|
|
||
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_ARGS(collapse(2) num_threads(numThreads) if(numThreads > 1) private(extraParams))
|
||
|
for (uint ix = 0; ix < numXTads; ++ix) {
|
||
|
for (uint iy = 0; iy < numYTads; ++iy) {
|
||
|
|
||
|
extraParams[0] = param0;
|
||
|
extraParams[1] = param1;
|
||
|
extraParams[2] = param2;
|
||
|
|
||
|
const auto xTad = x + xTadOffsets[ix];
|
||
|
const auto yTad = y + yTadOffsets[iy];
|
||
|
const auto zInd = ix * numYTads + iy;
|
||
|
auto start = startVal;
|
||
|
|
||
|
for (uint j = 0; j < tadLen; ++j) {
|
||
|
const auto xTadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, tadLen, canCastXTad);
|
||
|
const auto yTadOffset = shape::indexOffset(j, yTadShapeInfo, castYTadShapeInfo, tadLen, canCastYTad);
|
||
|
start = OpType::update(start, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
||
|
}
|
||
|
|
||
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
|
||
|
}
|
||
|
|
||
|
|
||
|
#endif //LIBND4J_LOOPS_H
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