459 lines
22 KiB
C++
459 lines
22 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 raver119@gmail.com
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//
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#include <op_boilerplate.h>
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#include <loops/broadcasting.h>
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#include <loops/legacy_ops.h>
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#include <types/types.h>
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#include <LoopKind.h>
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#include <helpers/ConstantTadHelper.h>
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using namespace simdOps;
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namespace functions {
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namespace broadcast {
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template <typename X, typename Y, typename Z>
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void Broadcast<X, Y, Z>::execInverse(const int opNum,
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void *x,
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Nd4jLong *xShapeInfo,
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void *y,
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Nd4jLong *yShapeInfo,
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void *z,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset) {
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DISPATCH_BY_OPNUM_TTT(execInverse, PARAMS(x,
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xShapeInfo,
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y,
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yShapeInfo,
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z,
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zShapeInfo,
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dimension,
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dimensionLength,
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xTadShapeInfo,
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xTadOffset,
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zTadShapeInfo,
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zTadOffset), BROADCAST_OPS);
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}
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template <typename X, typename Y, typename Z>
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void Broadcast<X, Y, Z>::exec(const int opNum,
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void *x,
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Nd4jLong *xShapeInfo,
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void *y,
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Nd4jLong *yShapeInfo,
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void *z,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset) {
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DISPATCH_BY_OPNUM_TTT(exec, PARAMS(x,
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xShapeInfo,
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y,
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yShapeInfo,
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z,
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zShapeInfo,
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dimension,
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dimensionLength,
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xTadShapeInfo,
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xTadOffset,
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zTadShapeInfo,
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zTadOffset), BROADCAST_OPS);
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}
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template <typename X, typename Y, typename Z>
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template<typename OpType>
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void Broadcast<X, Y, Z>::exec(void *vx,
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Nd4jLong *xShapeInfo,
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void *vy,
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Nd4jLong *yShapeInfo,
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void *vz,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset) {
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auto x = reinterpret_cast<X *>(vx);
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auto y = reinterpret_cast<Y *>(vy);
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auto z = reinterpret_cast<Z *>(vz);
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//decompose in to several sub tads after
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//moving all dimensions (in sorted order)
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//to the back.
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//permuted version of the x shape info for setting up the tad problem
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auto xTadShapeShapeInfo = xTadShapeInfo;
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auto tadOffsets = xTadOffset;
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if (xTadShapeInfo == nullptr || tadOffsets == nullptr) {
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dimension, dimensionLength);
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xTadShapeShapeInfo = tadPack.primaryShapeInfo();
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tadOffsets = tadPack.primaryOffsets();
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}
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//int *resultStride = shape::stride(xTadShapeShapeInfo);
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unsigned int tadLength = shape::length(xTadShapeShapeInfo);//shape::length(xTadShapeShapeInfo);
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unsigned int tads = shape::length(xShapeInfo) / tadLength;
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if (zTadShapeInfo == nullptr) {
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zTadShapeInfo = xTadShapeShapeInfo;
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zTadOffset = tadOffsets;
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}
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auto lenZ = shape::length(zTadShapeInfo);
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auto lenY = shape::length(yShapeInfo);
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int tadsPerThread = tads / TAD_THRESHOLD;
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int threads = nd4j::math::nd4j_max<int>(1, tadsPerThread);
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threads = nd4j::math::nd4j_min<int>(threads, omp_get_max_threads());
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auto xEws = shape::elementWiseStride(xTadShapeShapeInfo);
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auto yEws = shape::elementWiseStride(yShapeInfo);
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auto zEws = shape::elementWiseStride(zTadShapeInfo);
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const nd4j::LoopKind::Kind kindOfLoop = nd4j::LoopKind::deduceKindOfLoopXYZ(xTadShapeShapeInfo, yShapeInfo, zTadShapeInfo);
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if (kindOfLoop == nd4j::LoopKind::EWS1) {
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oX = x + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++)
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oZ[f] = OpType::op(oX[f], y[f]);
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}
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}
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else if(kindOfLoop == nd4j::LoopKind::EWSNONZERO){
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oX = x + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++)
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oZ[f * zEws] = OpType::op(oX[f * xEws], y[f * yEws]);
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}
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}
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else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo) && shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
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uint tadShapeShapeInfoCast[MAX_RANK];
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bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oX = x + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++) {
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auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastX);
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oZ[offset] = OpType::op(oX[offset], y[offset]);
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}
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}
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}
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else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo)) {
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uint tadShapeShapeInfoCast[MAX_RANK];
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uint tadShapeInfoZCast[MAX_RANK];
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bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
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bool canCastZ = nd4j::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oZ = z + zTadOffset[i];
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auto oX = x + tadOffsets[i];
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PRAGMA_OMP_SIMD
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for (int f = 0; f < tadLength; f++) {
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auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastX);
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auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, lenZ, canCastZ);
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oZ[zOffset] = OpType::op(oX[offset], y[offset]);
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}
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}
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}
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else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
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uint tadShapeShapeInfoCast[MAX_RANK];
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uint yShapeInfoCast[MAX_RANK];
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bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
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bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oZ = z + zTadOffset[i];
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auto oX = x + tadOffsets[i];
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PRAGMA_OMP_SIMD
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for (int f = 0; f < tadLength; f++) {
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auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastX);
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auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, lenY, canCastY);
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oZ[offset] = OpType::op(oX[offset], y[yOffset]);
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}
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}
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}
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else if(shape::haveSameShapeAndStrides(yShapeInfo, zTadShapeInfo)) {
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uint tadShapeShapeInfoCast[MAX_RANK];
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uint yShapeInfoCast[MAX_RANK];
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bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
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bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oZ = z + zTadOffset[i];
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auto oX = x + tadOffsets[i];
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PRAGMA_OMP_SIMD
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for (int f = 0; f < tadLength; f++) {
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auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastX);
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auto offset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, lenY, canCastY);
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oZ[offset] = OpType::op(oX[xOffset], y[offset]);
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}
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}
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}
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else {
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uint tadShapeShapeInfoCast[MAX_RANK];
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uint tadShapeInfoZCast[MAX_RANK];
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uint yShapeInfoCast[MAX_RANK];
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bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
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bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
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bool canCastZ = nd4j::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (int i = 0; i < tads; i++) {
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auto oZ = z + zTadOffset[i];
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auto oX = x + tadOffsets[i];
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PRAGMA_OMP_SIMD
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for (int f = 0; f < tadLength; f++) {
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auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastX);
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auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, lenY, canCastY);
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auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, lenZ, canCastZ);
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oZ[zOffset] = OpType::op(oX[xOffset], y[yOffset]);
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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, typename Z>
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template<typename OpType>
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void Broadcast<X, Y, Z>::execInverse(void *vx,
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Nd4jLong *xShapeInfo,
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void *vy,
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Nd4jLong *yShapeInfo,
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void *vz,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *yTadShapeInfo,
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Nd4jLong *yTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset) {
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auto x = reinterpret_cast<X *>(vx);
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auto y = reinterpret_cast<Y *>(vy);
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auto z = reinterpret_cast<Z *>(vz);
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//decompose in to several sub tads after
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//moving all dimensions (in sorted order)
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//to the back.
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//permuted version of the x shape info for setting up the tad problem
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auto yTadShapeShapeInfo = yTadShapeInfo;
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auto tadOffsets = yTadOffset;
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if (yTadShapeInfo == nullptr || tadOffsets == nullptr) {
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dimension, dimensionLength);
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yTadShapeShapeInfo = tadPack.primaryShapeInfo();
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tadOffsets = tadPack.primaryOffsets();
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}
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//int *resultStride = shape::stride(yTadShapeShapeInfo);
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unsigned int tadLength = shape::length(yTadShapeShapeInfo);
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unsigned int tads = shape::length(yShapeInfo) / tadLength;
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if (zTadShapeInfo == nullptr) {
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zTadShapeInfo = yTadShapeShapeInfo;
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zTadOffset = tadOffsets;
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}
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auto lenZ = shape::length(zTadShapeInfo);
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auto lenX = shape::length(xShapeInfo);
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int tadsPerThread = tads / TAD_THRESHOLD;
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int threads = nd4j::math::nd4j_max<int>(1, tadsPerThread);
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threads = nd4j::math::nd4j_min<int>(threads, omp_get_max_threads());
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auto yEws = shape::elementWiseStride(yTadShapeShapeInfo);
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auto xEws = shape::elementWiseStride(xShapeInfo);
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auto zEws = shape::elementWiseStride(zTadShapeInfo);
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const nd4j::LoopKind::Kind kindOfLoop = nd4j::LoopKind::deduceKindOfLoopXYZ(yTadShapeShapeInfo, xShapeInfo, zTadShapeInfo);
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if(kindOfLoop == nd4j::LoopKind::EWS1) {
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PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
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for (unsigned int i = 0; i < tads; i++) {
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auto oY = y + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++)
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oZ[f] = OpType::op(x[f], oY[f]);
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}
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}
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|
|
else if(kindOfLoop == nd4j::LoopKind::EWSNONZERO) {
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
auto oY = y + tadOffsets[i];
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (unsigned int f = 0; f < tadLength; f++)
|
||
|
|
oZ[f * zEws] = OpType::op(x[f * xEws], oY[f * yEws]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, xShapeInfo) && shape::haveSameShapeAndStrides(yTadShapeShapeInfo, zTadShapeInfo)) {
|
||
|
|
|
||
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
||
|
|
bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
||
|
|
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
|
||
|
|
auto oY = x + tadOffsets[i];
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
||
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastY);
|
||
|
|
oZ[offset] = OpType::op(x[offset], oY[offset]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, xShapeInfo)) {
|
||
|
|
|
||
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
||
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
||
|
|
bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
||
|
|
bool canCastZ = nd4j::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
||
|
|
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
auto oY = y + tadOffsets[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (int f = 0; f < tadLength; f++) {
|
||
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastY);
|
||
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, lenZ, canCastZ);
|
||
|
|
oZ[zOffset] = OpType::op(x[offset], oY[offset]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, zTadShapeInfo)) {
|
||
|
|
|
||
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
||
|
|
uint xShapeInfoCast[MAX_RANK];
|
||
|
|
bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
||
|
|
bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
||
|
|
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
auto oY = y + tadOffsets[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (int f = 0; f < tadLength; f++) {
|
||
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastY);
|
||
|
|
auto xOffset = shape::indexOffset(f, yShapeInfo, xShapeInfoCast, lenX, canCastX);
|
||
|
|
oZ[offset] = OpType::op(x[xOffset], oY[offset]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else if(shape::haveSameShapeAndStrides(xShapeInfo, zTadShapeInfo)) {
|
||
|
|
|
||
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
||
|
|
uint xShapeInfoCast[MAX_RANK];
|
||
|
|
bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
||
|
|
bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
||
|
|
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
auto oY = y + tadOffsets[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (int f = 0; f < tadLength; f++) {
|
||
|
|
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastY);
|
||
|
|
auto offset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, lenX, canCastX);
|
||
|
|
oZ[offset] = OpType::op(x[offset], oY[yOffset]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
|
||
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
||
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
||
|
|
uint xShapeInfoCast[MAX_RANK];
|
||
|
|
bool canCastX = nd4j::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
||
|
|
bool canCastY = nd4j::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
||
|
|
bool canCastZ = nd4j::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
||
|
|
|
||
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(threads)
|
||
|
|
for (int i = 0; i < tads; i++) {
|
||
|
|
|
||
|
|
auto oZ = z + zTadOffset[i];
|
||
|
|
auto oY = y + tadOffsets[i];
|
||
|
|
|
||
|
|
PRAGMA_OMP_SIMD
|
||
|
|
for (int f = 0; f < tadLength; f++) {
|
||
|
|
auto xOffset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, lenX, canCastX);
|
||
|
|
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, tadLength, canCastY);
|
||
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, lenZ, canCastZ);
|
||
|
|
oZ[zOffset] = OpType::op(x[xOffset], oY[yOffset]);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|