cavis/libnd4j/include/loops/cpu/broadcasting_int.hpp

717 lines
36 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <system/op_boilerplate.h>
#include <loops/broadcasting_int.h>
#include <loops/legacy_ops.h>
#include <types/types.h>
#include <helpers/LoopKind.h>
#include <helpers/ConstantTadHelper.h>
#include <execution/Threads.h>
using namespace simdOps;
namespace functions {
namespace broadcast {
template <typename X>
void BroadcastInt<X>::exec(const int opNum,
const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xTadOffset,
const Nd4jLong *zTadShapeInfo, const Nd4jLong *zTadOffset,
uint64_t start, uint64_t stop) {
DISPATCH_BY_OPNUM_T(exec, PARAMS(x,
xShapeInfo,
y,
yShapeInfo,
z,
zShapeInfo,
dimension,
dimensionLength,
xTadShapeInfo,
xTadOffset,
zTadShapeInfo,
zTadOffset, start, stop), BROADCAST_INT_OPS);
}
template <typename X>
void BroadcastInt<X>::exec(const int opNum,
const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo) {
DISPATCH_BY_OPNUM_T(exec, PARAMS(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo), BROADCAST_INT_OPS);
}
template <typename X>
void BroadcastInt<X>::execInverse(const int opNum,
const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xTadOffset,
const Nd4jLong *zTadShapeInfo, const Nd4jLong *zTadOffset,
uint64_t start, uint64_t stop) {
DISPATCH_BY_OPNUM_T(execInverse, PARAMS(x,
xShapeInfo,
y,
yShapeInfo,
z,
zShapeInfo,
dimension,
dimensionLength,
xTadShapeInfo,
xTadOffset,
zTadShapeInfo,
zTadOffset, start, stop), BROADCAST_INT_OPS);
}
template <typename X>
template<typename OpType>
void BroadcastInt<X>::exec(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xTadOffset,
const Nd4jLong *zTadShapeInfo, const Nd4jLong *zTadOffset,
uint64_t start, uint64_t stop) {
auto x = reinterpret_cast<const X *>(vx);
auto y = reinterpret_cast<const X *>(vy);
auto z = reinterpret_cast<X *>(vz);
//decompose in to several sub tads after
//moving all dimensions (in sorted order)
//to the back.
//permuted version of the x shape info for setting up the tad problem
auto xTadShapeShapeInfo = xTadShapeInfo;
auto tadOffsets = xTadOffset;
if (xTadShapeInfo == nullptr || tadOffsets == nullptr) {
auto tadPack = sd::ConstantTadHelper::getInstance().tadForDimensions(xShapeInfo, dimension, dimensionLength);
xTadShapeShapeInfo = const_cast<Nd4jLong*>(tadPack.primaryShapeInfo());
tadOffsets = const_cast<Nd4jLong*>(tadPack.primaryOffsets());
}
//int *resultStride = shape::stride(xTadShapeShapeInfo);
unsigned int tadLength = shape::length(xTadShapeShapeInfo);//shape::length(xTadShapeShapeInfo);
unsigned int tads = shape::length(xShapeInfo) / tadLength;
if (zTadShapeInfo == nullptr) {
zTadShapeInfo = xTadShapeShapeInfo;
zTadOffset = tadOffsets;
}
auto lenZ = shape::length(zTadShapeInfo);
auto lenY = shape::length(yShapeInfo);
int tadsPerThread = tads / TAD_THRESHOLD;
int threads = sd::math::nd4j_max<int>(1, tadsPerThread);
threads = sd::math::nd4j_min<int>(threads, sd::Environment::getInstance().maxThreads());
auto xEws = shape::elementWiseStride(xTadShapeShapeInfo);
auto yEws = shape::elementWiseStride(yShapeInfo);
auto zEws = shape::elementWiseStride(zTadShapeInfo);
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopXYZ(xTadShapeShapeInfo, yShapeInfo, zTadShapeInfo);
if (kindOfLoop == sd::LoopKind::EWS1) {
for (auto i = start; i < stop; i ++) {
auto oX = x + tadOffsets[i];
auto oZ = z + zTadOffset[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++)
oZ[f] = OpType::op(oX[f], y[f]);
};
}
else if(kindOfLoop == sd::LoopKind::EWSNONZERO) {
for (auto i = start; i < stop; i ++) {
auto oX = x + tadOffsets[i];
auto oZ = z + zTadOffset[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++)
oZ[f * zEws] = OpType::op(oX[f * xEws], y[f * yEws]);
};
}
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo) && shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
uint tadShapeShapeInfoCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oX = x + tadOffsets[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
oZ[offset] = OpType::op(oX[offset], y[offset]);
}
};
}
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo)) {
uint tadShapeShapeInfoCast[MAX_RANK];
uint tadShapeInfoZCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oX = x + tadOffsets[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
oZ[zOffset] = OpType::op(oX[offset], y[offset]);
}
};
}
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
uint tadShapeShapeInfoCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oX = x + tadOffsets[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
oZ[offset] = OpType::op(oX[offset], y[yOffset]);
}
};
}
else if(shape::haveSameShapeAndStrides(yShapeInfo, zTadShapeInfo)) {
uint tadShapeShapeInfoCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oX = x + tadOffsets[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++) {
auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
auto offset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
oZ[offset] = OpType::op(oX[xOffset], y[offset]);
}
};
}
else {
uint tadShapeShapeInfoCast[MAX_RANK];
uint tadShapeInfoZCast[MAX_RANK];
uint yShapeInfoCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oX = x + tadOffsets[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++) {
auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
oZ[zOffset] = OpType::op(oX[xOffset], y[yOffset]);
}
};
}
}
template <typename X>
template<typename OpType>
void BroadcastInt<X>::execInverse(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, const int dimensionLength,
const Nd4jLong *yTadShapeInfo, const Nd4jLong *yTadOffset,
const Nd4jLong *zTadShapeInfo, const Nd4jLong *zTadOffset,
uint64_t start, uint64_t stop) {
auto x = reinterpret_cast<const X *>(vx);
auto y = reinterpret_cast<const X *>(vy);
auto z = reinterpret_cast<X *>(vz);
//decompose in to several sub tads after
//moving all dimensions (in sorted order)
//to the back.
//permuted version of the x shape info for setting up the tad problem
auto yTadShapeShapeInfo = yTadShapeInfo;
auto tadOffsets = yTadOffset;
if (yTadShapeInfo == nullptr || tadOffsets == nullptr) {
auto tadPack = sd::ConstantTadHelper::getInstance().tadForDimensions(yShapeInfo, dimension, dimensionLength);
yTadShapeShapeInfo = const_cast<Nd4jLong*>(tadPack.primaryShapeInfo());
tadOffsets = const_cast<Nd4jLong*>(tadPack.primaryOffsets());
}
//int *resultStride = shape::stride(yTadShapeShapeInfo);
unsigned int tadLength = shape::length(yTadShapeShapeInfo);
unsigned int tads = shape::length(yShapeInfo) / tadLength;
if (zTadShapeInfo == nullptr) {
zTadShapeInfo = yTadShapeShapeInfo;
zTadOffset = tadOffsets;
}
auto lenZ = shape::length(zTadShapeInfo);
auto lenX = shape::length(xShapeInfo);
int tadsPerThread = tads / TAD_THRESHOLD;
int threads = sd::math::nd4j_max<int>(1, tadsPerThread);
threads = sd::math::nd4j_min<int>(threads, sd::Environment::getInstance().maxThreads());
auto yEws = shape::elementWiseStride(yTadShapeShapeInfo);
auto xEws = shape::elementWiseStride(xShapeInfo);
auto zEws = shape::elementWiseStride(zTadShapeInfo);
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopXYZ(yTadShapeShapeInfo, xShapeInfo, zTadShapeInfo);
if (kindOfLoop == sd::LoopKind::EWS1) {
for (auto i = start; i < stop; i ++) {
auto oY = y + tadOffsets[i];
auto oZ = z + zTadOffset[i];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++)
oZ[f] = OpType::op(x[f], oY[f]);
};
}
else if(kindOfLoop == sd::LoopKind::EWSNONZERO) {
for (auto i = start; i < stop; i ++) {
auto oY = y + tadOffsets[i];
auto oZ = z + zTadOffset[i];
PRAGMA_OMP_SIMD
for (uint 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 = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oY = y + tadOffsets[i];
auto oZ = z + zTadOffset[i];
PRAGMA_OMP_SIMD
for (uint f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, 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 = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oY = y + tadOffsets[i];
for (uint f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, 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 = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oY = y + tadOffsets[i];
PRAGMA_OMP_SIMD
for (uint f = 0; f < tadLength; f++) {
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
auto xOffset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, 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 = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oY = y + tadOffsets[i];
PRAGMA_OMP_SIMD
for (uint f = 0; f < tadLength; f++) {
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
auto offset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, canCastX);
oZ[offset] = OpType::op(x[offset], oY[yOffset]);
}
};
}
else {
uint xShapeInfoCast[MAX_RANK];
uint tadShapeShapeInfoCast[MAX_RANK];
uint tadShapeInfoZCast[MAX_RANK];
bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
for (auto i = start; i < stop; i ++) {
auto oZ = z + zTadOffset[i];
auto oY = y + tadOffsets[i];
PRAGMA_OMP_SIMD
for (uint f = 0; f < tadLength; f++) {
auto xOffset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, canCastX);
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
oZ[zOffset] = OpType::op(x[xOffset], oY[yOffset]);
}
};
}
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execRank1(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
uint zAxis0 = shape::sizeAt(zShapeInfo, 0);
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, 0);
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, 0);
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, 0);
auto func = PRAGMA_THREADS_FOR{
if(zStrd0 == 1 && xStrd0 == 1 && yStrd0 == 0) {
for (auto i0 = start; i0 < stop; ++i0)
z[i0] = OpType::op(x[i0], *y);
}
else if(zStrd0 == 1 && xStrd0 == 0 && yStrd0 == 1) {
for (auto i0 = start; i0 < stop; ++i0)
z[i0] = OpType::op(*x, y[i0]);
}
else if(zStrd0 == 1 && xStrd0 == 1 && yStrd0 == 1) {
for (auto i0 = start; i0 < stop; ++i0)
z[i0] = OpType::op(x[i0], y[i0]);
}
else {
for (auto i0 = start; i0 < stop; ++i0)
z[i0 * zStrd0] = OpType::op(x[i0 * xStrd0], y[i0 * yStrd0]);
}
};
samediff::Threads::parallel_tad(func, 0, zAxis0);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execRank2(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
auto func = PRAGMA_THREADS_FOR{
for (auto i0 = start; i0 < stop; ++i0) {
auto x0 = x + i0 * xStrd0;
auto y0 = y + i0 * yStrd0;
auto z0 = z + i0 * zStrd0;
if(zStrd1 == 1 && xStrd1 == 1 && yStrd1 == 0)
for (uint i1 = 0; i1 < zAxis1; ++i1)
z0[i1] = OpType::op(x0[i1], *y0);
else if(zStrd1 == 1 && xStrd1 == 0 && yStrd1 == 1)
for (uint i1 = 0; i1 < zAxis1; ++i1)
z0[i1] = OpType::op(*x0, y0[i1]);
else if(zStrd1 == 1 && xStrd1 == 1 && yStrd1 == 1)
for (uint i1 = 0; i1 < zAxis1; ++i1)
z0[i1] = OpType::op(x0[i1], y0[i1]);
else
for (uint i1 = 0; i1 < zAxis1; ++i1)
z0[i1 * zStrd1] = OpType::op(x0[i1 * xStrd1], y0[i1 * yStrd1]);
}
};
samediff::Threads::parallel_tad(func, 0, zAxis0);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execRank3(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
uint zAxis1 = shape::sizeAt(zShapeInfo, 1);
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, 1);
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, 1);
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, 1);
uint zAxis2 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
auto func = PRAGMA_THREADS_FOR_2D {
for (auto i0 = start_x; i0 < stop_x; ++i0) {
for (auto i1 = start_y; i1 < stop_y; ++i1) {
auto x1 = x + i0 * xStrd0 + i1 * xStrd1;
auto y1 = y + i0 * yStrd0 + i1 * yStrd1;
auto z1 = z + i0 * zStrd0 + i1 * zStrd1;
if(zStrd2 == 1 && xStrd2 == 1 && yStrd2 == 0)
for (uint i2 = 0; i2 < zAxis2; ++i2)
z1[i2] = OpType::op(x1[i2], *y1);
else if(zStrd2 == 1 && xStrd2 == 0 && yStrd2 == 1)
for (uint i2 = 0; i2 < zAxis2; ++i2)
z1[i2] = OpType::op(*x1, y1[i2]);
else if(zStrd2 == 1 && xStrd2 == 1 && yStrd2 == 1)
for (uint i2 = 0; i2 < zAxis2; ++i2)
z1[i2] = OpType::op(x1[i2], y1[i2]);
else
for (uint i2 = 0; i2 < zAxis2; ++i2)
z1[i2 * zStrd2] = OpType::op(x1[i2 * xStrd2], y1[i2 * yStrd2]);
}
}
};
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execRank4(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
uint zAxis2 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
uint zAxis3 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
Nd4jLong xStrd3 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
Nd4jLong yStrd3 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
Nd4jLong zStrd3 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
auto func = PRAGMA_THREADS_FOR_3D {
for (auto i0 = start_x; i0 < stop_x; ++i0) {
for (auto i1 = start_y; i1 < stop_y; ++i1) {
for (auto i2 = start_z; i2 < stop_z; ++i2) {
auto x2 = x + i0 * xStrd0 + i1 * xStrd1 + i2 * xStrd2;
auto y2 = y + i0 * yStrd0 + i1 * yStrd1 + i2 * yStrd2;
auto z2 = z + i0 * zStrd0 + i1 * zStrd1 + i2 * zStrd2;
if(zStrd3 == 1 && xStrd3 == 1 && yStrd3 == 0)
for (uint i3 = 0; i3 < zAxis3; ++i3)
z2[i3] = OpType::op(x2[i3], *y2);
else if(zStrd3 == 1 && xStrd3 == 0 && yStrd3 == 1)
for (uint i3 = 0; i3 < zAxis3; ++i3)
z2[i3] = OpType::op(*x2, y2[i3]);
else if(zStrd3 == 1 && xStrd3 == 1 && yStrd3 == 1)
for (uint i3 = 0; i3 < zAxis3; ++i3)
z2[i3] = OpType::op(x2[i3], y2[i3]);
else
for (uint i3 = 0; i3 < zAxis3; ++i3)
z2[i3 * zStrd3] = OpType::op(x2[i3 * xStrd3], y2[i3 * yStrd3]);
}
}
}
};
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1, 0,zAxis2,1);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execRank5(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
uint zAxis2 = shape::sizeAt(zShapeInfo, 2);
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, 2);
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, 2);
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, 2);
uint zAxis3 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
Nd4jLong xStrd3 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
Nd4jLong yStrd3 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
Nd4jLong zStrd3 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
uint zAxis4 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
Nd4jLong xStrd4 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
Nd4jLong yStrd4 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
Nd4jLong zStrd4 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
auto func = PRAGMA_THREADS_FOR_3D {
for (auto i0 = start_x; i0 < stop_x; ++i0) {
for (auto i1 = start_y; i1 < stop_y; ++i1) {
for (auto i2 = start_z; i2 < stop_z; ++i2) {
for (uint i3 = 0; i3 < zAxis3; ++i3) {
auto x3 = x + i0 * xStrd0 + i1 * xStrd1 + i2 * xStrd2 + i3 * xStrd3;
auto y3 = y + i0 * yStrd0 + i1 * yStrd1 + i2 * yStrd2 + i3 * yStrd3;
auto z3 = z + i0 * zStrd0 + i1 * zStrd1 + i2 * zStrd2 + i3 * zStrd3;
if(zStrd4 == 1 && xStrd4 == 1 && yStrd4 == 0)
for (uint i4 = 0; i4 < zAxis4; ++i4)
z3[i4] = OpType::op(x3[i4], *y3);
else if(zStrd4 == 1 && xStrd4 == 0 && yStrd4 == 1)
for (uint i4 = 0; i4 < zAxis4; ++i4)
z3[i4] = OpType::op(*x3, y3[i4]);
else if(zStrd4 == 1 && xStrd4 == 1 && yStrd4 == 1)
for (uint i4 = 0; i4 < zAxis4; ++i4)
z3[i4] = OpType::op(x3[i4], y3[i4]);
else
for (uint i4 = 0; i4 < zAxis4; ++i4)
z3[i4 * zStrd4] = OpType::op(x3[i4 * xStrd4], y3[i4 * yStrd4]);
}
}
}
}
};
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1, 0,zAxis2,1);
}
////////////////////////////////////////////////////////////////////////
template <typename X, typename OpType>
static void execDefault(const X *x, const Nd4jLong *xShapeInfo, const X *y, const Nd4jLong *yShapeInfo, X* z, const Nd4jLong *zShapeInfo) {
const bool xzSameOffsets = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
const bool yzSameOffsets = shape::haveSameShapeAndStrides(yShapeInfo, zShapeInfo);
const int rank = shape::rank(zShapeInfo); // xRank = yRank = zRank
auto func = PRAGMA_THREADS_FOR{
int xCoords[MAX_RANK], yCoords[MAX_RANK], zCoords[MAX_RANK];
for (auto i = start; i < stop; ++i) {
shape::index2coordsCPU(start, i, zShapeInfo, zCoords);
for (uint j = 0; j < rank; ++j) {
xCoords[j] = shape::sizeAt(xShapeInfo, j) == 1 ? 0 : zCoords[j];
yCoords[j] = shape::sizeAt(yShapeInfo, j) == 1 ? 0 : zCoords[j];
}
const auto zOffset = shape::getOffset(zShapeInfo, zCoords);
const auto xOffset = xzSameOffsets ? zOffset : shape::getOffset(xShapeInfo, xCoords);
const auto yOffset = yzSameOffsets ? zOffset : shape::getOffset(yShapeInfo, yCoords);
z[zOffset] = OpType::op(x[xOffset], y[yOffset]);
}
};
samediff::Threads::parallel_for(func, 0, shape::length(zShapeInfo));
}
////////////////////////////////////////////////////////////////////////
template <typename X>
template<typename OpType>
void BroadcastInt<X>::exec(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo) {
const X* x = reinterpret_cast<const X*>(vx);
const X* y = reinterpret_cast<const X*>(vy);
X* z = reinterpret_cast<X*>(vz);
const int rank = shape::rank(zShapeInfo); // xRank = yRank = zRank
switch (rank) {
case 1:
execRank1<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
break;
case 2:
execRank2<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
break;
case 3:
execRank3<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
break;
case 4:
execRank4<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
break;
case 5:
execRank5<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
break;
default:
execDefault<X, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
}
}
//BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT BroadcastInt, , INTEGER_TYPES);
}
}