/*******************************************************************************
* 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
******************************************************************************/
//
// Created by raver119 on 08.10.2017.
//
#include "../scalar.h"
#include <op_boilerplate.h>
#include <types/types.h>
#include <LoopKind.h>
#include "../legacy_ops.h"
using namespace simdOps;
namespace functions {
namespace scalar {
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
template<typename OpType>
void ScalarTransform<X, Y, Z>::transform(void *vx, Nd4jLong *xShapeInfo,
void *vextraParams,
void *vz, Nd4jLong *zShapeInfo,
void *vscalars,
int *dimension, int dimensionLength,
Nd4jLong *xTadShapeInfo, Nd4jLong *xTadOffsets,
Nd4jLong *zTadShapeInfo, Nd4jLong *zTadOffsets) {
auto x = reinterpret_cast<X *>(vx);
auto z = reinterpret_cast<Z *>(vz);
auto scalars = reinterpret_cast<Y *>(vscalars);
auto extraParams = reinterpret_cast<Z *>(vextraParams);
if (zTadShapeInfo == nullptr) {
zTadShapeInfo = xTadShapeInfo;
zTadOffsets = xTadOffsets;
}
const int xTadEws = shape::elementWiseStride(xTadShapeInfo);
const int zTadEws = shape::elementWiseStride(zTadShapeInfo);
const int tadLength = shape::tadLength(xShapeInfo, dimension, dimensionLength);
const int numTads = shape::length(xShapeInfo) / tadLength;
nd4j::LoopKind::Kind kindOfLoop = nd4j::LoopKind::deduceKindOfLoopXZ(xTadShapeInfo, zTadShapeInfo);
if (kindOfLoop != nd4j::LoopKind::EWS1 && kindOfLoop != nd4j::LoopKind::EWSNONZERO) {
printf("ScalarTransform<X, Z>::transform: super-bad loop visited. Shouldn't ever happen\n");
return;
}
int num_threads = nd4j::math::nd4j_min<int>(numTads, omp_get_max_threads());
if (kindOfLoop == nd4j::LoopKind::EWS1) {
PRAGMA_OMP_PARALLEL_FOR_THREADS(num_threads)
for (unsigned int r = 0; r < numTads; r++) {
auto oZ = z + zTadOffsets[r];
auto oX = x + xTadOffsets[r];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++)
oZ[f] = OpType::op(oX[f], scalars[r], extraParams);
}
}
else {
PRAGMA_OMP_PARALLEL_FOR_THREADS(num_threads)
for (unsigned int r = 0; r < numTads; r++) {
auto oZ = z + zTadOffsets[r];
auto oX = x + xTadOffsets[r];
PRAGMA_OMP_SIMD
for (unsigned int f = 0; f < tadLength; f++)
oZ[f * zTadEws] = OpType::op(oX[f * xTadEws], scalars[r], extraParams);
}
}
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
void ScalarTransform<X,Y,Z>::transform(int opNum,
void *x, Nd4jLong *xShapeInfo,
void *extraParams,
void *z, Nd4jLong *zShapeInfo,
void *scalars,
int *dimension, int dimensionLength,
Nd4jLong *xTadShapeInfo, Nd4jLong *xTadOffsets,
Nd4jLong *zTadShapeInfo, Nd4jLong *zTadOffsets) {
DISPATCH_BY_OPNUM_TTT(transform, PARAMS(x, xShapeInfo, extraParams, z, zShapeInfo, scalars, dimension, dimensionLength, xTadShapeInfo, xTadOffsets, zTadShapeInfo, zTadOffsets), SCALAR_OPS);
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
void ScalarTransform<X, Y, Z>::transform(const int opNum,
void *x, Nd4jLong xStride,
void *z, Nd4jLong zStride,
void *scalar,
void *extraParams,
const Nd4jLong n, bool allowParallelism) {
DISPATCH_BY_OPNUM_TTT(transform, PARAMS(x, xStride, z, zStride, scalar, extraParams, n, allowParallelism), SCALAR_OPS);
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
void ScalarTransform<X, Y, Z>::transform(const int opNum,
void *x, Nd4jLong *xShapeInfo,
void *z, Nd4jLong *zShapeInfo,
void *scalar,
void *extraParams, bool allowParallelism) {
DISPATCH_BY_OPNUM_TTT(transform, PARAMS(x, xShapeInfo, z, zShapeInfo, scalar, extraParams, allowParallelism), SCALAR_OPS);
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
template<typename OpType>
void ScalarTransform<X, Y, Z>::transform(void *vx, Nd4jLong *xShapeInfo,
void *vz, Nd4jLong *zShapeInfo,
void *vscalar,
void *vextraParams, bool allowParallelism) {
auto x = reinterpret_cast<X *>(vx);
auto z = reinterpret_cast<Z *>(vz);
auto scalar = reinterpret_cast<Y *>(vscalar)[0];
auto extraParams = reinterpret_cast<Z *>(vextraParams);
const auto len = shape::length(xShapeInfo);
const auto xEws = shape::elementWiseStride(xShapeInfo);
const auto zEws = shape::elementWiseStride(zShapeInfo);
nd4j::LoopKind::Kind kindOfLoop = nd4j::LoopKind::deduceKindOfLoopXZ(xShapeInfo, zShapeInfo);
if (kindOfLoop == nd4j::LoopKind::EWS1 || kindOfLoop == nd4j::LoopKind::EWSNONZERO) {
transform<OpType>(x, xEws, z, zEws, vscalar, extraParams, len, allowParallelism);
}
else {
uint xShapeInfoCast[MAX_RANK];
const bool canCastX = nd4j::DataTypeUtils::castShapeInfo<uint>(xShapeInfo, xShapeInfoCast);
nd4j::OmpLaunchHelper info(len, allowParallelism ? -1 : 1);
if(shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {
PRAGMA_OMP_PARALLEL_THREADS_IF(info._numThreads, allowParallelism)
{
auto threadNum = omp_get_thread_num();
auto threadOffset = info.getThreadOffset(threadNum);
auto ulen = static_cast<unsigned int>(info.getItersPerThread(threadNum));
PRAGMA_OMP_SIMD
for (unsigned int i = 0; i < ulen; i++) {
auto offset = shape::indexOffset(i + threadOffset, xShapeInfo, xShapeInfoCast, canCastX);
z[offset] = OpType::op(x[offset], scalar, extraParams);
}
}
}
else {
uint zShapeInfoCast[MAX_RANK];
const bool canCastZ = nd4j::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, zShapeInfoCast);
PRAGMA_OMP_PARALLEL_THREADS_IF(info._numThreads, allowParallelism)
{
auto threadNum = omp_get_thread_num();
auto threadOffset = info.getThreadOffset(threadNum);
auto ulen = static_cast<unsigned int>(info.getItersPerThread(threadNum));
PRAGMA_OMP_SIMD
for (unsigned int i = 0; i < ulen; i++) {
auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, xShapeInfoCast, canCastX);
auto zOffset = shape::indexOffset(i + threadOffset, zShapeInfo, zShapeInfoCast, canCastZ);
z[zOffset] = OpType::op(x[xOffset], scalar, extraParams);
}
}
}
}
}
////////////////////////////////////////////////////////////////////////
template<typename X, typename Y, typename Z>
template<typename OpType>
void ScalarTransform<X, Y, Z>::transform(void *vx, Nd4jLong xEws,
void *vz, Nd4jLong zEws,
void *vscalar,
void *vextraParams,
const Nd4jLong len, bool allowParallelism) {
auto x = reinterpret_cast<X *>(vx);
auto z = reinterpret_cast<Z *>(vz);
auto scalar = reinterpret_cast<Y *>(vscalar)[0];
auto extraParams = reinterpret_cast<Z *>(vextraParams);
nd4j::OmpLaunchHelper info(len, allowParallelism ? -1 : 1);
if (xEws == 1 && zEws == 1) {
PRAGMA_OMP_PARALLEL_THREADS_IF(info._numThreads, allowParallelism)
{
auto threadNum = omp_get_thread_num();
auto threadOffset = info.getThreadOffset(threadNum);
auto xi = x + threadOffset;
auto zi = z + threadOffset;
auto ulen = static_cast<unsigned int>(info.getItersPerThread(threadNum));
PRAGMA_OMP_SIMD
for (unsigned int i = 0; i < ulen; i++)
zi[i] = OpType::op(xi[i], scalar, extraParams);
}
}
else {
PRAGMA_OMP_PARALLEL_THREADS_IF(info._numThreads, allowParallelism)
{
auto threadNum = omp_get_thread_num();
auto threadOffset = info.getThreadOffset(threadNum);
auto xi = x + xEws * threadOffset;
auto zi = z + zEws * threadOffset;
auto ulen = static_cast<unsigned int>(info.getItersPerThread(threadNum));
PRAGMA_OMP_SIMD
for (unsigned int i = 0; i < ulen; i++)
zi[i * zEws] = OpType::op(xi[i * xEws], scalar, extraParams);
}
}
}
}
}