wehub-resource-sync
199 lines
7.8 KiB
C++
199 lines
7.8 KiB
C++
/* ******************************************************************************
|
|
*
|
|
*
|
|
* 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.
|
|
*
|
|
* See the NOTICE file distributed with this work for additional
|
|
* information regarding copyright ownership.
|
|
* 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
|
|
// @author Yurii Shyrma (iuriish@yahoo.com)
|
|
//
|
|
#include <helpers/ConstantTadHelper.h>
|
|
#include <helpers/Loops.h>
|
|
#include <helpers/OmpLaunchHelper.h>
|
|
#include <loops/legacy_ops.h>
|
|
#include <loops/reduce_bool.h>
|
|
#include <system/op_boilerplate.h>
|
|
#include <types/types.h>
|
|
|
|
using namespace simdOps;
|
|
|
|
namespace functions {
|
|
namespace reduce {
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
void SD_HOST ReduceBoolFunction<X, Z>::execScalar(const void *vx, const sd::LongType *xShapeInfo, void *vextraParams,
|
|
void *vz, const sd::LongType *zShapeInfo) {
|
|
auto x = reinterpret_cast<const X *>(vx);
|
|
auto z = reinterpret_cast<Z *>(vz);
|
|
auto extraParams = reinterpret_cast<X *>(vextraParams);
|
|
|
|
const auto length = shape::length(xShapeInfo);
|
|
|
|
if (shape::isEmptyConst(xShapeInfo)) {
|
|
z[0] = OpType::startingValue(x);
|
|
return;
|
|
}
|
|
|
|
if (sd::ArrayOptions::arrayType(xShapeInfo) == sd::ArrayType::EMPTY) {
|
|
if (sd::ArrayOptions::arrayType(zShapeInfo) == sd::ArrayType::EMPTY) return;
|
|
const auto startingVal = OpType::startingValue(x);
|
|
|
|
for (sd::LongType i = 0; i < length; i++) {
|
|
z[i] = startingVal;
|
|
}
|
|
return;
|
|
}
|
|
|
|
auto startingValue = OpType::startingValue(x);
|
|
int maxThreads = sd::math::sd_min<int>(64, sd::Environment::getInstance().maxThreads());
|
|
X intermediate[64];
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (auto e = 0; e < maxThreads; e++) {
|
|
intermediate[e] = startingValue;
|
|
}
|
|
|
|
sd::LongType xRank = shape::rank(xShapeInfo);
|
|
sd::LongType* xShape = shape::shapeOf(xShapeInfo);
|
|
sd::LongType* xStride = shape::stride(xShapeInfo);
|
|
if(shape::isViewConst(xShapeInfo)) {
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++) {
|
|
sd::LongType coords[SD_MAX_RANK];
|
|
INDEX2COORDS(i, xRank, xShape, coords);
|
|
sd::LongType indexOffset;
|
|
COORDS2INDEX(xRank, xStride, coords, indexOffset);
|
|
intermediate[thread_id] = OpType::update(intermediate[thread_id], OpType::op(x[indexOffset], extraParams), extraParams);
|
|
}
|
|
};
|
|
maxThreads = samediff::Threads::parallel_for(func, 0, length, 1, maxThreads);
|
|
PRAGMA_OMP_SIMD
|
|
for (int e = 1; e < maxThreads; e++) {
|
|
intermediate[0] = OpType::update(intermediate[0], intermediate[e], extraParams);
|
|
}
|
|
|
|
z[0] = OpType::postProcess(intermediate[0], length, extraParams);
|
|
} else {
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++) {
|
|
intermediate[thread_id] = OpType::update(intermediate[thread_id], OpType::op(x[i], extraParams), extraParams);
|
|
}
|
|
};
|
|
maxThreads = samediff::Threads::parallel_for(func, 0, length, 1, maxThreads);
|
|
PRAGMA_OMP_SIMD
|
|
for (int e = 1; e < maxThreads; e++) {
|
|
intermediate[0] = OpType::update(intermediate[0], intermediate[e], extraParams);
|
|
}
|
|
|
|
z[0] = OpType::postProcess(intermediate[0], length, extraParams);
|
|
}
|
|
}
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
Z SD_HOST ReduceBoolFunction<X, Z>::execScalar(const void *vx, const sd::LongType *xShapeInfo, void *vextraParams) {
|
|
auto x = reinterpret_cast<const X *>(vx);
|
|
auto extraParams = reinterpret_cast<X *>(vextraParams);
|
|
|
|
const sd::LongType length = shape::length(xShapeInfo);
|
|
auto startingValue = OpType::startingValue(x);
|
|
|
|
sd::LongType xRank = shape::rank(xShapeInfo);
|
|
sd::LongType *xShape = shape::shapeOf(xShapeInfo);
|
|
sd::LongType *xStride = shape::stride(xShapeInfo);
|
|
|
|
for (sd::LongType i = 0; i < length; i++) {
|
|
sd::LongType coords[SD_MAX_RANK];
|
|
INDEX2COORDS(i, xRank, xShape, coords);
|
|
sd::LongType offset;
|
|
COORDS2INDEX(xRank, xStride, coords, offset);
|
|
startingValue = OpType::update(startingValue, OpType::op(x[offset], extraParams), extraParams);
|
|
}
|
|
return OpType::postProcess(startingValue, length, extraParams);
|
|
}
|
|
|
|
template <typename X, typename Z>
|
|
Z ReduceBoolFunction<X, Z>::execScalar(const int opNum, const void *x, const sd::LongType *xShapeInfo,
|
|
void *extraParams) {
|
|
RETURNING_DISPATCH_BY_OPNUM_TT(execScalar, PARAMS(x, xShapeInfo, extraParams), REDUCE_BOOL_OPS);
|
|
|
|
|
|
}
|
|
|
|
template <typename X, typename Z>
|
|
void ReduceBoolFunction<X, Z>::execScalar(const int opNum, const void *x, const sd::LongType *xShapeInfo,
|
|
void *extraParams, void *z, const sd::LongType *zShapeInfo) {
|
|
DISPATCH_BY_OPNUM_TT(execScalar, PARAMS(x, xShapeInfo, extraParams, z, zShapeInfo), REDUCE_BOOL_OPS);
|
|
|
|
|
|
}
|
|
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
void SD_HOST ReduceBoolFunction<X, Z>::exec(const void *x, const sd::LongType *xShapeInfo, void *extraParams,
|
|
void *vresult, const sd::LongType *resultShapeInfo) {
|
|
auto z = reinterpret_cast<Z *>(vresult);
|
|
z[0] = execScalar<OpType>(x, xShapeInfo, extraParams);
|
|
}
|
|
|
|
template <typename X, typename Z>
|
|
template <typename OpType>
|
|
void SD_HOST ReduceBoolFunction<X, Z>::exec(sd::memory::Workspace *workspace, const void *vx,
|
|
const sd::LongType *xShapeInfo, void *vextraParams, void *vz,
|
|
const sd::LongType *zShapeInfo, const sd::LongType *dims) {
|
|
const X *x = reinterpret_cast<const X *>(vx);
|
|
Z *z = reinterpret_cast<Z *>(vz);
|
|
X *extraParams = reinterpret_cast<X *>(vextraParams);
|
|
|
|
const sd::LongType xRank = shape::rank(xShapeInfo);
|
|
const sd::LongType zRank = shape::rank(zShapeInfo);
|
|
|
|
if (sd::ArrayOptions::arrayType(xShapeInfo) == sd::ArrayType::EMPTY) {
|
|
const auto startingVal = OpType::startingValue(x);
|
|
const auto zLen = shape::length(zShapeInfo);
|
|
if(z != nullptr)
|
|
for (sd::LongType i = 0; i < zLen; i++) {
|
|
#if defined(PRINT_INDICES)
|
|
shape::printShapeInfo(xShapeInfo);
|
|
shape::printShapeInfo(zShapeInfo);
|
|
printf("i: %lld\n ReduceBoolFunction<X, Z>::exec", i);
|
|
#endif
|
|
z[i] = startingVal;
|
|
}
|
|
return;
|
|
}
|
|
|
|
if (shape::length(zShapeInfo) == 1) {
|
|
z[0] = execScalar<OpType>(x, xShapeInfo, extraParams);
|
|
return;
|
|
}
|
|
|
|
#ifdef SD_LOOPS_INLINED
|
|
sd::ReductionLoops<X, Z, X>::template loopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims, extraParams);
|
|
#else
|
|
sd::ReductionBoolLoops<X, Z>::template innerloopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims,
|
|
extraParams);
|
|
#endif
|
|
}
|
|
|
|
template <typename X, typename Z>
|
|
void ReduceBoolFunction<X, Z>::exec(int opNum, sd::memory::Workspace *workspace, const void *vx,
|
|
const sd::LongType *xShapeInfo, void *vextraParams, void *vz,
|
|
const sd::LongType *zShapeInfo, const sd::LongType *dims) {
|
|
DISPATCH_BY_OPNUM_TT(exec, PARAMS(workspace, vx, xShapeInfo, vextraParams, vz, zShapeInfo, dims), REDUCE_BOOL_OPS);
|
|
}
|
|
} // namespace reduce
|
|
} // namespace functions
|