125 lines
4.8 KiB
C++
125 lines
4.8 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 Yurii Shyrma (iuriish@yahoo.com)
|
|
//
|
|
|
|
#include <ops/declarable/helpers/stack.h>
|
|
#include <helpers/ShapeUtils.h>
|
|
#include <array/ResultSet.h>
|
|
#include <execution/Threads.h>
|
|
#include <helpers/ConstantTadHelper.h>
|
|
|
|
|
|
namespace sd {
|
|
namespace ops {
|
|
namespace helpers {
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
static void stack_(const std::vector<const NDArray*>& inArrs, NDArray& output, const int dim) {
|
|
|
|
const int numOfSubArrs = inArrs.size();
|
|
|
|
if(inArrs[0]->rankOf() == 0) {
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++)
|
|
output.p<T>(i, inArrs[i]->t<T>(0));
|
|
};
|
|
|
|
samediff::Threads::parallel_for(func, 0, numOfSubArrs);
|
|
}
|
|
else {
|
|
|
|
auto zTadPack = ConstantTadHelper::getInstance().tadForDimensions(output.shapeInfo(), ShapeUtils::evalDimsToExclude(output.rankOf(), {dim}));
|
|
auto zTadShapeInfo = zTadPack.primaryShapeInfo();
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
|
|
for (auto i = start; i < stop; i++) {
|
|
|
|
void* zBuff = output.bufferWithOffset(zTadPack.primaryOffsets()[i]);
|
|
|
|
NativeOpExecutioner::execTransformAny(inArrs[0]->getContext(), transform::Assign,
|
|
inArrs[i]->buffer(), inArrs[i]->shapeInfo(), nullptr/*input specialBuffer*/, nullptr/*input special*/,
|
|
zBuff, zTadShapeInfo, nullptr/*output specialBuffer*/, nullptr/*output special*/,
|
|
nullptr, nullptr, nullptr, false/*allowParallelism*/);
|
|
}
|
|
};
|
|
|
|
samediff::Threads::parallel_tad(func, 0, numOfSubArrs);
|
|
}
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void stack(sd::LaunchContext * context, const std::vector<const NDArray*>& inArrs, NDArray& output, const int dim) {
|
|
BUILD_SINGLE_SELECTOR(output.dataType(), stack_, (inArrs, output, dim), LIBND4J_TYPES);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template void stack_ , (const std::vector<const NDArray*>& inArrs, NDArray& output, const int dim), LIBND4J_TYPES);
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
static void unstack_(const NDArray& input, const std::vector<NDArray*>& outArrs, const int dim) {
|
|
|
|
const int numOfSubArrs = outArrs.size();
|
|
|
|
if(outArrs[0]->rankOf() == 0) {
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++)
|
|
outArrs[i]->p<T>(0, input.t<T>(i));
|
|
};
|
|
|
|
samediff::Threads::parallel_for(func, 0, numOfSubArrs);
|
|
}
|
|
else {
|
|
|
|
auto xTadPack = ConstantTadHelper::getInstance().tadForDimensions(input.shapeInfo(), ShapeUtils::evalDimsToExclude(input.rankOf(), {dim}));
|
|
auto xTadShapeInfo = xTadPack.primaryShapeInfo();
|
|
|
|
auto func = PRAGMA_THREADS_FOR {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto xBuff = input.bufferWithOffset(xTadPack.primaryOffsets()[i]);
|
|
|
|
NativeOpExecutioner::execTransformAny(input.getContext(), transform::Assign,
|
|
xBuff, xTadShapeInfo, nullptr/*input specialBuffer*/, nullptr/*input special*/,
|
|
outArrs[i]->buffer(), outArrs[i]->shapeInfo(), nullptr/*output specialBuffer*/, nullptr/*output special*/,
|
|
nullptr, nullptr, nullptr, false/*allowParallelism*/);
|
|
}
|
|
};
|
|
|
|
samediff::Threads::parallel_tad(func, 0, numOfSubArrs);
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void unstack(sd::LaunchContext* context, const NDArray& input, const std::vector<NDArray*>& outArrs, const int dim) {
|
|
BUILD_SINGLE_SELECTOR(input.dataType(), unstack_, (input, outArrs, dim), LIBND4J_TYPES);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template void unstack_, (const NDArray& input, const std::vector<NDArray*>& outArrs, const int dim), LIBND4J_TYPES);
|
|
|
|
}
|
|
}
|
|
}
|
|
|