cavis/libnd4j/include/helpers/cpu/ConstantTadHelper.cpp

90 lines
3.9 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 "../ConstantTadHelper.h"
#include <helpers/TAD.h>
#include <helpers/ShapeUtils.h>
#include <array/ConstantOffsetsBuffer.h>
#include <array/PrimaryPointerDeallocator.h>
#ifndef __CUDABLAS__
namespace sd {
ConstantTadHelper::ConstantTadHelper() {
MAP_IMPL<TadDescriptor, TadPack> pack;
_cache.emplace_back(pack);
}
ConstantTadHelper& ConstantTadHelper::getInstance() {
static ConstantTadHelper instance;
return instance;
}
TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, int dimension, const bool keepUnitiesInShape) {
return tadForDimensions(originalShape, &dimension, 1, keepUnitiesInShape);
}
TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, const std::vector<int> &dimensions, const bool keepUnitiesInShape) {
return tadForDimensions(originalShape, const_cast<int *>(dimensions.data()), dimensions.size(), keepUnitiesInShape);
}
TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, int* dimensions, int dimLength, const bool keepUnitiesInShape) {
TadDescriptor tadDescriptor(originalShape, dimensions, dimLength, keepUnitiesInShape);
return tadForDimensions(tadDescriptor);
}
TadPack ConstantTadHelper::tadForDimensions(ShapeDescriptor &descriptor, std::vector<int> &dimensions, const bool keepUnitiesInShape) {
TadDescriptor tadDescriptor(descriptor, dimensions, keepUnitiesInShape);
return tadForDimensions(tadDescriptor);
}
TadPack ConstantTadHelper::tadForDimensions(TadDescriptor &descriptor) {
const int deviceId = 0;
std::lock_guard<std::mutex> lock(_mutex);
if (_cache[deviceId].count(descriptor) == 0) {
// if there's no TadPack matching this descriptor - create one
const auto shapeInfo = descriptor.originalShape().toShapeInfo();
const int rank = shape::rank(shapeInfo);
const std::vector<int> dimsToExclude = ShapeUtils::evalDimsToExclude(rank, descriptor.axis());
const Nd4jLong numOfSubArrs = ShapeUtils::getNumOfSubArrs(shapeInfo, dimsToExclude);
const int subArrRank = (rank == dimsToExclude.size() || descriptor.areUnitiesinShape()) ? rank : rank - dimsToExclude.size();
auto sPtr = std::make_shared<PointerWrapper>(new Nd4jLong[shape::shapeInfoLength(subArrRank)], std::make_shared<PrimaryPointerDeallocator>()); // shape of sub-arrays (same for all for them)
auto oPtr = std::make_shared<PointerWrapper>(new Nd4jLong[numOfSubArrs], std::make_shared<PrimaryPointerDeallocator>());
if (numOfSubArrs > 0)
shape::calcSubArrsShapeInfoAndOffsets(shapeInfo, numOfSubArrs, dimsToExclude.size(), dimsToExclude.data(), sPtr->pointerAsT<Nd4jLong>(), oPtr->pointerAsT<Nd4jLong>(), descriptor.areUnitiesinShape());
ConstantShapeBuffer shapeBuffer(sPtr);
ConstantOffsetsBuffer offsetsBuffer(oPtr);
TadPack t(shapeBuffer, offsetsBuffer, numOfSubArrs);
_cache[deviceId][descriptor] = t;
delete[] shapeInfo;
}
return _cache[deviceId][descriptor];
}
}
#endif