92 lines
4.0 KiB
C++
92 lines
4.0 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include "../ConstantTadHelper.h"
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#include <helpers/TAD.h>
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#include <helpers/ShapeUtils.h>
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#include <array/ConstantOffsetsBuffer.h>
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#include <array/PrimaryPointerDeallocator.h>
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#ifndef __CUDABLAS__
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namespace sd {
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ConstantTadHelper::ConstantTadHelper() {
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MAP_IMPL<TadDescriptor, TadPack> pack;
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_cache.emplace_back(pack);
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}
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ConstantTadHelper& ConstantTadHelper::getInstance() {
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static ConstantTadHelper instance;
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return instance;
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}
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TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, int dimension, const bool keepUnitiesInShape) {
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return tadForDimensions(originalShape, &dimension, 1, keepUnitiesInShape);
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}
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TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, const std::vector<int> &dimensions, const bool keepUnitiesInShape) {
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return tadForDimensions(originalShape, const_cast<int *>(dimensions.data()), dimensions.size(), keepUnitiesInShape);
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}
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TadPack ConstantTadHelper::tadForDimensions(const Nd4jLong *originalShape, int* dimensions, int dimLength, const bool keepUnitiesInShape) {
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TadDescriptor tadDescriptor(originalShape, dimensions, dimLength, keepUnitiesInShape);
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return tadForDimensions(tadDescriptor);
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}
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TadPack ConstantTadHelper::tadForDimensions(ShapeDescriptor &descriptor, std::vector<int> &dimensions, const bool keepUnitiesInShape) {
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TadDescriptor tadDescriptor(descriptor, dimensions, keepUnitiesInShape);
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return tadForDimensions(tadDescriptor);
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}
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TadPack ConstantTadHelper::tadForDimensions(TadDescriptor &descriptor) {
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const int deviceId = 0;
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std::lock_guard<std::mutex> lock(_mutex);
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if (_cache[deviceId].count(descriptor) == 0) {
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// if there's no TadPack matching this descriptor - create one
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const auto shapeInfo = descriptor.originalShape().toShapeInfo();
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const int rank = shape::rank(shapeInfo);
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const std::vector<int> dimsToExclude = ShapeUtils::evalDimsToExclude(rank, descriptor.axis());
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const Nd4jLong numOfSubArrs = ShapeUtils::getNumOfSubArrs(shapeInfo, dimsToExclude);
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const int subArrRank = (rank == dimsToExclude.size() || descriptor.areUnitiesinShape()) ? rank : rank - dimsToExclude.size();
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auto sPtr = std::make_shared<PointerWrapper>(new Nd4jLong[shape::shapeInfoLength(subArrRank)], std::make_shared<PrimaryPointerDeallocator>()); // shape of sub-arrays (same for all for them)
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auto oPtr = std::make_shared<PointerWrapper>(new Nd4jLong[numOfSubArrs], std::make_shared<PrimaryPointerDeallocator>());
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if (numOfSubArrs > 0)
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shape::calcSubArrsShapeInfoAndOffsets(shapeInfo, numOfSubArrs, dimsToExclude.size(), dimsToExclude.data(), sPtr->pointerAsT<Nd4jLong>(), oPtr->pointerAsT<Nd4jLong>(), descriptor.areUnitiesinShape());
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ConstantShapeBuffer shapeBuffer(sPtr);
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ConstantOffsetsBuffer offsetsBuffer(oPtr);
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TadPack t(shapeBuffer, offsetsBuffer, numOfSubArrs);
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_cache[deviceId][descriptor] = t;
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delete[] shapeInfo;
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}
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return _cache[deviceId][descriptor];
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}
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}
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#endif |