90 lines
3.7 KiB
C++
90 lines
3.7 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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// Created by raver119 on 24.04.17.
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//
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#ifndef LIBND4J_SPECIALS_H
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#define LIBND4J_SPECIALS_H
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#ifdef __CUDACC__
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#define ELEMENT_THRESHOLD 8192
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#define TAD_THRESHOLD 2
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#endif
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#include <system/pointercast.h>
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#include <vector>
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namespace sd {
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class NDArray;
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//FIXME: get rid of this redefinition
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typedef union
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{
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float f_;
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int i_;
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} FloatBits2;
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class ND4J_EXPORT SpecialTypeConverter {
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public:
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template<typename S, typename T>
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static void convertGeneric(Nd4jPointer * extras, void *dx, Nd4jLong N, void *dz);
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};
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template <typename T>
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class ND4J_EXPORT SpecialMethods {
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public:
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static void concatCpuGeneric(const std::vector<const NDArray*>& inArrs, NDArray& output, int axis);
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static void concatCpuGeneric(int dimension, int numArrays, Nd4jPointer *data, Nd4jPointer *inputShapeInfo, void *result, Nd4jLong const* resultShapeInfo);
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static void splitCpuGeneric(const NDArray& input, const std::vector<NDArray*>& outArrs, int axis);
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static void accumulateGeneric(void **x, void *z, const Nd4jLong *zShapeInfo, int n, Nd4jLong length);
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static void averageGeneric(void **x, void *z, const Nd4jLong *zShapeInfo, int n, Nd4jLong length, bool propagate);
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static Nd4jLong getPosition(const Nd4jLong *xShapeInfo, Nd4jLong index);
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static void quickSort_parallel_internal(T* array, const Nd4jLong *xShapeInfo, int left, int right, int cutoff, bool descending);
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static void quickSort_parallel(void* array, const Nd4jLong *xShapeInfo, Nd4jLong lenArray, int numThreads, bool descending);
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static int nextPowerOf2(int number);
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static int lastPowerOf2(int number);
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static void sortGeneric(void *x, const Nd4jLong *xShapeInfo, bool descending);
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static void sortTadGeneric(void *x, const Nd4jLong *xShapeInfo, int *dimension, int dimensionLength, const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets, bool descending);
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static void decodeBitmapGeneric(const void *dx, Nd4jLong N, void *dz, const Nd4jLong *zShapeInfo);
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static Nd4jLong encodeBitmapGeneric(void *dx, const Nd4jLong *zShapeInfo, Nd4jLong N, int *dz, float threshold);
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};
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template <typename X, typename Y>
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class ND4J_EXPORT DoubleMethods{
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public:
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static void sortByKey(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, bool descending);
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static void sortByValue(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, bool descending);
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static void sortTadByKey(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int *dimension, int dimensionLength, bool descending);
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static void sortTadByValue(void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int *dimension, int dimensionLength, bool descending);
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};
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}
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#endif //LIBND4J_SPECIALS_H
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