2995 lines
104 KiB
C++
2995 lines
104 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* 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 agibsonccc on 2/21/16.
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//
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#define __STDC_CONSTANT_MACROS
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#include "../NativeOps.h"
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#include "NativeOpExecutioner.h"
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#include "../NDArray.h"
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#include "../GraphExecutioner.h"
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#include <graph/GraphHolder.h>
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#include <templatemath.h>
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#include <types/float8.h>
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#include <loops/type_conversions.h>
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#include <loops/aggregates.h>
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#include <helpers/helper_ptrmap.h>
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#include <helpers/logger.h>
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#include <pointercast.h>
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#include <pairwise_util.h>
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#include <types/types.h>
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#include <ops/declarable/helpers/transforms.h>
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#include <exceptions/allocation_exception.h>
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#include <fcntl.h>
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#include <stdio.h>
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#include <stdlib.h>
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#ifndef _WIN32
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#include <unistd.h>
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#include <sys/mman.h>
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#else
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#include <io.h>
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#include <helpers/mman.h>
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#endif
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#include <sys/types.h>
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#include <ops/declarable/CustomOperations.h>
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#include <errno.h>
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char *name;
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bool nameSet = false;
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#ifdef __ND4J_EXPERIMENTAL__
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bool experimentalSupport = true;
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#else
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bool experimentalSupport = false;
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#endif
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#include <ops/specials.h>
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#include "../Environment.h"
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#include <TAD.h>
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#include <ops/declarable/OpRegistrator.h>
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#include <graph/Context.h>
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#include <graph/ResultWrapper.h>
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#include <helpers/DebugHelper.h>
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#include <helpers/ConstantTadHelper.h>
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#include <performance/benchmarking/BenchmarkSuit.h>
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#include <performance/benchmarking/FullBenchmarkSuit.h>
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#include <performance/benchmarking/LightBenchmarkSuit.h>
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using namespace nd4j;
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void setElementThreshold(int num) {
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if (num > 0)
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nd4j::Environment::getInstance()->setElementwiseThreshold(num);
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}
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void setTADThreshold(int num) {
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if (num > 0)
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nd4j::Environment::getInstance()->setTadThreshold(num);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param extraParams
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*/
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void execIndexReduceScalar(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo) {
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NativeOpExecutioner::execIndexReduceScalar(nullptr, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hZ, hZShapeInfo, dZ, dZShapeInfo);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param extraParams
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* @param hZ
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* @param hZShapeInfo
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* @param dimension
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* @param dimensionLength
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*/
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void execIndexReduce(Nd4jPointer *extraPointers,int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPack.primaryShapeInfo();
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auto hTADOffsets = tadPack.primaryOffsets();
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auto hz = reinterpret_cast<Nd4jLong*>(hZ);
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NativeOpExecutioner::execIndexReduce(nullptr, opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hz,
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hZShapeInfo,
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dZ,
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dZShapeInfo,
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dimension,
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dimensionLength,
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hTADShapeInfo,
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hTADOffsets);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param hY
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* @param hYShapeInfo
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* @param hZ
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* @param hZShapeInfo
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* @param dimension
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* @param dimensionLength
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*/
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void execBroadcast(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *hY, Nd4jLong *hYShapeInfo,
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void *dY, Nd4jLong *dYShapeInfo,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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auto tadPackX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto tadPackZ = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hZShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPackX.primaryShapeInfo();
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auto hTADOffsets = tadPackX.primaryOffsets();
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auto hTADShapeInfoZ = tadPackZ.primaryShapeInfo();
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auto hTADOffsetsZ = tadPackZ.primaryOffsets();
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NativeOpExecutioner::execBroadcast(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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hY,
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hYShapeInfo,
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dY,
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dYShapeInfo,
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hZ, hZShapeInfo,
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dZ, dZShapeInfo,
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dimension,
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dimensionLength, hTADShapeInfo, hTADOffsets, hTADShapeInfoZ, hTADOffsetsZ);
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}
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void execBroadcastBool(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *hY, Nd4jLong *hYShapeInfo,
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void *dY, Nd4jLong *dYShapeInfo,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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auto tadPackX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto tadPackZ = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hZShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPackX.primaryShapeInfo();
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auto hTADOffsets = tadPackX.primaryOffsets();
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auto hTADShapeInfoZ = tadPackZ.primaryShapeInfo();
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auto hTADOffsetsZ = tadPackZ.primaryOffsets();
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NativeOpExecutioner::execBroadcastBool(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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hY,
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hYShapeInfo,
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dY,
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dYShapeInfo,
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hZ, hZShapeInfo,
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dZ, dZShapeInfo,
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dimension,
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dimensionLength, hTADShapeInfo, hTADOffsets, hTADShapeInfoZ, hTADOffsetsZ);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param hY
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* @param hYShapeInfo
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* @param hZ
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* @param hZShapeInfo
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* @param extraParams
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* @param n
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*/
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void execPairwiseTransform(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *hY, Nd4jLong *hYShapeInfo,
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void *dY, Nd4jLong *dYShapeInfo,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *extraParams) {
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NativeOpExecutioner::execPairwiseTransform(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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hY,
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hYShapeInfo,
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dY,
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dYShapeInfo,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo,
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extraParams);
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}
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void execPairwiseTransformBool(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *hY, Nd4jLong *hYShapeInfo,
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void *dY, Nd4jLong *dYShapeInfo,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *extraParams) {
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NativeOpExecutioner::execPairwiseBoolTransform(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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hY,
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hYShapeInfo,
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dY,
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dYShapeInfo,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo,
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extraParams);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param extraParams
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* @param hZ
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* @param hZShapeInfo
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*/
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void execReduceFloat(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo) {
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NativeOpExecutioner::execReduceFloatScalar(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo);
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}
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void execReduceSame(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo) {
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NativeOpExecutioner::execReduceSameScalar(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo);
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}
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void execReduceBool(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo) {
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NativeOpExecutioner::execReduceBoolScalar(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo);
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}
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void execReduceLong(
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Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo) {
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NativeOpExecutioner::execReduceLongScalar(nullptr,
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opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo);
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}
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/**
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*
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* @param opNum
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* @param hX
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* @param hXShapeInfo
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* @param extraParams
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* @param hZ
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* @param hZShapeInfo
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*/
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void execReduceFloat2(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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auto tadPackX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPackX.primaryShapeInfo();
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auto hTADOffsets = tadPackX.primaryOffsets();
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NativeOpExecutioner::execReduceFloat(nullptr, opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo,
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dimension,
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dimensionLength,
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hTADShapeInfo,
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hTADOffsets);
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}
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void execReduceBool2(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPack.primaryShapeInfo();
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auto hTADOffsets = tadPack.primaryOffsets();
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NativeOpExecutioner::execReduceBool(nullptr, opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
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hZShapeInfo,
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dZ,
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dZShapeInfo,
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dimension,
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dimensionLength,
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hTADShapeInfo,
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hTADOffsets);
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}
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void execReduceSame2(Nd4jPointer *extraPointers,
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int opNum,
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void *hX, Nd4jLong *hXShapeInfo,
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void *dX, Nd4jLong *dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
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void *dZ, Nd4jLong *dZShapeInfo,
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void *hDimension, Nd4jLong *hDimensionShape,
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void *dDimension, Nd4jLong *dDimensionShape) {
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auto dimension = reinterpret_cast<int *>(hDimension);
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int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
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|
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
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auto hTADShapeInfo = tadPack.primaryShapeInfo();
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auto hTADOffsets = tadPack.primaryOffsets();
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NativeOpExecutioner::execReduceSame(nullptr, opNum,
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hX,
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hXShapeInfo,
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dX,
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dXShapeInfo,
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extraParams,
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hZ,
|
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hZShapeInfo,
|
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dZ,
|
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dZShapeInfo,
|
|
dimension,
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dimensionLength,
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hTADShapeInfo,
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hTADOffsets);
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}
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|
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void execReduceLong2(Nd4jPointer *extraPointers,
|
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int opNum,
|
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void *hX, Nd4jLong *hXShapeInfo,
|
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void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
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void *hZ, Nd4jLong *hZShapeInfo,
|
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void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape) {
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
|
|
|
|
auto hTADShapeInfo = tadPack.primaryShapeInfo();
|
|
auto hTADOffsets = tadPack.primaryOffsets();
|
|
|
|
NativeOpExecutioner::execReduceLong(nullptr, opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
dimension,
|
|
dimensionLength,
|
|
hTADShapeInfo,
|
|
hTADOffsets);
|
|
}
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParamsVals
|
|
* @param hY
|
|
* @param hYShapeInfo
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
*/
|
|
void execReduce3(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo) {
|
|
|
|
NativeOpExecutioner::execReduce3(nullptr, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo);
|
|
}
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParamsVals
|
|
* @param hY
|
|
* @param hYShapeInfo
|
|
*/
|
|
void execReduce3Scalar(Nd4jPointer *extraPointers,int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo) {
|
|
|
|
NativeOpExecutioner::execReduce3Scalar(nullptr, opNum,hX,hXShapeInfo,dX, dXShapeInfo,extraParams,hY,hYShapeInfo,dY,dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo);
|
|
}
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParamsVals
|
|
* @param hY
|
|
* @param hYShapeInfo
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
* @param dimension
|
|
* @param dimensionLength
|
|
*/
|
|
void execReduce3Tad(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape,
|
|
Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets,
|
|
Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets) {
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
if (extraPointers == nullptr || extraPointers[2] == 0) {
|
|
NativeOpExecutioner::execReduce3(LaunchContext::defaultContext(), opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, yTadOnlyShapeInfo, yTadOffsets);
|
|
} else {
|
|
// going tad-way
|
|
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
|
|
|
|
auto hTADShapeInfo = tadPack.primaryShapeInfo();
|
|
auto hTADOffsets = tadPack.primaryOffsets();
|
|
|
|
NativeOpExecutioner::execReduce3TAD(LaunchContext::defaultContext(), opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, hTADShapeInfo, hTADOffsets, nullptr, nullptr);
|
|
}
|
|
}
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
* @param hScalar
|
|
* @param extraParams
|
|
* @param n
|
|
*/
|
|
void execScalar(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hScalar, Nd4jLong *hScalarShapeInfo,
|
|
void *dScalar, Nd4jLong *dScalarShapeInfo,
|
|
void *extraParams) {
|
|
NativeOpExecutioner::execScalar(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
hScalar,
|
|
hScalarShapeInfo,
|
|
dScalar,
|
|
dScalarShapeInfo,
|
|
extraParams);
|
|
}
|
|
|
|
void execScalarBool(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hScalar, Nd4jLong *hScalarShapeInfo,
|
|
void *dScalar, Nd4jLong *dScalarShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execScalarBool(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
hScalar,
|
|
hScalarShapeInfo,
|
|
dScalar,
|
|
dScalarShapeInfo,
|
|
extraParams);
|
|
}
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParams
|
|
*/
|
|
void execSummaryStatsScalar(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
bool biasCorrected) {
|
|
NativeOpExecutioner::execSummaryStatsScalar(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
biasCorrected);
|
|
}
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParams
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
*/
|
|
void execSummaryStats(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
bool biasCorrected) {
|
|
NativeOpExecutioner::execSummaryStats(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
biasCorrected);
|
|
}
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param extraParams
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
* @param dimension
|
|
* @param dimensionLength
|
|
*/
|
|
void execSummaryStatsTad(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape,
|
|
bool biasCorrected,
|
|
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets) {
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
|
|
NativeOpExecutioner::execSummaryStats(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
dimension,
|
|
dimensionLength,
|
|
tadShapeInfo,
|
|
tadOffsets,
|
|
biasCorrected);
|
|
|
|
}
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param hX
|
|
* @param hXShapeInfo
|
|
* @param hZ
|
|
* @param hZShapeInfo
|
|
* @param extraParams
|
|
* @param n
|
|
*/
|
|
void execTransformFloat(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execTransformFloat(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dZ,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
extraParams,
|
|
nullptr,
|
|
nullptr);
|
|
}
|
|
|
|
void execTransformSame(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execTransformSame(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
extraParams,
|
|
nullptr,
|
|
nullptr);
|
|
}
|
|
|
|
void execTransformBool(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execTransformBool(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
extraParams,
|
|
nullptr,
|
|
nullptr);
|
|
}
|
|
|
|
void execTransformAny(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execTransformAny(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
extraParams,
|
|
nullptr,
|
|
nullptr);
|
|
}
|
|
|
|
void execTransformStrict(
|
|
Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraParams) {
|
|
|
|
NativeOpExecutioner::execTransformStrict(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
extraParams,
|
|
nullptr,
|
|
nullptr);
|
|
}
|
|
|
|
void execReduce3All(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *extraParamsVals,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape,
|
|
Nd4jLong *xTadShapeInfo,
|
|
Nd4jLong *xOffsets,
|
|
Nd4jLong *yTadShapeInfo,
|
|
Nd4jLong *yOffsets) {
|
|
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
|
|
NativeOpExecutioner::execReduce3All(nullptr, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParamsVals, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, xTadShapeInfo, xOffsets, yTadShapeInfo, yOffsets);
|
|
}
|
|
|
|
|
|
template <typename T>
|
|
void flattenGeneric(Nd4jPointer *extraPointers,
|
|
int offset,
|
|
char order,
|
|
void *vresult,
|
|
Nd4jLong *hZShapeInfo,
|
|
void *vinput,
|
|
Nd4jLong *inputShapeInfo) {
|
|
|
|
auto hZ = reinterpret_cast<T *>(vresult);
|
|
auto input = reinterpret_cast<T *>(vinput);
|
|
|
|
int numOnes = 0;
|
|
auto shape = shape::shapeOf(inputShapeInfo);
|
|
int wholeRank = shape::rank(inputShapeInfo);
|
|
for(int i = 0; i < wholeRank; i++) {
|
|
if(shape[i] == 1)
|
|
numOnes++;
|
|
}
|
|
|
|
|
|
|
|
//start at the given offset
|
|
hZ += offset;
|
|
char inputOrder = shape::order(inputShapeInfo);
|
|
auto len = shape::length(inputShapeInfo);
|
|
auto resultEleStride = shape::elementWiseStride(hZShapeInfo);
|
|
auto inputEleStride = shape::elementWiseStride(inputShapeInfo);
|
|
Nd4jLong numTads, stride;
|
|
int dimension, dimensionLength;
|
|
int rank = shape::rank(inputShapeInfo);
|
|
auto xStride = shape::stride(inputShapeInfo);
|
|
auto xShape = shape::shapeOf(inputShapeInfo);
|
|
|
|
dimensionLength = 1;
|
|
if(order == 'f') {
|
|
dimension = 0;
|
|
}
|
|
else {
|
|
dimension = rank - 1;
|
|
}
|
|
stride = xStride[dimension];
|
|
// numTads is product of length of all dimensions excluding
|
|
// the one we do the tad on
|
|
numTads = 1;
|
|
for (int i = 0; i < rank; i++) {
|
|
if (i != dimension)
|
|
numTads *= xShape[i];
|
|
}
|
|
|
|
if (inputOrder == order) {
|
|
if (resultEleStride == 1 && inputEleStride == 1) {
|
|
memcpy(hZ, input, len* sizeof(T));
|
|
}
|
|
else if (resultEleStride >= 1 && inputEleStride >= 1) {
|
|
if (len < ELEMENT_THRESHOLD) {
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (int i = 0; i < len; i++) {
|
|
hZ[i * resultEleStride] = input[i * inputEleStride];
|
|
}
|
|
}
|
|
else {
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD
|
|
for (int i = 0; i < len; i++) {
|
|
hZ[i * resultEleStride] = input[i * inputEleStride];
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
int idx = 0;
|
|
for(int i = 0; i < len; i++)
|
|
hZ[idx++] = input[shape::getIndexOffset(i, inputShapeInfo, len)];
|
|
}
|
|
}
|
|
else {
|
|
int rank = shape::rank(inputShapeInfo);
|
|
auto xShape = shape::shapeOf(inputShapeInfo);
|
|
auto tadShape = xShape[dimension];
|
|
|
|
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(inputShapeInfo, dimension);
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR
|
|
for(int i = 0; i < numTads; i++) {
|
|
|
|
Nd4jLong resultOffset;
|
|
|
|
if (order == 'f') {
|
|
// 1. get c ordering coordinates
|
|
auto cIndexCoordinates = new Nd4jLong[rank - 1];
|
|
int divisor = 1;
|
|
for (int dim = rank - 1; dim > 0; dim--) {
|
|
cIndexCoordinates[dim - 1] = (i / divisor) % xShape[dim];
|
|
divisor *= xShape[dim];
|
|
}
|
|
|
|
|
|
// 2. convert to f ordering index
|
|
int fIndex = 0;
|
|
int multiplier = 1;
|
|
for (int dim = 1; dim <= rank - 1; dim++) {
|
|
fIndex += cIndexCoordinates[dim - 1] * multiplier;
|
|
multiplier *= xShape[dim];
|
|
}
|
|
|
|
resultOffset = fIndex * tadShape;
|
|
delete[] cIndexCoordinates;
|
|
|
|
}
|
|
else {
|
|
resultOffset = i * tadShape;
|
|
}
|
|
|
|
auto tadOffset = tadPack.primaryOffsets()[i];
|
|
for( int j = 0; j < tadShape; j++) {
|
|
|
|
// TAD are returned in C ordering always
|
|
hZ[resultOffset + j] = input[tadOffset + j * stride];
|
|
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Concatneate multi array of the same shape together
|
|
* along a particular dimension
|
|
*/
|
|
void concat(
|
|
Nd4jPointer *extraPointers,
|
|
int dimension,
|
|
int numArrays,
|
|
Nd4jPointer *data, Nd4jPointer *inputShapeInfo,
|
|
Nd4jPointer *ddata, Nd4jPointer *dinputShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
Nd4jPointer *tadPointers,
|
|
Nd4jPointer *offsetPointers) {
|
|
|
|
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(zType, nd4j::SpecialMethods, ::concatCpuGeneric(dimension, numArrays, data, inputShapeInfo, hZ, hZShapeInfo), LIBND4J_TYPES);
|
|
}
|
|
|
|
/**
|
|
* Concatneate multi array of the same shape together
|
|
* along a particular dimension
|
|
*/
|
|
void specialConcat(
|
|
Nd4jPointer *extraPointers,
|
|
int dimension,
|
|
int numArrays,
|
|
Nd4jPointer *data,
|
|
Nd4jPointer *inputShapeInfo,
|
|
void *hZ,
|
|
Nd4jLong *hZShapeInfo,
|
|
Nd4jPointer *tadPointers,
|
|
Nd4jPointer *offsetPointers) {
|
|
|
|
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(zType, nd4j::SpecialMethods, ::concatCpuGeneric(dimension, numArrays, data, inputShapeInfo, hZ, hZShapeInfo), LIBND4J_TYPES);
|
|
}
|
|
|
|
/**
|
|
* Append an input array
|
|
* to the end of a flat array
|
|
* in a particular order
|
|
* @param offset the offset of the array to start at
|
|
* @param order the order
|
|
* @param hZ the hZ array
|
|
* @param hZShapeInfo the shape info for te array
|
|
* @param input the input for the array
|
|
* @param inputShapeInfo the shape information for that array
|
|
*/
|
|
void flatten(
|
|
Nd4jPointer *extraPointers,
|
|
int offset,
|
|
char order,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *input, Nd4jLong *inputShapeInfo,
|
|
void *dinput, Nd4jLong *dinputShapeInfo) {
|
|
|
|
auto xType = nd4j::ArrayOptions::dataType(inputShapeInfo);
|
|
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (xType != zType)
|
|
throw std::runtime_error("NativeOps::flatten requires all operands to have same data type");
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, flattenGeneric, (extraPointers, offset, order, hZ, hZShapeInfo, input, inputShapeInfo), LIBND4J_TYPES);
|
|
}
|
|
|
|
/**
|
|
* This is dummy method for JNI compatibility
|
|
* Since we'll use this from java, jni compiler would like to have method no matter what.
|
|
*/
|
|
void initializeDevicesAndFunctions() {
|
|
|
|
}
|
|
|
|
void initializeFunctions(Nd4jPointer *functions) {
|
|
nd4j::BlasHelper::getInstance()->initializeFunctions(functions);
|
|
}
|
|
|
|
/**
|
|
* This method acquires memory chunk of requested size on host side
|
|
*
|
|
* @param pointer pointer that'll be used for allocation
|
|
* @param memorySize memory size, in bytes
|
|
* @param flags optional parameter
|
|
*/
|
|
Nd4jPointer mallocHost(Nd4jLong memorySize, int flags) {
|
|
Nd4jPointer pointer = (Nd4jPointer) malloc(memorySize);
|
|
if (pointer == 0)
|
|
return 0L;
|
|
return pointer;
|
|
}
|
|
|
|
/**
|
|
* This method acquires memory chunk of requested size on specified device
|
|
*
|
|
* PLEASE NOTE: This method is NOT supported and has NO effect in CPU-based backend.
|
|
*
|
|
* @param pointer pointer that'll be used for allocation
|
|
* @param memorySize memory size, in bytes
|
|
* @param ptrToDeviceId pointer to deviceId. For cuda that's just and int, for OpenCL that's pointer to device_id, etc
|
|
* @param flags optional parameter
|
|
*/
|
|
Nd4jPointer mallocDevice(Nd4jLong memorySize, int deviceId, int flags) {
|
|
// not supported
|
|
return 0L;
|
|
}
|
|
|
|
/**
|
|
* This method releases previously allocated host memory space
|
|
*
|
|
* @param pointer pointer that'll be freed
|
|
*/
|
|
int freeHost(Nd4jPointer pointer) {
|
|
free(reinterpret_cast<void *>(pointer));
|
|
return 1L;
|
|
}
|
|
|
|
/**
|
|
* This method releases previously allocated memory space on device
|
|
*
|
|
* PLEASE NOTE: This method is NOT supported and has NO effect in CPU-based backend.
|
|
*
|
|
* @param pointer pointer that'll be freed
|
|
* @param ptrToDeviceId pointer to deviceId.
|
|
*/
|
|
int freeDevice(Nd4jPointer pointer, int deviceId) {
|
|
// not supported
|
|
return 0L;
|
|
}
|
|
|
|
|
|
/**
|
|
* Returns the maximum number open mp threads
|
|
*/
|
|
int ompGetMaxThreads() {
|
|
return omp_get_max_threads();
|
|
}
|
|
|
|
/**
|
|
* Returns the number open mp threads
|
|
*/
|
|
int ompGetNumThreads() {
|
|
return omp_get_num_threads();
|
|
}
|
|
|
|
/**
|
|
* Sets the number of openmp threads
|
|
*/
|
|
void setOmpNumThreads(int threads) {
|
|
omp_set_num_threads(threads);
|
|
|
|
}
|
|
|
|
Nd4jPointer createContext() {
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jPointer createStream() {
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jPointer createEvent() {
|
|
return 0L;
|
|
}
|
|
|
|
int getDeviceMajor(int deviceId ) {
|
|
return 0;
|
|
}
|
|
|
|
int getDeviceMinor(int deviceId) {
|
|
return 0;
|
|
}
|
|
|
|
int registerEvent(Nd4jPointer event, Nd4jPointer stream) {
|
|
return 0L;
|
|
}
|
|
|
|
int setDevice(int deviceId) {
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jLong getDeviceFreeMemory(int deviceId) {
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jLong getDeviceFreeMemoryDefault() {
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jLong getDeviceTotalMemory(int deviceId) {
|
|
return 0L;
|
|
}
|
|
|
|
int memcpySync(Nd4jPointer dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
|
|
return 0L;
|
|
}
|
|
|
|
int memcpyAsync(Nd4jPointer dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
|
|
return 0L;
|
|
}
|
|
|
|
int memsetSync(Nd4jPointer dst, int value, Nd4jLong size, int flags, Nd4jPointer reserved) {
|
|
return 0L;
|
|
}
|
|
|
|
int memsetAsync(Nd4jPointer dst, int value, Nd4jLong size, int flags, Nd4jPointer reserved) {
|
|
return 0L;
|
|
}
|
|
|
|
int destroyEvent(Nd4jPointer event) {
|
|
return 0L;
|
|
}
|
|
|
|
int streamSynchronize(Nd4jPointer stream) {
|
|
return 0L;
|
|
}
|
|
|
|
int eventSynchronize(Nd4jPointer event) {
|
|
return 0L;
|
|
}
|
|
|
|
int getAvailableDevices() {
|
|
return 0L;
|
|
}
|
|
|
|
void enableDebugMode(bool reallyEnable) {
|
|
nd4j::Environment::getInstance()->setDebug(reallyEnable);
|
|
}
|
|
|
|
void enableVerboseMode(bool reallyEnable) {
|
|
nd4j::Environment::getInstance()->setVerbose(reallyEnable);
|
|
}
|
|
|
|
void setGridLimit(int gridSize) {
|
|
// no-op
|
|
}
|
|
|
|
nd4j::TadPack* tadOnlyShapeInfo(Nd4jLong *hXShapeInfo, int *dimension, int dimensionLength) {
|
|
auto pack = new TadPack();
|
|
*pack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
|
|
return pack;
|
|
}
|
|
|
|
Nd4jLong* getPrimaryShapeInfo(nd4j::TadPack* pack) {
|
|
return pack->primaryShapeInfo();
|
|
}
|
|
Nd4jLong* getPrimaryOffsets(nd4j::TadPack* pack) {
|
|
return pack->primaryOffsets();
|
|
}
|
|
Nd4jLong* getSpecialShapeInfo(nd4j::TadPack* pack) {
|
|
return pack->specialShapeInfo();
|
|
}
|
|
Nd4jLong* getSpecialOffsets(nd4j::TadPack* pack) {
|
|
return pack->specialOffsets();
|
|
}
|
|
Nd4jLong getNumberOfTads(nd4j::TadPack* pack) {
|
|
return pack->numberOfTads();
|
|
}
|
|
int getShapeInfoLength(nd4j::TadPack* pack) {
|
|
return pack->shapeInfoLength();
|
|
}
|
|
|
|
int memcpyConstantAsync(Nd4jLong dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
|
|
// no-op
|
|
return 0L;
|
|
}
|
|
|
|
Nd4jPointer getConstantSpace() {
|
|
// no-op
|
|
return 0L;
|
|
}
|
|
|
|
template<typename T>
|
|
void pullRowsGeneric(void *vx,
|
|
Nd4jLong *hXShapeInfo,
|
|
void *vz,
|
|
Nd4jLong *hZShapeInfo,
|
|
const int n,
|
|
Nd4jLong *indexes,
|
|
Nd4jLong *tadShapeInfo,
|
|
Nd4jLong *tadOffsets,
|
|
Nd4jLong *zTadShapeInfo,
|
|
Nd4jLong *zTadOffsets) {
|
|
auto hX = reinterpret_cast<T *>(vx);
|
|
auto hZ = reinterpret_cast<T *>(vz);
|
|
|
|
const auto xEWS = shape::elementWiseStride(tadShapeInfo);
|
|
const auto zEWS = shape::elementWiseStride(zTadShapeInfo);
|
|
const auto tadLength = shape::length(tadShapeInfo);
|
|
|
|
int elementsPerThread = n / TAD_THRESHOLD;
|
|
int _threads = nd4j::math::nd4j_max<int>(1, elementsPerThread);
|
|
_threads = nd4j::math::nd4j_min<int>(_threads, omp_get_max_threads());
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(_threads)
|
|
for (int idx = 0; idx < n; idx++) {
|
|
auto xTadOffsetForBlock = tadOffsets[indexes[idx]];
|
|
auto zTadOffsetForBlock = zTadOffsets[idx];
|
|
|
|
auto rX = hX + xTadOffsetForBlock;
|
|
auto rZ = hZ + zTadOffsetForBlock;
|
|
|
|
if (xEWS == 1 && zEWS == 1) {
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (int i = 0; i < tadLength; i++ ) {
|
|
rZ[i] = rX[i];
|
|
}
|
|
} else if (xEWS >= 1 && zEWS >= 1) {
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (int i = 0; i < tadLength; i++ ) {
|
|
rZ[i * zEWS] = rX[i * xEWS];
|
|
}
|
|
}
|
|
else {
|
|
for (int i = 0; i < tadLength; i++) {
|
|
auto xOffset = xTadOffsetForBlock + shape::getIndexOffset(i, tadShapeInfo, tadLength);
|
|
auto zOffset = zTadOffsetForBlock + shape::getIndexOffset(i, zTadShapeInfo, tadLength);
|
|
hZ[zOffset] = hX[xOffset];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void pullRows(Nd4jPointer *extraPointers,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
Nd4jLong n,
|
|
Nd4jLong *indexes,
|
|
Nd4jLong *tadShapeInfo,
|
|
Nd4jLong *tadOffsets,
|
|
Nd4jLong *zTadShapeInfo,
|
|
Nd4jLong *zTadOffsets) {
|
|
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, pullRowsGeneric, (hX, hXShapeInfo, hZ, hZShapeInfo, n, indexes, tadShapeInfo, tadOffsets, zTadShapeInfo, zTadOffsets), LIBND4J_TYPES);
|
|
}
|
|
|
|
template<typename T>
|
|
void tearGeneric(void *vx,
|
|
Nd4jLong *hXShapeInfo,
|
|
Nd4jPointer *targets,
|
|
Nd4jLong *hZShapeInfo,
|
|
Nd4jLong *tadShapeInfo,
|
|
Nd4jLong *tadOffsets) {
|
|
|
|
auto hX = reinterpret_cast<T *>(vx);
|
|
|
|
const auto tadLength = shape::length(tadShapeInfo);
|
|
auto tadEWS = shape::elementWiseStride(tadShapeInfo);
|
|
auto zEWS = shape::elementWiseStride(hZShapeInfo);
|
|
auto numTads = shape::length(hXShapeInfo) / tadLength;
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR
|
|
for (Nd4jLong i = 0; i < numTads; i++) {
|
|
auto hZ = reinterpret_cast<T *>(targets[i]);
|
|
auto s = hX + tadOffsets[i];
|
|
|
|
if (zEWS == 1 && tadEWS == 1) {
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (Nd4jLong j = 0; j < tadLength; j++) {
|
|
hZ[j] = s[j];
|
|
}
|
|
} else if (zEWS > 0 && tadEWS > 0) {
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (Nd4jLong j = 0; j < tadLength; j++) {
|
|
hZ[j * zEWS] = s[j * tadEWS];
|
|
}
|
|
}
|
|
else {
|
|
|
|
for (Nd4jLong j = 0; j < tadLength; j++)
|
|
hZ[shape::getIndexOffset(j, hZShapeInfo, tadLength)] = s[shape::getIndexOffset(j, tadShapeInfo, tadLength)];
|
|
}
|
|
}
|
|
}
|
|
|
|
void tear(Nd4jPointer *extraPointers,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
Nd4jPointer *targets,
|
|
Nd4jLong *hZShapeInfo,
|
|
Nd4jLong *tadShapeInfo,
|
|
Nd4jLong *tadOffsets) {
|
|
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, tearGeneric, (hX, hXShapeInfo, targets, hZShapeInfo, tadShapeInfo, tadOffsets), LIBND4J_TYPES);
|
|
}
|
|
|
|
|
|
void average(Nd4jPointer *extras,
|
|
Nd4jPointer *hX, Nd4jLong *hXShapeInfo,
|
|
Nd4jPointer *dX, Nd4jLong *dXShapeInfo,
|
|
void *z, Nd4jLong *hZShapeInfo,
|
|
void *dz, Nd4jLong *dZShapeInfo,
|
|
int n,
|
|
Nd4jLong length,
|
|
bool propagate) {
|
|
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, nd4j::SpecialMethods, ::averageGeneric(hX, z, hZShapeInfo, n, length, propagate), LIBND4J_TYPES);
|
|
}
|
|
|
|
void accumulate(Nd4jPointer *extras,
|
|
Nd4jPointer *hX, Nd4jLong *hXShapeInfo,
|
|
Nd4jPointer *dX, Nd4jLong *dXShapeInfo,
|
|
void *hz, Nd4jLong *hZShapeInfo,
|
|
void *dz, Nd4jLong *dZShapeInfo,
|
|
int n,
|
|
Nd4jLong length) {
|
|
|
|
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, nd4j::SpecialMethods, ::accumulateGeneric(hX, hz, hZShapeInfo, n, length), LIBND4J_TYPES);
|
|
}
|
|
|
|
void enableP2P(bool enable) {
|
|
// no-op
|
|
}
|
|
|
|
|
|
|
|
void encodeThresholdP1(Nd4jPointer *extraPointers, void *hX, Nd4jLong *hXShapeInfo, Nd4jLong N, int *dz, float threshold) {
|
|
// TODO: to be implemented
|
|
}
|
|
|
|
|
|
void encodeThresholdP2Int(Nd4jPointer *extraPointers, int *hX, Nd4jLong N, int *dz) {
|
|
// TODO: to be implemented
|
|
}
|
|
|
|
|
|
void encodeThresholdP3(Nd4jPointer *extraPointers, void *hX, Nd4jLong *hXShapeInfo, int *offsets, Nd4jLong N, int *dz){
|
|
// offsets won't be used here
|
|
|
|
// TODO: to be implemented
|
|
}
|
|
|
|
void decodeThreshold(Nd4jPointer *extraPointers, void *hX, Nd4jLong N, void *dz, Nd4jLong *hZShapeInfo){
|
|
// TODO: to be implemented
|
|
}
|
|
|
|
bool isP2PAvailable() {
|
|
// always TRUE for cpu backend
|
|
return true;
|
|
}
|
|
|
|
void checkP2P() {
|
|
// no-op
|
|
}
|
|
|
|
void decodeBitmap(Nd4jPointer *extraPointers, void *hX, Nd4jLong N, void *dz, Nd4jLong *hZShapeInfo) {
|
|
NativeOpExecutioner::decodeBitmap(hX, N, dz, hZShapeInfo);
|
|
}
|
|
|
|
template<typename T>
|
|
void shuffleGeneric(void **hX, Nd4jLong **hXShapeInfo, void **dz, Nd4jLong **hZShapeInfo, int N, int *shuffleMap, Nd4jLong **tadOnlyShapeInfo, Nd4jLong **tadOffsets) {
|
|
|
|
auto dX = reinterpret_cast<T **>(hX);
|
|
auto dZ = reinterpret_cast<T **>(dz);
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_THREADS(N)
|
|
for (int f = 0; f < N; f++) {
|
|
auto hX = reinterpret_cast<T *>(dX[f]);
|
|
//auto hZ = reinterpret_cast<T *>(dZ[f]);
|
|
|
|
auto xShapeInfo = hXShapeInfo[f];
|
|
auto tadOffset = reinterpret_cast<Nd4jLong *>(tadOffsets[f]);
|
|
|
|
|
|
const auto tadLength = shape::length(tadOnlyShapeInfo[f]);
|
|
auto tadEWS = shape::elementWiseStride(tadOnlyShapeInfo[f]);
|
|
auto tadRank = shape::rank(tadOnlyShapeInfo[f]);
|
|
auto numTads = shape::length(hXShapeInfo[f]) / tadLength;
|
|
|
|
auto tadShape = shape::shapeOf(tadOnlyShapeInfo[f]);
|
|
auto tadStride = shape::stride(tadOnlyShapeInfo[f]);
|
|
|
|
if (shape::rank(xShapeInfo) == 1) {
|
|
auto xLength = shape::length(xShapeInfo);
|
|
auto ews = shape::elementWiseStride(xShapeInfo);
|
|
for (Nd4jLong r = 0; r < xLength; r++) {
|
|
auto swapIdx = shuffleMap[r];
|
|
if (swapIdx < 0)
|
|
continue;
|
|
|
|
nd4j::math::nd4j_swap<T>(hX[r*ews], hX[swapIdx*ews]);
|
|
}
|
|
} else {
|
|
for (Nd4jLong r = 0; r < numTads; r++) {
|
|
if (shuffleMap[r] < 0)
|
|
continue;
|
|
|
|
auto oldOffset = tadOffset[r];
|
|
auto newOffset = tadOffset[shuffleMap[r]];
|
|
|
|
auto rX = hX + oldOffset;
|
|
auto rY = hX + newOffset;
|
|
|
|
if (tadEWS == 1) {
|
|
for (Nd4jLong i = 0; i < tadLength; i++) {
|
|
nd4j::math::nd4j_swap<T>(rX[i], rY[i]);
|
|
}
|
|
} else {
|
|
for (Nd4jLong i = 0; i < tadLength; i++) {
|
|
auto offset = shape::getIndexOffset(i, tadOnlyShapeInfo[f], tadLength);
|
|
nd4j::math::nd4j_swap<T>(hX[offset + oldOffset], hX[offset + newOffset]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void shuffle(Nd4jPointer *extras,
|
|
Nd4jPointer *hX, Nd4jPointer *hXShapeInfo,
|
|
Nd4jPointer *dX, Nd4jPointer *dXShapeInfo,
|
|
Nd4jPointer *hz, Nd4jPointer *hZShapeInfo,
|
|
Nd4jPointer *dz, Nd4jPointer *dZShapeInfo,
|
|
int N,
|
|
int *shuffleMap,
|
|
Nd4jPointer *tadShapeInfo,
|
|
Nd4jPointer *tadOffsets) {
|
|
auto xShape = reinterpret_cast<Nd4jLong **>(hXShapeInfo);
|
|
auto zShape = reinterpret_cast<Nd4jLong **>(hZShapeInfo);
|
|
auto tadOnlyShapeInfo = reinterpret_cast<Nd4jLong **>(tadShapeInfo);
|
|
auto tadOffset = reinterpret_cast<Nd4jLong **>(tadOffsets);
|
|
|
|
auto xType = nd4j::ArrayOptions::dataType(xShape[0]);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, shuffleGeneric, (hX, xShape, hz, zShape, N, shuffleMap, tadOnlyShapeInfo, tadOffset), LIBND4J_TYPES);
|
|
}
|
|
|
|
|
|
bool isExperimentalEnabled() {
|
|
return nd4j::Environment::getInstance()->isExperimentalBuild();
|
|
}
|
|
|
|
|
|
void setOmpMinThreads(int threads) {
|
|
// TODO: to be implemented
|
|
}
|
|
|
|
/*
|
|
void execMetaPredicateShape(Nd4jPointer *extras,
|
|
const int opTypeA,
|
|
const int opNumA,
|
|
const int opTypeB,
|
|
const int opNumB,
|
|
Nd4jLong N,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraA,
|
|
void *extraB,
|
|
double scalarA,
|
|
double scalarB) {
|
|
// no-op;
|
|
}
|
|
*/
|
|
|
|
int getDevice() {
|
|
return 0;
|
|
}
|
|
|
|
void execScalarTad(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hScalars, Nd4jLong *hScalarShapeInfo,
|
|
void *dScalars, Nd4jLong *dScalarShapeInfo,
|
|
void *extraParams,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape,
|
|
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
|
|
Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
|
|
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
NativeOpExecutioner::execScalar(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
hScalars,
|
|
hScalarShapeInfo,
|
|
dScalars,
|
|
dScalarShapeInfo,
|
|
dimension,
|
|
shape::length(hDimensionShape),
|
|
tadShapeInfo,
|
|
tadOffsets,
|
|
tadShapeInfoZ,
|
|
tadOffsetsZ);
|
|
}
|
|
|
|
void execScalarBoolTad(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *hScalars, Nd4jLong *hScalarShapeInfo,
|
|
void *dScalars, Nd4jLong *dScalarShapeInfo,
|
|
void *extraParams,
|
|
void *hDimension, Nd4jLong *hDimensionShape,
|
|
void *dDimension, Nd4jLong *dDimensionShape,
|
|
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
|
|
Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
|
|
|
|
auto dimension = reinterpret_cast<int *>(hDimension);
|
|
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
|
|
|
|
NativeOpExecutioner::execScalarBool(nullptr,
|
|
opNum,
|
|
hX,
|
|
hXShapeInfo,
|
|
dX,
|
|
dXShapeInfo,
|
|
extraParams,
|
|
hZ,
|
|
hZShapeInfo,
|
|
dZ,
|
|
dZShapeInfo,
|
|
hScalars,
|
|
hScalarShapeInfo,
|
|
dScalars,
|
|
dScalarShapeInfo,
|
|
dimension,
|
|
dimensionLength,
|
|
tadShapeInfo,
|
|
tadOffsets,
|
|
tadShapeInfoZ,
|
|
tadOffsetsZ);
|
|
}
|
|
|
|
const char * getDeviceName(int deviceId) {
|
|
if (!nameSet) {
|
|
name = reinterpret_cast<char *>(malloc(256 * sizeof(char)));
|
|
|
|
CHECK_ALLOC(name, "Failed to allocate new string buffer", 256);
|
|
|
|
std::memset(name, 0, 256 * sizeof(char));
|
|
nameSet = true;
|
|
|
|
// TODO: provide proper CPU model name here
|
|
sprintf(name, "x86-compatible CPU");
|
|
}
|
|
|
|
|
|
return name;
|
|
}
|
|
|
|
|
|
void execAggregate(Nd4jPointer *extraPointers,int opNum,
|
|
void **arguments,
|
|
int numArguments,
|
|
Nd4jLong **shapeArguments,
|
|
int numShapeArguments,
|
|
int *indexArguments,
|
|
int numIndexArguments,
|
|
int **intArrays,
|
|
int numIntArrays,
|
|
void *realArguments,
|
|
int numRealArguments,
|
|
nd4j::DataType dtype) {
|
|
|
|
BUILD_SINGLE_SELECTOR(dtype, NativeOpExecutioner::execAggregate, (nullptr, opNum, arguments, numArguments, shapeArguments, numShapeArguments, indexArguments, numIndexArguments, intArrays, numIntArrays, realArguments, numRealArguments), FLOAT_TYPES);
|
|
|
|
}
|
|
|
|
template <typename T>
|
|
void _batchExecutor(Nd4jPointer *extraPointers,
|
|
int numAggregates,
|
|
int opNum,
|
|
int maxArgs,
|
|
int maxShapes,
|
|
int maxIntArrays,
|
|
int maxIntArraySize,
|
|
int maxIdx,
|
|
int maxReals,
|
|
void *ptrToArguments,
|
|
nd4j::DataType dtype) {
|
|
// probably, we don't want too much threads as usually
|
|
int _threads = nd4j::math::nd4j_min<int>(numAggregates, omp_get_max_threads());
|
|
|
|
nd4j::PointersHelper<T> helper(ptrToArguments,
|
|
numAggregates,
|
|
maxArgs,
|
|
maxShapes,
|
|
maxIntArrays,
|
|
maxIntArraySize,
|
|
maxIdx,
|
|
maxReals);
|
|
|
|
// special case here, we prefer spread arrangement here, all threads are detached from each other
|
|
PRAGMA_OMP_PARALLEL_FOR_THREADS(_threads)
|
|
for (int i = 0; i < numAggregates; i++) {
|
|
auto intArrays = new int *[maxIntArrays];
|
|
|
|
auto arguments = helper.getArguments(i);
|
|
auto shapes = helper.getShapeArguments(i);
|
|
auto idxArg = helper.getIndexArguments(i);
|
|
auto realArg = helper.getRealArguments(i);
|
|
|
|
for (int e = 0; e < maxIntArrays; e++) {
|
|
intArrays[e] = helper.getIntArrayArguments(i, e);
|
|
}
|
|
|
|
execAggregate(extraPointers,
|
|
opNum,
|
|
reinterpret_cast<void **>(arguments),
|
|
helper.getNumArguments(i),
|
|
shapes,
|
|
helper.getNumShapeArguments(i),
|
|
idxArg,
|
|
helper.getNumIndexArguments(i),
|
|
intArrays,
|
|
helper.getNumIntArrayArguments(i),
|
|
realArg,
|
|
helper.getNumRealArguments(i),
|
|
dtype);
|
|
|
|
delete [] intArrays;
|
|
}
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template void _batchExecutor, (Nd4jPointer *extraPointers, int numAggregates, int opNum, int maxArgs, int maxShapes, int maxIntArrays, int maxIntArraySize, int maxIdx, int maxReals, void *ptrToArguments, nd4j::DataType dtype), FLOAT_TYPES);
|
|
|
|
void batchExecutor(Nd4jPointer *extraPointers,
|
|
int numAggregates,
|
|
int opNum,
|
|
int maxArgs,
|
|
int maxShapes,
|
|
int maxIntArrays,
|
|
int maxIntArraySize,
|
|
int maxIdx,
|
|
int maxReals,
|
|
void *ptrToArguments,
|
|
nd4j::DataType dtype) {
|
|
BUILD_SINGLE_SELECTOR(dtype, _batchExecutor, (extraPointers, numAggregates, opNum, maxArgs, maxShapes, maxIntArrays, maxIntArraySize, maxIdx, maxReals, ptrToArguments, dtype), FLOAT_TYPES);
|
|
}
|
|
|
|
void execAggregateBatch(Nd4jPointer *extraPointers,
|
|
int numAggregates,
|
|
int opNum,
|
|
int maxArgs,
|
|
int maxShapes,
|
|
int maxIntArrays,
|
|
int maxIntArraySize,
|
|
int maxIdx,
|
|
int maxReals,
|
|
void *ptrToArguments,
|
|
nd4j::DataType dtype) {
|
|
BUILD_SINGLE_SELECTOR(dtype, _batchExecutor, (extraPointers, numAggregates, opNum, maxArgs, maxShapes, maxIntArrays, maxIntArraySize, maxIdx, maxReals, ptrToArguments, dtype), FLOAT_TYPES);
|
|
}
|
|
|
|
|
|
void execRandom(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
Nd4jPointer state,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraArguments) {
|
|
NativeOpExecutioner::execRandom(nullptr, opNum, state, hZ, hZShapeInfo, dZ, dZShapeInfo, extraArguments);
|
|
}
|
|
|
|
void execRandom3(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
Nd4jPointer state,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hY, Nd4jLong *hYShapeInfo,
|
|
void *dY, Nd4jLong *dYShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraArguments) {
|
|
|
|
NativeOpExecutioner::execRandom(nullptr, opNum, state, hX, hXShapeInfo, dX, dXShapeInfo, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo, extraArguments);
|
|
}
|
|
|
|
void execRandom2(Nd4jPointer *extraPointers,
|
|
int opNum,
|
|
Nd4jPointer state,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
void *hZ, Nd4jLong *hZShapeInfo,
|
|
void *dZ, Nd4jLong *dZShapeInfo,
|
|
void *extraArguments) {
|
|
|
|
NativeOpExecutioner::execRandom(nullptr, opNum, state, hX, hXShapeInfo, dX, dXShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo, extraArguments);
|
|
}
|
|
|
|
Nd4jPointer initRandom(Nd4jPointer *extraPointers, long seed, long bufferSize, Nd4jPointer ptrToBuffer) {
|
|
graph::RandomGenerator* generator = new graph::RandomGenerator(seed, seed);
|
|
// auto ptrBuf = reinterpret_cast<long *>(ptrToBuffer);
|
|
// auto buffer = new nd4j::random::RandomBuffer(seed, bufferSize, reinterpret_cast<uint64_t *>(ptrBuf));
|
|
//
|
|
// nd4j::random::Xoroshiro128 generator(buffer);
|
|
// generator.refreshBuffer();
|
|
//
|
|
return (Nd4jPointer) generator;
|
|
}
|
|
|
|
void refreshBuffer(Nd4jPointer *extraPointers, long seed, Nd4jPointer ptrRandom) {
|
|
auto generator = reinterpret_cast<nd4j::graph::RandomGenerator*> (ptrRandom);
|
|
|
|
generator->setStates(seed);
|
|
}
|
|
|
|
void reSeedBuffer(Nd4jPointer *extraPointers, long seed, Nd4jPointer ptrRandom) {
|
|
auto generator = reinterpret_cast<nd4j::graph::RandomGenerator *> (ptrRandom);
|
|
|
|
generator->setStates(seed);
|
|
}
|
|
|
|
|
|
void destroyRandom(Nd4jPointer ptrBuffer) {
|
|
auto buffer = reinterpret_cast<nd4j::graph::RandomGenerator*>(ptrBuffer);
|
|
delete buffer;
|
|
}
|
|
|
|
|
|
|
|
|
|
/**
|
|
* Return the length of a shape buffer
|
|
* based on the pointer
|
|
* @param buffer the buffer pointer to check
|
|
* @return
|
|
*/
|
|
int lengthForShapeBufferPointer(Nd4jPointer buffer) {
|
|
auto shapeBuffer = reinterpret_cast<Nd4jLong *>(buffer);
|
|
return shape::shapeInfoLength(shape::rank(shapeBuffer));
|
|
}
|
|
|
|
|
|
/**
|
|
* The pointer to get the address for
|
|
*
|
|
* @param address the address to get the pointer
|
|
* @return the pointer for the given address
|
|
*/
|
|
|
|
Nd4jPointer pointerForAddress(Nd4jLong address) {
|
|
return reinterpret_cast<Nd4jPointer >(address);
|
|
}
|
|
|
|
void sort(Nd4jPointer *extraPointers,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
bool descending) {
|
|
NativeOpExecutioner::execSort(hX, hXShapeInfo, descending);
|
|
}
|
|
|
|
void sortTad(Nd4jPointer *extraPointers,
|
|
void *hX, Nd4jLong *hXShapeInfo,
|
|
void *dX, Nd4jLong *dXShapeInfo,
|
|
int *dimension,
|
|
int dimensionLength,
|
|
Nd4jLong *tadShapeInfo,
|
|
Nd4jLong *tadOffsets,
|
|
bool descending) {
|
|
NativeOpExecutioner::execSort(hX, hXShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, descending);
|
|
}
|
|
|
|
void sortCooIndices(Nd4jPointer *extraPointers,
|
|
Nd4jLong *indices,
|
|
void *values,
|
|
Nd4jLong length,
|
|
int rank) {
|
|
NativeOpExecutioner::execSortCooIndices(indices, values, length, rank);
|
|
}
|
|
|
|
Nd4jLong encodeBitmap(Nd4jPointer *extraPointers, void *hX, Nd4jLong *hXShapeInfo, Nd4jLong N, int *dz, float threshold) {
|
|
return NativeOpExecutioner::encodeBitmap(hX, hXShapeInfo, N, dz, threshold);
|
|
}
|
|
|
|
|
|
|
|
Nd4jLong* mmapFile(Nd4jPointer *extraPointers, const char *fileName, Nd4jLong length) {
|
|
auto hZ = new Nd4jLong[2];errno = 0;
|
|
|
|
#if defined(_WIN32) || defined(_WIN64)
|
|
_mmap(hZ, static_cast<size_t>(length), fileName);
|
|
#else
|
|
int fd = open(fileName, O_RDWR, 0);// checking for failed fopen
|
|
if (fd < 0) {
|
|
nd4j_printf("Errno: %i\n", errno);
|
|
throw std::runtime_error("Failed to open file for MMAP");
|
|
}
|
|
void * ptr = mmap(NULL, length, PROT_READ | PROT_WRITE, MAP_SHARED, fd, 0);
|
|
|
|
// check for failed allocation
|
|
if (ptr == MAP_FAILED)
|
|
return nullptr;
|
|
|
|
hZ[0] = (Nd4jLong) ptr;
|
|
hZ[1] = fd;
|
|
|
|
#endif
|
|
|
|
return hZ;
|
|
|
|
}
|
|
|
|
void munmapFile(Nd4jPointer *extraPointers, Nd4jLong *ptrMap, Nd4jLong length) {
|
|
munmap((Nd4jPointer) ptrMap[0], length);
|
|
#if defined(_WIN32) || defined(_WIN64)
|
|
CloseHandle(reinterpret_cast<HANDLE>(ptrMap[1]));
|
|
#else
|
|
close((int) ptrMap[1]);
|
|
#endif
|
|
|
|
delete[] ptrMap;
|
|
}
|
|
|
|
nd4j::graph::ResultWrapper* executeFlatGraph(Nd4jPointer *extraPointers, Nd4jPointer flatBufferPointer) {
|
|
return nd4j::graph::GraphExecutioner::executeFlatBuffer(flatBufferPointer);
|
|
}
|
|
|
|
Nd4jLong getResultWrapperSize(nd4j::graph::ResultWrapper* ptr) {
|
|
return ptr->size();
|
|
}
|
|
Nd4jPointer getResultWrapperPointer(nd4j::graph::ResultWrapper* ptr) {
|
|
return ptr->pointer();
|
|
}
|
|
|
|
const char* getAllCustomOps() {
|
|
return nd4j::ops::OpRegistrator::getInstance()->getAllCustomOperations();
|
|
}
|
|
|
|
template <typename T>
|
|
FORCEINLINE int estimateThresholdGeneric(Nd4jPointer *extraPointers, Nd4jPointer hX, int N, T threshold) {
|
|
auto buffer = reinterpret_cast<T *>(hX);
|
|
|
|
int span = (N / 6) + 8;
|
|
int cnt = 0;
|
|
|
|
PRAGMA_OMP_PARALLEL_REDUCTION(+:cnt)
|
|
{
|
|
int tid = omp_get_thread_num();
|
|
int start = span * tid;
|
|
int stop = span * (tid + 1);
|
|
if (stop > N)
|
|
stop = N;
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (int e = start; e < stop; e++) {
|
|
auto v = nd4j::math::nd4j_abs<T>(buffer[e]);
|
|
if (v >= threshold)
|
|
cnt++;
|
|
}
|
|
}
|
|
|
|
return cnt;
|
|
}
|
|
|
|
|
|
int estimateThreshold(Nd4jPointer *extraPointers, Nd4jPointer hX, Nd4jLong *hXShapeInfo, int N, float threshold) {
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
BUILD_SINGLE_SELECTOR(xType, return estimateThresholdGeneric, (extraPointers, hX, N, threshold), FLOAT_TYPES);
|
|
}
|
|
|
|
Nd4jLong getShapeListSize(nd4j::ShapeList* list) {
|
|
return list->size();
|
|
}
|
|
|
|
Nd4jLong* getShape(nd4j::ShapeList* list, Nd4jLong i) {
|
|
return list->at(i);
|
|
}
|
|
|
|
void deleteShapeList(Nd4jPointer shapeList) {
|
|
auto list = reinterpret_cast<nd4j::ShapeList*>(shapeList);
|
|
|
|
//list->destroy();
|
|
delete list;
|
|
}
|
|
|
|
nd4j::ShapeList* _calculateOutputShapes(Nd4jPointer* extraPointers, nd4j::ops::DeclarableOp* op, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool *bArgs, int numBArgs) {
|
|
nd4j::graph::VariableSpace varSpace;
|
|
Context block(2, &varSpace);
|
|
nd4j::ShapeList inShapes;
|
|
|
|
for (int e = 0; e < numIArgs; e++)
|
|
block.getIArguments()->push_back(iArgs[e]);
|
|
|
|
for (int e = 0; e < numTArgs; e++)
|
|
block.getTArguments()->push_back(tArgs[e]);
|
|
|
|
for (int e = 0; e < numBArgs; e++)
|
|
block.getBArguments()->push_back(bArgs[e]);
|
|
|
|
for (int e = 0; e < numInputShapes; e++) {
|
|
auto shape_ = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
|
|
|
|
// we shouldn't copy buffer if that's empty array
|
|
void *buffer_ = nd4j::ArrayOptions::arrayType(shape_) == ArrayType::EMPTY ? nullptr : inputBuffers[e];
|
|
|
|
auto array = new nd4j::NDArray(buffer_, shape_, varSpace.launchContext(), false);
|
|
|
|
// block should contain references to proper variable
|
|
varSpace.putVariable(1, e, array);
|
|
block.pickInput(1, e);
|
|
|
|
inShapes.push_back(shape_);
|
|
}
|
|
|
|
auto status = op->validateDataTypes(block);
|
|
if (status != Status::OK())
|
|
throw std::runtime_error("Data types validation failed");
|
|
|
|
auto shapeList = op->calculateOutputShape(&inShapes, block);
|
|
|
|
if (varSpace.launchContext() != nullptr)
|
|
shapeList->detach();
|
|
|
|
return shapeList;
|
|
}
|
|
|
|
nd4j::ShapeList* calculateOutputShapes2(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool *bArgs, int numBArgs) {
|
|
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
|
|
|
|
return _calculateOutputShapes(extraPointers, op, inputBuffers, inputShapes, numInputShapes, tArgs, numTArgs, iArgs, numIArgs, bArgs, numBArgs);
|
|
}
|
|
|
|
nd4j::ShapeList* _calculateOutputShapes(Nd4jPointer* extraPointers, nd4j::ops::DeclarableOp *op, Nd4jPointer* inputShapes, int numInputShapes, double *tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs) {
|
|
Context block(1);
|
|
nd4j::ShapeList inShapes;
|
|
|
|
for (int e = 0; e < numIArgs; e++)
|
|
block.getIArguments()->push_back(iArgs[e]);
|
|
|
|
for (int e = 0; e < numTArgs; e++)
|
|
block.getTArguments()->push_back(tArgs[e]);
|
|
|
|
for (int e = 0; e < numInputShapes; e++)
|
|
inShapes.push_back(reinterpret_cast<Nd4jLong *>(inputShapes[e]));
|
|
|
|
auto shapeList = op->calculateOutputShape(&inShapes, block);
|
|
shapeList->detach();
|
|
|
|
return shapeList;
|
|
}
|
|
|
|
nd4j::ShapeList* calculateOutputShapes(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs) {
|
|
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
|
|
|
|
return _calculateOutputShapes(extraPointers, op, inputShapes, numInputShapes, tArgs, numTArgs, iArgs, numIArgs);
|
|
}
|
|
|
|
int execCustomOp2(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer opContext) {
|
|
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
|
|
auto context = reinterpret_cast<Context*>(opContext);
|
|
|
|
return op->execute(context);
|
|
}
|
|
|
|
Nd4jStatus realExec(nd4j::ops::DeclarableOp* op, Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputs, Nd4jPointer* outputBuffers, Nd4jPointer* outputShapes, int numOutputs, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool* bArgs, int numBArgs, bool isInplace) {
|
|
if (op == nullptr)
|
|
nd4j_printf("Can't find requested operation: [%lld]\n", hash);
|
|
|
|
// we're using the same fake nodeId everywhere here
|
|
|
|
std::vector<nd4j::NDArray*> inputs(numInputs);
|
|
std::vector<nd4j::NDArray*> outputs(numOutputs);
|
|
std::vector<double> ttArgs(numTArgs);
|
|
std::vector<Nd4jLong> iiArgs(numIArgs);
|
|
std::vector<bool> biArgs(numBArgs);
|
|
|
|
// filling block now with inputs
|
|
for (int e = 0; e < numInputs; e++) {
|
|
auto shape = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
|
|
void *buffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : inputBuffers[e];
|
|
|
|
inputs[e] = new nd4j::NDArray(buffer, shape);
|
|
}
|
|
|
|
// if not inplace - transferring output arrays
|
|
|
|
if (!isInplace)
|
|
for (int e = 0; e < numOutputs; e++) {
|
|
// we want to keep original output shape intact
|
|
auto shape = shape::copyShape(reinterpret_cast<Nd4jLong *>(outputShapes[e]));
|
|
void *buffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : outputBuffers[e];
|
|
|
|
// FIXME: revisit this.
|
|
bool canNullify = true;
|
|
for (int i = 0; i < numInputs; i++) {
|
|
void *ibuffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : inputBuffers[i];
|
|
if (ibuffer == buffer) {
|
|
canNullify = false;
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (canNullify)
|
|
memset((uint8_t *) buffer, '\0', shape::length(shape) * DataTypeUtils::sizeOfElement(ArrayOptions::dataType(shape)));
|
|
|
|
auto array = new nd4j::NDArray(buffer, shape);
|
|
outputs[e] = array;
|
|
|
|
// and we want to release shape copy once we're done
|
|
delete []shape;
|
|
}
|
|
|
|
for (int e = 0; e < numIArgs; e++)
|
|
iiArgs[e] = iArgs[e];
|
|
|
|
|
|
for (int e = 0; e < numTArgs; e++)
|
|
ttArgs[e] = tArgs[e];
|
|
|
|
for (int e = 0; e < numBArgs; e++)
|
|
biArgs[e] = bArgs[e];
|
|
|
|
// hypothetically at this point we have everything filled
|
|
auto hZ = op->execute(inputs, outputs, ttArgs, iiArgs, biArgs, isInplace);
|
|
//auto hZ = op->execute(inputs, ttArgs, iiArgs, isInplace);
|
|
|
|
|
|
|
|
if (!isInplace)
|
|
for (int e = 0; e < numOutputs; e++) {
|
|
//shape::printShapeInfoLinear("JVM output shape", (int *) outputShapes[e]);
|
|
//shape::printShapeInfoLinear("C++ output shape", (int *) outputs[e]->shapeInfo());
|
|
//outputs[e]->printIndexedBuffer("C++ raw output");
|
|
//outputs[e]->printBuffer("C++ indexed output");
|
|
|
|
if (outputs[e]->ordering() != shape::order(reinterpret_cast<Nd4jLong *>(outputShapes[e])))
|
|
outputs[e]->streamline(shape::order(reinterpret_cast<Nd4jLong *>(outputShapes[e])));
|
|
}
|
|
|
|
/*
|
|
if (!isInplace) {
|
|
if (hZ->size() != numOutputs) {
|
|
return ND4J_STATUS_BAD_OUTPUT;
|
|
}
|
|
|
|
for (int e = 0; e < numOutputs; e++) {
|
|
auto buffer = (T *) outputBuffers[e];
|
|
auto shape = (int *) outputShapes[e];
|
|
nd4j::NDArray<T> tmp(buffer, shape);
|
|
|
|
if (tmp.lengthOf() != hZ->at(e)->lengthOf()) {
|
|
nd4j_printf("Provided output array for [%s] has length of %i, but actual hZ has length of %i\n", op->getOpName()->c_str(), tmp.lengthOf(), hZ->at(e)->lengthOf());
|
|
return ND4J_STATUS_BAD_OUTPUT;
|
|
}
|
|
|
|
tmp.assign(hZ->at(e));
|
|
}
|
|
} else {
|
|
// if op is inplace, our ResultSet holds pointers
|
|
hZ->purge();
|
|
}
|
|
|
|
|
|
delete hZ;
|
|
|
|
*/
|
|
|
|
for (auto v: inputs)
|
|
delete v;
|
|
|
|
for (auto v: outputs)
|
|
delete v;
|
|
|
|
return hZ;
|
|
}
|
|
|
|
|
|
int execCustomOp(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputs, Nd4jPointer* outputBuffers, Nd4jPointer* outputShapes, int numOutputs, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool* bArgs, int numBArgs, bool isInplace) {
|
|
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
|
|
return realExec(op, extraPointers, hash, inputBuffers, inputShapes, numInputs, outputBuffers, outputShapes, numOutputs, tArgs, numTArgs, iArgs, numIArgs, bArgs, numBArgs, isInplace);
|
|
}
|
|
|
|
int registerGraph(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer flatBufferPointer) {
|
|
auto graph = nd4j::graph::GraphExecutioner::importFromFlatPointer(flatBufferPointer);
|
|
|
|
nd4j::graph::GraphHolder::getInstance()->registerGraph(graphId, graph);
|
|
|
|
return ND4J_STATUS_OK;
|
|
}
|
|
|
|
static VariablesSet* executeStoredGraphT(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int* inputIndices, int numInputs) {
|
|
auto graph = nd4j::graph::GraphHolder::getInstance()->cloneGraph(graphId);
|
|
auto varSpace = graph->getVariableSpace();
|
|
|
|
std::vector<nd4j::NDArray*> handles;
|
|
|
|
for (int e = 0; e < numInputs; e++) {
|
|
auto idx = inputIndices[e];
|
|
|
|
// we'll delete this array later, together with cloned VariableSpace
|
|
auto array = new nd4j::NDArray(inputBuffers[e], reinterpret_cast<Nd4jLong *>(inputShapes[e]));
|
|
handles.emplace_back(array);
|
|
|
|
if (varSpace->hasVariable(idx)) {
|
|
auto var = varSpace->getVariable(idx);
|
|
if (var->hasNDArray())
|
|
delete var->getNDArray();
|
|
|
|
var->setNDArray(array);
|
|
} else
|
|
varSpace->putVariable(idx, array);
|
|
}
|
|
|
|
auto hZ = nd4j::graph::GraphExecutioner::execute(graph, varSpace);
|
|
auto varSet = new nd4j::graph::VariablesSet(hZ);
|
|
|
|
if (hZ == ND4J_STATUS_OK) {
|
|
// pull back results, and provide them
|
|
auto outputs = graph->fetchOutputs();
|
|
for (int e = 0; e < outputs->size(); e++) {
|
|
// we're only getting variable ID/Index from original grap. values will be taken from cloned workspace
|
|
std::pair<int, int> varId(outputs->at(e)->id(), outputs->at(e)->index());
|
|
|
|
auto var = varSpace->getVariable(varId);
|
|
|
|
varSet->push_back(var->clone());
|
|
}
|
|
|
|
delete outputs;
|
|
}
|
|
|
|
delete graph;
|
|
|
|
return varSet;
|
|
}
|
|
|
|
nd4j::graph::VariablesSet* executeStoredGraph(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int* inputIndices, int numInputs) {
|
|
return nullptr;
|
|
}
|
|
|
|
Nd4jLong getVariablesSetSize(nd4j::graph::VariablesSet* set) {
|
|
return set->size();
|
|
}
|
|
|
|
Nd4jStatus getVariablesSetStatus(nd4j::graph::VariablesSet* set) {
|
|
return set->status();
|
|
}
|
|
|
|
nd4j::graph::Variable* getVariable(nd4j::graph::VariablesSet* set, Nd4jLong i) {
|
|
return set->at(i);
|
|
}
|
|
|
|
int getVariableId(nd4j::graph::Variable* variable) {
|
|
return variable->id();
|
|
}
|
|
|
|
int getVariableIndex(nd4j::graph::Variable* variable) {
|
|
return variable->index();
|
|
}
|
|
|
|
const char* getVariableName(nd4j::graph::Variable* variable) {
|
|
return variable->getName()->c_str();
|
|
}
|
|
|
|
Nd4jLong* getVariableShape(nd4j::graph::Variable* variable) {
|
|
return variable->getNDArray()->shapeInfo();
|
|
}
|
|
|
|
void* getVariableBuffer(nd4j::graph::Variable* variable) {
|
|
return variable->getNDArray()->buffer();
|
|
}
|
|
|
|
int unregisterGraph(Nd4jPointer *extraPointers, Nd4jLong graphId) {
|
|
|
|
nd4j::graph::GraphHolder::getInstance()->dropGraphAny(graphId);
|
|
|
|
return nd4j::Status::OK();
|
|
}
|
|
|
|
void deletePointerArray(Nd4jPointer pointer) {
|
|
auto ptr = reinterpret_cast<Nd4jPointer *>(pointer);
|
|
delete[] ptr;
|
|
}
|
|
|
|
void deleteCharArray(Nd4jPointer pointer) {
|
|
auto ptr = reinterpret_cast<char *>(pointer);
|
|
delete[] ptr;
|
|
}
|
|
|
|
void deleteIntArray(Nd4jPointer pointer) {
|
|
auto ptr = reinterpret_cast<int *>(pointer);
|
|
delete[] ptr;
|
|
}
|
|
|
|
void deleteLongArray(Nd4jPointer pointer) {
|
|
auto ptr = reinterpret_cast<Nd4jLong *>(pointer);
|
|
delete[] ptr;
|
|
}
|
|
|
|
void deleteVariablesSet(nd4j::graph::VariablesSet* pointer) {
|
|
delete pointer;
|
|
}
|
|
|
|
const char* getAllOperations() {
|
|
return nd4j::OpTracker::getInstance()->exportOperations();
|
|
}
|
|
|
|
|
|
Nd4jPointer getGraphState(Nd4jLong id) {
|
|
return (Nd4jPointer) new nd4j::graph::GraphState(id);
|
|
}
|
|
|
|
void deleteGraphState(Nd4jPointer state) {
|
|
auto stateP = reinterpret_cast<nd4j::graph::GraphState*>(state);
|
|
delete stateP;
|
|
}
|
|
|
|
Nd4jStatus execCustomOpWithScope_(Nd4jPointer *extraPointers, nd4j::graph::GraphState *state, Nd4jLong opHash, Nd4jLong *scopes, int numScopes, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int numInputs, Nd4jPointer *outputBuffers, Nd4jPointer *outputShapes, int numOutputs) {
|
|
/**
|
|
* That's basically exec, with VariableSpace provided in GraphState:
|
|
* depending on operation (i.e. while of if), different logic executors could be used
|
|
*/
|
|
|
|
auto graph = state->graph();
|
|
auto varSpace = state->variableSpace();
|
|
|
|
// Node is dynamically created, and has nothing beyond it: only inputs and outputs
|
|
// this node has id of 0, and inputs are
|
|
Node node(OpType_LOGIC, opHash, 0);
|
|
|
|
// mapping inputs
|
|
for (int e = 0; e < numInputs; e++) {
|
|
auto buffer = inputBuffers[e];
|
|
auto shapeInfo = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
|
|
|
|
auto array = new nd4j::NDArray(buffer, shapeInfo, varSpace->launchContext());
|
|
|
|
// now we just put array to VarSpace
|
|
varSpace->putVariable(0, e, array);
|
|
node.pickInput(0, e);
|
|
}
|
|
|
|
// mapping scopes
|
|
for (int e = 0; e < numScopes; e++) {
|
|
// we should check scope existence in GraphState/Graph
|
|
int scopeId = (int) scopes[e];
|
|
if (!state->hasScope(scopeId)) {
|
|
// nd4j_printf("execCustomOpWithScope: referenced scope [%i] doesn't exist\n", scopeId);
|
|
return Status::THROW();
|
|
}
|
|
node.pickInput(scopeId, 0);
|
|
}
|
|
|
|
auto hZ = LogicExecutor::processNode(graph, &node);
|
|
if (hZ != Status::OK())
|
|
return hZ;
|
|
|
|
// mapping outputs
|
|
|
|
for (int e = 0; e < numOutputs; e++) {
|
|
auto buffer = outputBuffers[e];
|
|
auto shapeInfo = reinterpret_cast<Nd4jLong *>(outputShapes[e]);
|
|
|
|
NDArray array(buffer, shapeInfo, varSpace->launchContext());
|
|
|
|
// now we just put array to VarSpace to the same ID
|
|
//varSpace->putVariable(0, e, array);
|
|
|
|
auto t = varSpace->getVariable(0, e)->getNDArray();
|
|
array.assign(t);
|
|
}
|
|
|
|
// removing input variables
|
|
for (int e = 0; e < numInputs; e++) {
|
|
varSpace->dropVariable(0, e);
|
|
}
|
|
|
|
|
|
// after some bla-bla-bla we should have Graph and Node for current op
|
|
return Status::OK();
|
|
}
|
|
|
|
Nd4jStatus execCustomOpWithScope(Nd4jPointer *extraPointers, Nd4jPointer state, Nd4jLong opHash, Nd4jLong *scopes, int numScopes, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int numInputs, Nd4jPointer *outputBuffers, Nd4jPointer *outputShapes, int numOutputs) {
|
|
return execCustomOpWithScope_(extraPointers, reinterpret_cast<nd4j::graph::GraphState*>(state), opHash, scopes, numScopes, inputBuffers, inputShapes, numInputs, outputBuffers, outputShapes, numOutputs);
|
|
}
|
|
|
|
void deleteResultWrapper(Nd4jPointer ptr) {
|
|
// just 0 room for compiler s@!t
|
|
auto p = reinterpret_cast<nd4j::graph::ResultWrapper *>(ptr);
|
|
delete p;
|
|
}
|
|
|
|
/*
|
|
* TypeDef:
|
|
* void convertTypes(Nd4jPointer *extras, int srcType, Nd4jPointer hX, long N, int dstType, Nd4jPointer hZ);
|
|
*/
|
|
void convertTypes(Nd4jPointer *extras, int srcType, Nd4jPointer hX, Nd4jLong N, int dstType, Nd4jPointer hZ) {
|
|
auto hx = reinterpret_cast<void *>(hX);
|
|
auto hz = reinterpret_cast<void *>(hZ);
|
|
|
|
if (srcType == ND4J_FLOAT8) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// convertGeneric<double, nd4j::float8>(hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, nd4j::int8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, nd4j::uint8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, nd4j::int16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, nd4j::uint16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::float8, double>(nullptr, hx, N, hz);
|
|
} else {
|
|
//nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_INT8) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
//nd4j::TypeCast::convertGeneric<nd4j::int8, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
//convertGeneric<nd4j::int8, nd4j::int8>(hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<int8_t, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<int8_t, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
nd4j::TypeCast::convertGeneric<int8_t, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
//nd4j::TypeCast::convertGeneric<int8_t, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
// TODO: eventually we might want to add it
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertGeneric<int8_t, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertGeneric<int8_t, double>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_UINT8) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// nd4j::TypeCast::convertGeneric<uint8_t, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, int8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
// nd4j::TypeCast::convertGeneric<uint8_t, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
// TODO: still might want to add
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertGeneric<uint8_t, double>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_FLOAT16) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// nd4j::TypeCast::convertGeneric<float16, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
nd4j::TypeCast::convertGeneric<float16, int8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<float16, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<float16, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
nd4j::TypeCast::convertGeneric<float16, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
// nd4j::TypeCast::convertGeneric<float16, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
// TODO: .... ^^^
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertGeneric<float16, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertGeneric<float16, double>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_THRESHOLD) {
|
|
nd4j::TypeCast::convertToThreshold<float16>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_INT16) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// nd4j::TypeCast::convertGeneric<int16_t, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
nd4j::TypeCast::convertGeneric<int16_t, int8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<int16_t, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<int16_t, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
//nd4j::TypeCast::convertGeneric<int16_t, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
// nd4j::TypeCast::convertGeneric<int16_t, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
// TODO...
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertGeneric<int16_t, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertGeneric<int16_t, double>(nullptr, hx, N, hz);
|
|
} else {
|
|
printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_FLOAT24) {
|
|
|
|
} else if (srcType == ND4J_FLOAT32) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// nd4j::TypeCast::convertGeneric<float, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
nd4j::TypeCast::convertGeneric<float, int8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<float, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<float, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
nd4j::TypeCast::convertGeneric<float, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
// nd4j::TypeCast::convertGeneric<float, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertGeneric<float, double>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_THRESHOLD) {
|
|
nd4j::TypeCast::convertToThreshold<float>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_DOUBLE) {
|
|
if (dstType == ND4J_FLOAT8) {
|
|
// nd4j::TypeCast::convertGeneric<double, nd4j::float8>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT8) {
|
|
nd4j::TypeCast::convertGeneric<double, int8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT8) {
|
|
nd4j::TypeCast::convertGeneric<double, uint8_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertGeneric<double, float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_INT16) {
|
|
nd4j::TypeCast::convertGeneric<double, int16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_UINT16) {
|
|
// nd4j::TypeCast::convertGeneric<double, uint16_t>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT24) {
|
|
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertGeneric<double, float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
//
|
|
} else if (dstType == ND4J_THRESHOLD) {
|
|
nd4j::TypeCast::convertToThreshold<double>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else if (srcType == ND4J_THRESHOLD) {
|
|
if (dstType == ND4J_FLOAT16) {
|
|
nd4j::TypeCast::convertFromThreshold<float16>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_FLOAT32) {
|
|
nd4j::TypeCast::convertFromThreshold<float>(nullptr, hx, N, hz);
|
|
} else if (dstType == ND4J_DOUBLE) {
|
|
nd4j::TypeCast::convertFromThreshold<double>(nullptr, hx, N, hz);
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
} else {
|
|
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
|
|
}
|
|
}
|
|
|
|
/*
|
|
void fillUtf8String(Nd4jPointer *extraPointers, const char **strings, int numStrings, Nd4jPointer buffer) {
|
|
auto hZ = reinterpret_cast<nd4j::utf8string**>(buffer);
|
|
for (int e = 0; e < numStrings; e++) {
|
|
hZ[e] = reinterpret_cast<nd4j::utf8string*>(createUtf8String(extraPointers, strings[e]));
|
|
}
|
|
}
|
|
*/
|
|
|
|
Nd4jPointer createUtf8String(Nd4jPointer *extraPointers, const char *string, int length) {
|
|
auto u = new nd4j::utf8string(string, length);
|
|
return reinterpret_cast<Nd4jPointer>(u);
|
|
}
|
|
|
|
Nd4jLong getUtf8StringLength(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
|
|
return reinterpret_cast<nd4j::utf8string*>(ptr)->_length;
|
|
}
|
|
char* getUtf8StringBuffer(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
|
|
return reinterpret_cast<nd4j::utf8string*>(ptr)->_buffer;
|
|
}
|
|
|
|
void deleteUtf8String(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
|
|
delete(reinterpret_cast<nd4j::utf8string*>(ptr));
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void scatterUpdate(Nd4jPointer *extraPointers, int opCode, int numOfSubArrs,
|
|
void* hX, Nd4jLong* hXShapeInfo, Nd4jLong* hXOffsets,
|
|
void* dX, Nd4jLong* dXShapeInfo, Nd4jLong* dXOffsets,
|
|
void* hY, Nd4jLong* hYShapeInfo, Nd4jLong* hYOffsets,
|
|
void* dY, Nd4jLong* dYShapeInfo, Nd4jLong* dYOffsets,
|
|
int* hIindexes, int* dIindexes) {
|
|
|
|
|
|
int numThreads = omp_get_max_threads();
|
|
|
|
PRAGMA_OMP_PARALLEL_THREADS(numThreads)
|
|
{
|
|
for (int i = 0; i < numOfSubArrs; ++i) {
|
|
|
|
int threadIndex = omp_get_thread_num();
|
|
const auto xIndex = hIindexes[i];
|
|
const bool isOwner = xIndex < numThreads ? threadIndex == xIndex : threadIndex == xIndex % numThreads;
|
|
|
|
if (!isOwner)
|
|
continue;
|
|
|
|
NDArray inSubArr(reinterpret_cast<int8_t *>(hX) + (hXOffsets[hIindexes[i]] * DataTypeUtils::sizeOf(hXShapeInfo)), hXShapeInfo);
|
|
NDArray updSubArr(reinterpret_cast<int8_t *>(hY) + (hYOffsets[i] * DataTypeUtils::sizeOf(hXShapeInfo)), hYShapeInfo);
|
|
|
|
if (inSubArr.lengthOf() != updSubArr.lengthOf()) {
|
|
continue;
|
|
}
|
|
|
|
switch (opCode) {
|
|
case 0:
|
|
inSubArr.applyPairwiseTransform(pairwise::Add, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 1:
|
|
inSubArr.applyPairwiseTransform(pairwise::Subtract, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 2:
|
|
inSubArr.applyPairwiseTransform(pairwise::Multiply, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 3:
|
|
inSubArr.applyPairwiseTransform(pairwise::Divide, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 4:
|
|
inSubArr.applyPairwiseTransform(pairwise::ReverseSubtract, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 5:
|
|
inSubArr.applyPairwiseTransform(pairwise::ReverseDivide, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
case 6:
|
|
inSubArr.applyPairwiseTransform(pairwise::CopyPws, &updSubArr, &inSubArr, nullptr);
|
|
break;
|
|
default:
|
|
continue;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void inspectArray(Nd4jPointer *extraPointers, Nd4jPointer buffer, Nd4jLong *shapeInfo, Nd4jPointer specialBuffer, Nd4jLong *specialShapeInfo, Nd4jPointer debugInfo) {
|
|
auto p = reinterpret_cast<nd4j::DebugInfo*>(debugInfo);
|
|
NDArray array(buffer, shapeInfo);
|
|
nd4j::DebugHelper::retrieveDebugStatistics(p, &array);
|
|
}
|
|
|
|
void tryPointer(Nd4jPointer extra, Nd4jPointer p, int len) {
|
|
auto buf = reinterpret_cast<int8_t*>(p);
|
|
int cnt = 0;
|
|
for (int i = 0; i < len; i++)
|
|
cnt += buf[cnt];
|
|
}
|
|
|
|
nd4j::ConstantDataBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, nd4j::DataType dtype, char order, Nd4jLong ews, bool empty) {
|
|
auto buffer = new ConstantDataBuffer();
|
|
*buffer = nd4j::ConstantShapeHelper::getInstance()->bufferForShapeInfo(ShapeDescriptor(dtype, order, shape, strides, rank, ews, empty));
|
|
return buffer;
|
|
}
|
|
|
|
void deleteShapeBuffer(nd4j::ConstantDataBuffer* ptr) {
|
|
delete ptr;
|
|
}
|
|
|
|
void deleteTadPack(nd4j::TadPack* ptr) {
|
|
delete ptr;
|
|
}
|
|
|
|
nd4j::ConstantDataBuffer* constantBufferLong(nd4j::DataType dtype, Nd4jLong *data, int length) {
|
|
return nullptr;
|
|
}
|
|
|
|
nd4j::ConstantDataBuffer* constantBufferDouble(nd4j::DataType dtype, double *data, int length) {
|
|
return nullptr;
|
|
}
|
|
|
|
nd4j::ConstantDataBuffer* constantBuffer(nd4j::DataType dtype, nd4j::ConstantDescriptor *descriptor) {
|
|
return nd4j::ConstantHelper::getInstance()->constantBuffer(*descriptor, dtype);
|
|
}
|
|
|
|
Nd4jPointer getConstantDataBufferPrimary(nd4j::ConstantDataBuffer* dbf) {
|
|
return dbf->primary();
|
|
}
|
|
Nd4jPointer getConstantDataBufferSpecial(nd4j::ConstantDataBuffer* dbf) {
|
|
return dbf->special();
|
|
}
|
|
Nd4jLong getConstantDataBufferLength(nd4j::ConstantDataBuffer* dbf) {
|
|
return dbf->length();
|
|
}
|
|
Nd4jLong getConstantDataBufferSizeOf(nd4j::ConstantDataBuffer* dbf) {
|
|
return dbf->sizeOf();
|
|
}
|
|
|
|
|
|
nd4j::graph::Context* createGraphContext(int nodeId) {
|
|
return new nd4j::graph::Context(nodeId);
|
|
}
|
|
nd4j::graph::RandomGenerator* getGraphContextRandomGenerator(nd4j::graph::Context* ptr) {
|
|
return &ptr->randomGenerator();
|
|
}
|
|
void markGraphContextInplace(nd4j::graph::Context* ptr, bool reallyInplace) {
|
|
ptr->markInplace(reallyInplace);
|
|
}
|
|
void setGraphContextCudaContext(nd4j::graph::Context* ptr, void *stream, void *reductionPointer, void *allocationPointer) {
|
|
}
|
|
void setGraphContextInputArray(nd4j::graph::Context* ptr, int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
|
|
ptr->setInputArray(index, buffer, shapeInfo, specialBuffer, specialShapeInfo);
|
|
}
|
|
void setGraphContextOutputArray(nd4j::graph::Context* ptr, int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
|
|
ptr->setOutputArray(index, buffer, shapeInfo, specialBuffer, specialShapeInfo);
|
|
}
|
|
void setGraphContextTArguments(nd4j::graph::Context* ptr, double *arguments, int numberOfArguments) {
|
|
ptr->setTArguments(arguments, numberOfArguments);
|
|
}
|
|
void setGraphContextIArguments(nd4j::graph::Context* ptr, Nd4jLong *arguments, int numberOfArguments) {
|
|
ptr->setIArguments(arguments, numberOfArguments);
|
|
}
|
|
void setGraphContextBArguments(nd4j::graph::Context* ptr, bool *arguments, int numberOfArguments) {
|
|
ptr->setBArguments(arguments, numberOfArguments);
|
|
}
|
|
void deleteGraphContext(nd4j::graph::Context* ptr) {
|
|
delete ptr;
|
|
}
|
|
|
|
|
|
nd4j::graph::RandomGenerator* createRandomGenerator(Nd4jLong rootSeed, Nd4jLong nodeSeed) {
|
|
return new nd4j::graph::RandomGenerator(rootSeed, nodeSeed);
|
|
}
|
|
|
|
Nd4jLong getRandomGeneratorRootState(nd4j::graph::RandomGenerator* ptr) {
|
|
return ptr->rootState();
|
|
}
|
|
|
|
Nd4jLong getRandomGeneratorNodeState(nd4j::graph::RandomGenerator* ptr) {
|
|
return ptr->nodeState();
|
|
}
|
|
|
|
void setRandomGeneratorStates(nd4j::graph::RandomGenerator* ptr, Nd4jLong rootSeed, Nd4jLong nodeSeed) {
|
|
ptr->setStates(rootSeed, nodeSeed);
|
|
}
|
|
|
|
int getRandomGeneratorRelativeInt(nd4j::graph::RandomGenerator* ptr, Nd4jLong index) {
|
|
return ptr->relativeInt(index);
|
|
}
|
|
|
|
Nd4jLong getRandomGeneratorRelativeLong(nd4j::graph::RandomGenerator* ptr, Nd4jLong index) {
|
|
return ptr->relativeLong(index);
|
|
}
|
|
|
|
void deleteRandomGenerator(nd4j::graph::RandomGenerator* ptr) {
|
|
delete ptr;
|
|
}
|
|
|
|
|
|
int dataTypeFromNpyHeader(void *header) {
|
|
return (int) cnpy::dataTypeFromHeader(reinterpret_cast<char *>(header));
|
|
}
|
|
|
|
Nd4jPointer shapeBufferForNumpy(Nd4jPointer npyArray) {
|
|
cnpy::NpyArray arr = cnpy::loadNpyFromPointer(reinterpret_cast<char *>(npyArray));
|
|
unsigned int shapeSize = arr.shape.size();
|
|
std::vector<Nd4jLong> shape(shapeSize);
|
|
bool _empty = false;
|
|
for(unsigned int i = 0; i < shapeSize; i++) {
|
|
shape[i] = arr.shape[i];
|
|
|
|
if (arr.shape[i] == 0)
|
|
_empty = true;
|
|
}
|
|
|
|
auto dtype = cnpy::dataTypeFromHeader(reinterpret_cast<char *>(npyArray));
|
|
|
|
Nd4jLong *shapeBuffer;
|
|
if (shape.size() == 1 && shape[0] == 0) {
|
|
// scalar case
|
|
shapeBuffer = nd4j::ShapeBuilders::createScalarShapeInfo(dtype);
|
|
} else if (_empty) {
|
|
if (shapeSize > 0)
|
|
shapeBuffer = nd4j::ShapeBuilders::emptyShapeInfo(dtype, arr.fortranOrder ? 'f' : 'c', shape);
|
|
else
|
|
shapeBuffer = nd4j::ShapeBuilders::emptyShapeInfo(dtype);
|
|
} else {
|
|
shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(dtype, arr.fortranOrder ? 'f' : 'c', shape);
|
|
}
|
|
return reinterpret_cast<Nd4jPointer>(nd4j::ConstantShapeHelper::getInstance()->createFromExisting(shapeBuffer, true));
|
|
}
|
|
|
|
void sortByKey(Nd4jPointer *extraPointers,
|
|
void *x, Nd4jLong *xShapeInfo,
|
|
void *dx, Nd4jLong *dxShapeInfo,
|
|
void *y, Nd4jLong *yShapeInfo,
|
|
void *dy, Nd4jLong *dyShapeInfo,
|
|
bool descending) {
|
|
auto xType = ArrayOptions::dataType(xShapeInfo);
|
|
auto yType = ArrayOptions::dataType(yShapeInfo);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, yType, nd4j::DoubleMethods, ::sortByKey(x, xShapeInfo, y, yShapeInfo, descending), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
}
|
|
|
|
void sortByValue(Nd4jPointer *extraPointers,
|
|
void *x, Nd4jLong *xShapeInfo,
|
|
void *dx, Nd4jLong *dxShapeInfo,
|
|
void *y, Nd4jLong *yShapeInfo,
|
|
void *dy, Nd4jLong *dyShapeInfo,
|
|
bool descending) {
|
|
|
|
auto xType = ArrayOptions::dataType(xShapeInfo);
|
|
auto yType = ArrayOptions::dataType(yShapeInfo);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, yType, nd4j::DoubleMethods, ::sortByValue(x, xShapeInfo, y, yShapeInfo, descending), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
}
|
|
|
|
void sortTadByKey(Nd4jPointer *extraPointers,
|
|
void *x, Nd4jLong *xShapeInfo,
|
|
void *dx, Nd4jLong *dxShapeInfo,
|
|
void *y, Nd4jLong *yShapeInfo,
|
|
void *dy, Nd4jLong *dyShapeInfo,
|
|
int *dimension,
|
|
int dimensionLength,
|
|
bool descending) {
|
|
auto xType = ArrayOptions::dataType(xShapeInfo);
|
|
auto yType = ArrayOptions::dataType(yShapeInfo);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, yType, nd4j::DoubleMethods, ::sortTadByKey(x, xShapeInfo, y, yShapeInfo, dimension, dimensionLength, descending), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
}
|
|
|
|
void sortTadByValue(Nd4jPointer *extraPointers,
|
|
void *x, Nd4jLong *xShapeInfo,
|
|
void *dx, Nd4jLong *dxShapeInfo,
|
|
void *y, Nd4jLong *yShapeInfo,
|
|
void *dy, Nd4jLong *dyShapeInfo,
|
|
int *dimension,
|
|
int dimensionLength,
|
|
bool descending) {
|
|
auto xType = ArrayOptions::dataType(xShapeInfo);
|
|
auto yType = ArrayOptions::dataType(yShapeInfo);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, yType, nd4j::DoubleMethods, ::sortTadByValue(x, xShapeInfo, y, yShapeInfo, dimension, dimensionLength, descending), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
}
|
|
|
|
const char* runLightBenchmarkSuit(bool printOut) {
|
|
nd4j::LightBenchmarkSuit suit;
|
|
auto result = suit.runSuit();
|
|
|
|
if (printOut)
|
|
nd4j_printf("%s\n", result.data());
|
|
|
|
auto chars = new char[result.length()+1];
|
|
std::memcpy(chars, result.data(), result.length());
|
|
chars[result.length()] = (char) 0x0;
|
|
|
|
return chars;
|
|
}
|
|
|
|
Nd4jLong getCachedMemory(int deviceId) {
|
|
return nd4j::ConstantHelper::getInstance()->getCachedAmount(deviceId);
|
|
}
|
|
|
|
const char* runFullBenchmarkSuit(bool printOut) {
|
|
nd4j::FullBenchmarkSuit suit;
|
|
auto result = suit.runSuit();
|
|
|
|
if (printOut)
|
|
nd4j_printf("%s\n", result.data());
|
|
|
|
auto chars = new char[result.length()+1];
|
|
std::memcpy(chars, result.data(), result.length());
|
|
chars[result.length()] = (char) 0x0;
|
|
|
|
return chars;
|
|
}
|
|
|
|
|
|
BUILD_SINGLE_TEMPLATE(template void flattenGeneric,(Nd4jPointer*, int, char, void*, Nd4jLong*, void*, Nd4jLong*), LIBND4J_TYPES);
|
|
BUILD_SINGLE_TEMPLATE(template void pullRowsGeneric, (void *, Nd4jLong*, void*, Nd4jLong*, const int, Nd4jLong*, Nd4jLong*, Nd4jLong*, Nd4jLong*, Nd4jLong*), LIBND4J_TYPES);
|
|
BUILD_SINGLE_TEMPLATE(template void tearGeneric, (void *, Nd4jLong*, Nd4jPointer*, Nd4jLong*, Nd4jLong*, Nd4jLong*), LIBND4J_TYPES);
|
|
BUILD_SINGLE_TEMPLATE(template void shuffleGeneric, (void**, Nd4jLong**, void**, Nd4jLong**, int, int*, Nd4jLong**, Nd4jLong**), LIBND4J_TYPES);
|
|
|
|
|