cavis/libnd4j/include/loops/cpu/random.hpp

/* ******************************************************************************
 *
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 *  See the NOTICE file distributed with this work for additional
 *  information regarding copyright ownership.
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

//
//  @author raver119@gmail.com, created on 15.12.17.
//  @author Yurii Shyrma (iuriish@yahoo.com)
//

#include <types/types.h>
#include <system/op_boilerplate.h>
#include <loops/random.h>
#include <helpers/OmpLaunchHelper.h>

using namespace randomOps;

namespace functions {
    namespace random {


        template<typename X>
        template<typename OpClass>
        void RandomFunction<X>::execTransform(Nd4jPointer state,
                                              const void *vx, const Nd4jLong *xShapeInfo,
                                              const void *vy, const Nd4jLong *yShapeInfo,
                                              void *vz, const Nd4jLong *zShapeInfo,
                                              void *vextraArguments) {

            auto x = reinterpret_cast<const X *>(vx);
            auto y = reinterpret_cast<const X *>(vy);
            auto z = reinterpret_cast<X *>(vz);
            auto extraArguments = reinterpret_cast<X *>(vextraArguments);

            if (OpClass::requiresSpecial) {
                OpClass::specialOp(state, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraArguments);
                return;
            }

            auto length = shape::length(zShapeInfo);

            sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);

            if(shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo) && shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {


                if(shape::elementWiseStride(zShapeInfo) ==  1 && shape::elementWiseStride(xShapeInfo) ==  1 && shape::elementWiseStride(yShapeInfo) ==  1 &&
                        shape::order(xShapeInfo) == shape::order(zShapeInfo) && shape::order(zShapeInfo) == shape::order(yShapeInfo) ){
                    
                    auto func = PRAGMA_THREADS_FOR {
                        PRAGMA_OMP_SIMD
                        for (auto i = start; i < stop; i++)  { 
                            z[i] = OpClass::op(x[i], y[i], i, length, rng, extraArguments);
                        }
                    };
                    samediff::Threads::parallel_for(func,  0, length, 1);
                }
                else{
                    uint xShapeInfoCast[MAX_RANK];
                    const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);

                    auto func = PRAGMA_THREADS_FOR {
                        PRAGMA_OMP_SIMD
                        for (auto i = start; i < stop; i++)  {
                            auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                            z[offset] = OpClass::op(x[offset], y[offset], i, length, rng, extraArguments);
                        }
                    };

                    samediff::Threads::parallel_for(func,  0, length, 1);
                }
            }
            else if (shape::haveSameShapeAndStrides(xShapeInfo, yShapeInfo)) {

                uint xShapeInfoCast[MAX_RANK];
                uint zShapeInfoCast[MAX_RANK];
                const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
                const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto offset  = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                        auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
                        z[zOffset] = OpClass::op(x[offset], y[offset], i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
            else if (shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {

                uint xShapeInfoCast[MAX_RANK];
                uint yShapeInfoCast[MAX_RANK];
                const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
                const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto offset  = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                        auto yOffset = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
                        z[offset] = OpClass::op(x[offset], y[yOffset], i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
            else if (shape::haveSameShapeAndStrides(yShapeInfo, zShapeInfo)) {

                uint xShapeInfoCast[MAX_RANK];
                uint yShapeInfoCast[MAX_RANK];
                const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
                const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                        auto offset  = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
                        z[offset] = OpClass::op(x[xOffset], y[offset], i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
            else {

                uint xShapeInfoCast[MAX_RANK];
                uint yShapeInfoCast[MAX_RANK];
                uint zShapeInfoCast[MAX_RANK];
                const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
                const bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
                const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                        auto yOffset = shape::indexOffset(i, yShapeInfo, yShapeInfoCast, canCastY);
                        auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
                        z[zOffset] = OpClass::op(x[xOffset], y[yOffset], i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
        };



        template<typename X>
        template<typename OpClass>
        void RandomFunction<X>::execTransform(Nd4jPointer state,
                                              const void *vx, const Nd4jLong *xShapeInfo,
                                              void *vz, const Nd4jLong *zShapeInfo,
                                              void *vextraArguments) {
            auto x = reinterpret_cast<const X *>(vx);
            auto z = reinterpret_cast<X *>(vz);
            auto extraArguments = reinterpret_cast<X *>(vextraArguments);

            auto length = shape::length(zShapeInfo);

            uint xShapeInfoCast[MAX_RANK];
            const bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);

            sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);

            if(shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo)) {

                if(shape::elementWiseStride(zShapeInfo) ==  1 &&  shape::elementWiseStride(xShapeInfo) ==  1 && shape::order(xShapeInfo) == shape::order(zShapeInfo)){
                    
                    auto func = PRAGMA_THREADS_FOR {
                        PRAGMA_OMP_SIMD
                        for (auto i = start; i < stop; i++)  { 
                            z[i] = OpClass::op(x[i], i, length, rng, extraArguments);
                        }
                    };
                    samediff::Threads::parallel_for(func,  0, length, 1);
                }
                else{
                    auto func = PRAGMA_THREADS_FOR {
                        PRAGMA_OMP_SIMD
                        for (auto i = start; i < stop; i++)  {
                            auto offset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                            z[offset] = OpClass::op(x[offset], i, length, rng, extraArguments);
                        }
                    };

                    samediff::Threads::parallel_for(func,  0, length, 1);
                }
            }
            else {

                uint zShapeInfoCast[MAX_RANK];
                const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
                        auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
                        z[zOffset] = OpClass::op(x[xOffset], i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
        }


        template<typename X>
        template<typename OpClass>
        void RandomFunction<X>::execTransform(Nd4jPointer state, void *vz, const Nd4jLong  *zShapeInfo, void *vextraArguments) {

            auto z = reinterpret_cast<X *>(vz);
            auto extraArguments = reinterpret_cast<X *>(vextraArguments);

            auto length = shape::length(zShapeInfo);

            sd::graph::RandomGenerator* rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);

            if(shape::elementWiseStride(zShapeInfo) ==  1){

                auto func = PRAGMA_THREADS_FOR {
                        PRAGMA_OMP_SIMD
                        for (auto i = start; i < stop; i++)  { 
                            z[i] = OpClass::op( i, length, rng, extraArguments);
                        }
                };

                samediff::Threads::parallel_for(func,  0, length, 1); 
            }
            else{
                sd::OmpLaunchHelper info(length);

                uint zShapeInfoCast[MAX_RANK];
                const bool canCastZ = sd::DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);

                auto func = PRAGMA_THREADS_FOR {
                    PRAGMA_OMP_SIMD
                    for (auto i = start; i < stop; i++)  {
                        auto offset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
                        z[offset] = OpClass::op(i, length, rng, extraArguments);
                    }
                };

                samediff::Threads::parallel_for(func,  0, length, 1);
            }
        }

        template<typename X>
        void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeInfo, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
            DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, x, xShapeInfo, z, zShapeInfo, extraArguments), RANDOM_OPS)
        }

        template<typename X>
        void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, const void *x, const Nd4jLong *xShapeInfo, const void *y, const Nd4jLong *yShapeInfo, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
            DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, x, xShapeInfo, y, yShapeInfo, z, zShapeInfo, extraArguments), RANDOM_OPS)
        }

        template<typename X>
        void RandomFunction<X>::execTransform(int opNum, Nd4jPointer state, void *z, const Nd4jLong *zShapeInfo, void *extraArguments) {
            DISPATCH_BY_OPNUM_T(execTransform, PARAMS(state, z, zShapeInfo, extraArguments), RANDOM_OPS)
        }


        //BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES);
    }
}