cavis/libnd4j/include/loops/cuda/specials/oesTad.cu

/* ******************************************************************************
 *
 *
 * 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
//

#include <ops/specials_cuda.h>

//////////////////////////////////////////////////////////////////////////
template <typename X, typename Y>
__global__ void execOesTadKernelKey(void *vx, Nd4jLong const* xShapeInfo,
                                    void *vy, Nd4jLong const* yShapeInfo,
                                 int *dimension, int dimensionLength,
                                 Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
                                 bool descending) {

    auto x = static_cast<X*>(vx);
    auto y = static_cast<Y*>(vy);

    __shared__ int xLength;
    __shared__ int xTadLength;
    __shared__ int numTads;
    if (threadIdx.x == 0) {
        xLength = shape::length(xShapeInfo);
        xTadLength = shape::length(tadShapeInfo);
        numTads = xLength / xTadLength;
    }
    __syncthreads();

    for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
        auto dx = x + tadOffsets[r];
        auto dy = y + tadOffsets[r];

        // this is general loop, we go uncached
        int iterations = xTadLength;

        for (int i = 0; i < iterations; i++) {

            if (i % 2 == 0) {
                for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                    auto top = 2 * tid + 1;
                    if (top < xTadLength) {
                        auto t0 = shape::getIndexOffset(top - 1, tadShapeInfo);
                        auto t1 = shape::getIndexOffset(top, tadShapeInfo);

                        if (!descending == (dx[t0] > dx[t1])) {
                            X dt0 = dx[t0];
                            dx[t0] = dx[t1];
                            dx[t1] = dt0;

                            Y dy0 = dy[t0];
                            dy[t0] = dy[t1];
                            dy[t1] = dy0;
                        }
                    }
                }
            } else {
                for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                    auto top = 2 * tid + 2;
                    if (top < xTadLength) {
                        auto t0 = shape::getIndexOffset(top - 1, tadShapeInfo);
                        auto t1 = shape::getIndexOffset(top, tadShapeInfo);

                        if (!descending == (dx[t0] > dx[t1])) {
                            X dt0 = dx[t0];
                            dx[t0] = dx[t1];
                            dx[t1] = dt0;

                            Y dy0 = dy[t0];
                            dy[t0] = dy[t1];
                            dy[t1] = dy0;
                        }
                    }
                }
            }
            __syncthreads();
        }
    }
}

//////////////////////////////////////////////////////////////////////////
template<typename T>
__global__ void execOesTadKernel(void *vx, Nd4jLong const* xShapeInfo,
                                int *dimension, int dimensionLength,
                                Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
                                bool descending) {

    auto x = static_cast<T*>(vx);
    const int sharedSize = 32768;

    __shared__ int xLength;
    __shared__ int xTadLength;
    __shared__ int numTads;
    __shared__ T *shmem;
    __shared__ bool cached;
    if (threadIdx.x == 0) {
        xLength = shape::length(xShapeInfo);
        xTadLength = shape::length(tadShapeInfo);
        numTads = xLength / xTadLength;

        extern __shared__ unsigned char shrd[];
        shmem = (T *) shrd;

        cached = xTadLength <= (sharedSize / sizeof(T));
    }
    __syncthreads();

    for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
        auto dx = x + tadOffsets[r];

        // this is general loop, we go uncached
        int iterations = xTadLength;
        if (cached) {
            for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                auto t0 = shape::getIndexOffset(tid, tadShapeInfo);
                shmem[tid] = dx[t0];
            }

            __syncthreads();
            dx = shmem;
        }

        for (int i = 0; i < iterations; i++) {

            if (i % 2 == 0) {
                for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                    auto top = 2 * tid + 1;
                    if (top < xTadLength) {
                        auto t0 = cached ? top - 1 : shape::getIndexOffset(top - 1, tadShapeInfo);
                        auto t1 = cached ? top : shape::getIndexOffset(top, tadShapeInfo);

                        if (!descending == (dx[t0] > dx[t1])) {
                            T dt0 = dx[t0];
                            dx[t0] = dx[t1];
                            dx[t1] = dt0;
                        }
                    }
                }
            } else {
                for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                    auto top = 2 * tid + 2;
                    if (top < xTadLength) {
                        auto t0 = cached ? top - 1 : shape::getIndexOffset(top - 1, tadShapeInfo);
                        auto t1 = cached ? top : shape::getIndexOffset(top, tadShapeInfo);

                        if (!descending == (dx[t0] > dx[t1])) {
                            T dt0 = dx[t0];
                            dx[t0] = dx[t1];
                            dx[t1] = dt0;
                        }
                    }
                }
            }
            __syncthreads();
        }


        if (cached) {
            dx = x + tadOffsets[r];
            for (int tid = threadIdx.x; tid < xTadLength; tid += blockDim.x) {
                auto t0 = shape::getIndexOffset(tid, tadShapeInfo);
                dx[t0] = shmem[tid];
            }
        }
    }
}

//////////////////////////////////////////////////////////////////////////
template<typename T>
__host__ void oesTadGeneric(dim3 &launchDims, cudaStream_t *stream,
                                void *vx, Nd4jLong const* xShapeInfo,
                                int *dimension, int dimensionLength,
                                Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
                                bool descending) {

    execOesTadKernel<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, xShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, descending);
}

template <typename X, typename Y>
__host__ void oesTadGenericKey(dim3 &launchDims, cudaStream_t *stream,
                            void *vx, Nd4jLong const* xShapeInfo,
                            void *vy, Nd4jLong const* yShapeInfo,
                            int *dimension, int dimensionLength,
                            Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
                            bool descending) {

    execOesTadKernelKey<X,Y><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, xShapeInfo, vy, yShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, descending);
}

BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT oesTadGeneric, (dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, int *dimension, int dimensionLength, Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets, bool descending), LIBND4J_TYPES);
BUILD_DOUBLE_TEMPLATE(template void ND4J_EXPORT oesTadGenericKey, (dim3 &launchDims, cudaStream_t *stream, void *vx, Nd4jLong const* xShapeInfo, void *vy, Nd4jLong const* yShapeInfo, int *dimension, int dimensionLength, Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets, bool descending), LIBND4J_TYPES, LIBND4J_TYPES);