wehub-resource-sync
704 lines
24 KiB
Plaintext
704 lines
24 KiB
Plaintext
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See
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* the 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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// @author raver119@gmail.com
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 19.11.2018
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#include <system/op_boilerplate.h>
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#include <loops/reduce3.h>
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#include <loops/legacy_ops.h>
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#include <types/types.h>
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#include <ops/specials_cuda.h>
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using namespace simdOps;
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namespace functions {
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namespace reduce3 {
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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SD_KERNEL void execScalarGeneric(const int opNum,
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void *extraParams,
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void *vz, sd::LongType const* zShapeInfo,
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sd::LongType* allocationPointer,
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void *reductionBuffer,
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sd::LongType const* tadOnlyShapeInfo) {
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Reduce3<X, Z>::execScalarCuda(opNum,
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vx, xShapeInfo,
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vy, yShapeInfo,
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extraParams,
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vz, zShapeInfo,
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allocationPointer,
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reductionBuffer,
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tadOnlyShapeInfo);
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}
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template <typename X, typename Z>
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SD_KERNEL void execAllGeneric(const int opNum,
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void *extraParams,
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void *vz, sd::LongType const* zShapeInfo,
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sd::LongType* dimension,
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long long int dimensionLength,
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int postProcessOrNot,
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sd::LongType* allocationPointer,
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sd::LongType const* tadOnlyShapeInfo,
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sd::LongType const* tadOffsets,
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sd::LongType const* yTadOnlyShapeInfo,
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sd::LongType const* yTadOffsets) {
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Reduce3<X, Z>::execAllCuda(opNum,
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vx, xShapeInfo,
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vy, yShapeInfo,
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extraParams,
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vz, zShapeInfo,
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dimension, dimensionLength,
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postProcessOrNot,
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allocationPointer,
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tadOnlyShapeInfo, tadOffsets,
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yTadOnlyShapeInfo, yTadOffsets);
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}
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////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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SD_KERNEL void execGeneric(const int opNum,
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void *extraParams,
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void *vz, sd::LongType const* zShapeInfo,
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sd::LongType *dimension,
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sd::LongType dimensionLength,
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int postProcessOrNot,
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sd::LongType* allocationPointer,
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sd::LongType const* tadOnlyShapeInfo,
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sd::LongType const* tadOffsets,
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sd::LongType const* yTadOnlyShapeInfo,
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sd::LongType const* yTadOffsets) {
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Reduce3<X, Z>::execCuda(opNum,
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vx, xShapeInfo,
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vy, yShapeInfo,
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extraParams,
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vz, zShapeInfo,
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dimension, dimensionLength,
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postProcessOrNot,
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allocationPointer,
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tadOnlyShapeInfo, tadOffsets,
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yTadOnlyShapeInfo, yTadOffsets);
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template <typename OpType>
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SD_DEVICE void Reduce3<X, Z>::aggregatePartials(void* vsPartials,
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sd::LongType tid,
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sd::LongType numItems,
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void* vextraParams) {
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auto sPartials = reinterpret_cast<Z*>(vsPartials);
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auto extraParams = reinterpret_cast<Z*>(vextraParams);
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sd::LongType floorPow2 = numItems;
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if (floorPow2 & (floorPow2 - 1)) {
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while (floorPow2 & (floorPow2 - 1))
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floorPow2 &= floorPow2 - 1;
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if (tid >= floorPow2)
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sPartials[tid - floorPow2] =
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OpType::update(sPartials[tid - floorPow2], sPartials[tid], extraParams);
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__syncthreads();
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}
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for (sd::LongType activeThreads = floorPow2 >> 1; activeThreads; activeThreads >>= 1) {
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if (tid < activeThreads) {
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sPartials[tid] =
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OpType::update(sPartials[tid], sPartials[tid + activeThreads], extraParams);
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}
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__syncthreads();
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}
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template <typename OpType>
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SD_DEVICE void Reduce3<X, Z>::execScalarCuda(
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void* extraParams,
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void* vz, sd::LongType const* zShapeInfo,
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sd::LongType* allocationPointer,
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void* reductionBuffer,
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sd::LongType const* tadOnlyShapeInfo) {
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auto x = reinterpret_cast<const X*>(vx);
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auto y = reinterpret_cast<const X*>(vy);
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auto z = reinterpret_cast<Z*>(vz);
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__shared__ sd::LongType length;
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__shared__ Z extraZ[3]; // just 3 values used in logic below
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__shared__ Z sPartials[SD_CUDA_BLOCK_SIZE];
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// Cache rank/shape/stride for x and y in __shared__
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__shared__ sd::LongType xRank;
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__shared__ const sd::LongType* xShapePtr;
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__shared__ const sd::LongType* xStridePtr;
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__shared__ sd::LongType yRank;
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__shared__ const sd::LongType* yShapePtr;
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__shared__ const sd::LongType* yStridePtr;
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int tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (threadIdx.x == 0) {
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length = shape::length(xShapeInfo);
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xRank = shape::rank(xShapeInfo);
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xShapePtr = shape::shapeOf(xShapeInfo);
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xStridePtr = shape::stride(xShapeInfo);
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yRank = shape::rank(yShapeInfo);
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yShapePtr = shape::shapeOf(yShapeInfo);
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yStridePtr = shape::stride(yShapeInfo);
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extraZ[0] = (Z) 0.0f;
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extraZ[1] = (Z) 0.0f;
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extraZ[2] = extraParams != nullptr
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? (reinterpret_cast<Z*>(extraParams))[2]
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: (Z) 0.0f;
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}
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__syncthreads();
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sPartials[threadIdx.x] = OpType::startingValue(x);
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char xOrder = shape::order(xShapeInfo);
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char yOrder = shape::order(yShapeInfo);
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sd::LongType gridSize = gridDim.x * blockDim.x;
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// fill partial sums
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for (sd::LongType i = tid; i < length; i += gridSize) {
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sd::LongType xCoords[SD_MAX_RANK];
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sd::LongType yCoords[SD_MAX_RANK];
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sd::LongType xOffset;
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sd::LongType yOffset;
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INDEX2COORDS(i, xRank, xShapePtr, xCoords);
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COORDS2INDEX(xRank, xStridePtr, xCoords, xOffset);
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INDEX2COORDS(i, yRank, yShapePtr, yCoords);
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COORDS2INDEX(yRank, yStridePtr, yCoords, yOffset);
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sPartials[threadIdx.x] =
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OpType::update(sPartials[threadIdx.x],
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OpType::opAtomic(x[xOffset], y[yOffset], extraZ),
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extraZ);
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}
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__syncthreads();
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// reduce partial sums
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aggregatePartials<OpType>(
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reinterpret_cast<void*>(sPartials),
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threadIdx.x,
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sd::math::sd_min<int>(blockDim.x, length),
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extraZ);
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__syncthreads();
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// multi-block reduce
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if (gridDim.x > 1) {
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auto tc = reinterpret_cast<unsigned int*>(reductionBuffer);
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__shared__ bool amLast;
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tid = threadIdx.x;
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Z* extraBuffer = reinterpret_cast<Z*>(allocationPointer);
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if (threadIdx.x == 0) {
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reinterpret_cast<Z*>(reductionBuffer)[blockIdx.x] = sPartials[0];
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extraBuffer[blockIdx.x] = extraZ[0];
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extraBuffer[gridDim.x + blockIdx.x] = extraZ[1];
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}
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__threadfence();
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__syncthreads();
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if (threadIdx.x == 0) {
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unsigned int ticket = atomicInc(&tc[16384], gridDim.x);
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amLast = (ticket == gridDim.x - 1);
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}
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sPartials[tid] = OpType::startingValue(x);
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__syncthreads();
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if (amLast) {
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tc[16384] = 0; // reset
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sPartials[threadIdx.x] = OpType::startingValue(x);
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if (tid == 0 && extraZ[0] != static_cast<Z>(0) && extraZ[1] != static_cast<Z>(0)) {
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extraZ[0] = 0.0;
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extraZ[1] = 0.0;
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for (int i = 0; i < gridDim.x; i++) {
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extraZ[0] += extraBuffer[i];
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extraZ[1] += extraBuffer[gridDim.x + i];
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}
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}
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for (sd::LongType i = threadIdx.x; i < gridDim.x; i += blockDim.x) {
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sPartials[threadIdx.x] =
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OpType::update(sPartials[threadIdx.x],
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(reinterpret_cast<Z*>(reductionBuffer))[i],
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extraZ);
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}
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__syncthreads();
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aggregatePartials<OpType>(
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reinterpret_cast<void*>(sPartials),
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threadIdx.x,
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sd::math::sd_min<int>(gridDim.x, blockDim.x),
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extraZ);
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__syncthreads();
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if (threadIdx.x == 0) {
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z[0] = OpType::postProcess(sPartials[0], length, extraZ);
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}
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}
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} else {
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if (tid == 0) {
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auto tc = reinterpret_cast<unsigned int*>(reductionBuffer);
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tc[16384] = 0;
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z[0] = OpType::postProcess(sPartials[0], length, extraZ);
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}
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}
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template <typename OpType>
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SD_DEVICE void Reduce3<X, Z>::transformAll(
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void* extraParams,
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void* vz, sd::LongType const* zShapeInfo,
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sd::LongType* dimension, sd::LongType dimensionLength,
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int postProcessOrNot, sd::LongType* allocationPointer,
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sd::LongType const* xTadShapeInfo, sd::LongType const* xOffsets,
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sd::LongType const* yTadShapeInfo, sd::LongType const* yOffsets) {
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auto dx = reinterpret_cast<const X*>(vx);
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auto dy = reinterpret_cast<const X*>(vy);
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auto z = reinterpret_cast<Z*>(vz);
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__shared__ Z sPartials[SD_CUDA_BLOCK_SIZE];
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__shared__ Z extraZ[OpType::extraParamsLen > 0 ? OpType::extraParamsLen : 1];
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__shared__ int xTadLength;
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__shared__ int yTadLength;
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__shared__ int xTads;
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__shared__ int yTads;
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// Cache shape info for xTadShapeInfo and yTadShapeInfo
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__shared__ sd::LongType xTadRank;
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__shared__ const sd::LongType* xTadShapePtr;
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__shared__ const sd::LongType* xTadStridePtr;
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__shared__ sd::LongType yTadRank;
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__shared__ const sd::LongType* yTadShapePtr;
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__shared__ const sd::LongType* yTadStridePtr;
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if (threadIdx.x == 0) {
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sPartials[threadIdx.x] = OpType::startingValue(dx);
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xTadLength = shape::length(xTadShapeInfo);
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yTadLength = shape::length(yTadShapeInfo);
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xTads = shape::length(xShapeInfo) / xTadLength;
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yTads = shape::length(yShapeInfo) / yTadLength;
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xTadRank = shape::rank(xTadShapeInfo);
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xTadShapePtr = shape::shapeOf(xTadShapeInfo);
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xTadStridePtr = shape::stride(xTadShapeInfo);
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yTadRank = shape::rank(yTadShapeInfo);
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yTadShapePtr = shape::shapeOf(yTadShapeInfo);
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yTadStridePtr = shape::stride(yTadShapeInfo);
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}
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__syncthreads();
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Z startingVal = OpType::startingValue(dx);
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const int maxBlock = blockDim.x;
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const int limit = (xTadLength + maxBlock - 1) / maxBlock; // ceiling division
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for (int r = blockIdx.x; r < xTads; r += (blockDim.x * gridDim.x)) {
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// load partial x
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auto xLocal = dx + xOffsets[r];
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// Fill tile for x once if thread < xTadLength
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__shared__ X sXCache[SD_CUDA_BLOCK_SIZE];
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if (threadIdx.x < xTadLength && threadIdx.x < maxBlock) {
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sd::LongType xCoords[SD_MAX_RANK];
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sd::LongType xOff;
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INDEX2COORDS(threadIdx.x, xTadRank, xTadShapePtr, xCoords);
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COORDS2INDEX(xTadRank, xTadStridePtr, xCoords, xOff);
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sXCache[threadIdx.x] = xLocal[xOff];
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}
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__syncthreads();
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for (int g = 0; g < yTads; g++) {
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auto yLocal = dy + yOffsets[g];
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int ri = (r * yTads) + g;
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sPartials[threadIdx.x] = startingVal;
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if (OpType::extraParamsLen > 0 && threadIdx.x < OpType::extraParamsLen) {
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extraZ[threadIdx.x] = startingVal;
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}
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__syncthreads();
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// Possibly multiple tiles per x
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for (int t = 0; t < limit; t++) {
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// re-fetch x tile if needed
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if (t >= 1 && (threadIdx.x + t * maxBlock < xTadLength)) {
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sd::LongType xCoords[SD_MAX_RANK];
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sd::LongType xOff;
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INDEX2COORDS(threadIdx.x + t * maxBlock,
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xTadRank, xTadShapePtr, xCoords);
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COORDS2INDEX(xTadRank, xTadStridePtr, xCoords, xOff);
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sXCache[threadIdx.x] = xLocal[xOff];
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}
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__syncthreads();
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// compute partials
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for (int f = threadIdx.x + t * maxBlock; (f < xTadLength) && (f < (t + 1) * maxBlock); f += (blockDim.x * gridDim.x)) {
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sd::LongType yCoords[SD_MAX_RANK];
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sd::LongType yOff;
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INDEX2COORDS(f, yTadRank, yTadShapePtr, yCoords);
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COORDS2INDEX(yTadRank, yTadStridePtr, yCoords, yOff);
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sPartials[threadIdx.x] = OpType::update(
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sPartials[threadIdx.x],
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OpType::opAtomic(sXCache[threadIdx.x], yLocal[yOff], extraZ),
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extraZ);
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}
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__syncthreads();
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}
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// reduce partials
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aggregatePartials<OpType>(
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reinterpret_cast<void*>(sPartials),
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threadIdx.x,
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sd::math::sd_min<int>(blockDim.x, xTadLength),
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extraZ);
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__syncthreads();
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// store final
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if (threadIdx.x == 0) {
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z[ri] = OpType::postProcess(sPartials[0], xTadLength, extraZ);
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}
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__syncthreads();
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}
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}
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}
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//////////////////////////////////////////////////////////////////////////
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template <typename X, typename Z>
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template <typename OpType>
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SD_DEVICE void Reduce3<X, Z>::transform(
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void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void* extraParams,
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void* vz, sd::LongType const* zShapeInfo,
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sd::LongType* dimension, sd::LongType dimensionLength,
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int postProcessOrNot,
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sd::LongType* allocationPointer,
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sd::LongType const* tadOnlyShapeInfo,
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sd::LongType const* tadOffsets,
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sd::LongType const* yTadOnlyShapeInfo,
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sd::LongType const* yTadOffsets) {
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if (shape::isScalar(zShapeInfo))
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return; // no-op if scalar
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if (yTadOnlyShapeInfo == nullptr)
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yTadOnlyShapeInfo = yShapeInfo; // execReduce3TAD case
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auto x = reinterpret_cast<const X*>(vx);
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auto y = reinterpret_cast<const X*>(vy);
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auto z = reinterpret_cast<Z*>(vz);
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// For partial sums
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__shared__ Z extraZ[OpType::extraParamsLen > 0 ? OpType::extraParamsLen : 1];
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__shared__ Z sPartials[SD_CUDA_BLOCK_SIZE];
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__shared__ sd::LongType tadLen;
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__shared__ sd::LongType zLen;
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__shared__ sd::LongType yTadNum;
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__shared__ sd::LongType xTadEws;
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__shared__ sd::LongType yTadEws;
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__shared__ char xTadOrder;
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__shared__ char yTadOrder;
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// Cache shape info
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__shared__ sd::LongType xTadRank;
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__shared__ const sd::LongType* xTadShape;
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__shared__ const sd::LongType* xTadStride;
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__shared__ sd::LongType yTadRank;
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__shared__ const sd::LongType* yTadShape;
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__shared__ const sd::LongType* yTadStride;
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__shared__ sd::LongType zRank; // Might not be used, but let's keep consistent
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__shared__ const sd::LongType* zShapePtr;
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__shared__ const sd::LongType* zStridePtr;
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if (threadIdx.x == 0) {
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tadLen = shape::length(tadOnlyShapeInfo);
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zLen = shape::length(zShapeInfo);
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yTadNum = shape::length(yShapeInfo) / tadLen;
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xTadEws = shape::elementWiseStride(tadOnlyShapeInfo);
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yTadEws = shape::elementWiseStride(yTadOnlyShapeInfo);
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xTadOrder = shape::order(tadOnlyShapeInfo);
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yTadOrder = shape::order(yTadOnlyShapeInfo);
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xTadRank = shape::rank(tadOnlyShapeInfo);
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xTadShape = shape::shapeOf(tadOnlyShapeInfo);
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xTadStride = shape::stride(tadOnlyShapeInfo);
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yTadRank = shape::rank(yTadOnlyShapeInfo);
|
|
yTadShape = shape::shapeOf(yTadOnlyShapeInfo);
|
|
yTadStride = shape::stride(yTadOnlyShapeInfo);
|
|
|
|
zRank = shape::rank(zShapeInfo);
|
|
zShapePtr = shape::shapeOf(zShapeInfo);
|
|
zStridePtr = shape::stride(zShapeInfo);
|
|
|
|
sPartials[threadIdx.x] = OpType::startingValue(x);
|
|
}
|
|
__syncthreads();
|
|
|
|
Z startingVal = OpType::startingValue(x);
|
|
|
|
// either a direct ews approach or fallback
|
|
for (int i = blockIdx.x; i < zLen; i += gridDim.x) {
|
|
sd::LongType xBaseOffset = tadOffsets[i];
|
|
sd::LongType yBaseOffset = (yTadNum == 1 ? 0 : yTadOffsets[i]);
|
|
|
|
if (OpType::extraParamsLen > 0 && threadIdx.x < OpType::extraParamsLen) {
|
|
extraZ[threadIdx.x] = startingVal;
|
|
}
|
|
__syncthreads();
|
|
|
|
// partial sums
|
|
for (int j = threadIdx.x; j < tadLen; j += blockDim.x) {
|
|
sd::LongType xCoords[SD_MAX_RANK];
|
|
sd::LongType yCoords[SD_MAX_RANK];
|
|
sd::LongType xOff;
|
|
sd::LongType yOff;
|
|
|
|
INDEX2COORDS(j, xTadRank, xTadShape, xCoords);
|
|
COORDS2INDEX(xTadRank, xTadStride, xCoords, xOff);
|
|
|
|
INDEX2COORDS(j, yTadRank, yTadShape, yCoords);
|
|
COORDS2INDEX(yTadRank, yTadStride, yCoords, yOff);
|
|
|
|
// update partial
|
|
if (j < blockDim.x) {
|
|
sPartials[threadIdx.x] =
|
|
OpType::opAtomic(x[xBaseOffset + xOff],
|
|
y[yBaseOffset + yOff],
|
|
extraZ);
|
|
} else {
|
|
sPartials[threadIdx.x] = OpType::update(
|
|
sPartials[threadIdx.x],
|
|
OpType::opAtomic(x[xBaseOffset + xOff],
|
|
y[yBaseOffset + yOff],
|
|
extraZ),
|
|
extraZ);
|
|
}
|
|
}
|
|
__syncthreads();
|
|
|
|
// reduce partials
|
|
aggregatePartials<OpType>(
|
|
reinterpret_cast<void*>(sPartials),
|
|
threadIdx.x,
|
|
sd::math::sd_min<int>(blockDim.x, tadLen),
|
|
extraZ);
|
|
__syncthreads();
|
|
|
|
// write final
|
|
if (threadIdx.x == 0) {
|
|
z[i] = OpType::postProcess(sPartials[0], tadLen, extraZ);
|
|
}
|
|
__syncthreads();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Y>
|
|
SD_DEVICE void Reduce3<X, Y>::execCuda(
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* dimension, sd::LongType dimensionLength,
|
|
int postProcessOrNot, sd::LongType* allocationPointer,
|
|
sd::LongType const* tadOnlyShapeInfo, sd::LongType const* tadOffsets,
|
|
sd::LongType const* yTadOnlyShapeInfo, sd::LongType const* yTadOffsets) {
|
|
|
|
DISPATCH_BY_OPNUM_TT(
|
|
transform,
|
|
PARAMS(vx, xShapeInfo, vy, yShapeInfo,
|
|
extraParams, vz, zShapeInfo,
|
|
dimension, dimensionLength, postProcessOrNot,
|
|
allocationPointer, tadOnlyShapeInfo, tadOffsets,
|
|
yTadOnlyShapeInfo, yTadOffsets),
|
|
REDUCE3_OPS);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Y>
|
|
SD_DEVICE void Reduce3<X, Y>::execAllCuda(
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* dimension, sd::LongType dimensionLength,
|
|
int postProcessOrNot, sd::LongType* allocationPointer,
|
|
sd::LongType const* tadOnlyShapeInfo, sd::LongType const* tadOffsets,
|
|
sd::LongType const* yTadOnlyShapeInfo, sd::LongType const* yTadOffsets) {
|
|
|
|
DISPATCH_BY_OPNUM_TT(
|
|
transformAll,
|
|
PARAMS(vx, xShapeInfo, vy, yShapeInfo,
|
|
extraParams, vz, zShapeInfo,
|
|
dimension, dimensionLength,
|
|
postProcessOrNot, allocationPointer,
|
|
tadOnlyShapeInfo, tadOffsets,
|
|
yTadOnlyShapeInfo, yTadOffsets),
|
|
REDUCE3_OPS);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Y>
|
|
SD_DEVICE void Reduce3<X, Y>::execScalarCuda(
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* allocationPointer,
|
|
void* reductionBuffer,
|
|
sd::LongType const* tadOnlyShapeInfo) {
|
|
|
|
DISPATCH_BY_OPNUM_TT(
|
|
execScalarCuda,
|
|
PARAMS(vx, xShapeInfo, vy, yShapeInfo,
|
|
extraParams, vz, zShapeInfo,
|
|
allocationPointer, reductionBuffer, tadOnlyShapeInfo),
|
|
REDUCE3_OPS);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
SD_HOST void Reduce3<X, Z>::exec(
|
|
dim3 launchDims, cudaStream_t* stream,
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* dimension,
|
|
sd::LongType dimensionLength,
|
|
int postProcessOrNot,
|
|
sd::LongType* allocationPointer,
|
|
sd::LongType const* tadOnlyShapeInfo,
|
|
sd::LongType const* tadOffsets,
|
|
sd::LongType const* yTadOnlyShapeInfo,
|
|
sd::LongType const* yTadOffsets) {
|
|
|
|
execGeneric<X, Z><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
|
|
opNum,
|
|
vx, xShapeInfo,
|
|
vy, yShapeInfo,
|
|
extraParams,
|
|
vz, zShapeInfo,
|
|
dimension, dimensionLength,
|
|
postProcessOrNot,
|
|
allocationPointer,
|
|
tadOnlyShapeInfo, tadOffsets,
|
|
yTadOnlyShapeInfo, yTadOffsets);
|
|
sd::DebugHelper::checkErrorCode(stream, "reduce3exec(...) failed");
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
SD_HOST void Reduce3<X, Z>::execAll(
|
|
dim3 launchDims, cudaStream_t* stream,
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* dimension, long long int dimensionLength,
|
|
int postProcessOrNot,
|
|
sd::LongType* allocationPointer,
|
|
sd::LongType const* tadOnlyShapeInfo,
|
|
sd::LongType const* tadOffsets,
|
|
sd::LongType const* yTadOnlyShapeInfo,
|
|
sd::LongType const* yTadOffsets) {
|
|
|
|
execAllGeneric<X, Z><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
|
|
opNum, vx, xShapeInfo,
|
|
vy, yShapeInfo,
|
|
extraParams,
|
|
vz, zShapeInfo,
|
|
dimension, dimensionLength,
|
|
postProcessOrNot,
|
|
allocationPointer,
|
|
tadOnlyShapeInfo, tadOffsets,
|
|
yTadOnlyShapeInfo, yTadOffsets);
|
|
sd::DebugHelper::checkErrorCode(stream, "execAllGeneric(...) failed");
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z>
|
|
SD_HOST void Reduce3<X, Z>::execScalar(
|
|
dim3 launchDims, cudaStream_t* stream,
|
|
int opNum,
|
|
void const* vx, sd::LongType const* xShapeInfo,
|
|
void const* vy, sd::LongType const* yShapeInfo,
|
|
void* extraParams,
|
|
void* vz, sd::LongType const* zShapeInfo,
|
|
sd::LongType* allocationPointer,
|
|
void* reductionBuffer,
|
|
sd::LongType const* tadOnlyShapeInfo) {
|
|
|
|
execScalarGeneric<X, Z><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
|
|
opNum,
|
|
vx, xShapeInfo,
|
|
vy, yShapeInfo,
|
|
extraParams,
|
|
vz, zShapeInfo,
|
|
allocationPointer,
|
|
reductionBuffer,
|
|
tadOnlyShapeInfo);
|
|
sd::DebugHelper::checkErrorCode(stream, "execScalarGeneric(...) failed");
|
|
}
|
|
|
|
} // namespace reduce3
|
|
} // namespace functions
|