chore: import upstream snapshot with attribution
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/* ******************************************************************************
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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)
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#ifndef PAIRWISE_CU
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#define PAIRWISE_CU
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#include <loops/pairwise_instantiations.h>
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#include "../pairwise_transform.h"
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using namespace simdOps;
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////////////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y, typename Z, typename OpType>
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SD_KERNEL static void pairwiseSimpleShaped(void const* vx, sd::LongType const* xShapeInfo,
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void const* vy, sd::LongType const* yShapeInfo,
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void* vz, sd::LongType const* zShapeInfo,
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void* vextraParams) {
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auto x = static_cast<X const*>(vx);
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auto y = static_cast<Y const*>(vy);
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auto z = static_cast<Z*>(vz);
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auto extraParams= static_cast<Z*>(vextraParams);
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const int tid = blockIdx.x * blockDim.x + threadIdx.x;
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__shared__ sd::LongType len;
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__shared__ sd::LongType xRank;
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__shared__ sd::LongType yRank;
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__shared__ sd::LongType zRank;
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__shared__ const sd::LongType* xShape;
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__shared__ const sd::LongType* xStride;
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__shared__ const sd::LongType* yShape;
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__shared__ const sd::LongType* yStride;
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__shared__ const sd::LongType* zShape;
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__shared__ const sd::LongType* zStride;
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if (threadIdx.x == 0) {
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len = shape::length(xShapeInfo);
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xRank = shape::rank(xShapeInfo);
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xShape = shape::shapeOf(xShapeInfo);
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xStride = shape::stride(xShapeInfo);
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yRank = shape::rank(yShapeInfo);
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yShape = shape::shapeOf(yShapeInfo);
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yStride = shape::stride(yShapeInfo);
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zRank = shape::rank(zShapeInfo);
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zShape = shape::shapeOf(zShapeInfo);
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zStride = shape::stride(zShapeInfo);
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}
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__syncthreads();
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for (sd::LongType i = tid; i < len; i += (gridDim.x * blockDim.x)) {
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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 zCoords[SD_MAX_RANK];
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sd::LongType xOffset;
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sd::LongType yOffset;
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sd::LongType zOffset;
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INDEX2COORDS(i, xRank, xShape, xCoords);
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COORDS2INDEX(xRank, xStride, xCoords, xOffset);
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INDEX2COORDS(i, yRank, yShape, yCoords);
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COORDS2INDEX(yRank, yStride, yCoords, yOffset);
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INDEX2COORDS(i, zRank, zShape, zCoords);
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COORDS2INDEX(zRank, zStride, zCoords, zOffset);
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z[zOffset] = OpType::op(x[xOffset], y[yOffset], extraParams);
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}
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}
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namespace functions {
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namespace pairwise_transforms {
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////////////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y, typename Z>
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template <typename OpType>
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void SD_HOST PairWiseTransform<X, Y, Z>::intermediateShaped(dim3& launchDims,
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cudaStream_t* stream,
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void const* vx,
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sd::LongType const* xShapeInfo,
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void const* vy,
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sd::LongType const* yShapeInfo,
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void* vz,
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sd::LongType const* zShapeInfo,
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void* vextraParams) {
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pairwiseSimpleShaped<X, Y, Z, OpType>
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<<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
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vx, xShapeInfo,
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vy, yShapeInfo,
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vz, zShapeInfo,
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vextraParams);
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sd::DebugHelper::checkErrorCode(stream, "PairWiseTransform intermediateShaped(...) failed");
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}
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////////////////////////////////////////////////////////////////////////////////
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template <typename X, typename Y, typename Z>
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void SD_HOST PairWiseTransform<X, Y, Z>::executeCudaShaped(dim3& launchDims,
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cudaStream_t* stream,
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int opNum,
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void const* vx,
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sd::LongType const* xShapeInfo,
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void const* vy,
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sd::LongType const* yShapeInfo,
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void* vz,
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sd::LongType const* zShapeInfo,
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void* vextraParams) {
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DISPATCH_BY_OPNUM_TTT(
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intermediateShaped,
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PARAMS(launchDims, stream, vx, xShapeInfo, vy, yShapeInfo, vz, zShapeInfo, vextraParams),
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PAIRWISE_TRANSFORM_OPS);
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}
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} // namespace pairwise_transforms
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} // namespace functions
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#endif // PAIRWISE_CU
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