183 lines
6.0 KiB
Plaintext
183 lines
6.0 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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//
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// @author raver119@gmail.com
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// @author Yurii Shyrma, created on 15.11.2018
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//
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#include <loops/special_kernels.h>
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namespace sd {
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template <typename T>
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SD_KERNEL void execShuffleKernel(
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void** vdX,
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LongType** dxShapeInfo,
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void** vdZ,
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int N,
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int* shuffleMap,
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LongType** tadOnlyShapeInfo,
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LongType** tadOffsets) {
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const int tid = threadIdx.x + blockIdx.x * blockDim.x;
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const int totalThreads = gridDim.x * blockDim.x;
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// Main array shape data
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__shared__ int xRank;
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__shared__ LongType xLength;
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__shared__ const LongType* xShape;
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__shared__ const LongType* xStride;
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// TAD shape data
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__shared__ int tadRank;
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__shared__ int tadLength;
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__shared__ int numTads;
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__shared__ const LongType* tadShape;
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__shared__ const LongType* tadStride;
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// Current shape info pointer
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__shared__ LongType* xShapeInfo;
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// Process each array
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for (int arrIndex = 0; arrIndex < N; arrIndex++) {
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auto x = reinterpret_cast<T*>(vdX[arrIndex]);
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auto z = reinterpret_cast<T*>(vdZ[arrIndex]);
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if (threadIdx.x == 0) {
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// Cache main array shape data
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xShapeInfo = dxShapeInfo[arrIndex];
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xRank = shape::rank(xShapeInfo);
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xLength = shape::length(xShapeInfo);
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xShape = shape::shapeOf(xShapeInfo);
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xStride = shape::stride(xShapeInfo);
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// Cache TAD shape data
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tadLength = static_cast<int>(shape::length(tadOnlyShapeInfo[arrIndex]));
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tadRank = shape::rank(tadOnlyShapeInfo[arrIndex]);
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tadShape = shape::shapeOf(tadOnlyShapeInfo[arrIndex]);
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tadStride = shape::stride(tadOnlyShapeInfo[arrIndex]);
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numTads = static_cast<int>(xLength / tadLength);
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}
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__syncthreads();
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// Rank-1 case: treat as vector
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if (xRank == 1) {
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for (LongType elem = tid; elem < xLength; elem += totalThreads) {
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const int swapIndex = shuffleMap[elem];
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if (swapIndex >= 0 && swapIndex < xLength) {
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sd::LongType xCoords[SD_MAX_RANK];
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sd::LongType swapCoords[SD_MAX_RANK];
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sd::LongType xOffset;
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sd::LongType swapOffset;
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// Use cached shape data for coordinate transforms
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INDEX2COORDS(elem, xRank, xShape, xCoords);
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COORDS2INDEX(xRank, xStride, xCoords, xOffset);
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INDEX2COORDS(swapIndex, xRank, xShape, swapCoords);
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COORDS2INDEX(xRank, xStride, swapCoords, swapOffset);
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// Swap values
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T oldVal = x[xOffset];
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x[xOffset] = x[swapOffset];
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x[swapOffset] = oldVal;
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}
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}
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}
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else {
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// TAD-based processing
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for (LongType r = blockIdx.x; r < numTads; r += gridDim.x) {
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const int swapTarget = shuffleMap[r];
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if (swapTarget >= 0) {
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const auto oldOffset = tadOffsets[arrIndex][r];
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const auto newOffset = tadOffsets[arrIndex][swapTarget];
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// Pointers to TADs
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auto rX = x + oldOffset;
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auto rY = x + newOffset;
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auto zX = z + oldOffset;
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auto zY = z + newOffset;
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// Process elements within TAD
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for (LongType i = threadIdx.x; i < tadLength; i += blockDim.x) {
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sd::LongType xCoords[SD_MAX_RANK];
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sd::LongType xOffset;
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sd::LongType yCoords[SD_MAX_RANK];
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sd::LongType yOffset;
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// Use cached TAD shape data for coordinate transforms
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INDEX2COORDS(i, tadRank, tadShape, xCoords);
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COORDS2INDEX(tadRank, tadStride, xCoords, xOffset);
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INDEX2COORDS(i, tadRank, tadShape, yCoords);
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COORDS2INDEX(tadRank, tadStride, yCoords, yOffset);
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// Add TAD base offsets
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xOffset += oldOffset;
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yOffset += newOffset;
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// Perform swap via z array
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T oldVal = x[xOffset];
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z[xOffset] = x[yOffset];
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z[yOffset] = oldVal;
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}
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}
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}
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}
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__syncthreads();
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}
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}
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template <typename T>
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SD_HOST void shuffleKernelGeneric(
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dim3 &launchDims,
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cudaStream_t *stream,
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void** vdX,
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LongType** xShapeInfo,
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void** vdZ,
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int N,
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int* shuffleMap,
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LongType** tadOnlyShapeInfo,
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LongType** tadOffsets) {
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execShuffleKernel<T>
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<<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
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vdX,
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xShapeInfo,
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vdZ,
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N,
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shuffleMap,
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tadOnlyShapeInfo,
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tadOffsets);
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DebugHelper::checkErrorCode(stream, "shuffleGeneric(...) failed");
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}
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BUILD_SINGLE_TEMPLATE(
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template void shuffleKernelGeneric,
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(dim3 & launchDims,
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cudaStream_t *stream,
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void** vdX,
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sd::LongType** xShapeInfo,
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void** vdZ,
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int N,
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int* shuffleMap,
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sd::LongType** tadOnlyShapeInfo,
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sd::LongType** tadOffsets),
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SD_COMMON_TYPES);
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} // namespace sd
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