wehub-resource-sync
123 lines
4.8 KiB
Plaintext
123 lines
4.8 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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* 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 Yurii Shyrma (iuriish@yahoo.com)
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//
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#include <array/ResultSet.h>
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#include <helpers/PointersManager.h>
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#include <ops/declarable/helpers/matrixSetDiag.h>
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#include "execution/cuda/LaunchDims.h"
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namespace sd {
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namespace ops {
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namespace helpers {
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///////////////////////////////////////////////////////////////////
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template <typename T>
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SD_KERNEL static void matrixSetDiagCuda(const void* vx, const LongType* xShapeInfo, const void* vy,
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const LongType* yShapeInfo, void* vz, const LongType* zShapeInfo,
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const bool zeroPad) {
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// x - input, shape [A,B,C]
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// y - diagonal, shape [A,B]
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// z - output, shape [A,B,C]
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const auto x = reinterpret_cast<const T*>(vx);
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const auto y = reinterpret_cast<const T*>(vy);
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auto z = reinterpret_cast<T*>(vz);
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__shared__ int xRank;
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__shared__ LongType xLen;
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__shared__ const LongType *shapeX, *strideX, *strideY, *strideZ;
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__shared__ bool areSameOffsets;
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if (threadIdx.x == 0) {
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xRank = shape::rank(xShapeInfo);
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xLen = shape::length(xShapeInfo);
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shapeX = shape::shapeOf(xShapeInfo);
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strideX = shape::stride(xShapeInfo);
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strideY = shape::stride(yShapeInfo);
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strideZ = shape::stride(zShapeInfo);
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areSameOffsets = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
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}
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__syncthreads();
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LongType coords[SD_MAX_RANK];
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const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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const auto step = gridDim.x * blockDim.x;
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for (LongType i = tid; i < xLen; i += step) {
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// Compute coordinates and offsets
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INDEX2COORDS(i, xRank, shapeX, coords);
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LongType xOffset, zOffset, yOffset;
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COORDS2INDEX(xRank, strideX, coords, xOffset);
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zOffset = areSameOffsets ? xOffset : 0;
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if (!areSameOffsets) {
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COORDS2INDEX(xRank, strideZ, coords, zOffset);
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}
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// Check if on the diagonal
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if (coords[xRank - 2] == coords[xRank - 1]) {
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COORDS2INDEX(xRank - 1, strideY, coords, yOffset);
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z[zOffset] = y[yOffset];
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} else {
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z[zOffset] = zeroPad ? static_cast<T>(0) : x[xOffset];
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}
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}
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}
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///////////////////////////////////////////////////////////////////
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template <typename T>
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static void matrixSetDiagCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMem,
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const cudaStream_t* stream, const void* vx, const LongType* xShapeInfo,
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const void* vy, const LongType* yShapeInfo, void* vz,
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const LongType* zShapeInfo, const bool zeroPad) {
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matrixSetDiagCuda<T>
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<<<blocksPerGrid, threadsPerBlock, sharedMem, *stream>>>(vx, xShapeInfo, vy, yShapeInfo, vz, zShapeInfo, zeroPad);
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sd::DebugHelper::checkErrorCode(const_cast<cudaStream_t *>(stream), "matrixSetDiagCuda failed");
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}
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///////////////////////////////////////////////////////////////////
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void matrixSetDiag(LaunchContext* context, NDArray& input, NDArray& diagonal, NDArray& output,
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const bool zeroPad) {
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const int threadsPerBlock = SD_MAX_NUM_THREADS / 2;
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const int blocksPerGrid = (input.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
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const int sharedMem = threadsPerBlock * sizeof(LongType) * input.rankOf() + 128;
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dim3 launchDims = matrixSetDiagDims(input.lengthOf(),input.rankOf());
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PointersManager manager(context, "matrixSetDiag");
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NDArray::prepareSpecialUse({&output}, {&input, &diagonal});
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BUILD_SINGLE_SELECTOR(input.dataType(), matrixSetDiagCudaLauncher,
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(launchDims.y, launchDims.x, launchDims.z, context->getCudaStream(), input.specialBuffer(),
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input.specialShapeInfo(), diagonal.specialBuffer(), diagonal.specialShapeInfo(),
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output.specialBuffer(), output.specialShapeInfo(), zeroPad),
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SD_COMMON_TYPES);
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NDArray::registerSpecialUse({&output}, {&input, &diagonal});
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manager.synchronize();
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}
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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