wehub-resource-sync
136 lines
4.8 KiB
Plaintext
136 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, created on 10.06.2019
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//
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#include <helpers/PointersManager.h>
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#include <ops/declarable/helpers/cross.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 crossCuda(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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__shared__ const T* x;
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__shared__ const T* y;
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__shared__ T* z;
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__shared__ LongType rank;
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__shared__ LongType lenWithoutLastDim, totalThreads;
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__shared__ const LongType *xShape, *xStride, *yShape, *yStride, *zStride;
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if (threadIdx.x == 0) {
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x = reinterpret_cast<const T*>(vx);
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y = reinterpret_cast<const T*>(vy);
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z = reinterpret_cast<T*>(vz);
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rank = shape::rank(xShapeInfo);
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lenWithoutLastDim = shape::length(xShapeInfo) / xShapeInfo[rank];
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totalThreads = gridDim.x * blockDim.x;
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xShape = shape::shapeOf(xShapeInfo);
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xStride = shape::stride(xShapeInfo);
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yShape = shape::shapeOf(yShapeInfo);
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yStride = shape::stride(yShapeInfo);
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zStride = shape::stride(zShapeInfo);
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}
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__syncthreads();
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extern __shared__ LongType sharedMem[];
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auto coords = sharedMem + threadIdx.x * rank;
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const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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for (LongType i = tid; i < lenWithoutLastDim; i += totalThreads) {
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// Compute coordinates without the last dimension
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INDEX2COORDS(i, rank - 1, xShape, coords);
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coords[rank - 1] = 0;
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LongType xOffset, yOffset, zOffset;
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COORDS2INDEX(rank, xStride, coords, xOffset);
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COORDS2INDEX(rank, yStride, coords, yOffset);
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// Fetch elements for cross product
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const auto x0 = x[xOffset];
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const auto y0 = y[yOffset];
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xOffset += xStride[rank - 1];
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yOffset += yStride[rank - 1];
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const auto x1 = x[xOffset];
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const auto y1 = y[yOffset];
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xOffset += xStride[rank - 1];
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yOffset += yStride[rank - 1];
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const auto x2 = x[xOffset];
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const auto y2 = y[yOffset];
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// Compute offsets for output
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COORDS2INDEX(rank, zStride, coords, zOffset);
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z[zOffset] = x1 * y2 - x2 * y1;
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zOffset += zStride[rank - 1];
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z[zOffset] = x2 * y0 - x0 * y2;
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zOffset += zStride[rank - 1];
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z[zOffset] = x0 * y1 - x1 * y0;
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}
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}
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template <typename T>
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SD_HOST static void crossCudaLauncher(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) {
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crossCuda<T><<<blocksPerGrid, threadsPerBlock, sharedMem, *stream>>>(vx, xShapeInfo, vy, yShapeInfo, vz, zShapeInfo);
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DebugHelper::checkErrorCode(const_cast<cudaStream_t*>(stream),"crossCuda failed");
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}
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BUILD_SINGLE_TEMPLATE( void crossCudaLauncher,
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(const int blocksPerGrid, const int threadsPerBlock, const int sharedMem,
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const cudaStream_t* stream, const void* vx, const sd::LongType* xShapeInfo, const void* vy,
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const sd::LongType* yShapeInfo, void* vz, const sd::LongType* zShapeInfo),
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SD_NUMERIC_TYPES);
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void crossBatched(LaunchContext* context, NDArray* x, NDArray* y, NDArray* z) {
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dim3 launchDims = getCross(x->lengthOf(),x->rankOf(),x->sizeAt(-1));
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PointersManager manager(context, "cross");
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NDArray::prepareSpecialUse({z}, {x, y});
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BUILD_SINGLE_SELECTOR(
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x->dataType(), crossCudaLauncher,
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(launchDims.y, launchDims.x, launchDims.z, context->getCudaStream(), x->specialBuffer(), x->specialShapeInfo(),
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y->specialBuffer(), y->specialShapeInfo(), z->specialBuffer(), z->specialShapeInfo()),
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SD_NUMERIC_TYPES);
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NDArray::registerSpecialUse({z}, {x, y});
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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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