/* ****************************************************************************** * * * This program and the accompanying materials are made available under the * terms of the Apache License, Version 2.0 which is available at * https://www.apache.org/licenses/LICENSE-2.0. * * See the NOTICE file distributed with this work for additional * information regarding copyright ownership. * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the * License for the specific language governing permissions and limitations * under the License. * * SPDX-License-Identifier: Apache-2.0 ******************************************************************************/ // // @author raver119@gmail.com // @author Yurii Shyrma, created on 27.11.2018 // #include #include namespace sd { //////////////////////////////////////////////////////////////////////// template __global__ void flattenKernel( Nd4jPointer *extraPointers, int dOffset, char order, void *vz, Nd4jLong *zShapeInfo, void *vy, Nd4jLong *yShapeInfo) { auto z = reinterpret_cast(vz); auto y = reinterpret_cast(vy); __shared__ Nd4jLong lenY, yOrder, zEWS, yEWS; if (threadIdx.x == 0) { yEWS = shape::elementWiseStride(yShapeInfo); zEWS = shape::elementWiseStride(zShapeInfo); lenY = shape::length(yShapeInfo); } __syncthreads(); Nd4jLong tid = blockIdx.x * blockDim.x + threadIdx.x; for(auto i = tid; i < lenY; i += gridDim.x * blockDim.x) z[i * zEWS + dOffset] = y[ops::helpers::getIndexOffsetOrdered(i, yShapeInfo, order)]; } //////////////////////////////////////////////////////////////////////// template __host__ void flattenKernelGeneric(dim3& launchDims, cudaStream_t *stream, Nd4jPointer *extraPointers, int dOffset, char order, void *vz, Nd4jLong *zShapeInfo, void *vy, Nd4jLong *yShapeInfo) { flattenKernel<<>>(extraPointers, dOffset, order, vz, zShapeInfo, vy, yShapeInfo); sd::DebugHelper::checkErrorCode(stream, "flattenGeneric(...) failed"); } BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT flattenKernelGeneric, (dim3& launchDims, cudaStream_t *stream, Nd4jPointer *extraPointers, int dOffset, char order, void *vz, Nd4jLong *zShapeInfo, void *vy, Nd4jLong *yShapeInfo), LIBND4J_TYPES); }