130 lines
4.8 KiB
Plaintext
130 lines
4.8 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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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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* 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), created on 20.04.2018
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//
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#include<ops/declarable/helpers/transforms.h>
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#include <array/ResultSet.h>
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#include <helpers/ShapeUtils.h>
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#include <numeric>
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#include <NDArrayFactory.h>
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#include <helpers/TAD.h>
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#include <exceptions/cuda_exception.h>
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#include <PointersManager.h>
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#include <ConstantTadHelper.h>
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namespace nd4j {
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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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__global__ static void concatCuda(void* pVx, void* pxShapeInfo, void* vz, Nd4jLong* zShapeInfo, const int axis) {
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T* z = reinterpret_cast<T*>(vz);
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__shared__ Nd4jLong zLen, totalThreads, *sharedMem;
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__shared__ int rank;
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if (threadIdx.x == 0) {
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extern __shared__ unsigned char shmem[];
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sharedMem = reinterpret_cast<Nd4jLong*>(shmem);
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zLen = shape::length(zShapeInfo);
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rank = shape::rank(zShapeInfo);
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totalThreads = gridDim.x * blockDim.x;
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}
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__syncthreads();
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const auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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if(tid >= zLen)
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return;
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auto coords = sharedMem + threadIdx.x * rank;
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shape::index2coords(rank, zShapeInfo + 1, tid, zLen, coords);
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const auto zOffset = shape::getOffset(0, zShapeInfo + 1, zShapeInfo + rank + 1, coords, rank);
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int inArrIdx = 0;
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Nd4jLong *xShapeInfo = reinterpret_cast<Nd4jLong**>(pxShapeInfo)[inArrIdx];
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while(coords[axis] >= xShapeInfo[axis + 1]) {
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coords[axis] -= xShapeInfo[axis + 1];
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xShapeInfo = reinterpret_cast<Nd4jLong**>(pxShapeInfo)[++inArrIdx];
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}
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const auto* x = reinterpret_cast<T*>(reinterpret_cast<void**>(pVx)[inArrIdx]);
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const auto xOffset = shape::getOffset(0, xShapeInfo + 1, xShapeInfo + rank + 1, coords, rank);
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z[zOffset] = x[xOffset];
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}
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///////////////////////////////////////////////////////////////////
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template<typename T>
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__host__ static void concatCudaLauncher(const int blocksPerGrid, const int threadsPerBlock, const int sharedMem, const cudaStream_t *stream,
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void* pVx, void* pxShapeInfo, void* vz, Nd4jLong* zShapeInfo, const int axis) {
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concatCuda<T><<<blocksPerGrid, threadsPerBlock, sharedMem, *stream>>>(pVx, pxShapeInfo, vz, zShapeInfo, axis);
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}
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BUILD_SINGLE_TEMPLATE(template void concatCudaLauncher, (const int blocksPerGrid, const int threadsPerBlock, const int sharedMem, const cudaStream_t *stream, void* pVx, void* pxShapeInfo, void* vz, Nd4jLong* zShapeInfo, const int axis), LIBND4J_TYPES);
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//////////////////////////////////////////////////////////////////////////
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void concat(nd4j::LaunchContext * context, const std::vector<NDArray*>& inArrs, NDArray& output, const int axis) {
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const int threadsPerBlock = MAX_NUM_THREADS / 4;
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const int blocksPerGrid = (output.lengthOf() + threadsPerBlock - 1) / threadsPerBlock;
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const int sharedMem = threadsPerBlock * sizeof(Nd4jLong) * output.rankOf() + 128;
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const int numOfArrs = inArrs.size();
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for(int i = 0; i < numOfArrs; ++i)
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inArrs[i]->syncToDevice();
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output.syncToDevice();
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// prepare arrays of pointers on buffers and shapes
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std::vector<void*> hInBuffers(numOfArrs);
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std::vector<Nd4jLong*> hInShapeInfo(numOfArrs);
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for(int i = 0; i < numOfArrs; ++i) {
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hInBuffers[i] = inArrs[i]->getSpecialBuffer();
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hInShapeInfo[i] = inArrs[i]->getSpecialShapeInfo();
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}
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PointersManager manager(context, "helpers::concat");
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void* dInBuffers = manager.replicatePointer(hInBuffers.data(), hInBuffers.size() * sizeof(void*));
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void* dInShapeInfo = manager.replicatePointer(hInShapeInfo.data(), hInShapeInfo.size() * sizeof(Nd4jLong*));
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BUILD_SINGLE_SELECTOR(inArrs[0]->dataType(), concatCudaLauncher, (blocksPerGrid, threadsPerBlock, sharedMem, context->getCudaStream(), dInBuffers, dInShapeInfo, output.specialBuffer(), output.specialShapeInfo(), axis), LIBND4J_TYPES);
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manager.synchronize();
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for(int i = 0; i < numOfArrs; ++i)
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inArrs[i]->tickReadDevice();
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output.tickWriteDevice();
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}
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}
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}
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} |