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