cavis/libnd4j/include/loops/cuda/specials/concatKernelVStack.cu

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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 raver119@gmail.com
// @author Yurii Shyrma, created on 15.11.2018
//
#include <loops/special_kernels.h>
namespace nd4j {
///////////////////////////////////////////////////////////////////////
template<typename T>
__device__ void concatKernelVStack(int numArrays,
Nd4jPointer *data, Nd4jPointer *inputShapeInfos,
void *vz, Nd4jLong *zShapeInfo) {
/*
this is special case for concat: we group bunch of vectors into 2D matrix
also: we expect each inputShapeInfo to have EWS, be a vector, and have equal size
*/
auto z = static_cast<T *>(vz);
auto inputShapes = (Nd4jLong **) inputShapeInfos;
T **input = (T **) data;
__shared__ int inputEWS;
__shared__ int resultEWS;
__shared__ int inputLength;
if (threadIdx.x == 0) {
inputLength = shape::length(inputShapes[0]);
inputEWS = shape::elementWiseStride(inputShapes[0]);
resultEWS = shape::elementWiseStride(zShapeInfo);
}
__syncthreads();
for (int r = blockIdx.x; r < numArrays; r += gridDim.x) {
int zOffset = r * inputLength * resultEWS;
T *inputData = (T *) input[r];
for (int i = threadIdx.x; i < inputLength; i += blockDim.x) {
z[zOffset + i * resultEWS] = inputData[i * inputEWS];
}
}
}
///////////////////////////////////////////////////////////////////////
template<typename T>
__global__ void execConcatKernelVStack(int numArrays,
Nd4jPointer *data, Nd4jPointer *inputShapeInfos,
void *vz, Nd4jLong *zShapeInfo) {
concatKernelVStack<T>(numArrays, data, inputShapeInfos, vz, zShapeInfo);
}
///////////////////////////////////////////////////////////////////////
template<typename T>
__host__ void concatKernelVStackGeneric(dim3 &launchDims, cudaStream_t *stream,
int numArrays,
Nd4jPointer *data, Nd4jPointer *inputShapeInfos,
void *vz, Nd4jLong *zShapeInfo) {
execConcatKernelVStack<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(numArrays, data, inputShapeInfos, vz, zShapeInfo);
nd4j::DebugHelper::checkErrorCode(stream, "concatVStack(...) failed");
}
BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT concatKernelVStackGeneric, (dim3 & launchDims, cudaStream_t * stream, int numArrays, Nd4jPointer * data, Nd4jPointer * inputShapeInfos, void * vz, Nd4jLong *zShapeInfo), LIBND4J_TYPES);
}