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

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/*******************************************************************************
* 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 pullRowsKernel(void *vx,
void *vz,
Nd4jLong len,
Nd4jLong *indexes,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *zTadShapeInfo, Nd4jLong *zTadOffsets) {
auto x = reinterpret_cast<T *>(vx);
auto z = reinterpret_cast<T *>(vz);
auto xEWS = shape::elementWiseStride(tadShapeInfo);
auto zEWS = shape::elementWiseStride(zTadShapeInfo);
auto tadLength = shape::length(tadShapeInfo);
if (xEWS >= 1 && zEWS >= 1) {
for (int idx = blockIdx.x; idx < len; idx += gridDim.x) {
T *rX = x + tadOffsets[indexes[idx]];
T *rZ = z + zTadOffsets[idx];
for (int i = threadIdx.x; i < tadLength; i += blockDim.x) {
rZ[i * zEWS] = rX[i * xEWS];
}
}
} else {
for (int idx = blockIdx.x; idx < len; idx += gridDim.x) {
T *rX = x + tadOffsets[indexes[idx]];
T *rZ = z + zTadOffsets[idx];
for (int i = threadIdx.x; i < tadLength; i += blockDim.x) {
auto xOffset = shape::getIndexOffset(i, tadShapeInfo);
auto zOffset = shape::getIndexOffset(i, zTadShapeInfo);
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rZ[zOffset] = rX[xOffset];
}
}
}
}
///////////////////////////////////////////////////////////////////////
template<typename T>
__global__ void execPullRowsKernel(void *vx,
void *vz,
Nd4jLong len,
Nd4jLong *indexes,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *zTadShapeInfo, Nd4jLong *zTadOffsets) {
pullRowsKernel<T>(vx, vz, len, indexes, tadShapeInfo, tadOffsets, zTadShapeInfo, zTadOffsets);
}
///////////////////////////////////////////////////////////////////////
template<typename T>
__host__ void pullRowsKernelGeneric(dim3 &launchDims, cudaStream_t *stream,
void *vx,
void *vz,
Nd4jLong len,
Nd4jLong *indexes,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *zTadShapeInfo, Nd4jLong *zTadOffsets) {
execPullRowsKernel<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(vx, vz, len, indexes, tadShapeInfo, tadOffsets, zTadShapeInfo, zTadOffsets);
nd4j::DebugHelper::checkErrorCode(stream, "pullRows(...) failed");
}
BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT pullRowsKernelGeneric, (dim3 & launchDims, cudaStream_t * stream, void * vx, void * vz, Nd4jLong len, Nd4jLong * indexes, Nd4jLong * tadShapeInfo, Nd4jLong * tadOffsets, Nd4jLong *zTadShapeInfo, Nd4jLong * zTadOffsets), LIBND4J_TYPES);
}