133 lines
5.9 KiB
Plaintext
133 lines
5.9 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 scatterUpdateCuda(const int opCode, const int numOfInd,
|
|
void* vx, const Nd4jLong *xShapeInfo, const Nd4jLong *xOffsets,
|
|
void* vy, const Nd4jLong *yShapeInfo, const Nd4jLong *yOffsets,
|
|
const int* indexes) {
|
|
|
|
__shared__ T *x, *y;
|
|
__shared__ Nd4jLong arrLenX, arrLenY;
|
|
|
|
for (int e = 0; e < numOfInd; e++ ) {
|
|
|
|
const auto xIndex = indexes[e];
|
|
const bool isOwner = xIndex < gridDim.x ? blockIdx.x == xIndex : blockIdx.x == xIndex % gridDim.x;
|
|
|
|
if (!isOwner)
|
|
continue;
|
|
|
|
if (threadIdx.x == 0) {
|
|
x = reinterpret_cast<T*>(vx) + xOffsets[xIndex];
|
|
y = reinterpret_cast<T*>(vy) + yOffsets[e];
|
|
arrLenX = shape::length(xShapeInfo);
|
|
arrLenY = shape::length(yShapeInfo);
|
|
}
|
|
|
|
__syncthreads();
|
|
|
|
if (arrLenX != arrLenY)
|
|
return;
|
|
|
|
for (Nd4jLong i = threadIdx.x; i < arrLenX; i += blockDim.x) {
|
|
|
|
const auto xOffset = shape::getIndexOffset(i, xShapeInfo, arrLenX);
|
|
const auto yOffset = shape::getIndexOffset(i, yShapeInfo, arrLenY);
|
|
|
|
switch (opCode) {
|
|
case 0:
|
|
x[xOffset] += y[yOffset];
|
|
break;
|
|
case 1:
|
|
x[xOffset] -= y[yOffset];
|
|
break;
|
|
case 2:
|
|
x[xOffset] *= y[yOffset];
|
|
break;
|
|
case 3:
|
|
x[xOffset] /= y[yOffset];
|
|
break;
|
|
case 4:
|
|
x[xOffset] = y[yOffset] - x[xOffset];
|
|
break;
|
|
case 5:
|
|
x[xOffset] = y[yOffset] / x[xOffset];
|
|
break;
|
|
case 6:
|
|
x[xOffset] = y[yOffset];
|
|
break;
|
|
default:
|
|
continue;
|
|
}
|
|
}
|
|
__syncthreads();
|
|
}
|
|
}
|
|
|
|
template<typename T>
|
|
__host__ static void scatterUpdateCudaLauncher(const cudaStream_t* stream, const int opCode, const int numOfInd, void* vx, const Nd4jLong *xShapeInfo, const Nd4jLong *xOffsets, void* vy, const Nd4jLong *yShapeInfo, const Nd4jLong *yOffsets, const int* indexes) {
|
|
|
|
scatterUpdateCuda<T><<<512, 256, MAX_NUM_THREADS, *stream>>>(opCode, numOfInd, vx, xShapeInfo, xOffsets, vy, yShapeInfo, yOffsets, indexes);
|
|
}
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////////
|
|
void scatterUpdate(nd4j::LaunchContext* context, NDArray& input, NDArray& updates, const std::vector<int>* intArgs) {
|
|
|
|
const int opCode = (*intArgs)[0];
|
|
const int numOfDims = (*intArgs)[1];
|
|
const int numOfInd = (*intArgs)[2 + numOfDims];
|
|
|
|
std::vector<int> tadDimensions(numOfDims);
|
|
for (int e = 2; e < 2 + numOfDims; e++)
|
|
tadDimensions[e-2] = (*intArgs)[e];
|
|
|
|
auto packX = ConstantTadHelper::getInstance()->tadForDimensions(input.getShapeInfo(), tadDimensions);
|
|
auto packY = ConstantTadHelper::getInstance()->tadForDimensions(updates.getShapeInfo(), tadDimensions);
|
|
|
|
NDArray indices(const_cast<int*>(intArgs->data()) + numOfDims + 3, 'c', {numOfInd}, nd4j::DataType::INT32, context);
|
|
|
|
PointersManager manager(context, "scatterUpdate");
|
|
|
|
NDArray::prepareSpecialUse({&input}, {&input, &updates, &indices});
|
|
BUILD_SINGLE_SELECTOR(input.dataType(), scatterUpdateCudaLauncher, (context->getCudaStream(), opCode, numOfInd, input.specialBuffer(), packX.platformShapeInfo(), packX.platformOffsets(), updates.specialBuffer(), packY.platformShapeInfo(), packY.platformOffsets(), reinterpret_cast<int*>(indices.getSpecialBuffer())), LIBND4J_TYPES);
|
|
NDArray::registerSpecialUse({&input}, {&input, &updates, &indices});
|
|
|
|
manager.synchronize();
|
|
}
|
|
}
|
|
}
|
|
} |