98 lines
4.4 KiB
Plaintext
98 lines
4.4 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 sgazeos@gmail.com
|
|
//
|
|
|
|
#include <ops/declarable/helpers/nth_element.h>
|
|
#include <TAD.h>
|
|
#include <ShapeUtils.h>
|
|
#include <PointersManager.h>
|
|
#include <NativeOps.h>
|
|
#include <helpers/ConstantTadHelper.h>
|
|
|
|
namespace nd4j {
|
|
namespace ops {
|
|
namespace helpers {
|
|
|
|
template <typename T>
|
|
static __global__ void fillUpElementKernel(void* outputBuffer, Nd4jLong* outputShapeInfo, void* inputBuffer, Nd4jLong* inputShapeInfo, Nd4jLong* pTadShape, Nd4jLong* pTadOffsets, Nd4jLong n) {
|
|
__shared__ T *z, *x;
|
|
__shared__ Nd4jLong bufferLength, arrLen;
|
|
|
|
if (threadIdx.x == 0) {
|
|
z = reinterpret_cast<T*>(outputBuffer);
|
|
x = reinterpret_cast<T*>(inputBuffer);
|
|
arrLen = shape::length(pTadShape);
|
|
bufferLength = shape::length(outputShapeInfo);
|
|
}
|
|
__syncthreads();
|
|
|
|
const auto tid = blockIdx.x * gridDim.x + threadIdx.x;
|
|
const auto step = gridDim.x * blockDim.x;
|
|
for (int t = tid; t < bufferLength; t += step) {
|
|
auto tX = x + pTadOffsets[t];
|
|
z[shape::getIndexOffset(t, outputShapeInfo, bufferLength)] = tX[shape::getIndexOffset(n, pTadShape, arrLen)]; //tX];
|
|
}
|
|
}
|
|
|
|
template <typename T>
|
|
void nthElementFunctor_(nd4j::LaunchContext * context, NDArray* input, Nd4jLong n, NDArray* output, bool reverse) {
|
|
|
|
NDArray::prepareSpecialUse({output}, {input});
|
|
NDArray sortedVals(*input);
|
|
Nd4jPointer params[2];
|
|
params[0] = context;
|
|
params[1] = context->getCudaStream();
|
|
|
|
if (input->isVector()) {
|
|
NativeOps ops;
|
|
ops.sort(params, nullptr, sortedVals.shapeInfo(), sortedVals.specialBuffer(), sortedVals.specialShapeInfo(), reverse);
|
|
|
|
cudaMemcpy(reinterpret_cast<T*>(output->specialBuffer()), reinterpret_cast<T*>(sortedVals.specialBuffer()) + n, sizeof(T), cudaMemcpyDeviceToDevice);
|
|
}
|
|
else { // rank greater than 1
|
|
std::vector<int> lastDims({input->rankOf() - 1});// = ShapeUtils::evalDimsToExclude(input->rankOf(), {input->rankOf() - 1});
|
|
|
|
auto packX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(sortedVals.getShapeInfo(), lastDims);
|
|
|
|
auto pTadShape = packX.specialShapeInfo();
|
|
auto pTadShapeH = packX.primaryShapeInfo();
|
|
auto pTadOffsets = packX.specialOffsets();
|
|
// auto pLastDimData = (int*) manager.replicatePointer(lastDims.data(), lastDims.size() * sizeof(int));
|
|
NativeOps ops;
|
|
ops.sortTad(params, sortedVals.buffer(), sortedVals.shapeInfo(), sortedVals.specialBuffer(), sortedVals.specialShapeInfo(), lastDims.data(), lastDims.size(), pTadShape, pTadOffsets, reverse);
|
|
// manager.synchronize();
|
|
sortedVals.tickWriteDevice();
|
|
sortedVals.syncToHost();
|
|
sortedVals.printIndexedBuffer("Hello");
|
|
sortedVals.printBuffer("Hello line");
|
|
auto stream = context->getCudaStream();
|
|
fillUpElementKernel<T><<<32, 64, 1024, *stream>>>(output->specialBuffer(), output->specialShapeInfo(), sortedVals.specialBuffer(), sortedVals.specialShapeInfo(), pTadShape, pTadOffsets, n);
|
|
}
|
|
NDArray::registerSpecialUse({output}, {input});
|
|
}
|
|
void nthElementFunctor(nd4j::LaunchContext * context, NDArray* input, Nd4jLong n, NDArray* output, bool reverse) {
|
|
BUILD_SINGLE_SELECTOR(input->dataType(), nthElementFunctor_, (context, input, n, output, reverse), LIBND4J_TYPES);
|
|
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template void nthElementFunctor_, (nd4j::LaunchContext * context, NDArray* input, Nd4jLong n, NDArray* output, bool reverse), LIBND4J_TYPES);
|
|
|
|
}
|
|
}
|
|
}
|