cavis/libnd4j/include/ops/declarable/helpers/cuda/matrix_band.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 George A. Shulinok <sgazeos@gmail.com>
//
#include <ops/declarable/helpers/matrix_band.h>
#include <TAD.h>
#include <cuda_exception.h>
#include <ShapeUtils.h>
#include <helpers/ConstantTadHelper.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static __global__ void matrixBandKernel(void* inputBuffer, Nd4jLong* inputShape,
void* outputBuffer, Nd4jLong* outputShape, Nd4jLong lowerBand, Nd4jLong upperBand, Nd4jLong* tadOnlyInputShapeInfo, Nd4jLong* tadInputOffsets,
Nd4jLong* tadOnlyOutputShapeInfo, Nd4jLong* tadOutputOffsets, Nd4jLong numTads, Nd4jLong inputLength) {
int totalThreads = blockDim.x;
Nd4jLong rows = shape::sizeAt(inputShape, -2);
Nd4jLong cols = shape::sizeAt(inputShape, -1);
for (Nd4jLong e = blockIdx.x; e < numTads; e += gridDim.x) {
auto yOffset = tadInputOffsets[e];
auto xOffset = tadOutputOffsets[e];
for (Nd4jLong i = blockIdx.y; i < rows; i += gridDim.y) {
for (Nd4jLong j = threadIdx.x; j < cols; j += totalThreads) {
Nd4jLong coords[2] = {i, j};
Nd4jLong tadOffsetOut = shape::getOffset(0, shape::shapeOf(tadOnlyOutputShapeInfo),
shape::stride(tadOnlyOutputShapeInfo), coords, 2);
Nd4jLong tadOffsetIn = shape::getOffset(0, shape::shapeOf(tadOnlyInputShapeInfo),
shape::stride(tadOnlyInputShapeInfo), coords, 2);
//shape::getIndexOffset(j, tadOnlyOutputShapeInfo, inputLength)
if (i >= j) { // check lower diagonals
if (lowerBand > 0) {
if ((i - j) > lowerBand)
*(reinterpret_cast<T *>(outputBuffer) + xOffset + tadOffsetOut) = T(0);
else
*(reinterpret_cast<T *>(outputBuffer) + xOffset + tadOffsetOut) = *(
reinterpret_cast<T const *>(inputBuffer) + yOffset + tadOffsetIn);
}
} else if (j > i) {
if (upperBand > 0)
if ((j - i) > upperBand)
*(reinterpret_cast<T *>(outputBuffer) + xOffset + tadOffsetOut) = T(0);
else
*(reinterpret_cast<T *>(outputBuffer) + xOffset + tadOffsetOut) = *(
reinterpret_cast<T const *>(inputBuffer) + yOffset + tadOffsetIn);
}
// if ((i >= j) && (i - j) <= lowerBand && (j - i) <= upperBand) // with in band
// *(reinterpret_cast<T*>(outputBuffer) + xOffset + tadOffsetOut) = *(reinterpret_cast<T const*>(inputBuffer) + yOffset + tadOffsetIn);
//else
// *(reinterpret_cast<T*>(outputBuffer) + xOffset + tadOffsetOut) = T(0);
}
}
}
}
template <typename T>
void matrixBandPart_(nd4j::LaunchContext * context, NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand) {
dim3 launchDims(256, 512, 8192);
auto stream = context->getCudaStream();
std::vector<int> lastDims({input->rankOf() - 2, input->rankOf() - 1});
std::vector<int> dimsToExclude = ShapeUtils::evalDimsToExclude(input->rankOf(), lastDims);
auto packX = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(input->getShapeInfo(), lastDims);
auto packZ = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(output->getShapeInfo(), lastDims);
const Nd4jLong numTads = packX.numberOfTads();
if (!input->isActualOnDeviceSide())
input->syncToDevice();
if (!input->isActualOnDeviceSide())
input->syncToDevice();
matrixBandKernel<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(input->getSpecialBuffer(),
input->getSpecialShapeInfo(), output->getSpecialBuffer(), output->getSpecialShapeInfo(),
lowerBand, upperBand, packX.specialShapeInfo(), packX.specialOffsets(), packZ.specialShapeInfo(), packZ.specialOffsets(), numTads, input->lengthOf());
}
void matrixBandPart(nd4j::LaunchContext * context, NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand) {
BUILD_SINGLE_SELECTOR(input->dataType(), matrixBandPart_, (context, input, output, lowerBand, upperBand), FLOAT_TYPES);
}
BUILD_SINGLE_TEMPLATE(template void matrixBandPart_, (nd4j::LaunchContext * context, NDArray* input, NDArray* output, Nd4jLong lowerBand, Nd4jLong upperBand), FLOAT_TYPES);
}
}
}