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/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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 sd {
template <typename T>
SD_DEVICE void fillDimensionalIsMax(
const void* vdX,
void* vdZ,
const LongType* zShapeInfo,
const LongType* tadOnlyShapeInfo,
LongType* dimension,
LongType dimensionLength,
const LongType* tadOffsets) {
const auto dX = reinterpret_cast<const LongType*>(vdX);
auto dZ = reinterpret_cast<T*>(vdZ);
__shared__ int tadLen;
__shared__ int numTads;
__shared__ int tadRank;
__shared__ const sd::LongType* tadShapePtr;
__shared__ const sd::LongType* tadStridePtr;
__shared__ int zRank;
__shared__ const sd::LongType* zShapePtr;
__shared__ const sd::LongType* zStridePtr;
if (threadIdx.x == 0) {
tadLen = static_cast<int>(shape::length(tadOnlyShapeInfo));
numTads = static_cast<int>(shape::length(zShapeInfo) / tadLen);
tadRank = shape::rank(tadOnlyShapeInfo);
tadShapePtr = shape::shapeOf(tadOnlyShapeInfo);
tadStridePtr= shape::stride(tadOnlyShapeInfo);
zRank = shape::rank(zShapeInfo);
zShapePtr = shape::shapeOf(zShapeInfo);
zStridePtr = shape::stride(zShapeInfo);
}
__syncthreads();
// each block handles some portion of the TADs
for (int r = blockIdx.x; r < numTads; r += gridDim.x) {
const auto tadOffsetForBlock = tadOffsets[r];
const auto highestElement = dX[r]; // this is presumably the index in [0..tadLen)
// Each thread does part of the tad's length
// dimensionLength determines if we have multiple dims, but code is the same
for (LongType e = threadIdx.x; e < tadLen; e += blockDim.x) {
sd::LongType coords[SD_MAX_RANK];
sd::LongType offset;
INDEX2COORDS(e, tadRank, tadShapePtr, coords);
COORDS2INDEX(tadRank, tadStridePtr, coords, offset);
const auto finalOffset = tadOffsetForBlock + offset;
dZ[finalOffset] = (e == highestElement ? static_cast<T>(1) : static_cast<T>(0));
}
}
}
template <typename T>
SD_KERNEL void execfillDimensionalIsMax(
const void* dX,
void* dZ,
const LongType* zShapeInfo,
const LongType* tadOnlyShapeInfo,
LongType* dimension,
LongType dimensionLength,
const LongType* tadOffsets) {
fillDimensionalIsMax<T>(
dX, dZ, zShapeInfo, tadOnlyShapeInfo,
dimension, dimensionLength, tadOffsets);
}
template <typename T>
SD_HOST void fillDimensionalIsMaxGeneric(
dim3& launchDims,
cudaStream_t* stream,
const void* dX,
void* dZ,
const LongType* zShapeInfo,
const LongType* tadOnlyShapeInfo,
LongType* dimension,
LongType dimensionLength,
const LongType* tadOffsets) {
execfillDimensionalIsMax<T>
<<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(
dX, dZ, zShapeInfo, tadOnlyShapeInfo,
dimension, dimensionLength, tadOffsets);
DebugHelper::checkErrorCode(stream, "fillDimensionalIsMax(...) failed");
}
BUILD_SINGLE_TEMPLATE(
template void fillDimensionalIsMaxGeneric,
(dim3 & launchDims,
cudaStream_t *stream,
const void* dX,
void* dZ,
const sd::LongType* zShapeInfo,
const sd::LongType* tadOnlyShapeInfo,
sd::LongType* dimension,
sd::LongType dimensionLength,
const sd::LongType* tadOffsets),
SD_COMMON_TYPES);
} // namespace sd