wehub-resource-sync
106 lines
4.6 KiB
C++
106 lines
4.6 KiB
C++
/* ******************************************************************************
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*
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author sgazeos@gmail.com
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//
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#include <execution/Threads.h>
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#include <ops/declarable/helpers/axis.h>
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#if NOT_EXCLUDED(OP_extract_patches)
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namespace sd {
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namespace ops {
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namespace helpers {
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template <typename T>
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static void _extractPatches(NDArray* images, NDArray* output, int sizeRow, int sizeCol, int strideRow, int strideCol,
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int rateRow, int rateCol, bool theSame) {
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std::vector<sd::LongType> restDims({1, 2, 3}); // the first and the last dims
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ResultSet listOfMatricies = images->allTensorsAlongDimension(restDims);
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ResultSet listOfOutputs = output->allTensorsAlongDimension(restDims);
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// 3D matricies - 2D matricies of vectors (if last dim is greater than 1)
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// int e = 0;
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const int ksizeRowsEffective = sizeRow + (sizeRow - 1) * (rateRow - 1);
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const int ksizeColsEffective = sizeCol + (sizeCol - 1) * (rateCol - 1);
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const int ksize = ksizeRowsEffective * ksizeColsEffective;
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int batchCount = listOfMatricies.size(); // lengthOf() / ksize;
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sd::LongType lastDim = images->sizeAt(3);
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sd::LongType outLastDim = output->sizeAt(3);
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sd::LongType rowDim = images->sizeAt(1);
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sd::LongType colDim = images->sizeAt(2);
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sd::LongType outRowDim = output->sizeAt(1);
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sd::LongType outColDim = output->sizeAt(2);
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auto rowCast = 1; //(sizeRow - 1)*rateRow < outRowDim/sizeRow ?0:1;///(ksize * lastDim > rowDim * ksizeColsEffective
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//+ lastDim?1:0);
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auto colCast = 1; // colDim / ksizeColsEffective +2 <= sizeCol?0:1;//(ksize * lastDim > ksizeRowsEffective * colDim +
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// lastDim?1:0);
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if (sizeRow * rateRow < 3) rowCast = 0;
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if (sizeCol * rateCol < 3) colCast = 0;
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auto func = PRAGMA_THREADS_FOR {
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for (auto batch = 0; batch < stop; batch++) {
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auto patch = listOfMatricies.at(batch);
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auto outMatrix = listOfOutputs.at(batch);
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for (sd::LongType i = 0; i < outRowDim; i++) {
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for (sd::LongType j = 0; j < outColDim; j++) {
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sd::LongType pos = 0;
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// for (sd::LongType k = 0; k < outputLastDim; k++) {
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auto rowStart = i * strideRow - (theSame ? rowCast : 0);
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auto colStart = j * strideCol - (theSame ? colCast : 0);
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auto rowEnd = rowStart + sizeRow * rateRow;
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auto colEnd = colStart + sizeCol * rateCol;
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if (!theSame) {
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rowEnd = math::sd_min(rowStart + sizeRow * rateRow, rowDim);
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colEnd = math::sd_min(colStart + sizeCol * rateCol, colDim);
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}
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// auto pixel = 0LL;
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for (auto row = rowStart; row < rowEnd; row += rateRow)
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for (auto col = colStart; col < colEnd; col += rateCol)
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for (auto pixel = 0; pixel < lastDim; pixel++) {
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bool setUp = (theSame && row >= 0 && col >= 0 && row < rowDim && col < colDim) || (!theSame);
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if (setUp) {
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outMatrix->r<T>(i, j, pos) = patch->e<T>(row, col, pixel);
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}
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pos++;
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}
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}
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}
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}
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};
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samediff::Threads::parallel_tad(func, 0, batchCount);
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}
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void extractPatches(sd::LaunchContext* context, NDArray* images, NDArray* output, int sizeRow, int sizeCol,
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int stradeRow, int stradeCol, int rateRow, int rateCol, bool theSame) {
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auto xType = images->dataType();
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BUILD_SINGLE_SELECTOR(xType, _extractPatches,
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(images, output, sizeRow, sizeCol, stradeRow, stradeCol, rateRow, rateCol, theSame),
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SD_NUMERIC_TYPES);
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}
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BUILD_SINGLE_TEMPLATE( void _extractPatches,
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(NDArray * input, NDArray* output, int sizeRow, int sizeCol, int stradeRow, int stradeCol,
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int rateRow, int rateCol, bool theSame),
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SD_NUMERIC_TYPES);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif |