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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/helpers/BarnesHutTsne.h
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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 George A. Shulinok <sgazeos@gmail.com>, created on 4/18/2019
//
#ifndef LIBND4J_BARNES_HUT_TSNE_HELPERS_H
#define LIBND4J_BARNES_HUT_TSNE_HELPERS_H
#include <ops/declarable/helpers/helpers.h>
namespace sd {
namespace ops {
namespace helpers {
SD_LIB_HIDDEN LongType barnes_row_count(NDArray* rowP, NDArray* colP, LongType N,
NDArray& rowCounts);
SD_LIB_HIDDEN void barnes_symmetrize(NDArray* rowP, NDArray* colP, NDArray* valP, LongType N,
NDArray* outputRows, NDArray* outputCols, NDArray* outputVals,
NDArray* rowCounts = nullptr);
SD_LIB_HIDDEN void barnes_edge_forces(NDArray* rowP, NDArray * colP, NDArray * valP, int N,
NDArray* output, NDArray& data);
SD_LIB_HIDDEN void barnes_gains(NDArray* input, NDArray* gradX, NDArray* epsilon, NDArray* output);
SD_LIB_HIDDEN bool cell_contains(NDArray* corner, NDArray* width, NDArray* point, LongType dimension);
} // namespace helpers
} // namespace ops
} // namespace sd
#endif // LIBND4J_ACTIVATIONS_H