/******************************************************************************* * 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 // @brief helpers fuctions for segment_* ops (segment_max, segment_min, etc.) // @brief helpers fuctions for unsorted_segment_* ops (unsorted_segment_max, etc.) // #ifndef __SEGMENT_HELPERS__ #define __SEGMENT_HELPERS__ #include #include namespace sd { namespace ops { namespace helpers { bool segmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, NDArray& expected, NDArray& output); bool unsortedSegmentIndicesValidate(sd::LaunchContext * context, NDArray* indices, Nd4jLong numOfClasses, Nd4jLong& output); void segmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output); void segmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output); void segmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output); void segmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output); void segmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* output); void unsortedSegmentSqrtNFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); void unsortedSegmentMaxFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); void unsortedSegmentMinFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); void unsortedSegmentMeanFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); void unsortedSegmentSumFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); void unsortedSegmentProdFunctor(sd::LaunchContext * context, NDArray* input, NDArray* indices, Nd4jLong numOfClasses, NDArray* output); int segmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output); int segmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output); int segmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output); int segmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output); int segmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, NDArray* output); int unsortedSegmentSqrtNFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); int unsortedSegmentMaxFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); int unsortedSegmentMinFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); int unsortedSegmentMeanFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); int unsortedSegmentSumFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); int unsortedSegmentProdFunctorBP(sd::LaunchContext * context, NDArray* input, NDArray* indices, NDArray* gradOut, Nd4jLong numOfClasses, NDArray* output); } } } #endif