org.nd4j.linalg.api.ops.impl.transforms.segment.UnsortedSegmentMean Maven / Gradle / Ivy
/*******************************************************************************
* 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
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.transforms.segment;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import java.util.Arrays;
import java.util.List;
/**
* Unsorted segment mean operation
*
* @author Alex Black
*/
public class UnsortedSegmentMean extends DynamicCustomOp {
private int numSegments;
public UnsortedSegmentMean(SameDiff sameDiff, SDVariable data, SDVariable segmentIds, int numSegments) {
super(null, sameDiff, new SDVariable[] {data, segmentIds}, false);
this.numSegments = numSegments;
addIArgument(numSegments);
}
public UnsortedSegmentMean(){ }
@Override
public String opName(){
return "unsorted_segment_mean";
}
@Override
public String tensorflowName() {
return "UnsortedSegmentMean";
}
@Override
public void resolvePropertiesFromSameDiffBeforeExecution() {
if(args().length == 3 && iArguments == null || iArguments.size() == 0){
addIArgument(arg(2).getArr().getInt(0));
}
super.resolvePropertiesFromSameDiffBeforeExecution();
}
@Override
public List doDiff(List gradients){
return Arrays.asList(f().unsortedSegmentMeanBp(arg(0), arg(1), gradients.get(0), numSegments));
}
}