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/*
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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
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.reduce3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.autodiff.util.SameDiffUtils;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import java.util.Arrays;
import java.util.List;
public class ManhattanDistance extends BaseReduce3Op {
public static final String OP_NAME = "manhattan";
public ManhattanDistance(SameDiff sameDiff, SDVariable i_v, int[] dimensions) {
super(sameDiff, i_v, dimensions);
}
public ManhattanDistance(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int... dimensions) {
super(sameDiff, i_v, i_v2, dimensions);
}
public ManhattanDistance() {}
public ManhattanDistance(INDArray x, INDArray y, int... dimensions) {
this(x, y, false, dimensions);
}
public ManhattanDistance(INDArray x, INDArray y, boolean allDistances, int... dimensions) {
this(x, y, null, false, allDistances, dimensions);
this.isComplex = allDistances;
}
public ManhattanDistance(INDArray x, INDArray y, INDArray z) {
this(x, y, z, false, null);
}
public ManhattanDistance(INDArray x, INDArray y, INDArray z, boolean allDistances, int... dimensions) {
this(x, y, z, false, allDistances, dimensions);
}
public ManhattanDistance(INDArray x, INDArray y, INDArray z, boolean keepDims, boolean allDistances, int... dimensions){
super(x, y, z, keepDims, allDistances, dimensions);
extraArgs = new Object[]{0.0f, 0.0f};
}
@Override
public int opNum() {
return 0;
}
@Override
public String opName() {
return OP_NAME;
}
@Override
public List doDiff(List i_v1) {
//ddist(x,y)/dxi = sign(xi-yi)
SDVariable difference = larg().sub(rarg());
SDVariable gradBroadcastable;
if(keepDims || dimensions == null || dimensions.length == 0 || (dimensions.length == 1 && dimensions[0] == Integer.MAX_VALUE)){
//keepDims or full array reduction
gradBroadcastable = i_v1.get(0);
} else {
gradBroadcastable = SameDiffUtils.reductionBroadcastableWithOrigShape(arg(), sameDiff.constant(Nd4j.createFromArray(dimensions)), i_v1.get(0));
}
SDVariable gradX = sameDiff.math().sign(difference).mul(gradBroadcastable);
SDVariable gradY = sameDiff.math().neg(gradX);
return Arrays.asList(gradX, gradY);
}
}