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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.
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* * information regarding copyright ownership.
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.reduce.floating;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseReduceFloatOp;
import org.nd4j.linalg.api.ops.impl.reduce.bp.Norm2Bp;
import org.nd4j.linalg.ops.transforms.Transforms;
import java.util.List;
public class Norm2 extends BaseReduceFloatOp {
public Norm2(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions) {
super(sameDiff, i_v, dimensions, keepDims);
}
public Norm2(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions) {
super(sameDiff, i_v, i_v2, dimensions);
}
public Norm2(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims) {
super(sameDiff, input, dimensions, keepDims);
}
public Norm2(SameDiff sameDiff, SDVariable input, int... dimensions) {
super(sameDiff, input, dimensions);
}
public Norm2(SameDiff sameDiff, SDVariable i_v, boolean keepDims, SDVariable dimensions) {
super(sameDiff, i_v, keepDims, dimensions);
}
public Norm2(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions) {
super(sameDiff, i_v, i_v2, dimensions);
}
public Norm2(SameDiff sameDiff, SDVariable input, SDVariable dimensions, boolean keepDims) {
super(sameDiff, input, dimensions, keepDims);
}
public Norm2(SameDiff sameDiff, SDVariable input, SDVariable dimensions) {
super(sameDiff, input, dimensions);
}
public Norm2(INDArray input, INDArray output, boolean keepDims, int... dimensions) {
super(input, output, keepDims, dimensions);
}
public Norm2(INDArray x, INDArray y, INDArray z, int... dimensions) {
super(x, y, z, dimensions);
}
public Norm2() {
}
public Norm2(INDArray x, INDArray z, int... dimensions) {
super(x, null, z, dimensions);
}
public Norm2(INDArray x, int... dimensions) {
super(x, dimensions);
}
public Norm2(INDArray x, boolean keepDims, int... dimensions) {
super(x, keepDims, dimensions);
}
public Norm2(INDArray in, INDArray indArray, boolean keepDims) {
super(in,null,keepDims);
}
public Norm2(INDArray x, INDArray y, INDArray z, boolean keepDims, int... dimensions) {
super(x, y, z, keepDims, dimensions);
}
public Norm2(INDArray in, int[] dimensions, boolean keepDims) {
super(in,keepDims,dimensions);
}
@Override
public INDArray noOp() {
return Transforms.abs(x());
}
@Override
public int opNum() {
return 3;
}
@Override
public String opName() {
return "reduce_norm2";
}
@Override
public List doDiff(List grad) {
//d norm2(in)/dx = x / norm2(in)
return new Norm2Bp(sameDiff, arg(), grad.get(0), keepDims, dimensions).outputs();
}
@Override
public String onnxName() {
return "Norm";
}
}