org.nd4j.linalg.api.ops.impl.accum.SquaredNorm 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.accum;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import java.util.Collections;
import java.util.List;
/**
* Squared norm (sum_i x_i^2) reduction operation
*
* @author Alex Black
*/
public class SquaredNorm extends BaseReduction {
public SquaredNorm(SameDiff sameDiff, SDVariable input, boolean keepDims, int... dimensions) {
super(sameDiff, input, keepDims, dimensions);
}
public SquaredNorm(INDArray input, INDArray output, boolean keepDims, int... dimensions){
super(input, output, keepDims, dimensions);
}
public SquaredNorm(){}
@Override
public String opName() {
return "reduce_sqnorm";
}
@Override
public List doDiff(List grad){
return Collections.singletonList(f().squaredNormBp(arg(), grad.get(0), keepDims, dimensions));
}
}