org.deeplearning4j.nn.conf.constraint.BaseConstraint 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.deeplearning4j.nn.conf.constraint;
import lombok.*;
import org.apache.commons.lang3.ArrayUtils;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.api.ParamInitializer;
import org.deeplearning4j.nn.api.layers.LayerConstraint;
import org.nd4j.linalg.api.ndarray.INDArray;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
@AllArgsConstructor
@EqualsAndHashCode
@Data
public abstract class BaseConstraint implements LayerConstraint {
public static final double DEFAULT_EPSILON = 1e-6;
@Setter
@Getter
protected Set params = new HashSet<>();
protected double epsilon = 1e-6;
protected int[] dimensions;
protected BaseConstraint(){
//No arg for json ser/de
}
protected BaseConstraint(Set paramNames, int... dimensions){
this(paramNames, DEFAULT_EPSILON, dimensions);
}
@Override
public void applyConstraint(Layer layer, int iteration, int epoch) {
Map paramTable = layer.paramTable();
if(paramTable == null || paramTable.isEmpty() ){
return;
}
ParamInitializer i = layer.conf().getLayer().initializer();
for(Map.Entry e : paramTable.entrySet()){
if(params.contains(e.getKey())){
apply(e.getValue());
}
if (params != null && params.contains(e.getKey())) {
apply(e.getValue());
}
}
}
public abstract void apply(INDArray param);
public abstract BaseConstraint clone();
public static int[] getBroadcastDims(int[] reduceDimensions, int rank){
int[] out = new int[rank-reduceDimensions.length];
int outPos = 0;
for( int i=0; i