org.deeplearning4j.arbiter.conf.updater.BaseUpdaterSpace 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.arbiter.conf.updater;
import lombok.Data;
import lombok.Getter;
import lombok.Setter;
import org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace;
import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
import org.nd4j.linalg.learning.config.IUpdater;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
@Data
public abstract class BaseUpdaterSpace extends AbstractParameterSpace {
@Override
public int numParameters() {
int count = 0;
for(ParameterSpace p : collectLeaves()){
count += p.numParameters();
}
return count;
}
@Override
public List collectLeaves() {
Map nested = getNestedSpaces();
List out = new ArrayList<>();
for(ParameterSpace p : nested.values()){
out.addAll(p.collectLeaves());
}
return out;
}
@Override
public boolean isLeaf() {
return false;
}
@Override
public void setIndices(int... indices){
int soFar = 0;
for(ParameterSpace p : collectLeaves()){
int numParams = p.numParameters();
if(numParams <= 0){
continue;
}
int[] subset = Arrays.copyOfRange(indices, soFar, soFar + numParams);
p.setIndices(subset);
}
}
}