org.nd4j.linalg.learning.NoOpUpdater 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.learning;
import lombok.Data;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.learning.config.NoOp;
import java.util.Collections;
import java.util.Map;
/**
* NoOp updater: gradient updater that makes no changes to the gradient
*
* @author Alex Black
*/
@Data
public class NoOpUpdater implements GradientUpdater {
private final NoOp config;
public NoOpUpdater(NoOp config) {
this.config = config;
}
@Override
public void setState(Map stateMap, boolean initialize) {
Preconditions.checkState(stateMap == null || stateMap.isEmpty(), "No-op updater does not have any updater state," +
" attempting to set with %s values", (stateMap == null ? 0 : stateMap.size()));
}
@Override
public Map getState() {
return Collections.emptyMap();
}
@Override
public void setStateViewArray(INDArray viewArray, long[] shape, char order, boolean initialize) {
//No op
}
@Override
public void applyUpdater(INDArray gradient, int iteration, int epoch) {
//No op
}
}