84 lines
2.4 KiB
Java
84 lines
2.4 KiB
Java
|
/*******************************************************************************
|
||
|
* 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.params;
|
||
|
|
||
|
import org.deeplearning4j.nn.api.ParamInitializer;
|
||
|
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
|
||
|
import org.deeplearning4j.nn.conf.layers.Layer;
|
||
|
import org.nd4j.linalg.api.ndarray.INDArray;
|
||
|
|
||
|
import java.util.Collections;
|
||
|
import java.util.List;
|
||
|
import java.util.Map;
|
||
|
|
||
|
/**
|
||
|
* @author Adam Gibson
|
||
|
*/
|
||
|
public class EmptyParamInitializer implements ParamInitializer {
|
||
|
|
||
|
private static final EmptyParamInitializer INSTANCE = new EmptyParamInitializer();
|
||
|
|
||
|
public static EmptyParamInitializer getInstance() {
|
||
|
return INSTANCE;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public long numParams(NeuralNetConfiguration conf) {
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public long numParams(Layer layer) {
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public List<String> paramKeys(Layer layer) {
|
||
|
return Collections.emptyList();
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public List<String> weightKeys(Layer layer) {
|
||
|
return Collections.emptyList();
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public List<String> biasKeys(Layer layer) {
|
||
|
return Collections.emptyList();
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public boolean isWeightParam(Layer layer, String key) {
|
||
|
return false;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public boolean isBiasParam(Layer layer, String key) {
|
||
|
return false;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public Map<String, INDArray> init(NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams) {
|
||
|
return Collections.EMPTY_MAP;
|
||
|
}
|
||
|
|
||
|
@Override
|
||
|
public Map<String, INDArray> getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView) {
|
||
|
return Collections.emptyMap();
|
||
|
}
|
||
|
}
|