org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace 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.layers;
import lombok.AccessLevel;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
import org.deeplearning4j.arbiter.optimize.parameter.FixedValue;
import org.deeplearning4j.nn.conf.layers.BasePretrainNetwork;
import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
import org.nd4j.shade.jackson.annotation.JsonProperty;
@Data
@EqualsAndHashCode(callSuper = true)
@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization
public abstract class BasePretrainNetworkLayerSpace extends FeedForwardLayerSpace {
@JsonProperty
protected ParameterSpace lossFunction;
protected BasePretrainNetworkLayerSpace(Builder builder) {
super(builder);
this.lossFunction = builder.lossFunction;
}
public static abstract class Builder extends FeedForwardLayerSpace.Builder {
protected ParameterSpace lossFunction;
public T lossFunction(LossFunction lossFunction) {
return lossFunction(new FixedValue(lossFunction));
}
public T lossFunction(ParameterSpace lossFunction) {
this.lossFunction = lossFunction;
return (T) this;
}
}
}