58 lines
2.1 KiB
Java
58 lines
2.1 KiB
Java
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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package org.deeplearning4j.arbiter.layers;
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import lombok.AccessLevel;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import lombok.NoArgsConstructor;
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import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
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import org.deeplearning4j.arbiter.optimize.parameter.FixedValue;
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import org.deeplearning4j.nn.conf.layers.BasePretrainNetwork;
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import org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction;
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import org.nd4j.shade.jackson.annotation.JsonProperty;
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@Data
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@EqualsAndHashCode(callSuper = true)
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@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization
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public abstract class BasePretrainNetworkLayerSpace<L extends BasePretrainNetwork> extends FeedForwardLayerSpace<L> {
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@JsonProperty
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protected ParameterSpace<LossFunction> lossFunction;
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protected BasePretrainNetworkLayerSpace(Builder builder) {
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super(builder);
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this.lossFunction = builder.lossFunction;
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}
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public static abstract class Builder<T> extends FeedForwardLayerSpace.Builder<T> {
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protected ParameterSpace<LossFunction> lossFunction;
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public T lossFunction(LossFunction lossFunction) {
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return lossFunction(new FixedValue<LossFunction>(lossFunction));
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}
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public T lossFunction(ParameterSpace<LossFunction> lossFunction) {
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this.lossFunction = lossFunction;
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return (T) this;
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}
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}
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}
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