50 lines
1.9 KiB
Java
50 lines
1.9 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.task;
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import org.deeplearning4j.arbiter.optimize.api.Candidate;
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import org.deeplearning4j.nn.api.Model;
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import java.io.Serializable;
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/**
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* TaskListener: can be used to preprocess and post process a model (MultiLayerNetwork or ComputationGraph) before/after
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* training, in a {@link MultiLayerNetworkTaskCreator} or {@link ComputationGraphTaskCreator}
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*
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* @author Alex Black
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*/
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public interface TaskListener extends Serializable {
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/**
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* Preprocess the model, before any training has taken place.
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* <br>
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* Can be used to (for example) set listeners on a model before training starts
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* @param model Model to preprocess
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* @param candidate Candidate information, for the current model
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* @return The updated model (usually the same one as the input, perhaps with modifications)
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*/
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<T extends Model> T preProcess(T model, Candidate candidate);
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/**
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* Post process the model, after any training has taken place
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* @param model Model to postprocess
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* @param candidate Candidate information, for the current model
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*/
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void postProcess(Model model, Candidate candidate);
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}
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