All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.nd4j.linalg.learning.config.IUpdater Maven / Gradle / Ivy

There is a newer version: 1.0.0-M2.1
Show newest version
/*******************************************************************************
 * 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.config;

import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.learning.GradientUpdater;
import org.nd4j.linalg.schedule.ISchedule;
import org.nd4j.shade.jackson.annotation.JsonAutoDetect;
import org.nd4j.shade.jackson.annotation.JsonInclude;
import org.nd4j.shade.jackson.annotation.JsonTypeInfo;

import java.io.Serializable;

/**
 * IUpdater interface: used for configuration and instantiation of updaters - both built-in and custom.
* Note that the actual implementations for updaters are in {@link GradientUpdater} * * @author Alex Black */ @JsonInclude(JsonInclude.Include.NON_NULL) @JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE, setterVisibility = JsonAutoDetect.Visibility.NONE) @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class") public interface IUpdater extends Serializable, Cloneable { /** * Determine the updater state size for the given number of parameters. Usually a integer multiple (0,1 or 2) * times the number of parameters in a layer. * * @param numParams Number of parameters * @return Updater state size for the given number of parameters */ long stateSize(long numParams); /** * Create a new gradient updater * * @param viewArray The updater state size view away * @param initializeViewArray If true: initialise the updater state * @return */ GradientUpdater instantiate(INDArray viewArray, boolean initializeViewArray); boolean equals(Object updater); /** * Clone the updater */ IUpdater clone(); /** * Get the learning rate - if any - for the updater, at the specified iteration and epoch. * Note that if no learning rate is applicable (AdaDelta, NoOp updaters etc) then Double.NaN should * be return * * @param iteration Iteration at which to get the learning rate * @param epoch Epoch at which to get the learning rate * @return Learning rate, or Double.NaN if no learning rate is applicable for this updater */ double getLearningRate(int iteration, int epoch); /** * @return True if the updater has a learning rate hyperparameter, false otherwise */ boolean hasLearningRate(); /** * Set the learning rate and schedule. Note: may throw an exception if {@link #hasLearningRate()} returns false. * @param lr Learning rate to set (typically not used if LR schedule is non-null) * @param lrSchedule Learning rate schedule to set (may be null) */ void setLrAndSchedule(double lr, ISchedule lrSchedule); }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy