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Java example source code file (SubsetVertex.java)

This example Java source code file (SubsetVertex.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

basegraphvertex, cannot, illegalstateexception, indarray, indarrayindex, invalid, layer, override, pair, runtimeexception, should, string, subsetvertex, util, vertexindices

The SubsetVertex.java Java example source code

/*
 *
 *  * Copyright 2016 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://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.
 *
 */

package org.deeplearning4j.nn.graph.vertex.impl;

import org.deeplearning4j.berkeley.Pair;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.gradient.Gradient;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.graph.vertex.BaseGraphVertex;
import org.deeplearning4j.nn.graph.vertex.VertexIndices;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.indexing.INDArrayIndex;
import org.nd4j.linalg.indexing.NDArrayIndex;

import java.util.Arrays;

/** SubsetVertex is used to select a subset of the activations out of another GraphVertex.<br>
 * For example, a subset of the activations out of a layer.<br>
 * Note that this subset is specifying by means of an interval of the original activations.
 * For example, to get the first 10 activations of a layer (or, first 10 features out of a CNN layer) use
 * new SubsetVertex(0,9).<br>
 * In the case of convolutional (4d) activations, this is done along depth.
 * @author Alex Black
 */
public class SubsetVertex extends BaseGraphVertex {
    private int from;
    private int to; //inclusive
    private int[] forwardShape;

    public SubsetVertex(ComputationGraph graph, String name, int vertexIndex, int from, int to){
        this(graph,name,vertexIndex,null,null,from,to);
    }

    public SubsetVertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices, VertexIndices[] outputVertices,
                        int from, int to) {
        super(graph, name, vertexIndex, inputVertices, outputVertices);
        this.from = from;
        this.to = to;
    }

    @Override
    public boolean hasLayer() {
        return false;
    }

    @Override
    public boolean isOutputVertex() {
        return false;
    }

    @Override
    public Layer getLayer() {
        return null;
    }

    @Override
    public INDArray doForward(boolean training) {
        if(!canDoForward()) throw new IllegalStateException("Cannot do forward pass: input not set");

        forwardShape = Arrays.copyOf(inputs[0].shape(), inputs[0].rank());

        switch (inputs[0].rank()) {
            case 2:
                return inputs[0].get(NDArrayIndex.all(), NDArrayIndex.interval(from, to, true));
            case 3:
                return inputs[0].get(NDArrayIndex.all(), NDArrayIndex.interval(from, to, true), NDArrayIndex.all());
            case 4:
                return inputs[0].get(NDArrayIndex.all(), NDArrayIndex.interval(from, to, true), NDArrayIndex.all(), NDArrayIndex.all());
            default:
                throw new UnsupportedOperationException("Cannot get subset for activations of rank " + inputs[0].rank());
        }
    }

    @Override
    public Pair<Gradient, INDArray[]> doBackward(boolean tbptt) {
        if(!canDoBackward()) throw new IllegalStateException("Cannot do backward pass: error not set");

        INDArray out = Nd4j.zeros(forwardShape);
        switch (forwardShape.length) {
            case 2:
                out.put(new INDArrayIndex[]{NDArrayIndex.all(), NDArrayIndex.interval(from, to, true)}, epsilons[0]);
                break;
            case 3:
                out.put(new INDArrayIndex[]{NDArrayIndex.all(), NDArrayIndex.interval(from, to, true), NDArrayIndex.all()}, epsilons[0]);
                break;
            case 4:
                out.put(new INDArrayIndex[]{NDArrayIndex.all(), NDArrayIndex.interval(from, to, true), NDArrayIndex.all(), NDArrayIndex.all()}, epsilons[0]);
                break;
            default:
                throw new RuntimeException("Invalid activation rank");  //Should never happen
        }
        return new Pair<>(null,new INDArray[]{out});
    }

    @Override
    public String toString() {
        return "SubsetVertex(id=" + this.getVertexIndex() + ",name=\"" + this.getVertexName() + "\",fromIdx=" + from + ",toIdx=" + to + ")";
    }

    @Override
    public void setBackpropGradientsViewArray(INDArray backpropGradientsViewArray) {
        if(backpropGradientsViewArray != null) throw new RuntimeException("Vertex does not have gradients; gradients view array cannot be set here");
    }
}

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