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

org.deeplearning4j.nn.graph.vertex.BaseGraphVertex 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.deeplearning4j.nn.graph.vertex;

import lombok.Data;
import lombok.Getter;
import lombok.Setter;
import org.deeplearning4j.nn.api.TrainingConfig;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.graph.vertex.impl.LayerVertex;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;

import java.util.Collections;
import java.util.Map;

/** BaseGraphVertex defines a set of common functionality for GraphVertex instances.
 */
@Data
public abstract class BaseGraphVertex implements GraphVertex {

    protected ComputationGraph graph;

    protected String vertexName;

    /** The index of this vertex */
    protected int vertexIndex;

    /**A representation of the vertices that are inputs to this vertex (inputs during forward pass)
     * Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z
     * then the Zth output of vertex Y is the Xth input to this vertex
     */
    protected VertexIndices[] inputVertices;

    /**A representation of the vertices that this vertex is connected to (outputs duing forward pass)
     * Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z
     * then the output of this vertex (there is only one output) is connected to the Zth input of vertex Y
     */
    protected VertexIndices[] outputVertices;

    protected INDArray[] inputs;
    protected INDArray epsilon;

    //Set outputVertex to true when Layer is an OutputLayer, OR For use in specialized situations like reinforcement learning
    // For RL situations, this Layer insn't an OutputLayer, but is the last layer in a graph, that gets its error/epsilon
    // passed in externally
    @Setter @Getter
    protected boolean outputVertex;

    protected DataType dataType;

    protected BaseGraphVertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices,
                    VertexIndices[] outputVertices, DataType dataType) {
        this.graph = graph;
        this.vertexName = name;
        this.vertexIndex = vertexIndex;
        this.inputVertices = inputVertices;
        this.outputVertices = outputVertices;
        this.dataType = dataType;

        this.inputs = new INDArray[(inputVertices != null ? inputVertices.length : 0)];
    }

    @Override
    public String getVertexName() {
        return vertexName;
    }

    @Override
    public int getVertexIndex() {
        return vertexIndex;
    }

    @Override
    public int getNumInputArrays() {
        return (inputVertices == null ? 0 : inputVertices.length);
    }

    @Override
    public int getNumOutputConnections() {
        return (outputVertices == null ? 0 : outputVertices.length);
    }

    /**A representation of the vertices that are inputs to this vertex (inputs duing forward pass)
* Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z * then the Zth output of vertex Y is the Xth input to this vertex */ @Override public VertexIndices[] getInputVertices() { return inputVertices; } @Override public void setInputVertices(VertexIndices[] inputVertices) { this.inputVertices = inputVertices; this.inputs = new INDArray[(inputVertices != null ? inputVertices.length : 0)]; } /**A representation of the vertices that this vertex is connected to (outputs duing forward pass) * Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z * then the Xth output of this vertex is connected to the Zth input of vertex Y */ @Override public VertexIndices[] getOutputVertices() { return outputVertices; } @Override public void setOutputVertices(VertexIndices[] outputVertices) { this.outputVertices = outputVertices; } @Override public boolean isInputVertex() { return false; } @Override public void setInput(int inputNumber, INDArray input, LayerWorkspaceMgr workspaceMgr) { if (inputNumber >= getNumInputArrays()) { throw new IllegalArgumentException("Invalid input number"); } inputs[inputNumber] = input; } @Override public void setEpsilon(INDArray epsilon) { this.epsilon = epsilon; } @Override public void clear() { for (int i = 0; i < inputs.length; i++) { inputs[i] = null; } epsilon = null; if(getLayer() != null){ getLayer().clear(); } } @Override public boolean canDoForward() { for (INDArray input : inputs) { if (input == null) { return false; } } return true; } @Override public boolean canDoBackward() { for (INDArray input : inputs) { if (input == null) { return false; } } return epsilon != null; } @Override public INDArray getEpsilon() { return epsilon; } @Override public abstract String toString(); @Override public void setLayerAsFrozen() { if (!(this instanceof LayerVertex)) { throw new IllegalArgumentException("Cannot set non layer vertices as frozen"); } } @Override public void clearVertex() { clear(); } @Override public Map paramTable(boolean backpropOnly) { return Collections.emptyMap(); } @Override public long numParams(){ return params() == null ? 0 : params().length(); } @Override public TrainingConfig getConfig() { return null; } @Override public INDArray params() { return null; } @Override public INDArray getGradientsViewArray() { return null; } @Override public boolean updaterDivideByMinibatch(String paramName) { if(hasLayer()){ return getLayer().updaterDivideByMinibatch(paramName); } return true; } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy