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/*******************************************************************************
* 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.impl;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.api.MaskState;
import org.deeplearning4j.nn.conf.InputPreProcessor;
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.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.primitives.Pair;
import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
/** PreprocessorVertex is a simple adaptor class that allows a {@link InputPreProcessor} to be used in a ComputationGraph
* GraphVertex, without it being associated with a layer.
* @author Alex Black
*/
public class PreprocessorVertex extends BaseGraphVertex {
private InputPreProcessor preProcessor;
public PreprocessorVertex(ComputationGraph graph, String name, int vertexIndex, InputPreProcessor preProcessor, DataType dataType) {
this(graph, name, vertexIndex, null, null, preProcessor, dataType);
}
public PreprocessorVertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices,
VertexIndices[] outputVertices, InputPreProcessor preProcessor, DataType dataType) {
super(graph, name, vertexIndex, inputVertices, outputVertices, dataType);
this.preProcessor = preProcessor;
}
@Override
public boolean hasLayer() {
return false;
}
@Override
public Layer getLayer() {
return null;
}
@Override
public INDArray doForward(boolean training, LayerWorkspaceMgr workspaceMgr) {
return preProcessor.preProcess(inputs[0], graph.batchSize(), workspaceMgr);
}
@Override
public Pair doBackward(boolean tbptt, LayerWorkspaceMgr workspaceMgr) {
return new Pair<>(null, new INDArray[] {preProcessor.backprop(epsilon, graph.batchSize(), workspaceMgr)});
}
@Override
public String toString() {
return "PreprocessorVertex(id=" + this.getVertexIndex() + ",name=\"" + this.getVertexName() + "\",preProcessor="
+ preProcessor.toString() + ")";
}
@Override
public void setBackpropGradientsViewArray(INDArray backpropGradientsViewArray) {
if (backpropGradientsViewArray != null)
throw new RuntimeException("Vertex does not have gradients; gradients view array cannot be set here");
}
@Override
public Pair feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState,
int minibatchSize) {
//No op
if (maskArrays == null || maskArrays.length == 0) {
return null;
}
return preProcessor.feedForwardMaskArray(maskArrays[0], currentMaskState, minibatchSize);
}
}