org.nd4j.linalg.api.ops.impl.transforms.Pad Maven / Gradle / Ivy
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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
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* under the License.
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.List;
import java.util.Map;
/**
* Pad op
* @author Alex Black
*/
public class Pad extends DynamicCustomOp {
public enum Mode {CONSTANT, REFLECT, SYMMETRIC}
private Mode mode;
private double constant;
public Pad(){ }
public Pad(SameDiff sd, SDVariable in, SDVariable padding, Mode mode){
super(sd, new SDVariable[]{in, padding}, false);
this.mode = mode;
addIArgument(mode.ordinal());
}
@Override
public String opName(){
return "pad";
}
@Override
public String[] tensorflowNames() {
return new String[]{"Pad", "PadV2"};
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
//Based on TF codebase: gen_array_ops.mirror_pad is osed for BOTH REFLECT and SYMMETRIC mode. Hence only constant being imported here
this.mode = Mode.CONSTANT;
addIArgument(mode.ordinal());
//Constant value is resolved just before execution
}
@Override
public void resolvePropertiesFromSameDiffBeforeExecution() {
if(args().length == 3){
INDArray arr = arg(2).getArr();
this.tArguments.clear();
this.tArguments.add(arr.getDouble(0));
}
super.resolvePropertiesFromSameDiffBeforeExecution();
}
@Override
public List doDiff(List i_v) {
throw new UnsupportedOperationException("Not implemented yet");
}
}