org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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* * information regarding copyright ownership.
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package org.nd4j.linalg.api.ops.impl.layers.convolution;
import lombok.Builder;
import lombok.Getter;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.impl.layers.convolution.config.Conv2DConfig;
import org.nd4j.common.util.ArrayUtil;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Getter
public class Col2Im extends DynamicCustomOp {
protected Conv2DConfig conv2DConfig;
@Builder(builderMethodName = "builder")
public Col2Im(SameDiff sameDiff, SDVariable[] inputFunctions, INDArray[] inputArrays, INDArray[] outputs, Conv2DConfig conv2DConfig) {
super(null,inputArrays,outputs);
if(sameDiff != null) {
this.sameDiff = sameDiff;
}
this.conv2DConfig = conv2DConfig;
addArgs();
}
public Col2Im(@NonNull SameDiff sd, @NonNull SDVariable input, @NonNull Conv2DConfig config){
super(null, sd, new SDVariable[]{input});
this.conv2DConfig = config;
addArgs();
}
public Col2Im() {}
public Col2Im(@NonNull INDArray in, @NonNull Conv2DConfig conv2DConfig) {
super("col2Im",in,null,null,null);
this.conv2DConfig = conv2DConfig;
}
protected void addArgs() {
addIArgument(conv2DConfig.getSH());
addIArgument(conv2DConfig.getSW());
addIArgument(conv2DConfig.getPH());
addIArgument(conv2DConfig.getPW());
addIArgument(conv2DConfig.getKH());
addIArgument(conv2DConfig.getKW());
addIArgument(conv2DConfig.getDH());
addIArgument(conv2DConfig.getDW());
addIArgument(ArrayUtil.fromBoolean(conv2DConfig.isSameMode()));
}
@Override
public Map propertiesForFunction() {
return conv2DConfig.toProperties();
}
@Override
public String opName() {
return "col2im";
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Unable to run derivative op on col2im");
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 1, "Expected 1 input data type for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}