org.nd4j.linalg.api.ops.impl.shape.bp.ConcatBp Maven / Gradle / Ivy
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* * 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.
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* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.shape.bp;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
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.ops.DynamicCustomOp;
import org.nd4j.linalg.api.ops.Op;
import java.util.*;
@Slf4j
public class ConcatBp extends DynamicCustomOp {
private int concatDimension;
private boolean dynamicAxis;
public ConcatBp(){
}
/**
*
* @param sameDiff
* @param concatDimension
* @param inputsAndGrad Original inputs, followed by output gradient
*/
public ConcatBp(@NonNull SameDiff sameDiff, int concatDimension, @NonNull SDVariable... inputsAndGrad){
super(null, sameDiff, inputsAndGrad);
addIArgument(concatDimension);
this.concatDimension = concatDimension;
}
/**
*
* @param sameDiff SameDiff instance
* @param inputsGradAxis Inputs, gradient array, and axis
*/
public ConcatBp(@NonNull SameDiff sameDiff, @NonNull SDVariable... inputsGradAxis){
super(null, sameDiff, inputsGradAxis);
Preconditions.checkState(inputsGradAxis[inputsGradAxis.length-1].dataType().isIntType(),
"When using this constructor, the last input must be an integer array (for the axis)");
addBArgument(true); //Last argument
this.dynamicAxis = true;
}
@Override
public String opName() {
return "concat_bp";
}
@Override
public Op.Type opType() {
return Op.Type.CUSTOM;
}
@Override
public int getNumOutputs(){
return args().length - 1 - (dynamicAxis ? 1 : 0);
}
@Override
public List calculateOutputDataTypes(List dataTypes){
SDVariable[] args = args();
Preconditions.checkState(dataTypes.size() == args.length, "Expected list with exactly %s datatypes (original inputs + gradient), got %s", args.length, dataTypes);
//Output type is same as (original) input types
int n = getNumOutputs();
List out = new ArrayList<>(n);
for( int i=0; i