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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.nd4j.linalg.api.ops;
import lombok.Data;
import lombok.extern.slf4j.Slf4j;
import lombok.val;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.shape.Shape;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.primitives.Pair;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/**
* Index based reduction algo
*
* @author Adam Gibson
*/
@Slf4j
@Data
public abstract class BaseIndexAccumulation extends BaseOp implements IndexAccumulation {
protected int finalResult;
protected boolean keepDims = false;
protected boolean newFormat = false;
public BaseIndexAccumulation(SameDiff sameDiff,
SDVariable i_v,
boolean keepDims,
int[] dimensions) {
super(sameDiff,new Object[]{dimensions});
if (i_v != null) {
this.dimensions = dimensions;
f().validateDifferentialFunctionsameDiff(i_v);
sameDiff.addArgsFor(new SDVariable[]{i_v},this);
if(Shape.isPlaceholderShape(i_v.getShape())) {
sameDiff.addPropertyToResolve(this,i_v.getVarName());
}
this.xVertexId = i_v.getVarName();
} else {
throw new IllegalArgumentException("Input not null variable.");
}
this.keepDims = keepDims;
this.newFormat = true;
}
public BaseIndexAccumulation(SameDiff sameDiff,
SDVariable i_v,
SDVariable i_v2,
boolean keepDims,
int[] dimensions) {
super(sameDiff,new Object[]{dimensions});
if (i_v != null) {
this.dimensions = dimensions;
f().validateDifferentialFunctionsameDiff(i_v);
f().validateDifferentialFunctionsameDiff(i_v2);
this.xVertexId = i_v.getVarName();
this.yVertexId = i_v2.getVarName();
sameDiff.addArgsFor(new SDVariable[]{i_v,i_v2},this);
if(Shape.isPlaceholderShape(i_v.getShape())) {
sameDiff.addPropertyToResolve(this,i_v.getVarName());
}
if(Shape.isPlaceholderShape(i_v2.getShape())) {
sameDiff.addPropertyToResolve(this,i_v2.getVarName());
}
} else {
throw new IllegalArgumentException("Input not null variable.");
}
this.keepDims = keepDims;
this.newFormat = true;
}
public BaseIndexAccumulation() {}
/**
* Initialize with the given
* input, pairwise transform, result, and number
* of elements
*
* @param x the input
* @param y the pairwise transform
* @param z the result
* @param n the number of elements
*/
public BaseIndexAccumulation(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
init(x,y,z,n);
}
public BaseIndexAccumulation(INDArray x, INDArray y, long n) {
this(x, y, x, n);
}
public BaseIndexAccumulation(INDArray x) {
this(x, null, x, x.lengthLong());
}
public BaseIndexAccumulation(INDArray x, INDArray y) {
this(x, y, x, x.lengthLong());
}
@Override
public double zeroDouble() {
return 0.0;
}
@Override
public float zeroFloat() {
return 0.0f;
}
@Override
public Pair zeroPair() {
return new Pair<>(zeroDouble(), -1);
}
private void init() {
init(x, y, x, x.lengthLong());
}
@Override
public void init(INDArray x, INDArray y, INDArray z, long n) {
super.init(x, y, z, n);
if (Nd4j.dataType() == DataBuffer.Type.DOUBLE) {
this.extraArgs = new Object[] {zeroDouble()};
} else if (Nd4j.dataType() == DataBuffer.Type.FLOAT) {
this.extraArgs = new Object[] {zeroFloat()};
} else if (Nd4j.dataType() == DataBuffer.Type.HALF) {
this.extraArgs = new Object[] {zeroHalf()};
}
}
@Override
public List calculateOutputShape() {
if(arg().getShape() == null)
return Collections.emptyList();
List ret = new ArrayList<>(1);
val reducedShape = Shape.getReducedShape(arg().getShape(),dimensions, keepDims, newFormat);
ret.add(reducedShape);
return ret;
}
@Override
public Type opType() {
return Type.INDEXREDUCE;
}
@Override
public void setFinalResult(int idx) {
this.finalResult = idx;
}
@Override
public int getFinalResult() {
return finalResult;
}
}