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/*
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://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.
*
*
*/
package org.nd4j.linalg.api.ops;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import java.nio.Buffer;
/**
* Base op. An op involves iterating over 2 buffers (x,y) up to n elements
* and applying a transform or accumulating a result.
*
* @author Adam Gibson
*/
public abstract class BaseOp implements Op {
protected INDArray x, y, z;
protected long n;
protected long numProcessed;
protected Object[] extraArgs;
protected boolean passThrough;
public BaseOp() {
}
@Override
public boolean isExecSpecial() {
return false;
}
public static Type getOpType(Op op) {
Type type = null;
if (op instanceof TransformOp) {
if (op.y() == null) {
if (!op.isExecSpecial())
type = Op.Type.TRANSFORM;
else
type = Op.Type.SPECIAL;
} else {
type = Op.Type.PAIRWISE;
}
} else if (op instanceof Accumulation) {
if (op.y() == null)
type = Op.Type.REDUCE;
else type = Op.Type.REDUCE3;
} else if (op instanceof ScalarOp) {
type = Op.Type.SCALAR;
} else if(op instanceof BroadcastOp) {
type = Op.Type.BROADCAST;
} else if(op instanceof IndexAccumulation) {
type = Op.Type.INDEXREDUCE;
} else if (op instanceof MetaOp) {
type = Type.META;
} else if (op instanceof GridOp) {
type = Type.GRID;
}
return type;
}
/*
op instanceof Variance
op instanceof CosineSimilarity
op instanceof Im2col
op instanceof Col2Im
op instanceof Pow
op instanceof LeakyReLU
op instanceof RectifedLinear
op instanceof LeakyReLUDerivative
op instanceof Stabilize
op instanceof Step
op instanceof SetRange
op instanceof IsMax
*/
@Override
public DataBuffer extraArgsDataBuff() {
if(extraArgs != null) {
DataBuffer.Type dtype = x != null ? x.data().dataType() : Nd4j.dataType();
if(dtype == DataBuffer.Type.FLOAT || dtype == DataBuffer.Type.HALF) {
float extraz[] = new float[extraArgs.length];
for(int i = 0; i < extraArgs.length; i++) {
Number arg = (Number) extraArgs[i];
float val = arg.floatValue();
extraz[i] = val;
}
return Nd4j.getConstantHandler().getConstantBuffer(extraz);
} else if (dtype == DataBuffer.Type.DOUBLE) {
double extraz[] = new double[extraArgs.length];
for(int i = 0; i < extraArgs.length; i++) {
Number arg = (Number) extraArgs[i];
double val = arg.doubleValue();
extraz[i] = val;
}
return Nd4j.getConstantHandler().getConstantBuffer(extraz);
}
}
return null;
}
@Override
public Buffer extraArgsBuff() {
if(extraArgs != null) {
DataBuffer retBuff;
if(x.data().dataType() == DataBuffer.Type.FLOAT) {
retBuff = Nd4j.createBuffer(new float[extraArgs.length]);
for(int i = 0; i < extraArgs.length; i++) {
Number val = (Number) extraArgs[i];
retBuff.put(i,val.floatValue());
}
return retBuff.asNioFloat();
}
else {
retBuff = Nd4j.createBuffer(new double[extraArgs.length]);
for(int i = 0; i < extraArgs.length; i++) {
Number val = (Number) extraArgs[i];
retBuff.put(i, val.doubleValue());
}
return retBuff.asNioDouble();
}
}
return null;
}
@Override
public boolean isPassThrough() {
return passThrough;
}
@Override
public void setX(INDArray x) {
if(x == null)
throw new IllegalArgumentException("X must not be null");
this.x = x;
numProcessed = 0;
}
@Override
public void setZ(INDArray z) {
if(z == null)
throw new IllegalArgumentException("Z must not be null");
this.z = z;
numProcessed = 0;
}
@Override
public void setY(INDArray y) {
if(y == null)
throw new IllegalArgumentException("Y must not be null");
this.y = y;
numProcessed = 0;
}
/**
* Specify an alternative result array
*
* @param x the input
* @param z the output array
*/
public BaseOp(INDArray x, INDArray z) {
this(x, z, x.lengthLong());
}
/**
* Specify an alternative output array
*
* @param x the input
* @param z the output
* @param n the number of elements to iterate on
*/
public BaseOp(INDArray x, INDArray z, long n) {
this(x, null, z, n);
}
public BaseOp(INDArray x, INDArray y, INDArray z, long n) {
this.n = n;
init(x, y, z, n);
}
/**
* An op for one ndarray
*
* @param x the ndarray
*/
public BaseOp(INDArray x) {
this(x, null, x, x.lengthLong());
}
@Override
public Object[] extraArgs() {
return extraArgs;
}
@Override
public INDArray x() {
return x;
}
@Override
public INDArray y() {
return y;
}
@Override
public INDArray z() {
return z;
}
@Override
public long n() {
return n;
}
@Override
public void init(INDArray x, INDArray y, INDArray z, long n) {
this.x = x;
this.y = y;
this.z = z;
this.n = n;
}
@Override
public void setN(long n) {
this.n = n;
}
@Override
public long numProcessed() {
return numProcessed;
}
@Override
public String toString() {
return name();
}
@Override
public void exec() {
//no-op
}
@Override
public void exec(int... dimensions) {
//no-op
}
}
