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org.nd4j.linalg.factory.Broadcast Maven / Gradle / Ivy
/*-
*
* * Copyright 2017 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.factory;
import org.nd4j.base.Preconditions;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.impl.accum.AMax;
import org.nd4j.linalg.api.ops.impl.accum.AMin;
import org.nd4j.linalg.api.ops.impl.broadcast.*;
import org.nd4j.linalg.api.ops.impl.transforms.arithmetic.*;
import org.nd4j.linalg.api.ops.impl.transforms.comparison.*;
import java.util.Arrays;
/**
* Convenience methods for broadcasts
*
* @author Alex Black
*/
public class Broadcast {
private Broadcast(){ }
/**
* Broadcast add op. See: {@link BroadcastAddOp}
*/
public static INDArray add(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldAddOp(x,y,z));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastAddOp(x,y,z,dimensions));
}
/**
* Broadcast copy op. See: {@link BroadcastCopyOp}
*/
public static INDArray copy(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new CopyOp(x,y,z));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastCopyOp(x,y,z,dimensions));
}
/**
* Broadcast divide op. See: {@link BroadcastDivOp}
*/
public static INDArray div(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldDivOp(x,y,z));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastDivOp(x,y,z,dimensions));
}
/**
* Broadcast equal to op. See: {@link BroadcastEqualTo}
*/
public static INDArray eq(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldEqualTo(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastEqualTo(x,y,z,dimensions));
}
/**
* Broadcast greater than op. See: {@link BroadcastGreaterThan}
*/
public static INDArray gt(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldGreaterThan(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastGreaterThan(x,y,z,dimensions));
}
/**
* Broadcast greater than or equal to op. See: {@link BroadcastGreaterThanOrEqual}
*/
public static INDArray gte(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldGreaterThanOrEqual(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastGreaterThanOrEqual(x,y,z,dimensions));
}
/**
* Broadcast less than op. See: {@link BroadcastLessThan}
*/
public static INDArray lt(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldLessThan(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastLessThan(x,y,z,dimensions));
}
/**
* Broadcast less than or equal to op. See: {@link BroadcastLessThanOrEqual}
*/
public static INDArray lte(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldLessThanOrEqual(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastLessThanOrEqual(x,y,z,dimensions));
}
/**
* Broadcast element-wise multiply op. See: {@link BroadcastMulOp}
*/
public static INDArray mul(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
return Nd4j.getExecutioner().execAndReturn(new OldMulOp(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastMulOp(x,y,z,dimensions));
}
/**
* Broadcast not equal to op. See: {@link BroadcastNotEqual}
*/
public static INDArray neq(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldNotEqualTo(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastNotEqual(x,y,z,dimensions));
}
/**
* Broadcast reverse division op. See: {@link BroadcastRDivOp}
*/
public static INDArray rdiv(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldRDivOp(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastRDivOp(x,y,z,dimensions));
}
/**
* Broadcast reverse subtraction op. See: {@link BroadcastRSubOp}
*/
public static INDArray rsub(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldSubOp(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastRSubOp(x,y,z,dimensions));
}
/**
* Broadcast subtraction op. See: {@link BroadcastSubOp}
*/
public static INDArray sub(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
return Nd4j.getExecutioner().execAndReturn(new OldSubOp(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastSubOp(x,y,z,dimensions));
}
/**
* Broadcast max op. See: {@link BroadcastMax}
*/
public static INDArray max(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldMax(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastMax(x,y,z,dimensions));
}
/**
* Broadcast min op. See: {@link BroadcastMin}
*/
public static INDArray min(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new OldMin(x,y,z,x.length()));
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastMin(x,y,z,dimensions));
}
/**
* Broadcast absolute max op. See: {@link BroadcastAMax}
*/
public static INDArray amax(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new AMax(x,y,z,x.length())).z();
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastAMax(x,y,z,dimensions));
}
/**
* Broadcast absolute min op. See: {@link BroadcastAMax}
*/
public static INDArray amin(INDArray x, INDArray y, INDArray z, int... dimensions) {
if(dimensions == null) {
Preconditions.checkArgument(Arrays.equals(x.shape(),y.shape()),getFormattedShapeErrorMessageXy(x,y));
Preconditions.checkArgument(Arrays.equals(x.shape(),z.shape()),getFormattedShapeErrorMessageXResult(x,z));
return Nd4j.getExecutioner().execAndReturn(new AMin(x,y,z,x.length())).z();
}
return Nd4j.getExecutioner().execAndReturn(new BroadcastAMin(x,y,z,dimensions));
}
private static String getFormattedShapeErrorMessageXy(INDArray arr1,INDArray arr2) {
return String.format("Shapes for x(%s) and y(%s) must be equal!", Arrays.toString(arr1.shape()),Arrays.toString(arr2.shape()));
}
private static String getFormattedShapeErrorMessageXResult(INDArray arr1,INDArray arr2) {
return String.format("Shapes for x(%s) and result array(%s) must be equal!", Arrays.toString(arr1.shape()),Arrays.toString(arr2.shape()));
}
}
