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org.nd4j.linalg.api.ops.impl.accum.TensorMmul Maven / Gradle / Ivy
/*-
*
* * 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.impl.accum;
import lombok.NoArgsConstructor;
import org.nd4j.linalg.api.complex.IComplexNumber;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseAccumulation;
import org.nd4j.linalg.api.ops.Op;
import org.nd4j.linalg.factory.Nd4j;
/**
* Dot product
* @author Adam Gibson
*/
@NoArgsConstructor
public class TensorMmul extends BaseAccumulation {
private int[][] axes;
public TensorMmul(INDArray x, INDArray y, int[][] axes) {
super(x, y);
this.axes = axes;
this.extraArgs = new Object[] {axes};
}
/**
* 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
*/
public TensorMmul(INDArray x, INDArray y, INDArray z, int[][] axes) {
super(x, y, z, 0);
this.axes = axes;
}
@Override
public boolean isExecSpecial() {
return true;
}
@Override
public void exec() {
if(this.z != null)
this.z.assign(Nd4j.tensorMmul(x,y,z,axes));
else
this.z = Nd4j.tensorMmul(x,y,axes);
}
@Override
public int opNum() {
return 3;
}
@Override
public long n() {
return 0;
}
@Override
public String name() {
return "tensormmul";
}
@Override
public Op opForDimension(int index, int dimension) {
throw new UnsupportedOperationException();
}
@Override
public Op opForDimension(int index, int... dimension) {
throw new UnsupportedOperationException();
}
@Override
public IComplexNumber op(IComplexNumber origin, double other) {
numProcessed++;
return origin.mul(other);
}
@Override
public IComplexNumber op(IComplexNumber origin, float other) {
numProcessed++;
return origin.mul(other);
}
@Override
public IComplexNumber op(IComplexNumber origin, IComplexNumber other) {
numProcessed++;
return origin.mul(other);
}
@Override
public float op(float origin, float other) {
numProcessed++;
return origin * other;
}
@Override
public double op(double origin, double other) {
numProcessed++;
return origin * other;
}
@Override
public double op(double origin) {
numProcessed++;
return origin;
}
@Override
public float op(float origin) {
return origin;
}
@Override
public IComplexNumber op(IComplexNumber origin) {
return origin;
}
@Override
public double update(double accum, double x) {
return accum + x;
}
@Override
public double update(double accum, double x, double y) {
return accum + x * y;
}
@Override
public float update(float accum, float x) {
return accum + x;
}
@Override
public float update(float accum, float x, float y) {
return accum + x * y;
}
@Override
public IComplexNumber update(IComplexNumber accum, double x) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, double x, double y) {
return accum.add(x * y);
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x) {
return accum.add(x);
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x, IComplexNumber y) {
return accum.add(x.mul(y));
}
@Override
public IComplexNumber update(IComplexNumber accum, IComplexNumber x, double y) {
return accum.add(x.mul(y));
}
@Override
public double combineSubResults(double first, double second) {
return first + second;
}
@Override
public float combineSubResults(float first, float second) {
return first + second;
}
@Override
public IComplexNumber combineSubResults(IComplexNumber first, IComplexNumber second) {
return first.add(second);
}
}