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org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy Maven / Gradle / Ivy
/*******************************************************************************
* 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.impl.transforms.arithmetic;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* Level 1 blas op Axpy as libnd4j native op
*
* @author [email protected]
*/
public class Axpy extends BaseTransformOp {
private double p;
public Axpy(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, double p) {
super(sameDiff, i_v1, i_v2);
this.p = p;
}
public Axpy(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, double p) {
super(sameDiff, i_v1, i_v2, inPlace);
this.p = p;
}
public Axpy(SameDiff sameDiff, double p) {
super(sameDiff);
this.p = p;
}
public Axpy(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, Object[] extraArgs, double p) {
super(sameDiff, i_v1, i_v2, extraArgs);
this.p = p;
}
public Axpy(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double p) {
super(sameDiff, i_v, inPlace);
this.p = p;
}
public Axpy(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs, double p) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
this.p = p;
}
public Axpy(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs, double p) {
super(sameDiff, i_v, extraArgs);
this.p = p;
}
public Axpy() {
}
public Axpy(INDArray x, INDArray z, double p) {
// super(x, z, z, z.lengthLong());
this.p = p;
init(x, z, z, x.length());
}
public Axpy(INDArray x, INDArray z, double p, long n) {
// super(x, z, n);
this.p = p;
init(x, z, z, n);
}
public Axpy(INDArray x, INDArray y, INDArray z, double p, long n) {
// super(x,y,z,n);
this.p = p;
init(x, y, z, x.length());
}
@Override
public int opNum() {
return 17;
}
@Override
public String opName() {
return "axpy";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public void init(INDArray x, INDArray y, INDArray z, long n) {
super.init(x, y, z, n);
if (x.lengthLong() < n || y.lengthLong() < n || z.lengthLong() < n)
throw new IllegalStateException("Mis matched lengths: X: [" + x.lengthLong() + "], Y: [" + y.lengthLong()
+ "], Z: [" + z.lengthLong() + "], N: [" + n + "]");
this.extraArgs = new Object[] {p, (double) n};
}
@Override
public List doDiff(List f1) {
return null;
}
}