org.nd4j.linalg.api.ops.impl.transforms.strict.ACos Maven / Gradle / Ivy
The newest version!
/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.strict;
import lombok.NoArgsConstructor;
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.BaseTransformStrictOp;
import java.util.Collections;
import java.util.List;
@NoArgsConstructor
public class ACos extends BaseTransformStrictOp {
public ACos(SameDiff sameDiff, SDVariable i_v) {
this(sameDiff, i_v, false);
}
public ACos(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public ACos(INDArray x) {
super(x);
}
public ACos(INDArray x, INDArray y) {
super(x, y);
}
@Override
public int opNum() {
return 30;
}
@Override
public String opName() {
return "acos";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "Acos";
}
@Override
public List doDiff(List i_v) {
//dacos(x)/dx = -1 / sqrt(1-x^2)
SDVariable oneSubSq = sameDiff.math.square(arg()).rsub(1.0);
SDVariable sqrt = sameDiff.math.sqrt(oneSubSq);
SDVariable ret = sqrt.rdiv(-1.0).mul(i_v.get(0));
return Collections.singletonList(ret);
}
}