org.nd4j.linalg.api.ops.impl.transforms.strict.ASinh Maven / Gradle / Ivy

Show more of this group Show more artifacts with this name
Show all versions of nd4j-api Show documentation
There is a newer version: 1.0.0-M2.1
/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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 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.Arrays;
import java.util.List;

public class ASinh extends BaseTransformStrictOp {
    public ASinh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
        super(sameDiff, i_v, inPlace);
    }

    public ASinh(SameDiff sameDiff, SDVariable i_v) {
        super(sameDiff, i_v, false);
    }

    public ASinh() {
    }

    public ASinh(INDArray x, INDArray z) {
        super(x, z);
    }

    public ASinh(INDArray x) {
        super(x);
    }

    @Override
    public int opNum() {
        return 47;
    }

    @Override
    public String opName() {
        return "asinh";
    }

    @Override
    public String onnxName() {
        throw new NoOpNameFoundException("No onnx op opName found for " + opName());
    }

    @Override
    public String tensorflowName() {
        return "Asinh";
    }

    @Override
    public List doDiff(List i_v) {
        //dasinh(x)/dx = 1 / sqrt(x^2+1)
        SDVariable xSqPlus1 = sameDiff.math.square(arg()).add(1.0);
        SDVariable ret = i_v.get(0).div(sameDiff.math.sqrt(xSqPlus1));
        return Arrays.asList(ret);
    }
}