org.nd4j.linalg.api.ops.custom.Igammac Maven / Gradle / Ivy

Go to download
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
/* ******************************************************************************
 * Copyright (c) 2019 Konduit K.K.
 *
 * 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.custom;

import lombok.NoArgsConstructor;
import lombok.NonNull;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;

import java.util.Collections;
import java.util.List;

@NoArgsConstructor
public class Igammac extends DynamicCustomOp {
    public Igammac(@NonNull INDArray n, @NonNull INDArray x) {
        Preconditions.checkArgument(n.shape() != x.shape(),
                "Igamma: n and x must have the same shapes");
        addInputArgument(n,x);
    }

    public Igammac(@NonNull INDArray n, @NonNull INDArray x, INDArray output) {
        this(n,x);
        if (output != null) {
            addOutputArgument(output);
        }
    }

    public Igammac(@NonNull SameDiff sameDiff, @NonNull SDVariable n, @NonNull SDVariable x) {
        super("", sameDiff, new SDVariable[]{n ,x});
    }

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

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

    @Override
    public List calculateOutputDataTypes(List inputDataTypes){
        int n = args().length;
        Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), inputDataTypes);
        return Collections.singletonList(inputDataTypes.get(0));
    }
}