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/*
* ******************************************************************************
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* *
* * 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.
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* * 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 Igamma extends DynamicCustomOp {
public Igamma(@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 Igamma(@NonNull INDArray n, @NonNull INDArray x, INDArray output) {
this(n,x);
if (output != null) {
addOutputArgument(output);
}
}
public Igamma(@NonNull SameDiff sameDiff, @NonNull SDVariable n, @NonNull SDVariable x) {
super("", sameDiff, new SDVariable[]{n ,x});
}
@Override
public String opName() {
return "igamma";
}
@Override
public String tensorflowName() {
return "Igamma";
}
@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));
}
}