org.nd4j.linalg.api.ops.custom.Tri Maven / Gradle / Ivy
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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.
* *
* * SPDX-License-Identifier: Apache-2.0
* *****************************************************************************
*/
package org.nd4j.linalg.api.ops.custom;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
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 Tri extends DynamicCustomOp {
private DataType dataType = DataType.FLOAT;
public Tri(SameDiff sameDiff, int row, int column, int diag) {
super(sameDiff, new SDVariable[]{});
addIArgument(row,column,diag);
}
public Tri(SameDiff sameDiff, DataType dataType, int row, int column, int diag) {
super(sameDiff, new SDVariable[]{});
addIArgument(row,column,diag);
addDArgument(dataType);
this.dataType = dataType;
}
public Tri(int row, int column, int diag) {
super(new INDArray[]{}, null);
addIArgument(row,column,diag);
}
public Tri(DataType dataType, int row, int column, int diag) {
super(new INDArray[]{}, null);
addIArgument(row,column,diag);
addDArgument(dataType);
this.dataType = dataType;
}
@Override
public String opName() {
return "tri";
}
@Override
public List calculateOutputDataTypes(List inputDataTypes) {
return Collections.singletonList(this.dataType);
}
}