org.nd4j.linalg.api.ops.impl.controlflow.Where Maven / Gradle / Ivy
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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.impl.controlflow;
import lombok.NoArgsConstructor;
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 Where extends DynamicCustomOp {
public Where(SameDiff sameDiff, SDVariable[] args) {
super(null, sameDiff, args);
}
public Where(String opName, INDArray[] inputs, INDArray[] outputs, List tArguments, List iArguments) {
super(opName, inputs, outputs, tArguments, iArguments);
}
public Where(INDArray[] inputs, INDArray[] outputs) {
super(null, inputs, outputs);
}
public Where(SameDiff sameDiff, SDVariable[] args, boolean inPlace) {
super(null, sameDiff, args, inPlace);
}
public Where(SameDiff sd, SDVariable x, SDVariable y, SDVariable condition) {
this(sd,new SDVariable[]{condition,x,y});
}
public Where(SameDiff sd, SDVariable condition) {
this(sd,new SDVariable[]{condition});
}
public Where(SameDiff sd, SDVariable x, SDVariable condition) {
this(sd,new SDVariable[]{condition,x});
}
public Where(INDArray x, INDArray y, INDArray condition) {
this(new INDArray[]{condition,x,y},null);
}
public Where(INDArray x, INDArray condition) {
this(new INDArray[]{condition,x},null);
}
public Where(INDArray condition) {
this(new INDArray[]{condition},null);
}
@Override
public String opName() {
return "Where";
}
@Override
public String tensorflowName() {
return "Where";
}
@Override
public List calculateOutputDataTypes(List inputTypes) {
Preconditions.checkState(inputTypes != null && (inputTypes.size() == 1 || inputTypes.size() == 3),
"Expected 1 or 3 input types, got %s for op %s",inputTypes, getClass());
if(inputTypes.size() == 3) {
Preconditions.checkState(inputTypes.get(1) == inputTypes.get(2), "X and Y input must be same type, got inputs %s for op %s", inputTypes, getClass());
//Output type same as x/y types
return Collections.singletonList(inputTypes.get(1));
} else {
//Coordinates of true elements
//TODO allow this to be configured
return Collections.singletonList(DataType.LONG);
}
}
}