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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.impl.reduce.longer;
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.BaseReduceLongOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.indexing.conditions.Condition;
import java.util.Collections;
import java.util.List;
public class MatchCondition extends BaseReduceLongOp {
private double compare;
private double eps;
private int mode;
public MatchCondition(SameDiff sameDiff, SDVariable in, Condition condition) {
this(sameDiff, in, condition, false, null);
}
public MatchCondition(SameDiff sameDiff, SDVariable in, Condition condition, boolean keepDims, int... dimensions) {
super(sameDiff, in, dimensions, keepDims);
this.compare = condition.getValue();
this.mode = condition.condtionNum();
this.eps = Nd4j.EPS_THRESHOLD;
this.extraArgs = new Object[] {compare, eps, (double) mode};
}
public MatchCondition() {}
public MatchCondition(INDArray x, Condition condition, int... dimensions) {
this(x, Nd4j.EPS_THRESHOLD, condition, dimensions);
}
public MatchCondition(INDArray x, Condition condition, boolean keepDims, int... dimensions) {
this(x, Nd4j.EPS_THRESHOLD, condition, dimensions);
this.keepDims = keepDims;
}
public MatchCondition(INDArray x, double eps, Condition condition, int... dimensions) {
super(x);
this.compare = condition.getValue();
this.mode = condition.condtionNum();
this.eps = eps;
this.extraArgs = new Object[] {compare, eps, (double) mode};
defineDimensions(dimensions);
}
@Override
public int opNum() {
return 2;
}
@Override
public String opName() {
return "match_condition";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public List doDiff(List f1) {
return Collections.singletonList(sameDiff.zerosLike(arg()));
}
}