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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
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* * under the License.
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* * SPDX-License-Identifier: Apache-2.0
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*/
package org.nd4j.linalg.api.ops.impl.scalar;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseScalarOp;
import java.util.Collections;
import java.util.List;
public class ScalarMax extends BaseScalarOp {
public ScalarMax() {}
public ScalarMax(INDArray x, INDArray y, INDArray z, Number num) {
super(x, y, z, num);
}
public ScalarMax(INDArray x, Number num) {
super(x, num);
}
public ScalarMax(SameDiff sd, SDVariable in, Number number){
super(sd, in, number);
}
@Override
public int opNum() {
return 6;
}
@Override
public String opName() {
return "max_scalar";
}
@Override
public List doDiff(List i_v1) {
SDVariable mask = arg().gt(scalarValue.getDouble(0)).castTo(arg().dataType());
return Collections.singletonList(i_v1.get(0).mul(mask));
}
}