org.nd4j.linalg.api.ops.impl.scalar.ScalarMin Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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.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;
/**
* Scalar max operation.
* Returns the max of an element
* in the ndarray of the specified number.
*
* @author Adam Gibson
*/
public class ScalarMin extends BaseScalarOp {
public ScalarMin() {}
public ScalarMin(INDArray x, INDArray y, INDArray z, long n, Number num) {
super(x, y, z, n, num);
}
public ScalarMin(INDArray x, Number num) {
super(x, num);
}
public ScalarMin(SameDiff sd, SDVariable in, Number number){
super(sd, in, number);
}
@Override
public int opNum() {
return 12;
}
@Override
public String onnxName() {
return "Min";
}
@Override
public String tensorflowName() {
return "RealMin";
}
@Override
public String opName() {
return "scalar_min";
}
@Override
public void init(INDArray x, INDArray y, INDArray z, long n) {
super.init(x, y, z, n);
if (scalarValue != null)
this.extraArgs = new Object[] {scalarValue};
}
@Override
public List doDiff(List i_v1) {
SDVariable mask = arg().lt(scalarValue.doubleValue());
return Collections.singletonList(i_v1.get(0).mul(mask));
}
}