org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid Maven / Gradle / Ivy
The newest version!
/*
* ******************************************************************************
* *
* *
* * 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.transforms.strict;
import lombok.NoArgsConstructor;
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.BaseTransformStrictOp;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidBp;
import java.util.List;
@NoArgsConstructor
public class HardSigmoid extends BaseTransformStrictOp {
public HardSigmoid(INDArray x, INDArray z) {
super(x, z);
}
public HardSigmoid(INDArray ndArray) {
super(ndArray);
}
public HardSigmoid(SameDiff sameDiff, SDVariable in, boolean inPlace){
super(sameDiff, in, inPlace);
}
public HardSigmoid(SameDiff sameDiff, SDVariable in){
this(sameDiff, in, false);
}
@Override
public int opNum() {
return 36;
}
@Override
public String opName() {
return "hard_sigmoid";
}
@Override
public String onnxName() {
return "HardSigmoid";
}
@Override
public String tensorflowName() {
return "HardSigmoid";
}
@Override
public List doDiff(List f1) {
return new HardSigmoidBp(sameDiff, arg(), f1.get(0)).outputs();
}
}