org.nd4j.linalg.api.ops.impl.transforms.strict.HardSigmoid Maven / Gradle / Ivy
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* 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.transforms.strict;
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.BaseTransformFloatOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.BaseTransformStrictOp;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative;
import java.util.Collections;
import java.util.List;
/**
* HardSigmoid function
*
* @author [email protected]
*/
public class HardSigmoid extends BaseTransformStrictOp {
public HardSigmoid() {}
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);
}
@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 Collections.singletonList(f().hardSigmoidBp(arg(), f1.get(0)));
}
}