org.nd4j.linalg.api.ops.impl.transforms.strict.SoftSign Maven / Gradle / Ivy
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* Copyright (c) 2015-2018 Skymind, Inc.
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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.
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* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.ops.impl.transforms.strict;
import java.util.Collections;
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 java.util.Arrays;
import java.util.List;
/**
* Softsign element-wise activation function. f(x) = x/(1+abs(x))
* Similar in shape to tanh but may outperform it due to
* 'gentler' nonlinearity (smoother asymptotes).
* See for example: http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
*
* @author Alex Black
*/
public class SoftSign extends BaseTransformStrictOp {
public SoftSign(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public SoftSign() {
}
public SoftSign(INDArray x, INDArray z) {
super(x, z);
}
public SoftSign(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 34;
}
@Override
public String opName() {
return "softsign";
}
@Override
public String onnxName() {
return "Softsign";
}
@Override
public String tensorflowName() {
return "Softsign";
}
@Override
public List doDiff(List i_v) {
return Collections.singletonList(f().softsignBp(arg(), i_v.get(0)));
}
}