org.nd4j.linalg.api.ops.impl.transforms.strict.HardTanh Maven / Gradle / Ivy
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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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* * 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
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* * SPDX-License-Identifier: Apache-2.0
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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.HardTanhBp;
import java.util.List;
@NoArgsConstructor
public class HardTanh extends BaseTransformStrictOp {
public HardTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public HardTanh(SameDiff sameDiff, SDVariable i_v) {
this(sameDiff, i_v, false);
}
public HardTanh(INDArray x, INDArray z) {
super(x, z);
}
public HardTanh(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 33;
}
@Override
public String opName() {
return "hardtanh";
}
@Override
public String onnxName() {
return "HardTanh";
}
@Override
public String tensorflowName() {
return "HardTanh";
}
@Override
public List doDiff(List i_v) {
return new HardTanhBp(sameDiff, arg(), i_v.get(0)).outputs();
}
}