Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://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.
*
*
*/
package org.nd4j.linalg.api.ops.impl.transforms;
import onnx.OnnxProto3;
import org.nd4j.autodiff.functions.DifferentialFunction;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.List;
import java.util.Map;
/**
* RectifiedTanh
*
* Essentially max(0, tanh(x))
*
* @author [email protected]
*/
public class RectifiedTanh extends BaseTransformOp {
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
}
public RectifiedTanh(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs) {
super(sameDiff, i_v, extraArgs);
}
public RectifiedTanh() {}
public RectifiedTanh(INDArray x, INDArray z) {
super(x, z);
}
public RectifiedTanh(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public RectifiedTanh(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public RectifiedTanh(INDArray x, INDArray y, INDArray z) {
super(x, y, z, x.lengthLong());
}
public RectifiedTanh(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 61;
}
@Override
public String opName() {
return "rectified_tanh";
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op opName found for " + opName());
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
}
@Override
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
super.initFromOnnx(node, initWith, attributesForNode, graph);
}
@Override
public List doDiff(List f1) {
return null;
}
}