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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.scalar;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.imports.graphmapper.tf.TFGraphMapper;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseScalarOp;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative;
import org.nd4j.linalg.factory.Nd4j;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Collections;
import java.util.List;
import java.util.Map;
/**
* Rectified linear unit 6, i.e. min(max(input, cutoff), 6), where cutoff can be chosen.
*
* @author Max Pumperla
*/
public class Relu6 extends BaseScalarOp {
public Relu6(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double cutoff) {
super(sameDiff, i_v, cutoff, inPlace);
}
public Relu6() {
//
}
public Relu6(INDArray x, INDArray z, double cutoff) {
super(x,null, z, cutoff);
}
public Relu6(INDArray x, double cutoff) {
super(x, cutoff);
}
public Relu6(INDArray x, INDArray z) {
super(x, null, z,0.0f);
}
public Relu6(INDArray x) {
this(x, 0.0f);
}
@Override
public int opNum() {
return 40;
}
@Override
public String opName() {
return "relu6";
}
@Override
public String onnxName() { throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "Relu6";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
//TF cutoff is always 0.0. Need to make sure scalar type is same as input type (due to scalar op 'same type' exec restrictions)
if(attributesForNode.containsKey("T")){
attributesForNode.get("T").getType();
DataType dt = TFGraphMapper.convertType(attributesForNode.get("T").getType());
scalarValue = Nd4j.scalar(dt, 0.0);
}
}
@Override
public List doDiff(List i_v) {
SDVariable dLdOut = i_v.get(0);
return Collections.singletonList(f().relu6Derivative(arg(), dLdOut, scalarValue.getDouble(0)));
}
}