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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.random.impl;
import lombok.NonNull;
import onnx.OnnxProto3;
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.random.BaseRandomOp;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* Inverted DropOut implementation as Op
*
* @author [email protected]
*/
public class DropOutInverted extends BaseRandomOp {
private double p;
public DropOutInverted() {
}
public DropOutInverted(SameDiff sameDiff, SDVariable input, double p) {
super(sameDiff, input);
this.p = p;
//https://github.com/deeplearning4j/deeplearning4j/issues/5650
throw new UnsupportedOperationException("Dropout SameDiff support disabled pending backprop support");
}
public DropOutInverted(@NonNull INDArray x, double p) {
this(x, x, p, x.lengthLong());
}
public DropOutInverted(@NonNull INDArray x, @NonNull INDArray z, double p) {
this(x, z, p, x.lengthLong());
}
public DropOutInverted(@NonNull INDArray x, @NonNull INDArray z, double p, long n) {
this.p = p;
init(x, null, z, n);
}
@Override
public int opNum() {
return 2;
}
@Override
public String opName() {
return "dropout_inverted";
}
@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 void init(INDArray x, INDArray y, INDArray z, long n) {
super.init(x, y, z, n);
this.extraArgs = new Object[] {p};
}
@Override
public String onnxName() {
return "Dropout";
}
@Override
public String tensorflowName() {
return "Dropout";
}
@Override
public List doDiff(List f1) {
return null;
}
}