org.nd4j.linalg.api.ops.impl.shape.MergeMax Maven / Gradle / Ivy
/*******************************************************************************
* 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.shape;
import lombok.extern.slf4j.Slf4j;
import lombok.val;
import onnx.OnnxProto3;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.exception.ND4JIllegalStateException;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Slf4j
public class MergeMax extends DynamicCustomOp {
public MergeMax(SameDiff sameDiff, SDVariable... inputs) {
super(null, sameDiff, inputs);
}
public MergeMax(){ }
@Override
public String opName() {
return "mergemax";
}
@Override
public List calculateOutputShape() {
List ret = new ArrayList<>(1);
ret.add(arg().getShape());
return ret;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
// no-op
}
@Override
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map attributesForNode, OnnxProto3.GraphProto graph) {
super.initFromOnnx(node, initWith, attributesForNode, graph);
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op opName found for " + opName());
}
@Override
public String tensorflowName() {
return "MergeMax";
}
@Override
public List doDiff(List i_v) {
SDVariable gradient = sameDiff.setupFunction(i_v.get(0));
List ret = new ArrayList<>();
SDVariable out = outputVariable();
for (int i = 0; i < args().length; i++){
SDVariable isMax = out.eq(arg(i));
ret.add(isMax.mul(gradient));
}
return ret;
}
}