org.nd4j.linalg.api.ops.impl.shape.MergeAvg 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 onnx.Onnx;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.base.Preconditions;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@Slf4j
public class MergeAvg extends DynamicCustomOp {
public MergeAvg(INDArray... inputs){
super(inputs, null);
}
public MergeAvg(SameDiff sameDiff, SDVariable... inputs) {
super(null, sameDiff, inputs);
}
public MergeAvg(){ }
@Override
public String opName() {
return "mergeavg";
}
/*
@Override
public List calculateOutputShape() {
List ret = new ArrayList<>(1);
ret.add(LongShapeDescriptor.fromShape(arg().getShape(), Nd4j.defaultFloatintPointType()));
return ret;
}
*/
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
// no-op
}
@Override
public void initFromOnnx(Onnx.NodeProto node, SameDiff initWith, Map attributesForNode, Onnx.GraphProto graph) {
super.initFromOnnx(node, initWith, attributesForNode, graph);
}
@Override
public List doDiff(List i_v) {
int nArgs = args().length;
SDVariable gradient = sameDiff.setupFunction(i_v.get(0)).div(nArgs);
List ret = new ArrayList<>();
for (int i = 0; i < args().length; i++)
ret.add(gradient);
return ret;
}
@Override
public List calculateOutputDataTypes(List dataTypes){
DataType first = dataTypes.get(0);
for( int i=1; i