org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.MergeAddOp Maven / Gradle / Ivy
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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.transforms.pairwise.arithmetic;
import lombok.NonNull;
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.impl.transforms.BaseDynamicTransformOp;
import org.nd4j.linalg.api.shape.Shape;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/**
* Addition operation for n operands, called "mergeadd" in libnd4j
*
* @author Max Pumperla
*/
public class MergeAddOp extends BaseDynamicTransformOp {
public MergeAddOp() {}
public MergeAddOp(SameDiff sameDiff, SDVariable[] args, boolean inPlace) {
super(sameDiff, args, inPlace);
}
public MergeAddOp(@NonNull INDArray... inputs){
this(inputs, null);
}
public MergeAddOp(INDArray[] inputs, INDArray[] outputs) {
super(inputs, outputs);
}
@Override
public String opName() {
return "mergeadd";
}
@Override
public String onnxName() {
return "mergeadd";
}
@Override
public String[] tensorflowNames(){
return new String[]{"add_n", "AccumulateNV2"};
}
@Override
public List doDiff(List i_v) {
SDVariable gradient = sameDiff.setupFunction(i_v.get(0));
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