org.nd4j.linalg.api.ops.impl.controlflow.compat.Merge 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
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package org.nd4j.linalg.api.ops.impl.controlflow.compat;
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.ops.Op;
import org.nd4j.linalg.api.ops.Op.Type;
import org.nd4j.linalg.api.shape.LongShapeDescriptor;
import org.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class Merge extends BaseCompatOp {
public Merge(SameDiff sd, SDVariable[] inputs){
super(sd, inputs);
}
public Merge(){
}
/**
* WARNING: do not change without changing serialization methods
* See {@link org.nd4j.autodiff.samediff.serde.FlatBuffersMapper#getOpNum(String, Type)}
* and {@link org.nd4j.imports.converters.DifferentialFunctionClassHolder#customOpClassForHashAndName(long, String)}
*/
public static final String OP_NAME = "merge";
public static final int OP_NUM = 60;
public Merge(SameDiff sd, SDVariable a, SDVariable b){
this(sd, new SDVariable[]{a, b});
}
@Override
public String opName() {
return OP_NAME;
}
@Override
public long opHash() {
return 60L;
}
@Override
public SDVariable[] outputVariables() {
return super.outputVariables();
}
@Override
public String tensorflowName() {
return "Merge";
}
@Override
public Op.Type opType() {
return Type.LOGIC;
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
super.initFromTensorFlow(nodeDef, initWith, attributesForNode, graph);
}
@Override
public int getNumOutputs(){
return 1;
}
@Override
public List calculateOutputDataTypes(List inputDataTypes){
Preconditions.checkState(inputDataTypes != null && inputDataTypes.size() == 2, "Expected 2 input dataypes for %s, got %s", getClass(), inputDataTypes);
Preconditions.checkState(inputDataTypes.get(0) == inputDataTypes.get(1), "Input datatypes must be the same for %s, got %s", getClass(), inputDataTypes);
return Collections.singletonList(inputDataTypes.get(0));
}
}