org.nd4j.linalg.api.ops.custom.LinearSolve Maven / Gradle / Ivy
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* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * Unless required by applicable law or agreed to in writing, software
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.custom;
import lombok.NoArgsConstructor;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.common.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.tensorflow.framework.AttrValue;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.NodeDef;
import java.util.Collections;
import java.util.List;
import java.util.Map;
@NoArgsConstructor
public class LinearSolve extends DynamicCustomOp {
public LinearSolve(INDArray a, INDArray b, boolean adjoint) {
addInputArgument(a, b);
addBArgument(adjoint);
}
public LinearSolve(INDArray a, INDArray b) {
this(a,b,false);
}
public LinearSolve(SameDiff sameDiff, SDVariable a, SDVariable b, SDVariable adjoint) {
super(sameDiff, new SDVariable[] {a, b, adjoint});
}
public LinearSolve(SameDiff sameDiff, SDVariable a, SDVariable b, boolean adjoint) {
super(sameDiff, new SDVariable[] {a, b});
addBArgument(adjoint);
}
@Override
public String opName() {
return "solve";
}
@Override
public String tensorflowName() {
return "MatrixSolve";
}
@Override
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map attributesForNode, GraphDef graph) {
boolean adjoint = attributesForNode.containsKey("adjoint") ? attributesForNode.get("adjoint").getB() : false;
addBArgument(adjoint);
}
@Override
public List calculateOutputDataTypes(List dataTypes) {
int n = args().length;
Preconditions.checkState(dataTypes != null && dataTypes.size() == n, "Expected %s input data types for %s, got %s", n, getClass(), dataTypes);
return Collections.singletonList(dataTypes.get(0));
}
}