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// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchlib.rankingexpression.integration.tensorflow.importer.operations;
import com.yahoo.searchlib.rankingexpression.integration.tensorflow.importer.DimensionRenamer;
import com.yahoo.searchlib.rankingexpression.integration.tensorflow.importer.OrderedTensorType;
import com.yahoo.tensor.TensorType;
import com.yahoo.tensor.functions.TensorFunction;
import org.tensorflow.framework.NodeDef;
import java.util.List;
import java.util.Optional;
public class Matmul extends TensorFlowOperation {
public Matmul(NodeDef node, List<TensorFlowOperation> inputs, int port) {
super(node, inputs, port);
}
@Override
protected OrderedTensorType lazyGetType() {
if (!allInputTypesPresent(2)) {
return null;
}
OrderedTensorType.Builder typeBuilder = new OrderedTensorType.Builder(node);
typeBuilder.add(inputs.get(0).type().get().dimensions().get(0));
typeBuilder.add(inputs.get(1).type().get().dimensions().get(1));
return typeBuilder.build();
}
@Override
protected TensorFunction lazyGetFunction() {
if (!allInputTypesPresent(2)) {
return null;
}
OrderedTensorType aType = inputs.get(0).type().get();
OrderedTensorType bType = inputs.get(1).type().get();
if (aType.type().rank() < 2 || bType.type().rank() < 2)
throw new IllegalArgumentException("Tensors in matmul must have rank of at least 2");
if (aType.type().rank() != bType.type().rank())
throw new IllegalArgumentException("Tensors in matmul must have the same rank");
Optional<TensorFunction> aFunction = inputs.get(0).function();
Optional<TensorFunction> bFunction = inputs.get(1).function();
if (!aFunction.isPresent() || !bFunction.isPresent()) {
return null;
}
return new com.yahoo.tensor.functions.Matmul(aFunction.get(), bFunction.get(), aType.dimensions().get(1).name());
}
@Override
public void addDimensionNameConstraints(DimensionRenamer renamer) {
if (!allInputTypesPresent(2)) {
return;
}
List<TensorType.Dimension> aDimensions = inputs.get(0).type().get().dimensions();
List<TensorType.Dimension> bDimensions = inputs.get(1).type().get().dimensions();
String aDim0 = aDimensions.get(0).name();
String aDim1 = aDimensions.get(1).name();
String bDim0 = bDimensions.get(0).name();
String bDim1 = bDimensions.get(1).name();
// The second dimension of a should have the same name as the first dimension of b
renamer.addConstraint(aDim1, bDim0, DimensionRenamer::equals, this);
// The first dimension of a should have a different name than the second dimension of b
renamer.addConstraint(aDim0, bDim1, DimensionRenamer::lesserThan, this);
// For efficiency, the dimensions to join over should be innermost - soft constraint
renamer.addConstraint(aDim0, aDim1, DimensionRenamer::lesserThan, this);
renamer.addConstraint(bDim0, bDim1, DimensionRenamer::greaterThan, this);
}
}
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