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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.document.update;
import com.yahoo.document.DataType;
import com.yahoo.document.TensorDataType;
import com.yahoo.document.datatypes.FieldValue;
import com.yahoo.document.datatypes.TensorFieldValue;
import com.yahoo.document.serialization.DocumentUpdateWriter;
import com.yahoo.tensor.MixedTensor;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorAddress;
import com.yahoo.tensor.TensorType;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Objects;
import java.util.Optional;
import java.util.function.DoubleBinaryOperator;
/*
* An update for the subset of the cells in a tensor.
*
* The cells to update are contained as entries of the sparse dimension(s) of the tensor.
*/
public class TensorModifyUpdate extends ValueUpdate<TensorFieldValue> {
protected Operation operation;
protected TensorFieldValue tensor;
protected boolean createNonExistingCells;
public TensorModifyUpdate(Operation operation, TensorFieldValue tensor) {
this(operation, tensor, false);
}
public TensorModifyUpdate(Operation operation, TensorFieldValue tensor, boolean createNonExistingCells) {
super(ValueUpdateClassID.TENSORMODIFY);
this.operation = operation;
this.tensor = tensor;
this.createNonExistingCells = createNonExistingCells;
verifyCompatibleType(tensor.getDataType().getTensorType());
}
private void verifyCompatibleType(TensorType type) {
if (type.dimensions().stream().anyMatch(dim -> dim.isIndexed()) ) {
throw new IllegalArgumentException("Tensor type '" + type + "' is not compatible as it has no mapped dimensions");
}
}
/**
* Converts the given tensor type to a type that is compatible for being used in this update (has only mapped dimensions).
*/
public static TensorType convertDimensionsToMapped(TensorType type) {
TensorType.Builder builder = new TensorType.Builder(type.valueType());
type.dimensions().stream().forEach(dim -> builder.mapped(dim.name()));
return builder.build();
}
public Operation getOperation() { return operation; }
public TensorFieldValue getValue() { return tensor; }
public boolean getCreateNonExistingCells() { return createNonExistingCells; }
public double getDefaultCellValue() {
return (operation == Operation.MULTIPLY) ? 1.0 : 0.0;
}
public void setValue(TensorFieldValue value) { tensor = value; }
@Override
public FieldValue applyTo(FieldValue oldValue) {
if (oldValue instanceof TensorFieldValue) {
Tensor oldTensor = ((TensorFieldValue)oldValue).getTensor().orElseThrow(
() -> new IllegalArgumentException("No existing tensor to apply update on"));
if (tensor.getTensor().isPresent()) {
DoubleBinaryOperator modifier;
switch (operation) {
case REPLACE: modifier = (left, right) -> right; break;
case ADD: modifier = (left, right) -> left + right; break;
case MULTIPLY: modifier = (left, right) -> left * right; break;
default:
throw new UnsupportedOperationException("Unknown operation: " + operation);
}
if (createNonExistingCells && hasMappedSubtype(oldTensor.type())) {
var subspaces = findSubspacesNotInInput(oldTensor, tensor.getTensor().get());
if (!subspaces.isEmpty()) {
oldTensor = insertSubspaces(oldTensor, subspaces, getDefaultCellValue());
}
}
Tensor modified = oldTensor.modify(modifier, tensor.getTensor().get().cells());
return new TensorFieldValue(modified);
}
} else {
throw new IllegalStateException("Cannot use tensor modify update on non-tensor datatype "+oldValue.getClass().getName());
}
return oldValue;
}
private static boolean hasMappedSubtype(TensorType type) {
return !type.mappedSubtype().equals(TensorType.empty);
}
private static boolean hasIndexedSubtype(TensorType type) {
return !type.indexedSubtype().equals(TensorType.empty);
}
private static HashSet<TensorAddress> findSubspacesNotInInput(Tensor input, Tensor modifier) {
var subspaces = new HashSet<TensorAddress>();
var inputCells = input.cells();
var type = input.type();
for (var itr = modifier.cellIterator(); itr.hasNext(); ) {
Tensor.Cell cell = itr.next();
TensorAddress address = cell.getKey();
if (!inputCells.containsKey(address)) {
subspaces.add(createSparsePartAddress(address, type));
}
}
return subspaces;
}
private static TensorAddress createSparsePartAddress(TensorAddress address, TensorType type) {
var builder = new TensorAddress.Builder(type.mappedSubtype());
for (int i = 0; i < type.dimensions().size(); ++i) {
var dim = type.dimensions().get(i);
if (dim.isMapped()) {
builder.add(dim.name(), address.label(i));
}
}
return builder.build();
}
private static Tensor insertSubspaces(Tensor input, HashSet<TensorAddress> subspaces, double defaultCellValue) {
var type = input.type();
boolean mixed = hasMappedSubtype(type) && hasIndexedSubtype(type);
Tensor.Builder builder;
if (mixed) {
var boundBuilder = MixedTensor.BoundBuilder.of(type);
var values = new double[(int) boundBuilder.denseSubspaceSize()];
Arrays.fill(values, defaultCellValue);
for (var subspace : subspaces) {
boundBuilder.block(subspace, values);
}
builder = boundBuilder;
} else {
builder = Tensor.Builder.of(type);
for (var subspace : subspaces) {
builder.cell(subspace, defaultCellValue);
}
}
for (var itr = input.cellIterator(); itr.hasNext(); ) {
builder.cell(itr.next());
}
return builder.build();
}
@Override
protected void checkCompatibility(DataType fieldType) {
if (!(fieldType instanceof TensorDataType)) {
throw new UnsupportedOperationException("Expected tensor type, got " + fieldType.getName() + ".");
}
}
@Override
public void serialize(DocumentUpdateWriter data, DataType superType) {
data.write(this);
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
if (!super.equals(o)) return false;
TensorModifyUpdate that = (TensorModifyUpdate) o;
return operation == that.operation &&
tensor.equals(that.tensor) &&
createNonExistingCells == that.createNonExistingCells;
}
@Override
public int hashCode() {
return Objects.hash(super.hashCode(), operation, tensor, createNonExistingCells);
}
@Override
public String toString() {
return super.toString() + " " + operation.name + " " + tensor + " " + createNonExistingCells;
}
/**
* Lists valid operations that can be performed by a TensorModifyUpdate.
*/
public enum Operation {
/**
* Replace tensor cell values with values from matching update tensor cells.
*/
REPLACE(0, "replace"),
/**
* Add values from matching update tensor cells to target tensor cells.
*/
ADD(1, "add"),
/**
* Multiply values from matching update tensor cells with target tensor cells.
*/
MULTIPLY(2, "multiply");
/**
* The numeric ID of the operator, used for serialization.
*/
public final int id;
/**
* The name of the operator, mainly used in toString() methods.
*/
public final String name;
Operation(int id, String name) {
this.id = id;
this.name = name;
}
public static Operation getOperation(int id) {
for (Operation operation : Operation.values()) {
if (operation.id == id) {
return operation;
}
}
return null;
}
}
}
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