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// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor;
import com.google.common.annotations.Beta;
import com.google.common.collect.ImmutableList;
import java.util.Collection;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.stream.Collectors;
/**
* A tensor type with its dimensions. This is immutable.
* <p>
* A dimension can be indexed (bound or unbound) or mapped.
* Currently, we only support tensor types where all dimensions have the same type.
*
* @author geirst
*/
@Beta
public class TensorType {
public static abstract class Dimension {
public enum Type { indexedBound, indexedUnbound, mapped }
private final String name;
private Dimension(String name) { this.name = name; }
public final String name() { return name; }
/** Returns the size of this dimension if it is indexedUnbound, empty otherwise */
public abstract Optional<Integer> size();
public abstract Type type();
@Override
public abstract String toString();
}
public static class IndexedBoundDimension extends TensorType.Dimension {
private final Optional<Integer> size;
private IndexedBoundDimension(String name, int size) {
super(name);
if (size < 1)
throw new IllegalArgumentException("Size of bound dimension '" + name + "' must be at least 1");
this.size = Optional.of(size);
}
@Override
public Optional<Integer> size() { return size; }
@Override
public Type type() { return Type.indexedBound; }
@Override
public String toString() { return name() + "[" + size.get() + "]"; }
}
public static class IndexedUnboundDimension extends TensorType.Dimension {
private IndexedUnboundDimension(String name) {
super(name);
}
@Override
public Optional<Integer> size() { return Optional.empty(); }
@Override
public Type type() { return Type.indexedUnbound; }
@Override
public String toString() { return name() + "[]"; }
}
public static class MappedDimension extends TensorType.Dimension {
private MappedDimension(String name) {
super(name);
}
@Override
public Optional<Integer> size() { return Optional.empty(); }
@Override
public Type type() { return Type.mapped; }
@Override
public String toString() { return name() + "{}"; }
}
public static class Builder {
private final Map<String, Dimension> dimensions = new LinkedHashMap<>();
private Dimension prevDimension = null;
private Builder add(Dimension dimension) {
if (!dimensions.isEmpty()) {
validateDimensionName(dimension);
validateDimensionType(dimension);
}
dimensions.put(dimension.name(), dimension);
prevDimension = dimension;
return this;
}
private void validateDimensionName(Dimension newDimension) {
Dimension prevDimension = dimensions.get(newDimension.name());
if (prevDimension != null) {
throw new IllegalArgumentException("Expected all dimensions to have unique names, " +
"but '" + prevDimension + "' and '" + newDimension + "' have the same name");
}
}
private void validateDimensionType(Dimension newDimension) {
if (prevDimension.type() != newDimension.type()) {
throw new IllegalArgumentException("Expected all dimensions to have the same type, " +
"but '" + prevDimension + "' does not have the same type as '" + newDimension + "'");
}
}
public Builder indexedBound(String name, int size) {
return add(new IndexedBoundDimension(name, size));
}
public Builder indexedUnbound(String name) {
return add(new IndexedUnboundDimension(name));
}
public Builder mapped(String name) {
return add(new MappedDimension(name));
}
public TensorType build() {
return new TensorType(dimensions.values());
}
}
private final List<Dimension> dimensions;
private TensorType(Collection<Dimension> dimensions) {
this.dimensions = ImmutableList.copyOf(dimensions);
}
/**
* Returns a tensor type instance from a string on the format
* <code>tensor(dimension1, dimension2, ...)</code>
* where each dimension is either
* <ul>
* <li><code>dimension-name[]</code> - an unbound indexed dimension
* <li><code>dimension-name[int]</code> - an bound indexed dimension
* <li><code>dimension-name{}</code> - a mapped dimension
* </ul>
* Example: <code>tensor(x[10],y[20])</code> (a matrix)
*/
public static TensorType fromSpec(String specString) {
return TensorTypeParser.fromSpec(specString);
}
/** Returns an immutable list of the dimensions of this */
public List<Dimension> dimensions() { return dimensions; }
@Override
public String toString() {
return "tensor(" + dimensions.stream().map(Dimension::toString).collect(Collectors.joining(",")) + ")";
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
TensorType that = (TensorType) o;
if (!dimensions.equals(that.dimensions)) return false;
return true;
}
@Override
public int hashCode() {
return dimensions.hashCode();
}
}
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