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authorJon Bratseth <bratseth@oath.com>2020-01-07 07:14:25 +0100
committerGitHub <noreply@github.com>2020-01-07 07:14:25 +0100
commit58ee6c6e9c9a07a3d18742da766740dc1f5d9a32 (patch)
tree7f648aa11be60f2862d2e700a009c07c40ee42ee /vespajlib
parent271799b1457b1413076a05c60518b56184162f7f (diff)
parente36af0b3a78fb8fc76c50eeb8392ef09e7c46ebb (diff)
Merge pull request #11641 from vespa-engine/bratseth/require-equal-sizes-in-join
Require equal sizes in join
Diffstat (limited to 'vespajlib')
-rw-r--r--vespajlib/abi-spec.json1
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/TensorType.java24
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java11
-rw-r--r--vespajlib/src/test/java/com/yahoo/tensor/TensorTestCase.java6
4 files changed, 27 insertions, 15 deletions
diff --git a/vespajlib/abi-spec.json b/vespajlib/abi-spec.json
index f631b3e1c58..d0c1abe061a 100644
--- a/vespajlib/abi-spec.json
+++ b/vespajlib/abi-spec.json
@@ -1278,6 +1278,7 @@
"public void <init>()",
"public void <init>(com.yahoo.tensor.TensorType$Value)",
"public varargs void <init>(com.yahoo.tensor.TensorType[])",
+ "public varargs void <init>(boolean, com.yahoo.tensor.TensorType[])",
"public void <init>(java.lang.Iterable)",
"public void <init>(com.yahoo.tensor.TensorType$Value, java.lang.Iterable)",
"public int rank()",
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
index aeed8c33093..d8959147ee0 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
@@ -323,7 +323,7 @@ public class TensorType {
* [N] + [] = []
* [] + {} = {}
*/
- Dimension combineWith(Optional<Dimension> other) {
+ Dimension combineWith(Optional<Dimension> other, boolean allowDifferentSizes) {
if ( ! other.isPresent()) return this;
if (this instanceof MappedDimension) return this;
if (other.get() instanceof MappedDimension) return other.get();
@@ -333,7 +333,11 @@ public class TensorType {
// both are indexed bound
IndexedBoundDimension thisIb = (IndexedBoundDimension)this;
IndexedBoundDimension otherIb = (IndexedBoundDimension)other.get();
- return thisIb.size().get() < otherIb.size().get() ? thisIb : otherIb;
+ if (allowDifferentSizes)
+ return thisIb.size().get() < otherIb.size().get() ? thisIb : otherIb;
+ if ( ! thisIb.size().equals(otherIb.size()))
+ throw new IllegalArgumentException("Unequal dimension sizes in " + thisIb + " and " + otherIb);
+ return thisIb;
}
@Override
@@ -494,9 +498,13 @@ public class TensorType {
* The value type will be the largest of the value types of the input types
*/
public Builder(TensorType ... types) {
+ this(true, types);
+ }
+
+ public Builder(boolean allowDifferentSizes, TensorType ... types) {
this.valueType = TensorType.combinedValueType(types);
for (TensorType type : types)
- addDimensionsOf(type);
+ addDimensionsOf(type, allowDifferentSizes);
}
/** Creates a builder from the given dimensions, having double as the value type */
@@ -514,17 +522,17 @@ public class TensorType {
private static final boolean supportsMixedTypes = false;
- private void addDimensionsOf(TensorType type) {
+ private void addDimensionsOf(TensorType type, boolean allowDifferentSizes) {
if ( ! supportsMixedTypes) { // TODO: Support it
- addDimensionsOfAndDisallowMixedDimensions(type);
+ addDimensionsOfAndDisallowMixedDimensions(type, allowDifferentSizes);
}
else {
for (Dimension dimension : type.dimensions)
- set(dimension.combineWith(Optional.ofNullable(dimensions.get(dimension.name()))));
+ set(dimension.combineWith(Optional.ofNullable(dimensions.get(dimension.name())), allowDifferentSizes));
}
}
- private void addDimensionsOfAndDisallowMixedDimensions(TensorType type) {
+ private void addDimensionsOfAndDisallowMixedDimensions(TensorType type, boolean allowDifferentSizes) {
boolean containsMapped = dimensions.values().stream().anyMatch(d -> ! d.isIndexed());
containsMapped = containsMapped || type.dimensions().stream().anyMatch(d -> ! d.isIndexed());
@@ -532,7 +540,7 @@ public class TensorType {
if (containsMapped)
dimension = new MappedDimension(dimension.name());
Dimension existing = dimensions.get(dimension.name());
- set(dimension.combineWith(Optional.ofNullable(existing)));
+ set(dimension.combineWith(Optional.ofNullable(existing), allowDifferentSizes));
}
}
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
index 1e0eaa7fad3..5419d04a4fb 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
@@ -48,7 +48,12 @@ public class Join<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETYP
/** Returns the type resulting from applying Join to the two given types */
public static TensorType outputType(TensorType a, TensorType b) {
- return new TensorType.Builder(a, b).build();
+ try {
+ return new TensorType.Builder(false, a, b).build();
+ }
+ catch (IllegalArgumentException e) {
+ throw new IllegalArgumentException("Can not join " + a + " and " + b, e);
+ }
}
public DoubleBinaryOperator combinator() { return combinator; }
@@ -75,14 +80,14 @@ public class Join<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETYP
@Override
public TensorType type(TypeContext<NAMETYPE> context) {
- return new TensorType.Builder(argumentA.type(context), argumentB.type(context)).build();
+ return outputType(argumentA.type(context), argumentB.type(context));
}
@Override
public Tensor evaluate(EvaluationContext<NAMETYPE> context) {
Tensor a = argumentA.evaluate(context);
Tensor b = argumentB.evaluate(context);
- TensorType joinedType = new TensorType.Builder(a.type(), b.type()).build();
+ TensorType joinedType = outputType(a.type(), b.type());
return evaluate(a, b, joinedType, combinator);
}
diff --git a/vespajlib/src/test/java/com/yahoo/tensor/TensorTestCase.java b/vespajlib/src/test/java/com/yahoo/tensor/TensorTestCase.java
index b1851b5f120..5bd1bbdba37 100644
--- a/vespajlib/src/test/java/com/yahoo/tensor/TensorTestCase.java
+++ b/vespajlib/src/test/java/com/yahoo/tensor/TensorTestCase.java
@@ -130,13 +130,11 @@ public class TensorTestCase {
assertEquals("Mapped vector", 42, (int)dotProduct(vector(Type.mapped), vectors(Type.mapped, 2)));
assertEquals("Indexed unbound vector", 42, (int)dotProduct(vector(3, Type.indexedUnbound), vectors(5, Type.indexedUnbound, 2)));
assertEquals("Indexed unbound vector", 42, (int)dotProduct(vector(5, Type.indexedUnbound), vectors(3, Type.indexedUnbound, 2)));
- assertEquals("Indexed bound vector", 42, (int)dotProduct(vector(3, Type.indexedBound), vectors(5, Type.indexedBound, 2)));
- assertEquals("Indexed bound vector", 42, (int)dotProduct(vector(5, Type.indexedBound), vectors(3, Type.indexedBound, 2)));
+ assertEquals("Indexed bound vector", 42, (int)dotProduct(vector(3, Type.indexedBound), vectors(3, Type.indexedBound, 2)));
assertEquals("Mapped matrix", 42, (int)dotProduct(vector(Type.mapped), matrix(Type.mapped, 2)));
assertEquals("Indexed unbound matrix", 42, (int)dotProduct(vector(3, Type.indexedUnbound), matrix(5, Type.indexedUnbound, 2)));
assertEquals("Indexed unbound matrix", 42, (int)dotProduct(vector(5, Type.indexedUnbound), matrix(3, Type.indexedUnbound, 2)));
- assertEquals("Indexed bound matrix", 42, (int)dotProduct(vector(3, Type.indexedBound), matrix(5, Type.indexedBound, 2)));
- assertEquals("Indexed bound matrix", 42, (int)dotProduct(vector(5, Type.indexedBound), matrix(3, Type.indexedBound, 2)));
+ assertEquals("Indexed bound matrix", 42, (int)dotProduct(vector(3, Type.indexedBound), matrix(3, Type.indexedBound, 2)));
assertEquals("Mixed vector", 42, (int)dotProduct(vector(Type.mapped), vectors(Type.indexedUnbound, 2)));
assertEquals("Mixed vector", 42, (int)dotProduct(vector(Type.mapped), vectors(Type.indexedUnbound, 2)));
assertEquals("Mixed matrix", 42, (int)dotProduct(vector(Type.mapped), matrix(Type.indexedUnbound, 2)));