Merge pull request #27544 from vespa-engine/arnej/add-euclidean-distance

add euclidean_distance

1 files changed, 54 insertions, 0 deletions

diff --git a/vespajlib/src/test/java/com/yahoo/tensor/functions/EuclideanDistanceTestCase.java b/vespajlib/src/test/java/com/yahoo/tensor/functions/EuclideanDistanceTestCase.java
new file mode 100644
index 00000000000..4fae432b3ca
--- /dev/null
+++ b/vespajlib/src/test/java/com/yahoo/tensor/functions/EuclideanDistanceTestCase.java
@@ -0,0 +1,54 @@
+// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+package com.yahoo.tensor.functions;
+
+import com.yahoo.tensor.Tensor;
+import com.yahoo.tensor.TensorType;
+import com.yahoo.tensor.evaluation.VariableTensor;
+import org.junit.Test;
+
+import java.util.List;
+
+import static org.junit.Assert.assertEquals;
+
+/**
+ * @author arnej
+ */
+public class EuclideanDistanceTestCase {
+
+    @Test
+    public void testVectorDistances() {
+        var a = Tensor.from("tensor(x[3]):[1.0, 2.0, 3.0]");
+        var b = Tensor.from("tensor(x[3]):[4.0, 2.0, 7.0]");
+        var c = Tensor.from("tensor(x[3]):[1.0, 6.0, 6.0]");
+        var op = new EuclideanDistance<>(new ConstantTensor<>(a), new ConstantTensor<>(b), "x");
+        Tensor result = op.evaluate();
+        assertEquals(5.0, result.asDouble(), 0.000001);
+        op = new EuclideanDistance<>(new ConstantTensor<>(b), new ConstantTensor<>(a), "x");
+        result = op.evaluate();
+        assertEquals(5.0, result.asDouble(), 0.000001);
+        op = new EuclideanDistance<>(new ConstantTensor<>(c), new ConstantTensor<>(a), "x");
+        result = op.evaluate();
+        assertEquals(5.0, result.asDouble(), 0.000001);
+    }
+
+    @Test
+    public void testDistancesInMixed() {
+        var a = Tensor.from("tensor(c{},x[3]):{foo:[1.0, 2.0, 3.0],bar:[0.0, 0.0, 0.0]}");
+        var b = Tensor.from("tensor(c{},x[3]):{foo:[4.0, 2.0, 7.0],bar:[12.0, 0.0, 5.0]}");
+        var op = new EuclideanDistance<>(new ConstantTensor<>(a), new ConstantTensor<>(b), "x");
+        Tensor result = op.evaluate();
+        var expect = Tensor.from("tensor(c{}):{foo:5.0,bar:13.0}");
+        assertEquals(expect, result);
+    }
+
+    @Test
+    public void testExpansion() {
+        var tType = TensorType.fromSpec("tensor(vecdim[128])");
+        var a = new VariableTensor<>("left", tType);
+        var b = new VariableTensor<>("right", tType);
+        var op = new EuclideanDistance<>(a, b, "vecdim");
+        assertEquals("map(reduce(map(join(left, right, f(a,b)(a - b)), f(a)(a * a)), sum, vecdim), f(a)(sqrt(a)))",
+                     op.toPrimitive().toString());
+    }
+
+}