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authorJon Bratseth <bratseth@verizonmedia.com>2019-11-27 17:55:01 +0200
committerJon Bratseth <bratseth@verizonmedia.com>2019-11-27 17:55:01 +0200
commitd3bb9e1b8f2b36688915fed559a1feac449216d7 (patch)
tree184df4eb34703bd0e2ff1ef7bdd8a593a555178e /vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java
parent9f1564bc8eb6568b54ed344a2c3201bfe634ac0e (diff)
Pull name up
Diffstat (limited to 'vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java')
-rw-r--r--vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java10
1 files changed, 5 insertions, 5 deletions
diff --git a/vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java b/vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java
index 3c07dd9e6d4..b3c6fbc6862 100644
--- a/vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java
+++ b/vespajlib/src/test/java/com/yahoo/tensor/TensorFunctionBenchmark.java
@@ -2,7 +2,7 @@
package com.yahoo.tensor;
import com.yahoo.tensor.evaluation.MapEvaluationContext;
-import com.yahoo.tensor.evaluation.TypeContext;
+import com.yahoo.tensor.evaluation.Name;
import com.yahoo.tensor.evaluation.VariableTensor;
import com.yahoo.tensor.functions.ConstantTensor;
import com.yahoo.tensor.functions.Join;
@@ -50,10 +50,10 @@ public class TensorFunctionBenchmark {
private double dotProduct(Tensor tensor, List<Tensor> tensors) {
double largest = Double.MIN_VALUE;
- TensorFunction<TypeContext.Name> dotProductFunction = new Reduce<>(new Join<>(new ConstantTensor<>(tensor),
- new VariableTensor<>("argument"), (a, b) -> a * b),
- Reduce.Aggregator.sum).toPrimitive();
- MapEvaluationContext<TypeContext.Name> context = new MapEvaluationContext<>();
+ TensorFunction<Name> dotProductFunction = new Reduce<>(new Join<>(new ConstantTensor<>(tensor),
+ new VariableTensor<>("argument"), (a, b) -> a * b),
+ Reduce.Aggregator.sum).toPrimitive();
+ MapEvaluationContext<Name> context = new MapEvaluationContext<>();
for (Tensor tensorElement : tensors) { // tensors.size() = 1 for larger tensor
context.put("argument", tensorElement);