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-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java24
1 files changed, 13 insertions, 11 deletions
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
index 3478061b32c..a365f0f4bdc 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
@@ -1,38 +1,40 @@
// Copyright 2017 Yahoo Holdings. 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.evaluation.Name;
+
import java.util.Collections;
import java.util.List;
/**
* @author bratseth
*/
-public class Argmax extends CompositeTensorFunction {
+public class Argmax<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYPE> {
- private final TensorFunction argument;
+ private final TensorFunction<NAMETYPE> argument;
private final String dimension;
- public Argmax(TensorFunction argument, String dimension) {
+ public Argmax(TensorFunction<NAMETYPE> argument, String dimension) {
this.argument = argument;
this.dimension = dimension;
}
@Override
- public List<TensorFunction> arguments() { return Collections.singletonList(argument); }
+ public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
@Override
- public TensorFunction withArguments(List<TensorFunction> arguments) {
+ public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
if ( arguments.size() != 1)
throw new IllegalArgumentException("Argmax must have 1 argument, got " + arguments.size());
- return new Argmax(arguments.get(0), dimension);
+ return new Argmax<>(arguments.get(0), dimension);
}
@Override
- public PrimitiveTensorFunction toPrimitive() {
- TensorFunction primitiveArgument = argument.toPrimitive();
- return new Join(primitiveArgument,
- new Reduce(primitiveArgument, Reduce.Aggregator.max, dimension),
- ScalarFunctions.equal());
+ public PrimitiveTensorFunction<NAMETYPE> toPrimitive() {
+ TensorFunction<NAMETYPE> primitiveArgument = argument.toPrimitive();
+ return new Join<>(primitiveArgument,
+ new Reduce<>(primitiveArgument, Reduce.Aggregator.max, dimension),
+ ScalarFunctions.equal());
}
@Override