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-rw-r--r--config-model/src/main/java/com/yahoo/searchdefinition/MapEvaluationTypeContext.java27
1 files changed, 0 insertions, 27 deletions
diff --git a/config-model/src/main/java/com/yahoo/searchdefinition/MapEvaluationTypeContext.java b/config-model/src/main/java/com/yahoo/searchdefinition/MapEvaluationTypeContext.java
index b153ff62e7d..4011ce43841 100644
--- a/config-model/src/main/java/com/yahoo/searchdefinition/MapEvaluationTypeContext.java
+++ b/config-model/src/main/java/com/yahoo/searchdefinition/MapEvaluationTypeContext.java
@@ -1,7 +1,6 @@
// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchdefinition;
-import com.yahoo.searchdefinition.expressiontransforms.OnnxModelTransformer;
import com.yahoo.searchlib.rankingexpression.ExpressionFunction;
import com.yahoo.searchlib.rankingexpression.RankingExpression;
import com.yahoo.searchlib.rankingexpression.Reference;
@@ -159,12 +158,6 @@ public class MapEvaluationTypeContext extends FunctionReferenceContext implement
return function.get().getBody().type(this.withBindings(bind(function.get().arguments(), reference.arguments())));
}
- // A reference to an ONNX model?
- Optional<TensorType> onnxFeatureType = onnxFeatureType(reference);
- if (onnxFeatureType.isPresent()) {
- return onnxFeatureType.get();
- }
-
// A reference to a feature which returns a tensor?
Optional<TensorType> featureTensorType = tensorFeatureType(reference);
if (featureTensorType.isPresent()) {
@@ -217,26 +210,6 @@ public class MapEvaluationTypeContext extends FunctionReferenceContext implement
return Optional.of(function);
}
- private Optional<TensorType> onnxFeatureType(Reference reference) {
- if ( ! reference.name().equals("onnxModel"))
- return Optional.empty();
-
- if ( ! featureTypes.containsKey(reference)) {
- String configOrFileName = reference.arguments().expressions().get(0).toString();
-
- // Look up standardized format as added in RankProfile
- String modelConfigName = OnnxModelTransformer.getModelConfigName(reference);
- String modelOutput = OnnxModelTransformer.getModelOutput(reference, null);
-
- reference = new Reference("onnxModel", new Arguments(new ReferenceNode(modelConfigName)), modelOutput);
- if ( ! featureTypes.containsKey(reference)) {
- throw new IllegalArgumentException("Missing onnx-model config for '" + configOrFileName + "'");
- }
- }
-
- return Optional.of(featureTypes.get(reference));
- }
-
/**
* There are two features which returns the (non-empty) tensor type: tensorFromLabels and tensorFromWeightedSet.
* This returns the type of those features if this is a reference to either of them, or empty otherwise.