Rename the 'searchdefinition' package to 'schema'

1 files changed, 0 insertions, 66 deletions

diff --git a/config-model/src/main/java/com/yahoo/searchdefinition/expressiontransforms/TensorFlowFeatureConverter.java b/config-model/src/main/java/com/yahoo/searchdefinition/expressiontransforms/TensorFlowFeatureConverter.java
deleted file mode 100644
index 7b165d94cae..00000000000
--- a/config-model/src/main/java/com/yahoo/searchdefinition/expressiontransforms/TensorFlowFeatureConverter.java
+++ /dev/null
@@ -1,66 +0,0 @@
-// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-package com.yahoo.searchdefinition.expressiontransforms;
-
-import com.yahoo.path.Path;
-import com.yahoo.searchlib.rankingexpression.rule.Arguments;
-import com.yahoo.searchlib.rankingexpression.rule.CompositeNode;
-import com.yahoo.searchlib.rankingexpression.rule.ExpressionNode;
-import com.yahoo.searchlib.rankingexpression.rule.ReferenceNode;
-import com.yahoo.searchlib.rankingexpression.transform.ExpressionTransformer;
-import com.yahoo.vespa.model.ml.ConvertedModel;
-import com.yahoo.vespa.model.ml.FeatureArguments;
-
-import java.io.UncheckedIOException;
-import java.util.HashMap;
-import java.util.Map;
-
-/**
- * Replaces instances of the tensorflow(model-path, signature, output)
- * pseudofeature with the native Vespa ranking expression implementing
- * the same computation.
- *
- * @author bratseth
- */
-public class TensorFlowFeatureConverter extends ExpressionTransformer<RankProfileTransformContext>  {
-
-    /** A cache of imported models indexed by model path. This avoids importing the same model multiple times. */
-    private final Map<Path, ConvertedModel> convertedTensorFlowModels = new HashMap<>();
-
-    public TensorFlowFeatureConverter() {}
-
-    @Override
-    public ExpressionNode transform(ExpressionNode node, RankProfileTransformContext context) {
-        if (node instanceof ReferenceNode)
-            return transformFeature((ReferenceNode) node, context);
-        else if (node instanceof CompositeNode)
-            return super.transformChildren((CompositeNode) node, context);
-        else
-            return node;
-    }
-
-    private ExpressionNode transformFeature(ReferenceNode feature, RankProfileTransformContext context) {
-        if ( ! feature.getName().equals("tensorflow")) return feature;
-
-        try {
-            FeatureArguments arguments = asFeatureArguments(feature.getArguments());
-            ConvertedModel convertedModel =
-                    convertedTensorFlowModels.computeIfAbsent(arguments.path(),
-                                                              path -> ConvertedModel.fromSourceOrStore(path, false, context));
-            return convertedModel.expression(arguments, context);
-        }
-        catch (IllegalArgumentException | UncheckedIOException e) {
-            throw new IllegalArgumentException("Could not use tensorflow model from " + feature, e);
-        }
-    }
-
-    private FeatureArguments asFeatureArguments(Arguments arguments) {
-        if (arguments.isEmpty())
-            throw new IllegalArgumentException("A tensorflow node must take an argument pointing to " +
-                                               "the tensorflow model directory under [application]/models");
-        if (arguments.expressions().size() > 3)
-            throw new IllegalArgumentException("A tensorflow feature can have at most 3 arguments");
-
-        return new FeatureArguments(arguments);
-    }
-
-}