Revert "Add option to use default signature for onnx models"

3 files changed, 6 insertions, 6 deletions

diff --git a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/IntermediateGraph.java b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/IntermediateGraph.java
index 16c1b913188..14aa3ebf84e 100644
--- a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/IntermediateGraph.java
+++ b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/IntermediateGraph.java
@@ -58,7 +58,7 @@ public class IntermediateGraph {
         return signatures.computeIfAbsent(signature, (k) -> new GraphSignature()).outputs;
     }
 
-    public static String defaultSignature() {
+    public String defaultSignature() {
         return "default";
     }
 
diff --git a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/onnx/GraphImporter.java b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/onnx/GraphImporter.java
index 75ed19c010c..d42338deaf8 100644
--- a/model-integration/src/main/java/ai/vespa/rankingexpression/importer/onnx/GraphImporter.java
+++ b/model-integration/src/main/java/ai/vespa/rankingexpression/importer/onnx/GraphImporter.java
@@ -151,7 +151,7 @@ class GraphImporter {
             OrderedTensorType type = TypeConverter.typeFrom(valueInfoProto.getType());
             operation = new Argument(intermediateGraph.name(), valueInfoProto.getName(), type);
 
-            intermediateGraph.inputs(IntermediateGraph.defaultSignature())
+            intermediateGraph.inputs(intermediateGraph.defaultSignature())
                     .put(IntermediateOperation.namePartOf(name), operation.vespaName());
 
         } else if (isConstantTensor(name, onnxGraph)) {
@@ -171,7 +171,7 @@ class GraphImporter {
             }
 
             if (isOutputNode(name, onnxGraph)) {
-                intermediateGraph.outputs(IntermediateGraph.defaultSignature())
+                intermediateGraph.outputs(intermediateGraph.defaultSignature())
                         .put(IntermediateOperation.namePartOf(name), operation.name());
             }
         }
@@ -238,7 +238,7 @@ class GraphImporter {
     }
 
     private static void verifyNoWarnings(IntermediateGraph intermediateGraph) {
-        for (java.util.Map.Entry<String, String> output : intermediateGraph.outputs(IntermediateGraph.defaultSignature()).entrySet()) {
+        for (java.util.Map.Entry<String, String> output : intermediateGraph.outputs(intermediateGraph.defaultSignature()).entrySet()) {
             IntermediateOperation operation = intermediateGraph.get(output.getValue());
             Set<String> warnings = getWarnings(operation);
             if (warnings.size() > 0) {
@@ -248,7 +248,7 @@ class GraphImporter {
     }
 
     private static void verifyOutputTypes(Onnx.GraphProto onnxGraph, IntermediateGraph intermediateGraph) {
-        for (java.util.Map.Entry<String, String> output : intermediateGraph.outputs(IntermediateGraph.defaultSignature()).entrySet()) {
+        for (java.util.Map.Entry<String, String> output : intermediateGraph.outputs(intermediateGraph.defaultSignature()).entrySet()) {
             IntermediateOperation operation = intermediateGraph.get(output.getValue());
             Onnx.ValueInfoProto onnxNode = getOutputNode(output.getKey(), onnxGraph);
             OrderedTensorType type = operation.type().orElseThrow(
diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxOperationsTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxOperationsTestCase.java
index 9927f4df04f..6954abe5157 100644
--- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxOperationsTestCase.java
+++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxOperationsTestCase.java
@@ -391,7 +391,7 @@ public class OnnxOperationsTestCase {
     private TensorFunction optimizeAndRename(String opName, IntermediateOperation op) {
         IntermediateGraph graph = new IntermediateGraph(modelName);
         graph.put(opName, op);
-        graph.outputs(IntermediateGraph.defaultSignature()).put(opName, opName);
+        graph.outputs(graph.defaultSignature()).put(opName, opName);
         graph.optimize();
         return op.function().get();
     }