1 files changed, 0 insertions, 43 deletions
diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxMnistSoftmaxImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxMnistSoftmaxImportTestCase.java
index 35c853bd746..09455abc380 100644
--- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxMnistSoftmaxImportTestCase.java
+++ b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/onnx/OnnxMnistSoftmaxImportTestCase.java
@@ -55,47 +55,4 @@ public class OnnxMnistSoftmaxImportTestCase {
         assertEquals("{Placeholder=tensor<float>(d0[],d1[784])}", output.argumentTypes().toString());
     }
 
-    @Test
-    public void testComparisonBetweenOnnxAndTensorflow() {
-        String tfModelPath = "src/test/models/tensorflow/mnist_softmax/saved";
-        String onnxModelPath = "src/test/models/onnx/mnist_softmax/mnist_softmax.onnx";
-
-        Tensor argument = placeholderArgument();
-        Tensor tensorFlowResult = evaluateTensorFlowModel(tfModelPath, argument, "Placeholder", "add");
-        Tensor onnxResult = evaluateOnnxModel(onnxModelPath, argument, "Placeholder", "add");
-
-        assertEquals("Operation 'add' produces equal results", tensorFlowResult, onnxResult);
-    }
-
-    private Tensor evaluateTensorFlowModel(String path, Tensor argument, String input, String output) {
-        ImportedModel model = new TensorFlowImporter().importModel("test", path);
-        return evaluateExpression(model.expressions().get(output), contextFrom(model), argument, input);
-    }
-
-    private Tensor evaluateOnnxModel(String path, Tensor argument, String input, String output) {
-        ImportedModel model = new OnnxImporter().importModel("test", path);
-        return evaluateExpression(model.expressions().get(output), contextFrom(model), argument, input);
-    }
-
-    private Tensor evaluateExpression(RankingExpression expression, Context context, Tensor argument, String input) {
-        context.put(input, new TensorValue(argument));
-        return expression.evaluate(context).asTensor();
-    }
-
-    private Context contextFrom(ImportedModel result) {
-        MapContext context = new MapContext();
-        result.largeConstants().forEach((name, tensor) -> context.put("constant(" + name + ")", new TensorValue(Tensor.from(tensor))));
-        result.smallConstants().forEach((name, tensor) -> context.put("constant(" + name + ")", new TensorValue(Tensor.from(tensor))));
-        return context;
-    }
-
-    private Tensor placeholderArgument() {
-        Tensor.Builder b = Tensor.Builder.of(new TensorType.Builder().indexed("d0", 1).indexed("d1", 784).build());
-        for (int d0 = 0; d0 < 1; d0++)
-            for (int d1 = 0; d1 < 784; d1++)
-                b.cell(d1 * 1.0 / 784, d0, d1);
-        return b.build();
-    }
-
-
 }