1 files changed, 0 insertions, 43 deletions
diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java
deleted file mode 100644
index e75c7fd4da3..00000000000
--- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/BatchNormImportTestCase.java
+++ /dev/null
@@ -1,43 +0,0 @@
-// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-package ai.vespa.rankingexpression.importer.tensorflow;
-
-import ai.vespa.rankingexpression.importer.configmodelview.ImportedMlFunction;
-import com.yahoo.searchlib.rankingexpression.ExpressionFunction;
-import ai.vespa.rankingexpression.importer.ImportedModel;
-import org.junit.Test;
-
-import java.util.List;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertNotNull;
-
-/**
- * @author lesters
- */
-public class BatchNormImportTestCase {
-
-    @Test
-    public void testBatchNormImport() {
-        TestableTensorFlowModel model = new TestableTensorFlowModel("test",
-                                                                    "src/test/models/tensorflow/batch_norm/saved");
-        ImportedModel.Signature signature = model.get().signature("serving_default");
-
-        assertEquals("Should have no skipped outputs",
-                     0, model.get().signature("serving_default").skippedOutputs().size());
-
-
-        // Test signature
-        ImportedMlFunction function = signature.outputFunction("y", "y");
-        assertNotNull(function);
-        assertEquals("{X=tensor(d0[],d1[784])}", function.argumentTypes().toString());
-
-        // Test outputs
-        List<ImportedMlFunction> outputs = model.get().outputExpressions();
-        assertEquals(1, outputs.size());
-        assertEquals("serving_default.y", outputs.get(0).name());
-        assertEquals("{X=tensor(d0[],d1[784])}", function.argumentTypes().toString());
-        model.assertEqualResult("X", "dnn/batch_normalization_3/batchnorm/add_1");
-    }
-
-
-}