1 files changed, 0 insertions, 73 deletions
diff --git a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/TensorFlowMnistSoftmaxImportTestCase.java b/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/TensorFlowMnistSoftmaxImportTestCase.java
deleted file mode 100644
index 50e24f20972..00000000000
--- a/model-integration/src/test/java/ai/vespa/rankingexpression/importer/tensorflow/TensorFlowMnistSoftmaxImportTestCase.java
+++ /dev/null
@@ -1,73 +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 com.yahoo.tensor.Tensor;
-import com.yahoo.tensor.TensorType;
-import org.junit.Assert;
-import org.junit.Test;
-
-import static org.junit.Assert.assertEquals;
-import static org.junit.Assert.assertNotNull;
-import static org.junit.Assert.assertTrue;
-
-/**
- * @author bratseth
- */
-public class TensorFlowMnistSoftmaxImportTestCase {
-
-    @Test
-    public void testMnistSoftmaxImport() {
-        TestableTensorFlowModel model = new TestableTensorFlowModel("test", "src/test/models/tensorflow/mnist_softmax/saved");
-
-        // Check constants
-        Assert.assertEquals(2, model.get().largeConstants().size());
-
-        Tensor constant0 = Tensor.from(model.get().largeConstants().get("test_Variable_read"));
-        assertNotNull(constant0);
-        assertEquals(new TensorType.Builder().indexed("d2", 784).indexed("d1", 10).build(),
-                     constant0.type());
-        assertEquals(7840, constant0.size());
-
-        Tensor constant1 = Tensor.from(model.get().largeConstants().get("test_Variable_1_read"));
-        assertNotNull(constant1);
-        assertEquals(new TensorType.Builder().indexed("d1", 10).build(),
-                     constant1.type());
-        assertEquals(10, constant1.size());
-
-        // Check (provided) functions
-        Assert.assertEquals(0, model.get().functions().size());
-
-        // Check required functions
-        Assert.assertEquals(1, model.get().inputs().size());
-        assertTrue(model.get().inputs().containsKey("Placeholder"));
-        Assert.assertEquals(new TensorType.Builder().indexed("d0").indexed("d1", 784).build(),
-                            model.get().inputs().get("Placeholder"));
-
-        // Check signatures
-        Assert.assertEquals(1, model.get().signatures().size());
-        ImportedModel.Signature signature = model.get().signatures().get("serving_default");
-        assertNotNull(signature);
-
-        // ... signature inputs
-        assertEquals(1, signature.inputs().size());
-        TensorType argument0 = signature.inputArgument("x");
-        assertNotNull(argument0);
-        assertEquals(new TensorType.Builder().indexed("d0").indexed("d1", 784).build(), argument0);
-
-        // ... signature outputs
-        assertEquals(1, signature.outputs().size());
-        ImportedMlFunction output = signature.outputFunction("y", "y");
-        assertNotNull(output);
-        assertEquals("join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(test_Variable_read), f(a,b)(a * b)), sum, d2), constant(test_Variable_1_read), f(a,b)(a + b))",
-                     output.expression());
-        assertEquals("{Placeholder=tensor(d0[],d1[784])}", output.argumentTypes().toString());
-
-        // Test execution
-        model.assertEqualResult("Placeholder", "MatMul");
-        model.assertEqualResult("Placeholder", "add");
-    }
-
-}