1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
|
// 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.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 lesters
*/
public class DropoutImportTestCase {
@Test
public void testDropoutImport() {
TestableTensorFlowModel model = new TestableTensorFlowModel("test", "src/test/models/tensorflow/dropout/saved");
// Check required functions
Assert.assertEquals(1, model.get().inputs().size());
assertTrue(model.get().inputs().containsKey("X"));
Assert.assertEquals(new TensorType.Builder().indexed("d0").indexed("d1", 784).build(),
model.get().inputs().get("X"));
ImportedModel.Signature signature = model.get().signature("serving_default");
Assert.assertEquals("Should have no skipped outputs",
0, model.get().signature("serving_default").skippedOutputs().size());
ImportedMlFunction function = signature.outputFunction("y", "y");
assertNotNull(function);
assertEquals("join(join(reduce(constant(test_outputs_Const), sum, d1), imported_ml_function_test_outputs_BiasAdd, f(a,b)(a * b)), imported_ml_function_test_outputs_BiasAdd, f(a,b)(max(a,b)))",
function.expression());
model.assertEqualResult("X", "outputs/Maximum");
assertEquals("{X=tensor(d0[],d1[784])}", function.argumentTypes().toString());
}
}
|
