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// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchlib.rankingexpression.integration.tensorflow;
import com.yahoo.searchlib.rankingexpression.RankingExpression;
import com.yahoo.tensor.TensorType;
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("src/test/files/integration/tensorflow/dropout/saved");
// Check required macros
assertEquals(1, model.get().requiredMacros().size());
assertTrue(model.get().requiredMacros().containsKey("X"));
assertEquals(new TensorType.Builder().indexed("d0").indexed("d1", 784).build(),
model.get().requiredMacros().get("X"));
TensorFlowModel.Signature signature = model.get().signature("serving_default");
assertEquals("Has skipped outputs",
0, model.get().signature("serving_default").skippedOutputs().size());
RankingExpression output = signature.outputExpression("y");
assertNotNull(output);
assertEquals("outputs/BiasAdd", output.getName());
assertEquals("join(reduce(join(tf_macro_X, constant(\"outputs_kernel_read\"), f(a,b)(a * b)), sum, d2), constant(\"outputs_bias_read\"), f(a,b)(a + b))",
output.getRoot().toString());
model.assertEqualResult("X", output.getName());
}
}
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