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// Copyright 2019 Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.application.container;
import com.yahoo.application.Application;
import com.yahoo.application.Networking;
import com.yahoo.application.container.handler.Request;
import com.yahoo.application.container.handler.Response;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import com.yahoo.test.json.JsonTestHelper;
import org.junit.Ignore;
import org.junit.Test;
import java.io.File;
import java.net.URLEncoder;
import java.nio.charset.CharacterCodingException;
import java.nio.charset.StandardCharsets;
import static org.junit.Assert.assertEquals;
/**
* Verify that we can create a JDisc (and hence Application) instance capable of doing model evaluation
*
* @author bratseth
*/
public class ContainerModelEvaluationTest {
@Test
@Ignore // This should ideally work but may not be worth the effort
public void testCreateJDiscInstanceWithModelEvaluation() {
try (JDisc jdisc =
JDisc.fromPath(new File("src/test/app-packages/model-evaluation").toPath(),
Networking.disable)) {
assertLoadedModels(jdisc);
}
}
@Test
public void testCreateApplicationInstanceWithModelEvaluation() {
try (Application application =
Application.fromApplicationPackage(new File("src/test/app-packages/model-evaluation"),
Networking.disable)) {
assertLoadedModels(application.getJDisc("default"));
}
}
private void assertLoadedModels(JDisc jdisc) {
{
String expected = "{\"xgboost_xgboost_2_2\":\"http://localhost/model-evaluation/v1/xgboost_xgboost_2_2\",\"onnx_mnist_softmax\":\"http://localhost/model-evaluation/v1/onnx_mnist_softmax\",\"tensorflow_mnist_softmax_saved\":\"http://localhost/model-evaluation/v1/tensorflow_mnist_softmax_saved\",\"tensorflow_mnist_saved\":\"http://localhost/model-evaluation/v1/tensorflow_mnist_saved\",\"vespa_example\":\"http://localhost/model-evaluation/v1/vespa_example\"}";
assertResponse("http://localhost/model-evaluation/v1", expected, jdisc);
}
{
String expected = "{\"cells\":[{\"address\":{},\"value\":-8.17695}]}";
assertResponse("http://localhost/model-evaluation/v1/xgboost_xgboost_2_2/eval", expected, jdisc);
}
{
// Note: The specific response value here has not been verified
String expected = "{\"cells\":[{\"address\":{\"d0\":\"0\",\"d1\":\"0\"},\"value\":-0.5066885003407351},{\"address\":{\"d0\":\"0\",\"d1\":\"1\"},\"value\":0.3912837743150205},{\"address\":{\"d0\":\"0\",\"d1\":\"2\"},\"value\":-0.12401806321703948},{\"address\":{\"d0\":\"0\",\"d1\":\"3\"},\"value\":-0.7019029168606575},{\"address\":{\"d0\":\"0\",\"d1\":\"4\"},\"value\":0.13120114146441697},{\"address\":{\"d0\":\"0\",\"d1\":\"5\"},\"value\":0.6611923203384626},{\"address\":{\"d0\":\"0\",\"d1\":\"6\"},\"value\":-0.22365810810026446},{\"address\":{\"d0\":\"0\",\"d1\":\"7\"},\"value\":-0.0740018307465809},{\"address\":{\"d0\":\"0\",\"d1\":\"8\"},\"value\":0.056492490256153896},{\"address\":{\"d0\":\"0\",\"d1\":\"9\"},\"value\":-0.18422015072393733}]}";
assertResponse("http://localhost/model-evaluation/v1/tensorflow_mnist_saved/serving_default.y/eval?input=" + inputTensor(), expected, jdisc);
}
}
private void assertResponse(String url, String expectedResponse, JDisc jdisc) {
try {
Response response = jdisc.handleRequest(new Request(url));
JsonTestHelper.assertJsonEquals(expectedResponse, response.getBodyAsString());
assertEquals(200, response.getStatus());
}
catch (CharacterCodingException e) {
throw new RuntimeException(e);
}
}
private String inputTensor() {
Tensor.Builder b = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[],d1[784])"));
for (int i = 0; i < 784; i++)
b.cell(0.0, 0, i);
return URLEncoder.encode(b.build().toString(), StandardCharsets.UTF_8);
}
}
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