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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespa.model.ml;
import ai.vespa.modelintegration.evaluator.OnnxRuntime;
import ai.vespa.models.evaluation.FunctionEvaluator;
import ai.vespa.models.evaluation.Model;
import ai.vespa.models.evaluation.ModelsEvaluator;
import com.yahoo.component.ComponentId;
import com.yahoo.config.application.api.ApplicationPackage;
import com.yahoo.config.model.deploy.DeployState;
import com.yahoo.config.model.deploy.TestProperties;
import com.yahoo.config.model.provision.InMemoryProvisioner;
import com.yahoo.config.provision.NodeResources;
import com.yahoo.filedistribution.fileacquirer.FileAcquirer;
import com.yahoo.filedistribution.fileacquirer.MockFileAcquirer;
import com.yahoo.io.IOUtils;
import com.yahoo.path.Path;
import com.yahoo.tensor.Tensor;
import com.yahoo.vespa.config.search.RankProfilesConfig;
import com.yahoo.vespa.config.search.core.OnnxModelsConfig;
import com.yahoo.vespa.config.search.core.RankingConstantsConfig;
import com.yahoo.vespa.config.search.core.RankingExpressionsConfig;
import com.yahoo.vespa.model.VespaModel;
import com.yahoo.vespa.model.container.ApplicationContainerCluster;
import org.junit.jupiter.api.Test;
import java.io.File;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assumptions.assumeTrue;
/**
* Tests stateless model evaluation (turned on by the "model-evaluation" tag in "container")
* for ONNX models.
*
* @author lesters
*/
public class StatelessOnnxEvaluationTest {
@Test
void testStatelessOnnxModelNameCollision() {
assumeTrue(OnnxRuntime.isRuntimeAvailable());
Path appDir = Path.fromString("src/test/cfg/application/onnx_name_collision");
try {
ImportedModelTester tester = new ImportedModelTester("onnx", appDir);
VespaModel model = tester.createVespaModel();
ApplicationContainerCluster cluster = model.getContainerClusters().get("container");
RankProfilesConfig.Builder b = new RankProfilesConfig.Builder();
cluster.getConfig(b);
RankProfilesConfig config = new RankProfilesConfig(b);
assertEquals(2, config.rankprofile().size());
Set<String> modelNames = config.rankprofile().stream().map(v -> v.name()).collect(Collectors.toSet());
assertTrue(modelNames.contains("foobar"));
assertTrue(modelNames.contains("barfoo"));
} finally {
IOUtils.recursiveDeleteDir(appDir.append(ApplicationPackage.MODELS_GENERATED_DIR).toFile());
}
}
@Test
void testStatelessOnnxModelEvaluation() throws Exception {
assumeTrue(OnnxRuntime.isRuntimeAvailable());
Path appDir = Path.fromString("src/test/cfg/application/onnx");
Path storedAppDir = appDir.append("copy");
try {
ImportedModelTester tester = new ImportedModelTester("onnx_rt", appDir, new DeployState.Builder());
assertModelEvaluation(tester.createVespaModel(), appDir, false);
// At this point the expression is stored - copy application to another location which does not have a models dir
storedAppDir.toFile().mkdirs();
IOUtils.copy(appDir.append("services.xml").toString(), storedAppDir.append("services.xml").toString());
IOUtils.copyDirectory(appDir.append(ApplicationPackage.MODELS_GENERATED_DIR).toFile(),
storedAppDir.append(ApplicationPackage.MODELS_GENERATED_DIR).toFile());
IOUtils.copyDirectory(appDir.append(ApplicationPackage.SCHEMAS_DIR).toFile(),
storedAppDir.append(ApplicationPackage.SCHEMAS_DIR).toFile());
ImportedModelTester storedTester = new ImportedModelTester("onnx_rt", storedAppDir);
assertModelEvaluation(storedTester.createVespaModel(), appDir, false);
} finally {
IOUtils.recursiveDeleteDir(appDir.append(ApplicationPackage.MODELS_GENERATED_DIR).toFile());
IOUtils.recursiveDeleteDir(storedAppDir.toFile());
}
}
@Test
void testStatelessOnnxModelEvaluationWithGpu() {
assumeTrue(OnnxRuntime.isRuntimeAvailable());
NodeResources resources = new NodeResources(4, 16, 125, 10,
NodeResources.DiskSpeed.fast, NodeResources.StorageType.local,
NodeResources.Architecture.x86_64,
new NodeResources.GpuResources(1, 16));
InMemoryProvisioner provisioner = new InMemoryProvisioner(6, resources, false);
DeployState.Builder deployStateBuilder = new DeployState.Builder().modelHostProvisioner(provisioner)
.properties(new TestProperties().setMultitenant(true).setHostedVespa(true));
Path appDir = Path.fromString("src/test/cfg/application/onnx");
try {
ImportedModelTester tester = new ImportedModelTester("onnx_rt", appDir, deployStateBuilder);
assertModelEvaluation(tester.createVespaModel(), appDir, true);
} finally {
IOUtils.recursiveDeleteDir(appDir.append(ApplicationPackage.MODELS_GENERATED_DIR).toFile());
}
}
private void assertModelEvaluation(VespaModel model, Path appDir, boolean shouldRequireGpu) {
ApplicationContainerCluster cluster = model.getContainerClusters().get("container");
assertNotNull(cluster.getComponentsMap().get(new ComponentId(ModelsEvaluator.class.getName())));
RankProfilesConfig.Builder b = new RankProfilesConfig.Builder();
cluster.getConfig(b);
RankProfilesConfig config = new RankProfilesConfig(b);
RankingConstantsConfig.Builder cb = new RankingConstantsConfig.Builder();
cluster.getConfig(cb);
RankingConstantsConfig constantsConfig = new RankingConstantsConfig(cb);
RankingExpressionsConfig.Builder ce = new RankingExpressionsConfig.Builder();
cluster.getConfig(ce);
RankingExpressionsConfig expressionsConfig = ce.build();
OnnxModelsConfig.Builder ob = new OnnxModelsConfig.Builder();
cluster.getConfig(ob);
OnnxModelsConfig onnxModelsConfig = new OnnxModelsConfig(ob);
assertEquals(1, config.rankprofile().size());
Set<String> modelNames = config.rankprofile().stream().map(v -> v.name()).collect(Collectors.toSet());
assertTrue(modelNames.contains("mul"));
OnnxModelsConfig.Model mulModel = onnxModelsConfig.model().get(0);
assertEquals(2, mulModel.stateless_intraop_threads());
assertEquals(-1, mulModel.stateless_interop_threads());
assertEquals("", mulModel.stateless_execution_mode());
assertEquals(shouldRequireGpu, mulModel.gpu_device_required());
assertEquals(0, mulModel.gpu_device());
// This is actually how ModelsEvaluator is injected
Map<String, File> fileMap = new HashMap<>();
for (OnnxModelsConfig.Model onnxModel : onnxModelsConfig.model()) {
fileMap.put(onnxModel.fileref().value(), appDir.append(onnxModel.fileref().value()).toFile());
}
FileAcquirer fileAcquirer = MockFileAcquirer.returnFiles(fileMap);
try {
ModelsEvaluator modelsEvaluator = new ModelsEvaluator(config, constantsConfig, expressionsConfig, onnxModelsConfig, fileAcquirer);
assertEquals(1, modelsEvaluator.models().size());
Model mul = modelsEvaluator.models().get("mul");
FunctionEvaluator evaluator = mul.evaluatorOf(); // or "default.output" - or actually use name of model output
Tensor input1 = Tensor.from("tensor<float>(d0[1]):[2]");
Tensor input2 = Tensor.from("tensor<float>(d0[1]):[3]");
Tensor output = evaluator.bind("input1", input1).bind("input2", input2).evaluate();
assertEquals(6.0, output.sum().asDouble(), 1e-9);
} catch (IllegalArgumentException e) {
boolean gotWantedException = false;
for (Throwable cause = e; shouldRequireGpu && cause != null; cause = cause.getCause()) {
if (cause.getMessage().equals("GPU device is required, but CUDA initialization failed")) {
gotWantedException = true;
break;
}
}
if (!gotWantedException) {
throw e;
}
}
}
}
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