com.yahoo.vespa.model.container.component.BertEmbedder Maven / Gradle / Ivy
// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.vespa.model.container.component;
import com.yahoo.config.ModelReference;
import com.yahoo.config.model.api.OnnxModelOptions;
import com.yahoo.config.model.deploy.DeployState;
import com.yahoo.embedding.BertBaseEmbedderConfig;
import com.yahoo.vespa.model.container.ApplicationContainerCluster;
import org.w3c.dom.Element;
import java.util.Set;
import static com.yahoo.embedding.BertBaseEmbedderConfig.OnnxExecutionMode;
import static com.yahoo.embedding.BertBaseEmbedderConfig.PoolingStrategy;
import static com.yahoo.text.XML.getChildValue;
import static com.yahoo.vespa.model.container.ContainerModelEvaluation.INTEGRATION_BUNDLE_NAME;
import static com.yahoo.vespa.model.container.xml.ModelIdResolver.BERT_VOCAB;
import static com.yahoo.vespa.model.container.xml.ModelIdResolver.ONNX_MODEL;
/**
* @author bjorncs
*/
public class BertEmbedder extends TypedComponent implements BertBaseEmbedderConfig.Producer {
private final OnnxModelOptions onnxModelOptions;
private final ModelReference modelRef;
private final ModelReference vocabRef;
private final Integer maxTokens;
private final String transformerInputIds;
private final String transformerAttentionMask;
private final String transformerTokenTypeIds;
private final String transformerOutput;
private final Integer transformerStartSequenceToken;
private final Integer transformerEndSequenceToken;
private final String poolingStrategy;
public BertEmbedder(ApplicationContainerCluster cluster, Element xml, DeployState state) {
super("ai.vespa.embedding.BertBaseEmbedder", INTEGRATION_BUNDLE_NAME, xml);
var model = Model.fromXml(state, xml, "transformer-model", Set.of(ONNX_MODEL)).orElseThrow();
this.onnxModelOptions = new OnnxModelOptions(
getChildValue(xml, "onnx-execution-mode"),
getChildValue(xml, "onnx-interop-threads").map(Integer::parseInt),
getChildValue(xml, "onnx-intraop-threads").map(Integer::parseInt),
getChildValue(xml, "onnx-gpu-device").map(Integer::parseInt).map(OnnxModelOptions.GpuDevice::new));
modelRef = model.modelReference();
vocabRef = Model.fromXml(state, xml, "tokenizer-vocab", Set.of(BERT_VOCAB)).orElseThrow().modelReference();
maxTokens = getChildValue(xml, "max-tokens").map(Integer::parseInt).orElse(null);
transformerInputIds = getChildValue(xml, "transformer-input-ids").orElse(null);
transformerAttentionMask = getChildValue(xml, "transformer-attention-mask").orElse(null);
transformerTokenTypeIds = getChildValue(xml, "transformer-token-type-ids").orElse(null);
transformerOutput = getChildValue(xml, "transformer-output").orElse(null);
transformerStartSequenceToken = getChildValue(xml, "transformer-start-sequence-token").map(Integer::parseInt).orElse(null);
transformerEndSequenceToken = getChildValue(xml, "transformer-end-sequence-token").map(Integer::parseInt).orElse(null);
poolingStrategy = getChildValue(xml, "pooling-strategy").orElse(null);
model.registerOnnxModelCost(cluster, onnxModelOptions);
}
@Override
public void getConfig(BertBaseEmbedderConfig.Builder b) {
b.transformerModel(modelRef).tokenizerVocab(vocabRef);
if (maxTokens != null) b.transformerMaxTokens(maxTokens);
if (transformerInputIds != null) b.transformerInputIds(transformerInputIds);
if (transformerAttentionMask != null) b.transformerAttentionMask(transformerAttentionMask);
if (transformerTokenTypeIds != null) b.transformerTokenTypeIds(transformerTokenTypeIds);
if (transformerOutput != null) b.transformerOutput(transformerOutput);
if (transformerStartSequenceToken != null) b.transformerStartSequenceToken(transformerStartSequenceToken);
if (transformerEndSequenceToken != null) b.transformerEndSequenceToken(transformerEndSequenceToken);
if (poolingStrategy != null) b.poolingStrategy(PoolingStrategy.Enum.valueOf(poolingStrategy));
onnxModelOptions.executionMode().ifPresent(value -> b.onnxExecutionMode(OnnxExecutionMode.Enum.valueOf(value)));
onnxModelOptions.interOpThreads().ifPresent(b::onnxInterOpThreads);
onnxModelOptions.intraOpThreads().ifPresent(b::onnxIntraOpThreads);
onnxModelOptions.gpuDevice().ifPresent(value -> b.onnxGpuDevice(value.deviceNumber()));
}
}
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