| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package opennlp.dl.doccat; |
| |
| import java.io.File; |
| import java.nio.LongBuffer; |
| import java.util.HashMap; |
| import java.util.Map; |
| |
| import ai.onnxruntime.OnnxTensor; |
| |
| import opennlp.dl.Inference; |
| import opennlp.dl.InferenceOptions; |
| import opennlp.dl.Tokens; |
| |
| public class DocumentCategorizerInference extends Inference { |
| |
| private final Map<String, Integer> vocabulary; |
| |
| public DocumentCategorizerInference(File model, File vocab, InferenceOptions inferenceOptions) |
| throws Exception { |
| |
| super(model, vocab, inferenceOptions); |
| |
| this.vocabulary = loadVocab(vocab); |
| |
| } |
| |
| @Override |
| public Object infer(String text) throws Exception { |
| |
| final Tokens tokens = tokenize(text); |
| |
| final Map<String, OnnxTensor> inputs = new HashMap<>(); |
| inputs.put(INPUT_IDS, OnnxTensor.createTensor(env, |
| LongBuffer.wrap(tokens.getIds()), new long[]{1, tokens.getIds().length})); |
| |
| if (inferenceOptions.isIncludeAttentionMask()) { |
| inputs.put(ATTENTION_MASK, OnnxTensor.createTensor(env, |
| LongBuffer.wrap(tokens.getMask()), new long[] {1, tokens.getMask().length})); |
| } |
| |
| if (inferenceOptions.isIncludeTokenTypeIds()) { |
| inputs.put(TOKEN_TYPE_IDS, OnnxTensor.createTensor(env, |
| LongBuffer.wrap(tokens.getTypes()), new long[] {1, tokens.getTypes().length})); |
| } |
| |
| return session.run(inputs).get(0).getValue(); |
| |
| } |
| |
| } |