1 /* 2 * Copyright (C) 2017 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #include "common/embedding-feature-extractor.h" 18 19 #include <stddef.h> 20 21 #include <vector> 22 23 #include "common/feature-extractor.h" 24 #include "common/feature-types.h" 25 #include "common/task-context.h" 26 #include "util/base/integral_types.h" 27 #include "util/base/logging.h" 28 #include "util/strings/numbers.h" 29 #include "util/strings/split.h" 30 31 namespace libtextclassifier { 32 namespace nlp_core { 33 34 bool GenericEmbeddingFeatureExtractor::Init(TaskContext *context) { 35 // Don't use version to determine how to get feature FML. 36 const std::string features = context->Get(GetParamName("features"), ""); 37 TC_LOG(INFO) << "Features: " << features; 38 39 const std::string embedding_names = 40 context->Get(GetParamName("embedding_names"), ""); 41 TC_LOG(INFO) << "Embedding names: " << embedding_names; 42 43 const std::string embedding_dims = 44 context->Get(GetParamName("embedding_dims"), ""); 45 TC_LOG(INFO) << "Embedding dims: " << embedding_dims; 46 47 embedding_fml_ = strings::Split(features, ';'); 48 embedding_names_ = strings::Split(embedding_names, ';'); 49 for (const std::string &dim : strings::Split(embedding_dims, ';')) { 50 int32 parsed_dim = 0; 51 if (!ParseInt32(dim.c_str(), &parsed_dim)) { 52 TC_LOG(ERROR) << "Unable to parse dim " << dim; 53 return false; 54 } 55 embedding_dims_.push_back(parsed_dim); 56 } 57 if ((embedding_fml_.size() != embedding_names_.size()) || 58 (embedding_fml_.size() != embedding_dims_.size())) { 59 TC_LOG(ERROR) << "Mismatch: #fml specs = " << embedding_fml_.size() 60 << "; #names = " << embedding_names_.size() 61 << "; #dims = " << embedding_dims_.size(); 62 return false; 63 } 64 return true; 65 } 66 67 } // namespace nlp_core 68 } // namespace libtextclassifier 69
