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
Init(TaskContext * context)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