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1 /* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 #include "tensorflow_lite_support/cc/text/tokenizers/tokenizer_utils.h"
17 
18 #include "absl/status/status.h"
19 #include "tensorflow_lite_support/cc/common.h"
20 #include "tensorflow_lite_support/cc/port/status_macros.h"
21 #include "tensorflow_lite_support/cc/text/tokenizers/regex_tokenizer.h"
22 #include "tensorflow_lite_support/metadata/metadata_schema_generated.h"
23 #include "utils/bert_tokenizer.h"
24 
25 namespace tflite {
26 namespace support {
27 namespace text {
28 namespace tokenizer {
29 
30 using ::tflite::SentencePieceTokenizerOptions;
31 using ::tflite::support::CreateStatusWithPayload;
32 using ::tflite::support::StatusOr;
33 using ::tflite::support::TfLiteSupportStatus;
34 
35 namespace {
36 
CheckAndLoadFirstAssociatedFile(const flatbuffers::Vector<flatbuffers::Offset<tflite::AssociatedFile>> * associated_files,const tflite::metadata::ModelMetadataExtractor * metadata_extractor)37 StatusOr<absl::string_view> CheckAndLoadFirstAssociatedFile(
38     const flatbuffers::Vector<flatbuffers::Offset<tflite::AssociatedFile>>*
39         associated_files,
40     const tflite::metadata::ModelMetadataExtractor* metadata_extractor) {
41   if (associated_files == nullptr || associated_files->size() < 1 ||
42       associated_files->Get(0)->name() == nullptr) {
43     return CreateStatusWithPayload(
44         absl::StatusCode::kInvalidArgument,
45         "Invalid vocab_file from input process unit.",
46         TfLiteSupportStatus::kMetadataInvalidTokenizerError);
47   }
48   ASSIGN_OR_RETURN(absl::string_view vocab_buffer,
49                    metadata_extractor->GetAssociatedFile(
50                        associated_files->Get(0)->name()->str()));
51   return vocab_buffer;
52 }
53 }  // namespace
54 
CreateTokenizerFromProcessUnit(const tflite::ProcessUnit * tokenizer_process_unit,const tflite::metadata::ModelMetadataExtractor * metadata_extractor)55 StatusOr<std::unique_ptr<Tokenizer>> CreateTokenizerFromProcessUnit(
56     const tflite::ProcessUnit* tokenizer_process_unit,
57     const tflite::metadata::ModelMetadataExtractor* metadata_extractor) {
58   if (metadata_extractor == nullptr || tokenizer_process_unit == nullptr) {
59     return CreateStatusWithPayload(
60         absl::StatusCode::kInvalidArgument,
61         "No metadata or input process unit found.",
62         TfLiteSupportStatus::kMetadataInvalidTokenizerError);
63   }
64   switch (tokenizer_process_unit->options_type()) {
65     case ProcessUnitOptions_BertTokenizerOptions: {
66       const tflite::BertTokenizerOptions* options =
67           tokenizer_process_unit->options_as<tflite::BertTokenizerOptions>();
68       ASSIGN_OR_RETURN(absl::string_view vocab_buffer,
69                        CheckAndLoadFirstAssociatedFile(options->vocab_file(),
70                                                        metadata_extractor));
71       return absl::make_unique<libtextclassifier3::BertTokenizer>(
72           vocab_buffer.data(), vocab_buffer.size());
73     }
74     case ProcessUnitOptions_RegexTokenizerOptions: {
75       const tflite::RegexTokenizerOptions* options =
76           tokenizer_process_unit->options_as<RegexTokenizerOptions>();
77       ASSIGN_OR_RETURN(absl::string_view vocab_buffer,
78                        CheckAndLoadFirstAssociatedFile(options->vocab_file(),
79                                                        metadata_extractor));
80       if (options->delim_regex_pattern() == nullptr) {
81         return CreateStatusWithPayload(
82             absl::StatusCode::kInvalidArgument,
83             "Invalid delim_regex_pattern from input process unit.",
84             TfLiteSupportStatus::kMetadataInvalidTokenizerError);
85       }
86 
87       std::unique_ptr<RegexTokenizer> regex_tokenizer =
88           absl::make_unique<RegexTokenizer>(
89               options->delim_regex_pattern()->str(), vocab_buffer.data(),
90               vocab_buffer.size());
91 
92       int unknown_token_id = 0;
93       if (!regex_tokenizer->GetUnknownToken(&unknown_token_id)) {
94         return CreateStatusWithPayload(
95             absl::StatusCode::kInvalidArgument,
96             "RegexTokenizer doesn't have <UNKNOWN> token.",
97             TfLiteSupportStatus::kMetadataInvalidTokenizerError);
98       }
99 
100       int pad_token_id = 0;
101       if (!regex_tokenizer->GetPadToken(&pad_token_id)) {
102         return CreateStatusWithPayload(
103             absl::StatusCode::kInvalidArgument,
104             "RegexTokenizer doesn't have <PAD> token.",
105             TfLiteSupportStatus::kMetadataInvalidTokenizerError);
106       }
107 
108       return regex_tokenizer;
109     }
110     default:
111       return CreateStatusWithPayload(
112           absl::StatusCode::kNotFound,
113           absl::StrCat("Incorrect options_type:",
114                        tokenizer_process_unit->options_type()),
115           TfLiteSupportStatus::kMetadataInvalidTokenizerError);
116   }
117 }
118 
119 }  // namespace tokenizer
120 }  // namespace text
121 }  // namespace support
122 }  // namespace tflite
123 
124