bert_preprocessor.h | Explore in Territory

/* Copyright 2021 The TensorFlow Authors. All Rights Reserved.

Licensed 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_SUPPORT_CC_TASK_PROCESSOR_BERT_PREPROCESOR_H_
#define TENSORFLOW_LITE_SUPPORT_CC_TASK_PROCESSOR_BERT_PREPROCESOR_H_

#include "absl/status/status.h"  // from @com_google_absl
#include "tensorflow_lite_support/cc/port/statusor.h"
#include "tensorflow_lite_support/cc/task/processor/text_preprocessor.h"
#include "tensorflow_lite_support/cc/text/tokenizers/tokenizer.h"

namespace tflite {
namespace task {
namespace processor {

// Processes input text and populates the associated bert input tensors.
// Requirements for the input tensors:
//   Exactly 3 int32 input tensors of type, kTfLiteInt32: contains respectively
//   the ids, segment ids and mask. A WordPiece or Sentencepiece Tokenizer needs
//   to be setup in the subgraph's metadata.
//
// Utils to help locate the 3 input tensors for models conforming to certain
// metadata requirements are available in:
// https://github.com/tensorflow/tflite-support/tree/master/tensorflow_lite_support/cc/task/text/utils/bert_utils.h
class BertPreprocessor : public TextPreprocessor { … };

}  // namespace processor
}  // namespace task
}  // namespace tflite

#endif  // TENSORFLOW_LITE_SUPPORT_CC_TASK_PROCESSOR_BERT_PREPROCESOR_H_
chromium/third_party/tflite_support/src/tensorflow_lite_support/cc/task/processor/bert_preprocessor.h
