/* Copyright 2017 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. ==============================================================================*/ // Util methods to read and write String tensors. // String tensors are considered to be char tensor with protocol. // [0, 3] 4 bytes: N, num of strings in the tensor in little endian. // [(i+1)*4, (i+1)*4+3] 4 bytes: offset of i-th string in little endian, // for i from 0 to N-1. // [(N+1)*4, (N+1)*4+3] 4 bytes: length of the whole char buffer. // [offset(i), offset(i+1) - 1] : content of i-th string. // Example of a string tensor: // [ // 2, 0, 0, 0, # 2 strings. // 16, 0, 0, 0, # 0-th string starts from index 16. // 18, 0, 0, 0, # 1-st string starts from index 18. // 18, 0, 0, 0, # total length of array. // 'A', 'B', # 0-th string [16..17]: "AB" // ] # 1-th string, empty // // A typical usage: // In op.Eval(context, node): // DynamicBuffer buf; // # Add string "AB" to tensor, string is stored in dynamic buffer. // buf.AddString("AB", 2); // # Write content of DynamicBuffer to tensor in format of string tensor // # described above. // buf.WriteToTensor(tensor, nullptr) #ifndef TENSORFLOW_LITE_STRING_UTIL_H_ #define TENSORFLOW_LITE_STRING_UTIL_H_ #include <stddef.h> #include <vector> #include "tensorflow/compiler/mlir/lite/utils/string_utils.h" #include "tensorflow/lite/core/c/common.h" #include "tensorflow/lite/string_type.h" namespace tflite { GetString; GetStringCount; kDefaultMaxLength; StringRef; // DynamicBuffer holds temporary buffer that will be used to create a dynamic // tensor. A typical usage is to initialize a DynamicBuffer object, fill in // content and call CreateStringTensor in op.Eval(). class DynamicBuffer : public mlir::TFL::SimpleDynamicBuffer { … }; // Return num of strings in a String tensor. inline int GetStringCount(const TfLiteTensor* tensor) { … } // Get String pointer and length of index-th string in tensor. // NOTE: This will not create a copy of string data. inline StringRef GetString(const TfLiteTensor* tensor, int string_index) { … } } // namespace tflite #endif // TENSORFLOW_LITE_STRING_UTIL_H_