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/* 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.
==============================================================================*/
#include "tensorflow/contrib/lite/string_util.h"
#include <string.h>
#include <vector>
#include "tensorflow/contrib/lite/c/c_api_internal.h"
#include "tensorflow/contrib/lite/interpreter.h"
namespace tflite {
namespace {
// Convenient method to get pointer to int32_t.
const int32_t* GetIntPtr(const char* ptr) {
return reinterpret_cast<const int32_t*>(ptr);
}
} // namespace
void DynamicBuffer::AddString(const char* str, size_t len) {
data_.resize(data_.size() + len);
memcpy(data_.data() + offset_.back(), str, len);
offset_.push_back(offset_.back() + len);
}
void DynamicBuffer::AddString(const StringRef& string) {
AddString(string.str, string.len);
}
void DynamicBuffer::AddJoinedString(const std::vector<StringRef>& strings,
char separator) {
// Resize the data buffer.
int total_len = strings.size() - 1;
for (StringRef ref : strings) {
total_len += ref.len;
}
data_.resize(data_.size() + total_len);
int current_idx = 0;
for (StringRef ref : strings) {
char* dst = data_.data() + offset_.back() + current_idx;
// Fill separator if not first string.
if (current_idx != 0) {
*dst = separator;
++dst;
++current_idx;
}
// Fill content of the string.
memcpy(dst, ref.str, ref.len);
current_idx += ref.len;
}
offset_.push_back(offset_.back() + total_len);
}
int DynamicBuffer::WriteToBuffer(char** buffer) {
// Allocate sufficient memory to tensor buffer.
int32_t num_strings = offset_.size() - 1;
// Total bytes include:
// * size of content (data_.size)
// * offset of each tensor (sizeof(int32_t) * num_strings)
// * length of whole buffer (int32_t)
// * num of strings (int32_t).
int32_t bytes = data_.size() // size of content
+ sizeof(int32_t) * (num_strings + 2); // size of header
// Caller will take ownership of buffer.
*buffer = reinterpret_cast<char*>(malloc(bytes));
// Set num of string
memcpy(*buffer, &num_strings, sizeof(int32_t));
// Set offset of strings.
int32_t start = sizeof(int32_t) * (num_strings + 2);
for (int i = 0; i < offset_.size(); i++) {
int32_t offset = start + offset_[i];
memcpy(*buffer + sizeof(int32_t) * (i + 1), &offset, sizeof(int32_t));
}
// Copy data of strings.
memcpy(*buffer + start, data_.data(), data_.size());
return bytes;
}
void DynamicBuffer::WriteToTensor(TfLiteTensor* tensor) {
char* tensor_buffer;
int bytes = WriteToBuffer(&tensor_buffer);
// Set tensor content pointer to tensor_buffer, and release original data.
auto dims = TfLiteIntArrayCreate(1);
dims->data[0] = offset_.size() - 1; // Store number of strings.
TfLiteTensorReset(tensor->type, tensor->name, dims, tensor->params,
tensor_buffer, bytes, kTfLiteDynamic, tensor->allocation,
tensor->is_variable, tensor);
}
int GetStringCount(const char* raw_buffer) {
// The first integers in the raw buffer is the number of strings.
return *GetIntPtr(raw_buffer);
}
int GetStringCount(const TfLiteTensor* tensor) {
// The first integers in the raw buffer is the number of strings.
return GetStringCount(tensor->data.raw);
}
StringRef GetString(const char* raw_buffer, int string_index) {
const int32_t* offset =
GetIntPtr(raw_buffer + sizeof(int32_t) * (string_index + 1));
return {
raw_buffer + (*offset),
(*(offset + 1)) - (*offset),
};
}
StringRef GetString(const TfLiteTensor* tensor, int string_index) {
return GetString(tensor->data.raw, string_index);
}
} // namespace tflite
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