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99 lines
3.0 KiB
C++
99 lines
3.0 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/string_util.h"
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#include <stddef.h>
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#include <cstddef>
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#include <cstdlib>
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#include <cstring>
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#include <vector>
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#include "tensorflow/compiler/mlir/lite/utils/string_utils.h"
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#include "tensorflow/lite/core/c/c_api_types.h"
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#include "tensorflow/lite/core/c/common.h"
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namespace tflite {
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TfLiteStatus DynamicBuffer::AddString(const StringRef& string) {
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return AddString(string.str, string.len);
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}
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TfLiteStatus DynamicBuffer::AddString(const char* str, size_t len) {
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if (SimpleDynamicBuffer::AddString(str, len)) {
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return kTfLiteOk;
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}
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return kTfLiteError;
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}
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void DynamicBuffer::AddJoinedString(const std::vector<StringRef>& strings,
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char separator) {
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StringRef ref;
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ref.str = &separator;
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ref.len = 1;
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AddJoinedString(strings, ref);
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}
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void DynamicBuffer::AddJoinedString(const std::vector<StringRef>& strings,
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StringRef separator) {
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// Resize the data buffer.
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int total_len = (strings.size() - 1) * separator.len;
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for (StringRef ref : strings) {
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total_len += ref.len;
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}
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data_.resize(data_.size() + total_len);
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char* dst = data_.data() + offset_.back();
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for (size_t i = 0; i < strings.size(); ++i) {
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// Fill separator if not first string.
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if (i != 0) {
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memcpy(dst, separator.str, separator.len);
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dst += separator.len;
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}
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// Fill content of the string.
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memcpy(dst, strings[i].str, strings[i].len);
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dst += strings[i].len;
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}
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offset_.push_back(offset_.back() + total_len);
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}
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#ifndef TF_LITE_STATIC_MEMORY
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void DynamicBuffer::WriteToTensorAsVector(TfLiteTensor* tensor) {
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auto dims = TfLiteIntArrayCreate(1);
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dims->data[0] = offset_.size() - 1; // Store number of strings.
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WriteToTensor(tensor, dims);
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}
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void DynamicBuffer::WriteToTensor(TfLiteTensor* tensor,
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TfLiteIntArray* new_shape) {
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char* tensor_buffer;
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int bytes = WriteToBuffer(&tensor_buffer);
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if (new_shape == nullptr) {
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new_shape = TfLiteIntArrayCopy(tensor->dims);
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}
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// Set tensor content pointer to tensor_buffer, and release original data.
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TfLiteTensorReset(tensor->type, tensor->name, new_shape, tensor->params,
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tensor_buffer, bytes, kTfLiteDynamic, tensor->allocation,
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tensor->is_variable, tensor);
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}
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#endif // TF_LITE_STATIC_MEMORY
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} // namespace tflite
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