115 lines
3.8 KiB
C++
115 lines
3.8 KiB
C++
/* Copyright 2019 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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#ifndef TENSORFLOW_LITE_EXPERIMENTAL_RESOURCE_LOOKUP_UTIL_H_
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#define TENSORFLOW_LITE_EXPERIMENTAL_RESOURCE_LOOKUP_UTIL_H_
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#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
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#include "tensorflow/lite/string_util.h"
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namespace tflite {
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namespace resource {
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namespace internal {
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/// Helper class for accessing TFLite tensor data.
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template <typename T>
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class TensorReader {
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public:
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explicit TensorReader(const TfLiteTensor* input) {
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input_data_ = GetTensorData<T>(input);
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}
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// Returns the corresponding scalar data at the given index position.
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// In here, it does not check the validity of the index should be guaranteed
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// in order not to harm the performance. Caller should take care of it.
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T GetData(int index) { return input_data_[index]; }
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private:
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const T* input_data_;
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};
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/// Helper class for accessing TFLite tensor data. This specialized class is for
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/// std::string type.
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template <>
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class TensorReader<std::string> {
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public:
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explicit TensorReader(const TfLiteTensor* input) : input_(input) {}
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// Returns the corresponding string data at the given index position.
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// In here, it does not check the validity of the index should be guaranteed
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// in order not to harm the performance. Caller should take care of it.
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std::string GetData(int index) {
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auto string_ref = GetString(input_, index);
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return std::string(string_ref.str, string_ref.len);
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}
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private:
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const TfLiteTensor* input_;
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};
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/// WARNING: Experimental interface, subject to change.
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/// Helper class for writing TFLite tensor data.
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template <typename ValueType>
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class TensorWriter {
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public:
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explicit TensorWriter(TfLiteTensor* values) {
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output_data_ = GetTensorData<ValueType>(values);
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}
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// Sets the given value to the given index position of the tensor storage.
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// In here, it does not check the validity of the index should be guaranteed
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// in order not to harm the performance. Caller should take care of it.
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void SetData(int index, ValueType& value) { output_data_[index] = value; }
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// Commit updates. In this case, it does nothing since the SetData method
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// writes data directly.
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void Commit() {
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// Noop.
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}
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private:
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ValueType* output_data_;
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};
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/// WARNING: Experimental interface, subject to change.
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/// Helper class for writing TFLite tensor data. This specialized class is for
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/// std::string type.
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template <>
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class TensorWriter<std::string> {
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public:
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explicit TensorWriter(TfLiteTensor* values) : values_(values) {}
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// Queues the given string value to the buffer regardless of the provided
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// index.
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// In here, it does not check the validity of the index should be guaranteed
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// in order not to harm the performance. Caller should take care of it.
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void SetData(int index, const std::string& value) {
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buf_.AddString(value.data(), value.length());
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}
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// Commit updates. The stored data in DynamicBuffer will be written into the
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// tensor storage.
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void Commit() { buf_.WriteToTensor(values_, nullptr); }
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private:
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TfLiteTensor* values_;
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DynamicBuffer buf_;
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};
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} // namespace internal
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} // namespace resource
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} // namespace tflite
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#endif // TENSORFLOW_LITE_EXPERIMENTAL_RESOURCE_LOOKUP_UTIL_H_
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