chromium/third_party/tflite/src/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc

/* Copyright 2020 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/lite/kernels/internal/utils/sparsity_format_converter.h"

#include <algorithm>
#include <cstdint>
#include <utility>
#include <vector>

#include "Eigen/Core"  // from @eigen_archive
#include "tensorflow/lite/c/c_api_types.h"
#include "tensorflow/lite/c/common.h"

namespace tflite {
namespace internal {
namespace sparsity {

namespace {
uint64_t GetFlattenedIndex(const std::vector<int>& indices,
                           const std::vector<int>& shape) { … }

std::vector<int> TfLiteIntArrayToVector(const TfLiteIntArray* int_array) { … }

}  // namespace

template <typename T>
FormatConverter<T>::FormatConverter(
    const std::vector<int>& shape, const std::vector<int>& traversal_order,
    const std::vector<TfLiteDimensionType>& format,
    const std::vector<int>& block_size, const std::vector<int>& block_map)
    : … { … }

template <typename T>
TfLiteStatus FormatConverter<T>::DenseToSparse(const T* src_data) { … }

template <typename T>
FormatConverter<T>::FormatConverter(
    const std::vector<int>& shape, const std::vector<int>& traversal_order,
    const std::vector<TfLiteDimensionType>& format,
    const std::vector<int>& dense_size,
    const std::vector<std::vector<int>>& segments,
    const std::vector<std::vector<int>>& indices,
    const std::vector<int>& block_map) { … }

template <typename T>
FormatConverter<T>::FormatConverter(const std::vector<int>& shape,
                                    const TfLiteSparsity& sparsity) { … }

template <typename T>
void FormatConverter<T>::InitSparseToDenseConverter(
    std::vector<int> shape, std::vector<int> traversal_order,
    std::vector<TfLiteDimensionType> format, std::vector<int> dense_size,
    std::vector<std::vector<int>> segments,
    std::vector<std::vector<int>> indices, std::vector<int> block_map) { … }

template <typename T>
void FormatConverter<T>::Populate(const T* src_data, std::vector<int> indices,
                                  int level, int prev_idx, int* src_data_ptr,
                                  T* dest_data) { … }

template <typename T>
TfLiteStatus FormatConverter<T>::SparseToDense(const T* src_data) { … }

template <typename T>
TfLiteStatus FormatConverter<T>::SparseToDense(const T* src_data,
                                               const size_t dest_size,
                                               T* dest_data,
                                               TfLiteContext* context) { … }

template <typename T>
bool FormatConverter<T>::IsZero(const T val) { … }

template class FormatConverter<int32_t>;
template class FormatConverter<int8_t>;
template class FormatConverter<float>;
template class FormatConverter<Eigen::half>;

}  // namespace sparsity
}  // namespace internal
}  // namespace tflite