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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* 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.
*/
/**
* @file Convert.h
* @brief This header declares various as_tflite_TYPE functions
*/
#ifndef __CONVERT_H__
#define __CONVERT_H__
#include <tflchef.pb.h>
#include <mio/tflite/schema_generated.h>
tflite::Padding as_tflite_padding(const tflchef::Padding &value);
tflite::ActivationFunctionType as_tflite_activation(const tflchef::Activation &value);
tflite::TensorType as_tflite_tensortype(const tflchef::TensorType &value);
tflite::MirrorPadMode as_tflite_mirrorpadmode(const tflchef::MirrorPadMode &value);
tflite::DimensionType as_tflite_dimensiontype(const tflchef::DimensionType &value);
tflite::SparseIndexVector as_tflite_sparse_idx_vec_type(const tflchef::SparseIndexVecType &value);
flatbuffers::Offset<void>
as_tflite_sparse_index_vec(flatbuffers::FlatBufferBuilder &fb,
const ::tflchef::TensorSparsity_IndexVec &value);
// codes under namespace sparsity referenced from
// https://github.com/tensorflow/tensorflow/blob/3f878cff5b698b82eea85db2b60d65a2e320850e/
// tensorflow/lite/kernels/internal/utils/sparsity_format_converter.h
// tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc
namespace sparsity
{
// Storage format of each dimension in a sparse tensor.
typedef enum TfLiteDimensionType
{
kTfLiteDimDense = 0,
kTfLiteDimSparseCSR,
} TfLiteDimensionType;
template <typename T> class FormatConverter
{
public:
FormatConverter(const std::vector<int32_t> &shape, const std::vector<int32_t> &traversal_order,
const std::vector<TfLiteDimensionType> &format,
const std::vector<int32_t> &block_size = {},
const std::vector<int32_t> &block_map = {});
bool DenseToSparse(const T *src_data);
const std::vector<T> &GetData() { return data_; }
const std::vector<std::vector<int32_t>> &GetDimMetadata() { return dim_metadata_; }
private:
bool IsZero(const T val);
private:
std::vector<int32_t> dense_shape_;
std::vector<int32_t> blocked_shape_;
size_t dense_size_;
std::vector<int32_t> traversal_order_;
std::vector<TfLiteDimensionType> format_;
std::vector<int32_t> block_size_;
std::vector<int32_t> block_map_;
std::vector<std::vector<int32_t>> dim_metadata_;
std::vector<T> data_;
};
extern template class FormatConverter<float>;
extern template class FormatConverter<uint16_t>; // float16
} // namespace sparsity
#endif // __CONVERT_H__
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