chromium/third_party/tflite/src/tensorflow/lite/kernels/internal/optimized/im2col_utils.h

/* Copyright 2019 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_IM2COL_UTILS_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_IM2COL_UTILS_H_

#include <algorithm>
#include <cassert>

#include "ruy/profiler/instrumentation.h"  // from @ruy
#include "tensorflow/lite/kernels/internal/types.h"

namespace tflite {
namespace optimized_ops {

template <typename T>
inline void ExtractPatchIntoBufferColumn(
    const RuntimeShape& input_shape, int w, int h, int b, int kheight,
    int kwidth, int stride_width, int stride_height, int pad_width,
    int pad_height, int in_width, int in_height, int in_depth,
    int single_buffer_length, int buffer_id, const T* in_data,
    T* conv_buffer_data, uint8_t zero_byte) { … }

// Supports per-batch zero_byte for per-batch asymmetric quantized inputs.
template <typename T>
void DilatedIm2col(const ConvParams& params, const RuntimeShape& input_shape,
                   const T* input_data, const RuntimeShape& filter_shape,
                   const RuntimeShape& output_shape, T* im2col_data,
                   const int32_t* zero_bytes, const int zero_bytes_len) { … }

template <typename T>
void DilatedIm2col(const ConvParams& params, uint8_t zero_byte,
                   const RuntimeShape& input_shape, const T* input_data,
                   const RuntimeShape& filter_shape,
                   const RuntimeShape& output_shape, T* im2col_data) { … }

template <typename T>
void Im2col(const ConvParams& params, int kheight, int kwidth,
            uint8_t zero_byte, const RuntimeShape& input_shape,
            const T* input_data, const RuntimeShape& output_shape,
            T* output_data) { … }

template <typename T>
void Im2col(const ConvParams& params, int kheight, int kwidth,
            const int32_t* input_offsets, const int input_offsets_size,
            const RuntimeShape& input_shape, const T* input_data,
            const RuntimeShape& output_shape, T* output_data) { … }

template <typename T>
inline void ExtractPatchIntoBufferColumn3D(
    int b, int d, int h, int w,                             // Output indexes.
    int kdepth, int kheight, int kwidth,                    // Kernel params.
    int stride_depth, int stride_height, int stride_width,  // Stride params.
    int pad_depth, int pad_height, int pad_width,           // Padding params.
    int in_depth, int in_height, int in_width, int in_channel,  // Input shape.
    int output_row_offset, const T* in_data, T* conv_buffer_data,
    uint8_t zero_byte) { … }

template <typename T>
void Im2col3D(const Conv3DParams& params, int kdepth, int kheight, int kwidth,
              uint8_t zero_byte, const RuntimeShape& input_shape,
              const T* input_data, const RuntimeShape& im2col_shape,
              T* im2col_data) { … }

template <typename T>
inline void DilatedIm2col3D(const Conv3DParams& params, int filter_depth,
                            int filter_height, int filter_width,
                            uint8_t zero_byte, const RuntimeShape& input_shape,
                            const T* input_data,
                            const RuntimeShape& im2col_shape, T* im2col_data) { … }

}  // namespace optimized_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_IM2COL_UTILS_H_