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/*
* Copyright (c) 2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "addressing.hpp"
#include "src/core/NEON/kernels/arm_gemm/utils.hpp"
#include <cstring>
namespace arm_conv {
namespace addressing {
void fill_pointer_array(
size_t element_size,
void **dest_raw, const unsigned int array_rows, const unsigned int array_cols,
void *base_ptr_raw, size_t ld_row, size_t ld_col,
void *pad_buffer_raw,
const unsigned int pad_top, const unsigned int valid_rows,
const unsigned int pad_left, const unsigned int valid_cols
)
{
auto dest = reinterpret_cast<char **>(dest_raw);
auto base_ptr = reinterpret_cast<char *>(base_ptr_raw);
auto pad_buffer = reinterpret_cast<char *>(pad_buffer_raw);
ld_row *= element_size;
ld_col *= element_size;
const auto last_valid_row = std::min(pad_top + valid_rows, array_rows);
const auto last_valid_col = std::min(pad_left + valid_cols, array_cols);
unsigned int i = 0;
for (; i < pad_top; i++)
{
for (unsigned int j = 0; j < array_cols; j++)
{
*(dest++) = pad_buffer;
}
}
for (; i < last_valid_row; i++)
{
unsigned int j = 0;
auto colptr = base_ptr;
base_ptr += ld_row;
for (; j < pad_left; j++)
{
*(dest++) = pad_buffer;
}
for (; j < last_valid_col; j++)
{
*(dest++) = colptr;
colptr += ld_col;
}
for (; j < array_cols; j++)
{
*(dest++) = pad_buffer;
}
}
for (; i < array_rows; i++)
{
for (unsigned int j = 0; j < array_cols; j++)
{
*(dest++) = pad_buffer;
}
}
}
void fill_pointer_array_generic_kernel(
const size_t element_size,
void **dest_raw,
const unsigned int output_rows, const unsigned int output_cols,
const unsigned int kernel_rows, const unsigned int kernel_cols,
const unsigned int stride_rows, const unsigned int stride_cols,
void *base_ptr_raw, size_t ld_row, size_t ld_col,
void *pad_buffer_raw,
const unsigned int pad_top, const unsigned int valid_rows,
const unsigned int pad_left, const unsigned int valid_cols
)
{
auto dest = reinterpret_cast<char **>(dest_raw);
auto base_ptr = reinterpret_cast<char *>(base_ptr_raw);
auto pad_buffer = reinterpret_cast<char *>(pad_buffer_raw);
ld_row *= element_size;
ld_col *= element_size;
const auto last_valid_row = pad_top + valid_rows;
const auto last_valid_col = pad_left + valid_cols;
const auto point_stride = output_rows * output_cols;
// Iterate over the output points, after every point increment the pointer
// into the address array.
for (unsigned int oi = 0; oi < output_rows; oi++)
{
for (unsigned int oj = 0; oj < output_cols; oj++)
{
auto point_dest = dest;
dest++;
// Iterate over kernel points and fill in the pointer array.
unsigned int ki = 0, ii = oi*stride_rows;
for (; ii < pad_top && ki < kernel_rows; ii++, ki++)
{
// Fill with padding
for (unsigned int j = 0; j < kernel_cols; j++)
{
*point_dest = pad_buffer;
point_dest += point_stride;
}
}
for (; ii < last_valid_row && ki < kernel_rows; ii++, ki++)
{
unsigned int kj = 0, ij = oj*stride_cols;
for (; ij < pad_left && kj < kernel_cols; ij++, kj++)
{
// Padding
*point_dest = pad_buffer;
point_dest += point_stride;
}
for (; ij < last_valid_col && kj < kernel_cols; ij++, kj++)
{
*point_dest = base_ptr + (ii - pad_top)*ld_row + (ij - pad_left)*ld_col;
point_dest += point_stride;
}
for (; kj < kernel_cols; kj++)
{
// Padding
*point_dest = pad_buffer;
point_dest += point_stride;
}
}
for (; ki < kernel_rows; ki++)
{
// Fill with padding
for (unsigned int j = 0; j < kernel_cols; j++)
{
*point_dest = pad_buffer;
point_dest += point_stride;
}
}
}
}
}
/* Patch array constructor
*
* Some depthwise kernels require an NCHW-ordered patch of input. Here we
* construct such a patch, and fill in an array of pointers to the rows of the
* patch.
*/
void fill_nchw_patch_array(
size_t element_size,
const void **dest_row_pointers_raw, // Array of pointers to each row of the patch
void *dest_patch_raw, // Pointer to space which can be used to construct the patch
const unsigned int patch_rows, unsigned int patch_cols, // Patch size
const void *src_ptr_raw, size_t ld_row, size_t ld_col, // Source tensor
const void *pad_row, // Pointer to a row of padding values
const unsigned int pad_top, const unsigned int valid_rows,
const unsigned int pad_left, const unsigned int valid_cols
)
{
// Convert into more useful types
auto row_pointers = reinterpret_cast<const char **>(dest_row_pointers_raw);
auto dest_patch = reinterpret_cast<char *>(dest_patch_raw);
auto src = reinterpret_cast<const char *>(src_ptr_raw);
ld_row *= element_size;
ld_col *= element_size;
// Round up the patch columns to be a full quad
patch_cols = arm_gemm::roundup<unsigned int>(patch_cols, 16 / element_size);
const auto last_valid_row = std::min(pad_top + valid_rows, patch_rows);
const auto last_valid_col = std::min(pad_left + valid_cols, patch_cols);
// Construct the patch and row pointer array together
unsigned int i = 0;
for (; i < pad_top; i++)
{
// Insert pointers into the padding row
*(row_pointers++) = reinterpret_cast<const char *>(pad_row);
}
for (; i < last_valid_row; i++)
{
// Get a copy of the pointer for this row
auto colptr = src;
src += ld_row;
// If the input is already in NCHW format (ld_col == element_size) AND
// there is no padding, then we just use a pointer to the source tensor;
// otherwise we need to construct a patch and provide a pointer to it.
if (ld_col == element_size && pad_left == 0 && last_valid_col == patch_cols)
{
*(row_pointers++) = colptr;
}
else
{
auto patch_col = dest_patch;
*(row_pointers++) = dest_patch;
dest_patch += element_size * patch_cols; // Move the patch pointer on
// Construct the patch; fill the entirety with padding and then copy in
// the valid elements.
memcpy(patch_col, pad_row, element_size * patch_cols);
patch_col += pad_left * element_size; // Move over the left padding
if (ld_col == element_size)
{
// If the input is NCHW then copy across as many columns as we can.
memcpy(patch_col, colptr, (last_valid_col - pad_left) * element_size);
}
else
{
// If the input is NHWC then copy columns across in turn.
for (auto j = pad_left; j < last_valid_col; j++)
{
memcpy(patch_col, colptr, element_size); // Copy the valid element
patch_col += element_size; // Progress the patch destination
colptr += ld_col; // Progress the patch source
}
}
}
}
for (; i < patch_rows; i++)
{
// Insert pointers into the padding row
*(row_pointers++) = reinterpret_cast<const char *>(pad_row);
}
}
/* Patch array constructor (generic kernels)
*
* Construct an array of pointers; one pointer for each output row for each
* kernel point. Pointers should point at a whole number of QUADS containing an
* input point for each output point. If the kernel column stride is 1 and the
* data is NCHW then the input tensor might be addressed directly, otherwise a
* new patch sample might need to be constructed.
*/
void fill_patch_array_generic_kernel(
size_t element_size,
const void **dest_pointers_raw, // Pointers: one per output row per kernel point
void *patch_raw, // Pointer to space which can be used to construct the patch
const unsigned int output_rows, const unsigned int output_cols,
const unsigned int kernel_rows, const unsigned int kernel_cols,
const unsigned int stride_rows, const unsigned int stride_cols,
const void *src_ptr_raw, size_t ld_row, size_t ld_col, // Source tensor
const void *pad_row, // Pointer to a row of padding values
const unsigned int pad_top, const unsigned int valid_rows,
const unsigned int pad_left, const unsigned int valid_cols
)
{
auto dest = reinterpret_cast<const char **>(dest_pointers_raw);
auto patch = reinterpret_cast<char *>(patch_raw);
auto src_ptr = reinterpret_cast<const char *>(src_ptr_raw);
ld_row *= element_size;
ld_col *= element_size;
// Round up the patch columns to a multiple of quad-length
const auto patch_cols = arm_gemm::roundup<unsigned int>(output_cols, 16 / element_size);
const auto input_rows = kernel_rows + (output_rows - 1) * stride_rows;
const auto last_valid_row = std::min(pad_top + valid_rows, input_rows);
const auto input_cols = kernel_cols + (output_cols - 1) * stride_cols;
const auto last_valid_col = std::min(pad_left + valid_cols, input_cols);
for (auto ki = 0u; ki < kernel_rows; ki++)
{
for (auto kj = 0u; kj < kernel_cols; kj++)
{
auto oi = 0u, ii = ki;
for (; oi < output_rows && ii < pad_top; oi++, ii += stride_rows)
{
// Insert a pointer to the padding row
*(dest++) = reinterpret_cast<const char *>(pad_row);
}
for (; oi < output_rows && ii < last_valid_row; oi++, ii += stride_rows)
{
auto rowptr = src_ptr + (ii - pad_top) * ld_row;
// Construct a sample of the input here
auto patch_pos = patch;
*(dest++) = patch;
patch += patch_cols * element_size;
// Fill with padding
memcpy(patch_pos, pad_row, patch_cols * element_size);
// Fill in the valid elements
auto oj = 0u, ij = kj;
for (; oj < patch_cols && ij < pad_left; oj++, ij += stride_cols)
{
// Do nothing for padding
patch_pos += element_size;
}
for (; oj < patch_cols && ij < last_valid_col; oj++, ij += stride_cols)
{
// Copy from the source tensor
memcpy(patch_pos, rowptr + (ij - pad_left)*ld_col, element_size);
patch_pos += element_size;
}
// No action required for right-hand padding
}
for (; oi < output_rows; oi++)
{
*(dest++) = reinterpret_cast<const char *>(pad_row);
}
}
}
}
} // namespace addressing
} // namespace arm_conv