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/*
* Copyright (c) 2018 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 "Im2Col.h"
#include "Permute.h"
#include "arm_compute/core/Types.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/Utils.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
void im2col_nchw(const SimpleTensor<T> &src, SimpleTensor<T> &dst, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
{
// Create reference
const int pad_x = conv_info.pad().first;
const int pad_y = conv_info.pad().second;
const int stride_x = conv_info.stride().first;
const int stride_y = conv_info.stride().second;
const int kernel_width = kernel_dims.width;
const int kernel_height = kernel_dims.height;
const int src_width = src.shape().x();
const int src_height = src.shape().y();
const int src_depth = src.shape().z();
const int batches = src.shape().total_size_upper(3);
const int pad_val = is_data_type_quantized_asymmetric(src.data_type()) ? src.quantization_info().offset : 0;
int dst_idx = 0;
for(int b = 0; b < batches; ++b)
{
for(int y = -pad_y; y <= (src_height + pad_y - kernel_height); y += stride_y)
{
for(int x = -pad_x; x <= (src_width + pad_x - kernel_width); x += stride_x)
{
for(int z = 0; z < src_depth; ++z)
{
for(int patch_y = y; patch_y < (y + kernel_height); ++patch_y)
{
for(int patch_x = x; patch_x < (x + kernel_width); ++patch_x)
{
dst[dst_idx++] = tensor_elem_at(src, Coordinates(patch_x, patch_y, z, b), BorderMode::CONSTANT, static_cast<T>(pad_val));
}
}
}
if(has_bias)
{
dst[dst_idx++] = static_cast<T>(1);
}
}
}
}
}
template <typename T>
SimpleTensor<T> im2col(const SimpleTensor<T> &src, const TensorShape &dst_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
{
SimpleTensor<T> dst{ dst_shape, src.data_type(), 1, src.fixed_point_position(), src.quantization_info() };
if(src.data_layout() == DataLayout::NHWC)
{
SimpleTensor<T> src_nchw = reference::permute<T>(src, PermutationVector(1U, 2U, 0U));
SimpleTensor<T> dst_nchw = reference::permute<T>(dst, PermutationVector(1U, 2U, 0U));
im2col_nchw(src_nchw, dst_nchw, kernel_dims, conv_info, has_bias);
return reference::permute<T>(dst_nchw, PermutationVector(2U, 0U, 1U));
}
im2col_nchw(src, dst, kernel_dims, conv_info, has_bias);
return dst;
}
template SimpleTensor<uint8_t> im2col(const SimpleTensor<uint8_t> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
template SimpleTensor<half> im2col(const SimpleTensor<half> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
template SimpleTensor<float> im2col(const SimpleTensor<float> &src, const TensorShape &output_shape, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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