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/*
* Copyright (c) 2019 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 "impl_base.hpp"
// TODO Move to common utilities somewhere
template <size_t Size> struct DType { };
template <> struct DType<1> { using scalar_type = uint8_t; };
template <> struct DType<2> { using scalar_type = uint16_t; };
template <> struct DType<4> { using scalar_type = uint32_t; };
namespace depthwise
{
template <unsigned int KernelRows, unsigned int KernelColumns, size_t WeightSize, size_t BiasSize>
void PackParameters<KernelRows, KernelColumns, WeightSize, BiasSize>::execute(
unsigned int n_channels,
void *buffer,
const void *weights,
const unsigned int weight_row_stride,
const unsigned int weight_col_stride,
const void *biases
)
{
using TWeight = typename DType<WeightSize>::scalar_type;
using TBias = typename DType<BiasSize>::scalar_type;
auto buffer_ptr = static_cast<uint8_t *>(buffer);
auto weights_ptr = static_cast<const TWeight *>(weights);
auto biases_ptr = static_cast<const TBias *>(biases);
const unsigned int veclen = 16 / WeightSize;
for (; n_channels >= veclen; n_channels -= veclen)
{
// Copy biases
for (unsigned int i = 0; i < veclen; i++)
{
auto ptr = reinterpret_cast<TBias *>(buffer_ptr);
*ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++);
buffer_ptr += BiasSize;
}
// Copy weights
for (unsigned int i = 0; i < KernelRows; i++)
{
for (unsigned int j = 0; j < KernelColumns; j++)
{
for (unsigned int c = 0; c < veclen; c++)
{
*(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride + c];
buffer_ptr += WeightSize;
}
}
}
weights_ptr += veclen;
}
for (; n_channels; n_channels--)
{
// Copy bias
auto ptr = reinterpret_cast<TBias *>(buffer_ptr);
*ptr = (biases_ptr == nullptr) ? 0x0 : *(biases_ptr++);
buffer_ptr += BiasSize;
// Copy weights
for (unsigned int i = 0; i < KernelRows; i++)
{
for (unsigned int j = 0; j < KernelColumns; j++)
{
*(reinterpret_cast<TWeight *>(buffer_ptr)) = weights_ptr[i*weight_row_stride + j*weight_col_stride];
buffer_ptr += WeightSize;
}
}
weights_ptr++;
}
}
template struct PackParameters<3, 3, 2ul, 2ul>;
template struct PackParameters<3, 3, 4ul, 4ul>;
template struct PackParameters<5, 5, 2ul, 2ul>;
template struct PackParameters<5, 5, 4ul, 4ul>;
} // namespace
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