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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.
*/
#pragma once
#include "winograd.hpp"
using namespace winograd;
#define MEMBERFN(RTYPE) template <\
int KernelRows, int KernelCols, int InnerTileRows, int InnerTileCols, typename TIn, typename TOut, WinogradRoots Roots\
> RTYPE WeightTransform<KernelRows, KernelCols, InnerTileRows, InnerTileCols, TIn, TOut, Roots>
MEMBERFN()::WeightTransform(
const int n_output_channels,
const int n_input_channels
) : _n_output_channels(n_output_channels), _n_input_channels(n_input_channels),
_matrices(nullptr), _matrix_stride(0), _matrix_row_stride(0), _weights(nullptr)
{
}
MEMBERFN(void)::set_weight_tensor(const void * const weights)
{
_weights = static_cast<const TIn *>(weights);
}
MEMBERFN(void)::set_output_matrices(void * const mptr, const int ldmatrix, const int ldrow)
{
_matrices = static_cast<TOut *>(mptr);
_matrix_stride = ldmatrix;
_matrix_row_stride = ldrow;
}
MEMBERFN(size_t)::get_working_space_size(unsigned int) const
{
return 0;
}
MEMBERFN(void)::set_working_space(void *)
{
}
MEMBERFN(unsigned int)::get_window(void) const
{
// TODO When the weights transform supports multithreading, return the number
// of output channels. For now we return 1 to indicate that the weights must
// be transformed as a single block.
// return n_output_channels;
return 1;
}
MEMBERFN(void)::run(const unsigned int, const unsigned int, unsigned int)
{
execute(
_n_output_channels, _n_input_channels, _weights,
_matrices, _matrix_stride, _matrix_row_stride
);
}
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