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/*
* Copyright (c) 2017 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 "arm_compute/core/NEON/kernels/convolution/winograd/winograd_gemm.hpp"
using namespace winograd;
template <int otr, int otc, int kr, int kc>
template <typename T>
WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::WeightsTransform(
const T* const input,
T* const output,
const int matrix_stride, /** Stride across matrices in the output. */
const int matrix_row_stride, /** Stride across rows of the matrix. */
const int n_output_channels,
const int n_input_channels
) : inptr(input), outptr(output),
matrix_stride(matrix_stride), matrix_row_stride(matrix_row_stride),
n_output_channels(n_output_channels), n_input_channels(n_input_channels)
{
}
template <int otr, int otc, int kr, int kc>
template <typename T>
unsigned int WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::get_window() 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;
}
template <int otr, int otc, int kr, int kc>
template <typename T>
void WinogradGEMM<otr, otc, kr, kc>::WeightsTransform<T>::run(
const unsigned int start, const unsigned int stop
)
{
// TODO When the weights transform supports multithreading call execute for a
// portion of the output channels.
(void) start;
(void) stop;
// For now, just do all of the work.
execute(
n_output_channels,
n_input_channels,
inptr,
outptr,
matrix_stride,
matrix_row_stride
);
}
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