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/*
* Copyright (c) 2018-2020, 2024 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 "convolver.hpp"
#include "mergeresults.hpp"
#include "transform.hpp"
#include "interleave_indirect.hpp"
namespace arm_gemm {
/*
* Define "standard" transforms for the blocked GEMMs with fixed vector
* length. This version supports accepting the RHS/B matrix in transposed
* format.
*
* This assumes that A is interleaved 'height' ways, B is interleaved
* 'width' ways and transposed, and that the merge needs to work in 'height'
* x 'width' blocks.
*
* The optional 'block' parameter is for kernels using dot-product type
* instructions like UDOT and SDOT.
*/
template<typename TOperand, typename TResult, unsigned int height, unsigned int width, unsigned int block=1, bool integrate_sums=false>
class StdTransformsFixedTRB
{
public:
template<typename TIn>
void PrepareA(TOperand *out, const TIn *in, const int stride, const int y0,
const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) const {
Interleave<height, block, VLType::None>(out, in, stride, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
}
template<typename TIn>
void PrepareA_indirect(TOperand *out, const TIn * const * const *ptr, size_t stringlen, size_t rounded_stringlen, const int y0,
const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) {
IndirectInterleave<height, block, VLType::None>(out, ptr, stringlen, rounded_stringlen, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
}
template<typename TIn>
void PrepareA_convolution(TOperand *out, const TIn *ptr, size_t stride, const convolver<TIn> &conv, size_t rounded_stringlen,
const int y0, const int ymax, const int k0, const int kmax, int32_t row_sum_multiplier) {
ConvolutionInterleave<height, block, VLType::None>(out, ptr, stride, conv, rounded_stringlen, y0, ymax, k0, kmax, integrate_sums, row_sum_multiplier);
}
bool PrepareB_supports_transpose() const {
return true;
}
template<typename TIn>
void PrepareB(TOperand *out, const TIn *in, const int stride, const int x0,
const int xmax, const int k0, const int kmax, bool transposed) const {
if (transposed) {
Transform<width, block, false>(out, in, stride, x0, xmax, k0, kmax);
} else {
Transform<width, block, true>(out, in, stride, x0, xmax, k0, kmax);
}
}
template<typename TOut>
void Merge(TOut *out, const TResult *in, int stride, int y0, int ymax, int x0, int xmax, const TOut *bias, const Activation act, bool append) const {
MergeResults<width, height>(out, in, stride, y0, ymax, x0, xmax, bias, act, append);
}
};
} // namespace arm_gemm
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