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/*
* Copyright (c) 2017-2018 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.
*/
#pragma once
#include <stdio.h>
#include "arm_gemm.hpp"
#include "mergeresults.hpp"
#include "profiler.hpp"
#include "transform.hpp"
namespace arm_gemm
{
// Implementation of the GemmCommon abstract class.
//
// This is implementation is for a "native" (no-transform) GEMV with a
// transposed matrix.
//
// As a native operation the source data is used in-place, so the internal
// and external operand/result types must match.
template <typename strategy, typename To, typename Tr>
class GemvNativeTransposed : public GemmCommon<To, Tr>
{
typedef typename strategy::operand_type Toi;
typedef typename strategy::result_type Tri;
const unsigned int _Nsize;
const unsigned int _Ksize;
const Tr _alpha;
const CPUInfo *const _ci;
unsigned int m_block = 0;
unsigned int n_block = 0;
public:
GemvNativeTransposed(GemvNativeTransposed &) = delete;
GemvNativeTransposed &operator=(GemvNativeTransposed &) = delete;
GemvNativeTransposed(const CPUInfo *ci, const unsigned int N, const unsigned int K, const Tr alpha)
: _Nsize(N), _Ksize(K), _alpha(alpha), _ci(ci)
{
/* For now don't do any blocking. TODO: figure out if we should. */
m_block = K;
n_block = N;
}
// Window is number of out_width blocks.
unsigned int get_window_size() const override
{
return iceildiv(_Nsize, strategy::out_width);
}
// Actually execute the GEMV.
void execute(unsigned int start, unsigned int end, int) override
{
profiler prof;
strategy strat(_ci);
unsigned int N_start = start * strategy::out_width;
unsigned int N_end = std::min(end * strategy::out_width, _Nsize);
static_assert(std::is_same<To, Toi>::value, "gemv_transposed: Operand types must be the same.");
static_assert(std::is_same<Tr, Tri>::value, "gemv_transposed: Result types must be the same.");
for(unsigned int m0 = 0; m0 < _Ksize; m0 += m_block)
{
unsigned int mmax = std::min(m0 + m_block, _Ksize);
for(unsigned int n0 = N_start; n0 < N_end; n0 += n_block)
{
unsigned int nmax = std::min(n0 + n_block, N_end);
prof(PROFILE_KERNEL, ((mmax - m0) * (nmax - n0)), [&](void)
{
strat.kernel(this->_Bptr + (m0 * this->_ldb) + n0, this->_Aptr + m0, this->_Cptr + n0,
_alpha, this->_ldb, (mmax - m0), (nmax - n0));
});
}
}
}
};
} // namespace arm_gemm
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